Mulesoft Archives - gettectonic.com

09Oct

Einstein 1 is Coming

What Does the New Einstein 1 Data Cloud Mean for Your Organization? Einstein 1 is Coming One of the major announcements at Dreamforce was the exciting intro that Einstein 1 is Coming. The Einstein 1 Data Cloud is now natively integrated with the Einstein 1 Platform. This integration allows users to connect any data, create unified customer profiles, and enhance every customer experience with AI, automation, and analytics. This is a giant step for Salesforce-kind. It can revolutionize the ways businesses engage with their customers. While this announcement is exciting, what does it mean for organizations at different stages of their Salesforce journey? In this insight, we explore the announcement details, considerations for using the Einstein 1 Data Cloud in your company, and how Tectonic can assist in navigating this new offering. What’s New with the Platform? The integration of Salesforce Data Cloud and Einstein AI into the Einstein 1 Platform marks a significant enhancement. The platform integration enables companies to securely connect any data, build AI-powered apps with low code, and deliver superior CRM experiences. It unifies data across the enterprise by mapping it to Salesforce’s underlying metadata framework, regardless of how the data is structured in disparate systems. Regardless of how complex it is. What is Einstein 1 Data Cloud? The Key to Unified Data Salesforce Einstein 1 Data Cloud unifies customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data to create a single view of the customer. This integration unlocks otherwise siloed data and scales operations in new ways: Salesforce has announced that Enterprise Edition and above customers can use Data Cloud at no additional cost. However, organizations should consider their position on the Salesforce maturity curve before implementation. Data Cloud’s capabilities, while extensive, might not fully optimize data for organizations further along in their Salesforce journey without a thorough trial. What is the Einstein Conversational Assistant? An AI-Powered Shift Einstein now includes a generative AI-powered conversational assistant featuring Einstein Copilot and Einstein Copilot Studio. These tools operate within the Einstein Trust Layer, a secure AI architecture native to the Einstein 1 Platform that ensures data privacy and security. Why Should Organizations Consider Einstein 1? Customer data is often fragmented and siloed across disparate systems, preventing a unified view necessary for informed business decision-making. Data unification is essential for data-driven decision making and fully getting the full ROI of AI. AI is a major trend in technology, but effective AI requires comprehensive, aligned data. Without a unified data foundation, AI’s potential is limited. Einstein 1 with Data Cloud provides the solution by consolidating data, enabling the training of AI models to make optimal decisions and recommendations. How Can Tectonic Help You Transition? Tectonic brings extensive Salesforce expertise and industry-specific experience in sectors heavily reliant on data, such as healthcare, financial services, and travel and tourism. These industries face strict data regulations and often have siloed data in legacy systems. Einstein 1 helps organizations achieve a 360-degree view of their customers by unifying data. Tectonic can assist in maximizing AI on the Salesforce platform by building a robust data foundation and providing a roadmap for future scalability. While both Einstein 1 and AI Cloud are Salesforce terms that promise AI-driven capabilities, there are differences to consider. Einstein 1 Platform is a comprehensive suite that includes Data Cloud, AI tools, and automation capabilities. In contrast, AI Cloud is more of an overarching term that might encompass Einstein 1 as part of its suite, focusing on the broader application of AI across Salesforce’s entire range of products and services. Understanding these distinctions is critical in identifying which solution aligns with your organizational needs. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 9, 2023in Einstein 1 Platform, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein

09Oct

Case Study: Largest Native American Tribe in the US-Citizen Engagement for Tribes-Salesforce Public Sector Solutions (PSS)/Health Cloud/Experience Cloud/Marketing Cloud and Mulesoft

Citizen Engagement for Tribes Salesforce Tribal Government MuleSoft Experience Cloud Health Cloud Public Sector Solutions (PSS) Health Cloud Experience Cloud Tribal Nation Solutions MuleSoft Marketing Cloud salesforce tribal government mulesoft Industry: Tribes – Government & Healthcare PROBLEM: SOLUTION: Implementation of Salesforce Public Sector Solutions (PSS), Health Cloud, Experience Cloud, Marketing Cloud & MuleSoft: RESULTS: Like1 Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

October 9, 2023in Mulesoft, Salesforce Experience Cloud, Salesforce Government Cloud, Salesforce Health Cloud, Salesforce Marketing Cloud, Salesforce Public Sector Solutions, Salesforce Success Stories

13Sep

The Crucial Role of Data and Integration in AI at Dreamforce

Understanding The Crucial Role of Data and Integration in AI at Dreamforce At this year’s Dreamforce, AI is the star of the show, but two essential supporting actors are data and integration. Enterprises are increasingly recognizing the importance of unifying their diverse data sources for effective analysis and swift action, and the race to harness AI makes this integration even more critical. Integration is key not only for merging data but also for automating end-to-end processes, enabling organizations to move faster and deliver better outcomes to customers. Crucial Role of Data and Integration in AI at Dreamforce. It’s no surprise that MuleSoft, acquired by Salesforce five years ago, is now a major contributor to Salesforce’s growth. Brian Millham, President and COO at Salesforce, highlighted this during the company’s recent Q2 earnings call: “In Q2, nearly half of our greater than $1 million deals included MuleSoft. As customers integrate data from all sources to drive efficiency, growth, and insights, MuleSoft has become mission-critical and was included in half of our top 10 deals.” Breaking Down Silos Param Kahlon, EVP and General Manager for Automation and Integration at Salesforce, recently discussed the investments customers are making in data and integration. He emphasized the importance of breaking down operational silos: “We are in the business of breaking silos across systems to ensure that data can travel seamlessly through multiple systems and people for processes like order-to-cash or procure-to-pay. Our technology connects these dots.” The surge in AI interest has increased the urgency to act, as Kahlon explained: “Creating data repositories for AI algorithms requires real-time data across silos, driving significant demand for our integration solutions.” Consolidating Data Enterprises have long struggled with data consolidation due to monolithic application stacks with separate data stores. This has been a challenge even within Salesforce’s own products. Last year, Salesforce introduced a Customer Data Platform (CDP) called Data Cloud, which includes a real-time data layer named Genie. Kahlon elaborated on its significance: “Data Cloud’s strength lies in its understanding and storage of Salesforce metadata. This native integration allows for real-time actions within Salesforce, enhancing the ability to aggregate, reason over, and act on data.” For example, when a customer contacts a bank, Data Cloud can compile their ATM usage, website interactions, and recent support cases, providing the agent with a comprehensive view to better assist the customer. Leveraging Metadata for AI Salesforce’s metadata layer, which has been fine-tuned over two decades, gives it a distinct advantage. Kahlon noted: “This metadata-based architecture allows us to create meaningful AI algorithms that are natively consumed within Salesforce, enabling visualization and action based on real-time data.” This is crucial for training the underlying Large Language Model (LLM) accurately, ensuring generated content is contextually grounded and trustworthy. Kahlon emphasized: “The trust layer is essential. We need to ensure no hallucination or toxicity in the LLM’s responses, and that communications align with our company’s values.” Real-Time Data and API Management Data Cloud’s ability to connect to other data sources like Snowflake without duplicating data is a significant benefit. Kahlon commented: “Duplicating data is not desirable. Customers need real-time access to the actual source of truth.” On the integration front, APIs have simplified connecting applications and data sources. However, managing API sprawl is crucial. Kahlon explained: “Standardizing API use and publishing them in a centralized portal is essential for reusability and consistency. Low-code platforms and connectors are becoming increasingly relevant, enabling business users to access data without relying on IT.” Automation and AI The demand for automation is growing, and low-code tools are vital. Instead of integration experts being overwhelmed, organizations should establish Centers for Excellence to focus on creating reusable connectors and automations. Kahlon added: “Companies need low-code tools to involve more business users in the transformation journey without slowing down due to legacy applications.” In the future, AI may further ease the workload on integration specialists. MuleSoft recently introduced an API Experience Hub to make APIs discoverable, and AI might eventually help monitor execution logs and manage APIs more effectively. Kahlon concluded: “AI could help developers find and use APIs efficiently, enhancing security and governance while simplifying access to data across the organization.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

September 13, 2023in Mulesoft, Salesforce, Salesforce Einstein, Snowflake

25Jul

Marketing Cloud 360

Make every moment with prospects and customers count with Salesforce Marketing Cloud 360. In today’s competitive landscape, personalized experiences are essential for meeting customer expectations and fulfilling their unique needs. Understanding customer behavior and preferences is not just a bonus insight but a critical requirement for businesses looking to market products and services effectively. Salesforce Customer 360 plays a pivotal role in enabling seamless customer journeys for both B2B and B2C companies by optimizing internal and external channels. Customer 360 is a comprehensive Salesforce technology suite—a unified CRM platform that bridges the gap between customers and businesses. It provides a 360-degree view of customer data based on their past interactions. Salesforce Marketing Cloud is an essential component. Marketers face challenges in applying insights to marketing strategies, and the speed of gaining insights is crucial. A significant percentage of marketers monitor cross-channel performance monthly or less. They find it too time consuming. They don’t have dedicated resources or tools. In recent years, data privacy regulations have driven businesses towards a consumer-first, consent-based approach to data collection. Technology plays a crucial role in helping marketers adapt to these changing standards and expectations. Salesforce Customer 360 offers an integrated CRM platform that organizes user data and provides a consolidated view of customers’ perceptions of businesses. It allows you to better identify users and make data-driven decisions. Customer 360 enables businesses to establish strong connections with data sources and other applications. It’s a flexible platform designed to meet the essential needs of companies in understanding their customers. Organizations can access a centralized database of user information to develop targeted multi-touch campaigns, track campaign effectiveness, evaluate sales opportunities, and gain actionable insights. However, a significant percentage of marketers evaluate cross-channel marketing performance in silos, either at the channel or platform level, instead of using a centralized view. Data integration and management remain challenges in achieving a cohesive view of cross-channel performance. Marketers encounter obstacles in connecting data from different business units and preparing data across sources. Marketing Cloud 360 Salesforce Customer 360 offers key components that facilitate deeper customer connections: Salesforce Customer 360 empowers organizations to leverage customer data effectively, drive personalized experiences, and optimize marketing campaigns. Key features of Salesforce Customer 360 include: Salesforce Customer 360 integrates seamlessly with other systems through MuleSoft, facilitating data integration and enabling personalized customer experiences. By implementing Salesforce Customer 360 and Salesforce Marketing Cloud, businesses can unify customer data, drive more meaningful interactions, and gain a competitive advantage through superior customer experiences and data-driven decision-making. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

July 25, 2023in Mulesoft, Salesforce, Salesforce Marketing Cloud

21Jul

The Evolution of Salesforce Data Cloud

The Evolution of Salesforce Data Cloud Salesforce’s journey to Data Cloud started with its acquisition of Krux in 2016, which was later rebranded as Salesforce DMP. This transformation gained momentum in 2019 when Salesforce introduced its customer data platform (CDP), incorporating Salesforce DMP. Subsequent acquisitions of Datorama, MuleSoft, Tableau, and Evergage (now Interaction Studio) enriched Salesforce CDP’s functionality, creating today’s robust Data Cloud. Understanding Customer Data Platforms (CDPs) A customer data platform (CDP) aggregates customer data from multiple channels to create a unified customer profile, enabling deeper insights and real-time personalization. A CDP serves as a centralized customer data repository, merging isolated databases from marketing, service, and ecommerce to enable easy access to customer insights. Salesforce’s “State of Marketing” report highlights the impact of CDPs, noting that 78% of high-performing businesses use CDPs, compared to 58% of underperformers. This analysis explores the evolution of CDPs and their role in transforming customer relationship management (CRM) and the broader tech ecosystem, turning customer data into real-time interactions. Key Functions of a Customer Data Platform (CDP) CDPs perform four main functions: data collection, data harmonization, data activation, and data insights. Origins of Customer Data Platforms (CDPs) CDPs evolved as the latest advancement in customer data management, driven by the need for a unified marketing data repository. Unlike earlier tools that were often limited to specific channels, CDPs enable real-time data synchronization and cross-platform engagement. Advances in AI, automation, and machine learning have made this level of segmentation and personalization attainable. The Future of Customer Data Platforms (CDPs) The next generation of CDPs, like Salesforce’s Data Cloud, supports real-time engagement across all organizational functions—sales, service, marketing, and commerce. Data Cloud continuously harmonizes and updates customer data, integrating seamlessly with Salesforce products to process over 100 billion records daily. With Data Cloud, organizations gain: Benefits of a Customer Data Platform (CDP) CDPs provide comprehensive insights into customer interactions, supporting personalization and cross-selling. Beyond segmentation, they serve as user-friendly platforms for audience analysis and data segmentation, simplifying day-to-day data management. Data Cloud allows organizations to transform customer data into personalized, seamless experiences across every customer touchpoint. Leading brands like Ford and L’Oréal utilize Data Cloud to deliver connected, real-time interactions that enhance customer engagement. The Need for Customer Data Platforms (CDPs) CDPs address critical data management challenges by unifying disjointed data sources, resolving customer identities, and enabling seamless segmentation. These capabilities empower companies to maximize the potential of their customer data. CDP vs. CRM CDPs are an evolution of traditional CRM, focusing on real-time, highly personalized interactions. While CRMs store known customer data, CDPs like Data Cloud enable real-time engagement, making it the world’s first real-time CRM by powering Salesforce’s Customer 360. Selecting the Right CDP When choosing a CDP, the focus often falls into two areas: insights and engagement. An insights-oriented CDP prioritizes data integration and management, while an engagement-focused CDP leverages data for real-time personalization. Data Cloud combines both, integrating real-time CDP capabilities to deliver unmatched insights and engagement across digital platforms. Content updated October 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

July 21, 2023in Data, Mulesoft, Salesforce, Salesforce Data Cloud

03Jun

Migrating from Zoho to Salesforce

Migrating from Zoho to Salesforce is a major undertaking that can significantly enhance a business’s CRM processes as it scales. To ensure a smooth transition, careful planning, data preparation, and execution are essential for accurate and efficient data transfer. In this guide, we’ll outline a step-by-step approach to migrating from Zoho to Salesforce, covering everything from pre-migration planning to post-migration follow-up. Step 1: Pre-Migration Planning 1. Evaluate Your Business RequirementsBegin by assessing your current and future CRM needs. Identify critical functionalities in Zoho that you depend on and determine which Salesforce features will either replace or enhance them. Consider: This evaluation ensures that Salesforce is configured to align with your business processes during the migration. 2. Assign a Project TeamForming a dedicated project team is crucial for a successful migration. Include stakeholders from various departments, designate a project manager to oversee the migration, and enlist CRM specialists familiar with both Zoho and Salesforce. You might also consider hiring a certified Salesforce consultant or partner to assist with technical aspects. 3. Backup Your DataBefore starting the migration, back up your data from Zoho. Export all relevant information, including: This backup ensures you have a complete copy in case any issues arise during the migration. Step 2: Preparing Salesforce for Migration 1. Customize Salesforce to Fit Your NeedsNow is the time to tailor Salesforce to reflect your existing business processes. Review the custom fields, objects, workflows, and automations in Zoho, replicating or enhancing them in Salesforce. Salesforce’s high customization level allows you to optimize your CRM for your team’s specific needs. 2. Set Up IntegrationsIf you’ve been using third-party tools integrated with Zoho, establish the corresponding integrations in Salesforce. The Salesforce AppExchange offers a range of integrations, from email marketing platforms to accounting systems. Ensure the necessary tools are connected before migrating your data. Step 3: Data Migration 1. Map Data FieldsTo facilitate accurate data transfer between Zoho and Salesforce, map your Zoho data fields to their Salesforce counterparts. For instance, “Account Name” in Zoho should correspond to “Account” in Salesforce. Create equivalent custom fields in Salesforce if they exist in Zoho. 2. Cleanse Your DataData cleansing is vital to ensure only relevant, accurate, and up-to-date information is migrated. Remove duplicates, outdated contacts, and incorrect data from Zoho. This step streamlines the migration process and enhances the quality of your Salesforce database. 3. Choose a Migration ToolSelect an appropriate tool for migrating data between CRMs, such as: Depending on your data’s complexity, choose a tool that provides additional support, such as mapping or automation features. 4. Perform a Test MigrationConduct a test migration using a subset of your data before proceeding with the full migration. This allows you to verify that everything transfers correctly and identify any issues with data formatting, relationships between objects, or custom fields. Adjust your mapping and migration processes based on the test results. Step 4: Full Data Migration Once you’re satisfied with the test migration results, proceed with the complete data migration from Zoho to Salesforce. This process may take time, depending on your data‘s size and complexity, so plan for downtime or staggered migrations to minimize disruptions to your team’s workflow. Step 5: Post-Migration Setup and Testing 1. Validate Your DataAfter the full migration, verify that all data has been transferred accurately. Check for discrepancies between Zoho and Salesforce records, ensuring that relationships (e.g., contacts linked to accounts) remain intact. 2. Recreate Automation and WorkflowsRe-establish any automations, workflows, or triggers that were functioning in Zoho within Salesforce. Utilize Salesforce’s automation tools, like Process Builder or Flow, to replicate these processes. Adjust them as necessary to leverage Salesforce’s advanced capabilities. 3. Train Your TeamSuccessful migration extends beyond data transfer; it’s crucial to ensure your team is equipped to use Salesforce effectively. Conduct training sessions focused on new features and workflows, providing documentation or cheat sheets to facilitate adjustment. 4. Monitor System PerformancePost-migration, monitor your Salesforce instance for any performance issues or data inconsistencies. Make necessary adjustments and ensure that integrations are functioning as expected. Step 6: Post-Migration Follow-Up 1. Run Parallel OperationsConsider operating both systems in parallel for a brief period to confirm Salesforce is fully functional before phasing out Zoho. This allows your team to continue using Zoho if critical issues arise in Salesforce during the transition. 2. Optimize Your Salesforce InstanceOver time, identify opportunities to further customize and optimize Salesforce to meet your evolving needs. Regularly review workflows, automations, and reporting to fully utilize Salesforce’s advanced features. Who Should You Work With A successful migration from Zoho to Salesforce involves key stakeholders from various departments to ensure the new CRM setup aligns with company processes. Typical Migration Timelines The duration of a Zoho to Salesforce migration typically depends on your data’s complexity and the required customizations. For smaller businesses with straightforward CRM setups, the process may take 4 to 6 weeks, encompassing planning, data mapping, testing, and training. However, larger organizations with extensive custom fields, workflows, and third-party integrations may require 3 to 6 months. Allow ample time for thorough testing and validation to ensure data accuracy and system functionality before going live. User training and post-migration follow-up are also critical for a smooth transition. Conclusion Migrating from Zoho to Salesforce is a growth step in enhancing your company’s CRM capabilities and positioning it for future growth. By meticulously planning your migration, cleansing your data, and configuring Salesforce to meet your business requirements, you can facilitate a smooth transition and leverage Salesforce’s powerful features from day one. With the right preparation and support, your business will be well-equipped to scale, streamline operations, and achieve long-term success using Salesforce. If you need assistance with your migration, don’t hesitate to contact Tectonic for a quote. Content updated September 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented

June 3, 2023in Data, Mulesoft, Salesforce

15May

Salesforce Data Cloud Explained

Salesforce Data Cloud, previously recognized as Salesforce CDP/Genie, made its debut at Dreamforce 2022, hailed by Salesforce as one of the most significant innovations in the company’s history. A hyperscale data platform built into Salesforce. Activate all your customer data across Salesforce applications with Data Cloud. Data Cloud facilitates the intake and storage of real-time data streams on a massive scale, empowering automated tasks that result in highly personalized experiences. Data can be sourced from diverse Salesforce data outlets, including Mulesoft, Marketing Cloud, and others, along with customers’ proprietary applications and data sources. Subsequently, it can dynamically respond to this real-time data by automating actions across Salesforce CRM, Marketing Cloud, Commerce, and more, inclusive of automating actions through Salesforce Flow. What is the Salesforce data cloud? Data Cloud is the fastest growing organically built product in Salesforce’s history (i.e. Salesforce built it themselves, not via acquisitions). Data Cloud could be described as the ‘Holy Grail of CRM’, meaning that the data problem that’s existed since the infancy of CRM is now finally solvable. Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. However, Data Cloud is also a product that can be purchased. While not all Salesforce customers have licensed Data Cloud, being at the foundation means they are still taking advantage of Data Cloud to a degree – but this all becomes even stronger with Data Cloud as a personalization and data unification platform. What is the history of Data Cloud? Salesforce has gone through several iterations with naming its CDP product: Customer 360 Audiences → Salesforce CDP → Marketing Cloud Customer Data Platform → Salesforce Genie → Salesforce Data Cloud. In some instances, changes were made because the name just didn’t stick – but what’s more important to note, is that some of the name changes were to indicate the significant developments that happened to the product. Salesforce Data Cloud Differentiators Data Cloud, in itself, is impressive. While many organizations would consider it expensive, if you were to flip the argument on its head, by buying your own data warehouse, building the star schema, and paying for ongoing compute storage, you’d be looking to spend 5 to 10 times more than what Salesforce is charging for Data Cloud. Plus, data harmonization works best when your CRM data is front and center. There are other key differentiators that helps Data Cloud to stand out from the crowd: Is data cloud a data lakehouse? That means that Data Cloud is now not just a really good CDP, it’s now a data lake which will be used in sales and service use cases. But it also means that we can start to fundamentally move some of our higher-scale consumer products like Marketing and Commerce onto the platform. Is Snowflake a data Lakehouse? Snowflake offers customers the ability to ingest data to a managed repository, in what’s commonly referred to as a data warehouse architecture, but also gives customers the ability to read and write data in cloud object storage, functioning as a data lake query engine. What is the benefit of Salesforce data cloud? Data Cloud empowers Salesforce Sales Cloud with AI capabilities and automation that quickly closes deals and boosts productivity across every channel. It drives customer data from all the touchpoints and unifies it separately in individual customer profiles. Salesforce Data Cloud is a powerful data warehouse solution that allows companies to effectively manage and analyze their data. What is the difference between Salesforce CDP and data lake? Talking abut Salesforce CDP is a little bit like a history lesson. While a CDP provides a unified, structured view of customer data, a data lake, on the other hand, is more of a raw, unstructured storage repository that holds a vast amount of data (more than just customer data) in its native format until it’s needed. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 15, 2023in Data, Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Flow, Salesforce Implementation Services, Salesforce Sales Cloud, Snowflake, Technology

04May

What is Health Cloud?

Salesforce Health Cloud, a specialized platform designed for healthcare organizations, aims to streamline operations and provide personalized care. By leveraging cloud technology, mobile capabilities, and social integration, Health Care Cloud enhances productivity, reduces costs, and offers a comprehensive view of patient data. Salesforce keeps electronic personal health information (ephi) safe and secure. Since its inception, Salesforce Health Cloud has evolved significantly to meet the unique and challenging needs of the healthcare sector. The introduction of Customer 360 for Health marks a milestone in fostering empathetic care and promoting collaboration among healthcare teams. What is Salesforce Health Cloud? At its core, Health Cloud facilitates seamless collaboration among healthcare teams to ensure optimal patient care. With robust security measures in place, patient data remains secure and accessible only to authorized personnel. Salesforce Health provides care teams with convenient access to both clinical and non-clinical patient information, including health conditions, medications, appointment history, communication preferences, and data from Electronic Health Records (EHRs). Categorized under Salesforce Industry Clouds, Health Cloud combines CRM capabilities with specialized features tailored for healthcare providers, payers, medical device companies, and pharmaceutical manufacturers. Its goal is to deliver personalized, connected care across the entire, sometimes disjointed healthcare ecosystem. Why Use Salesforce Health Cloud? Salesforce Health offers benefits to various stakeholders within the healthcare industry, including providers, payers, manufacturers, and research organizations. In a challenging healthcare landscape, Health Cloud addresses concerns such as managing complex patient data and enhancing patient experiences effectively. Success stories from organizations like New England Biolabs and John Muir Health highlight the impact of Health Salesforce in streamlining operations, improving customer satisfaction, and enhancing care coordination. Despite its transformative potential, widespread adoption and success require rebuilding patient trust, delivering empathetic care, and prioritizing data security. Tools like Health Cloud play a crucial role in achieving these goals. The Health Cloud Data Model Central to Salesforce Health is the flexible Health Cloud Data Model, built atop the Salesforce Platform. This model organizes diverse healthcare data sources, leveraging standard objects like Accounts and Contacts alongside custom objects tailored for healthcare applications. The data model revolves around organizing data around the patient, providing care teams with a holistic view for informed decision-making and personalized care. It supports interoperability and adheres to healthcare data standards like HL7 and FHIR, enabling seamless integration with EHRs and other healthcare applications. Key Features of Salesforce Health Salesforce Health Cloud offers a suite of robust features, including: Patient 360: Provides a unified view of the patient, consolidating demographics, clinical data, and interactions for informed decision-making and personalized care. Care Plans: Enables care teams to create, track, and manage personalized care plans, incorporating goals, tasks, and milestones to monitor patient progress. Care Coordination: Facilitates collaboration among care teams, supporting secure messaging and information sharing across providers. Health Timeline: Offers an interactive visualization of a patient’s medical history, including encounters, lab results, and medications, aiding in understanding and decision-making. Einstein Analytics for Healthcare: Utilizes AI to deliver advanced insights and predictions, empowering organizations to enhance patient outcomes and operational efficiency. Patient 360 for Health In addition to existing features, Salesforce introduces new innovations under Patient 360 for Health, powered by AI. These updates include: Advanced Therapy Management: Streamlines treatment processes for pharmaceutical companies, offering full visibility into patient treatment. Salesforce Genie for Healthcare: Integrates real-time clinical and non-clinical data to create comprehensive patient profiles. AI-Supported Health Timeline: Enhances navigation and accessibility of patient records and journeys through AI. Home Health: Automates intake and scheduling for in-home treatment, optimizing patient preferences. Data Cloud for Healthcare: Connects clinical and non-clinical patient data from multiple sources into a real-time patient profile. MuleSoft Direct for Health Cloud: Provides out-of-the-box connectors to access EHR data, facilitating smoother integration. Tableau Accelerators for Health Cloud: Offers ready-to-use dashboards for various use cases, empowering teams with data-driven insights. Integration With MuleSoft Salesforce Health seamlessly integrates with MuleSoft, enabling organizations to connect with existing EHRs, billing systems, and healthcare applications. MuleSoft’s Anypoint Platform provides pre-built connectors and APIs to simplify integration and unlock the full potential of healthcare data. Salesforce Health Cloud is not only a powerful platform for healthcare organizations but also a catalyst for positive change in patient care and operational efficiency. By leveraging HC’s capabilities, healthcare organizations can deliver exceptional patient experiences, streamline processes, and ensure data security and compliance. With continuous integration and innovation within the Salesforce ecosystem, Health Cloud remains positioned to drive transformative change in the healthcare industry, addressing challenges and paving the way for a brighter future in healthcare. Considering Salesforce Health Cloud for your practice? Contact Tectonic today. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 4, 2023in Data, Mulesoft, Salesforce, Salesforce Health Cloud, Technology

07Apr

AI Drives Insights

Innovations from Salesforce, HubSpot, and One AI are driving deeper insights and streamlining processes. Key Takeaways: AI is transforming the way businesses operate, and customer relationship management (CRM) is no exception. AI has been influencing the CRM space for years, but its impact is now reaching new heights. By harnessing AI algorithms, modern CRM systems offer predictive analytics and deeper insights, enabling brands to understand their customers on an unprecedented level. Advanced AI-enabled CRMs even incorporate sentiment analysis to gauge customer perceptions and provide automation tools to free marketers from mundane tasks. The global AI market, currently valued at 2.3 billion, continues to expand rapidly. From 2020 to 2022, annual corporate investments in AI startups increased by $5 billion, reflecting the growing demand for AI-driven innovations. As CRM vendors introduce more AI capabilities, it’s important to understand the unique approaches each one takes to differentiate themselves and deliver specific benefits. Salesforce and Einstein GPT: A New Era with OpenAI’s ChatGPT On March 7, 2023, Salesforce introduced Einstein GPT, a generative AI technology integrated into its CRM platform. Combining real-time data from Salesforce’s Data Cloud with OpenAI’s ChatGPT, Einstein GPT allows users to input natural-language prompts to streamline tasks and decision-making. Salesforce has long invested in AI. In 2017, it launched its Einstein AI as part of Service Cloud. By 2019, Salesforce had partnered with OpenAI to explore AI research and integrate advanced models into its ecosystem. The acquisition of Slack in 2020 further strengthened its AI capabilities by incorporating advanced messaging and communication tools into the CRM environment. Marc Benioff, CEO of Salesforce, highlighted the significance of AI’s growth: “The world is experiencing one of the most profound technological shifts with real-time technologies and generative AI. This comes at a pivotal moment as every company is focused on connecting with their customers in more intelligent, automated, and personalized ways.” Einstein GPT is set to transform customer engagement, with applications across Salesforce’s various platforms, including Tableau, MuleSoft, and Slack. HubSpot CRM: AI-Powered Content Assistant A day before Salesforce’s AI announcement, HubSpot revealed its own AI-powered features: the Content Assistant and ChatSpot.ai. These tools aim to enhance CRM users’ productivity while creating stronger connections with customers. HubSpot’s Content Assistant helps marketing and sales teams ideate, create, and share content through generative AI capabilities. It can suggest blog titles, create content outlines, and assist with crafting content for blogs, emails, landing pages, and websites. ChatSpot.ai, on the other hand, offers a natural-language chat experience to simplify CRM tasks for HubSpot users. HubSpot has also invested in AI for other functions, including conversation intelligence, data enrichment, predictive analytics, and content optimization, solidifying its position in the AI-driven CRM landscape. With AI advancements from companies like Salesforce, HubSpot, and One AI, the future of CRM is poised for enhanced efficiency, automation, and personalized customer interactions. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 7, 2023in Generative AI, Mulesoft, Salesforce

03Mar

MuleSoft Robotic Process Automation

MuleSoft Robotic Process Automation (RPA) MuleSoft Robotic Process Automation (RPA) empowers organizations to automate business processes and tasks using bots, streamlining operations and minimizing human errors. Fully integrated with Salesforce Clouds, MuleSoft RPA enables admins, business teams, and developers to leverage robotic process automation technology, facilitating end-to-end workflow automation. Key Features and Capabilities Benefits of MuleSoft RPA Common Use Cases MuleSoft RPA Development Lifecycle Comprehensive Applications for Managing the Development Lifecycle Installation and Comparison Enhanced Efficiency and Productivity By automating data extraction and entry, reducing errors, and improving productivity, MuleSoft RPA significantly enhances operational efficiency. This allows human operators to focus on more complex and strategic tasks, driving overall organizational success. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 3, 2023in Mulesoft

04Feb

Explore Salesforce Experience Cloud

Empowering Businesses with Exceptional Salesforce Cloud Solutions Explore the transformative work we have done for our clients with Salesforce Experience Cloud, showcasing some of the exceptional solutions we have implemented. Through our strategic initiatives, we have enabled organizations across various industries to leverage the full potential of Salesforce Clouds to enhance user engagement, streamline operations, and achieve significant business growth. Our success stories reflect the diverse challenges our clients faced and the optimized solutions we provided to address them. For instance, by revamping an recruiting portal for a prominent American government agency, we reduced issues related to recruting, onboarding, and retaining talent. Tectonic’s approach incorporates the latest Salesforce technologies, such as Lightning Web Components, Service Cloud, and Experience Cloud, to deliver high-performing, scalable solutions. From improving partner portals for better partner support to transforming community portals for enhanced user experience, our solutions are designed to meet specific client needs while ensuring long-term adaptability and success. Manufacturing – Experience Cloud Case Study Public Sector – Experience Cloud and Grants Management Case Study Manufacturing – Sales, Service, Marketing, and Partner Community Case Study Manufacturing – Sales, Service, Marketing and Experience Cloud Case Study Branded Solutions Manufacturing – Sales, Service, and Experience Cloud Case Study Nonprofit Hospitality – Service and Experience Cloud Case Study Tribal Government – Health, Marketing, MuleSoft, and Experience Cloud Case Study Restaurant – Sales, Service, and Experience Cloud Case Study Federal Government – Nonprofit Talent Acquisition Experience Cloud Case Study Higher Education Software – Sales, Service and Experience Cloud Case Study Salesforce Partner Portals Built on Salesforce Experience Cloud Explore all Tectonic Salesforce Implementation Solutions Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

February 4, 2023in Mulesoft, Salesforce Experience Cloud

08Nov

ChatGPT and Einstein GPT

Artificial intelligence (AI) has been rapidly advancing globally, with breakthroughs captivating professionals across various sectors. One milestone that has gained significant attention is the emergence of ChatGPT, a cutting-edge language model revolutionizing the tech landscape. This development has profoundly impacted businesses relying on Salesforce for their customer relationship management (CRM) needs. In March 2023, Salesforce unveiled its latest AI innovation, Einstein GPT, promising to transform how companies engage with their clientele. In this article, we explore what Salesforce Einstein GPT entails and how it can benefit teams across diverse industries. When OpenAI introduced ChatGPT in November 2022, they didn’t expect the overwhelming response it received. Initially positioned as a “research preview,” this AI chatbot aimed to refine existing technology while soliciting feedback from users. However, ChatGPT quickly became a viral sensation, surpassing OpenAI’s expectations and prompting them to adapt to its newfound popularity. Developed on the foundation of the GPT-3.5 language model, ChatGPT was specifically tailored to facilitate engaging and accessible conversations, distinguishing it from its predecessors. Its launch attracted a diverse user base keen to explore its capabilities, prompting OpenAI to prioritize addressing potential misuse and enhancing its safety features. As ChatGPT gained traction, it caught the attention of Salesforce, a leading CRM provider. In March 2023, Salesforce unveiled Einstein GPT, its own AI innovation, poised to transform customer engagement. Built on the GPT-3 architecture and seamlessly integrated into Salesforce Clouds, Einstein GPT promised to revolutionize how businesses interact with their clientele. Einstein GPT boasts a range of features designed to personalize customer experiences and streamline workflows. From generating natural language responses to crafting personalized content and automating tasks, Einstein GPT offers versatility and value across industries. By leveraging both Einstein AI and GPT technology, businesses can unlock unprecedented efficiency and deliver superior customer experiences. Despite its success, OpenAI acknowledges the need for ongoing refinement and vigilance, emphasizing the importance of responsible deployment and transparency in the development of AI technology. Exploring Einstein GPT Salesforce presents Einstein GPT as the premier generative AI tool for CRM worldwide. Utilizing the advanced GPT-3 architecture, Einstein GPT seamlessly integrates into all Salesforce Clouds, including Tableau, MuleSoft, and Slack. This groundbreaking technology empowers users to generate natural language responses to customer inquiries, craft personalized content, and compose entire email messages on behalf of sales personnel. With its high degree of customization, Einstein GPT can be finely tuned to meet the specific needs of various industries, use cases, and customer requirements, delivering significant value to businesses of all sizes and sectors. Objectives of Salesforce AI Einstein GPT Salesforce AI Einstein GPT is designed to achieve several key objectives: Distinguishing Einstein GPT from Einstein AI Einstein GPT represents the latest evolution of Salesforce’s Einstein artificial intelligence technology. Unlike its predecessors, Einstein GPT integrates proprietary Einstein AI models with ChatGPT and other leading large language models. This integration enables users to interact with CRM data using natural language prompts, resulting in highly personalized, AI-generated content and triggering powerful automations that enhance workflows and productivity. By leveraging both Einstein AI and GPT technology, businesses can achieve unparalleled efficiency and deliver exceptional customer experiences. Features of Einstein GPT in Salesforce CRM Key features and capabilities of Salesforce Einstein chatbot GPT include: Utilizing Einstein GPT for Business Improvement Einstein GPT can be leveraged across various domains to enhance business operations: Integration with Salesforce Data Cloud Salesforce Data Cloud, a cloud-based data management system, enables real-time data aggregation from diverse sources. Einstein GPT utilizes unified customer data profiles from the Salesforce Data Cloud to personalize interactions throughout the customer journey. OpenAI on ChatGPT Methods We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format. To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process. ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure. Limitations ChatGPT and Einstein GPT Salesforce Einstein GPT signifies a significant advancement in AI technology, empowering businesses to deliver tailored customer experiences and streamline operations. With its integration into Salesforce CRM and other platforms, Einstein GPT offers unprecedented capabilities for personalized engagement and automated insights, ensuring organizations remain competitive in today’s dynamic market landscape. When OpenAI quietly launched ChatGPT in late November 2022, the San Francisco-based AI company didn’t anticipate the viral sensation it would become. Initially viewed as a “research preview,” it was meant to showcase a refined version of existing technology while gathering feedback from the public to address its flaws. However, the overwhelming success of ChatGPT caught OpenAI off guard, leading to a scramble to capitalize on its newfound popularity. ChatGPT, based on the GPT-3.5 language model, was fine-tuned to be more conversational and accessible, setting it apart from previous iterations. Its release marked a significant milestone, attracting millions of users eager to test its capabilities. OpenAI quickly realized the need to address potential misuse and improve the model’s safety features. Since its launch, ChatGPT has undergone several updates, including the implementation of adversarial training to prevent users from exploiting it (known as “jailbreaking”). This technique involves pitting multiple chatbots against each other to identify and neutralize malicious behavior. Additionally,

November 8, 2022in Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein

19Oct

Salesforce Genie Announced

Salesforce Genie announced this year is an innovative data platform recently unveiled at Dreamforce 2022, heralding the world’s first real-time CRM. Genie is the driving force behind Salesforce’s entire Customer 360 platform, delivering hyper-scale, real-time data capabilities. With Genie, any business can harness the power of data to create magical customer experiences, offering seamless, personalized interactions across sales, service, marketing, and commerce. It adapts effortlessly to evolving customer needs. Consider scenarios we encounter daily: the frustration of lengthy customer support calls navigating purchase history, or the challenge of locating specific items on cluttered e-commerce websites. These situations underscore the demand for real-time updates in every customer interaction, a demand that Genie aims to fulfill. In the last 12 hours alone, the volume of stored customer data worldwide has doubled, explaining the delays in customer support. However, with Salesforce Genie, businesses can make sense of their data regardless of source, system, or channel. This unified data drives unprecedented levels of personalization, akin to magic. Salesforce Genie’s Key Features: Genie is pivotal for various industries leveraging Salesforce, like banks managing vast customer records and administrative tasks. Salesforce aims to enhance data utilization without altering existing approaches. Comparison with Salesforce CDP: Genie transcends traditional Customer Data Platforms (CDPs) by: How Genie Works: Genie ingests and stores real-time data streams at scale, integrating them seamlessly with Salesforce data. It consolidates data from diverse channels, legacy systems via MuleSoft, and proprietary data lakes through connectors. Core Pillars of Salesforce Genie: Salesforce Genie’s Extensibility: Genie partners with leading data providers such as Snowflake and Amazon SageMaker, enabling seamless integration and real-time data sharing without data movement. Unified Customer 360 Use Cases: Genie unifies data across Salesforce’s Customer 360 products for various departments: In essence, Salesforce Genie revolutionizes data integration and utilization, enabling businesses to deliver unparalleled customer experiences across all touchpoints. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 19, 2022in Hyperforce, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Salesforce Optimization, Salesforce Sales Cloud, Salesforce Slack, Snowflake

18Oct

What Does Salesforce Data Cloud Do?

Salesforce Data Cloud, formerly known as Salesforce CDP, has rapidly become Salesforce’s fastest-growing, organically-developed product. To understand the vision for Data Cloud, it’s essential to understand the foundational capabilities of CDPs. Salesforce CDP, now part of Data Cloud, has been delivering the following: Customer Disparate Data Consider the typical customer, leaving a robust data trail encompassing engagement data (interactions with marketing journeys, ads, mobile apps) and insight data derived from engagement (won revenue, purchase intent, privacy management). Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. Data Cloud uses all this data normalized for understanding to power your Salesforce ecosystem. Use Data Cloud to create personalized, real-time experiences across Salesforce and beyond. Connect your data sources and define their relationship in Data Cloud. Learn the benefits of using data spaces in Data Cloud. A data space is a logical partition to organize your data for profile unification, insights, and marketing data. A data cloud gives you an infrastructure for efficient data management across multiple systems at any scale. You can ensure data is available to anyone who needs it without compromising data integrity or security. By providing a 360-degree view of the customer lifecycle, Salesforce Data Cloud enables businesses to understand their customers like never before. This comprehensive view is the key to unlocking personalized experiences that resonate with customers on a deeper level, fostering loyalty and driving business growth. Data Cloud shares the purpose and benefits that CDPs deliver – but goes beyond the traditional definition of CDP: Beyond marketing use cases: CDPs are typically targeted at marketers. Data Cloud unifies data for use across all Customer 360 products, and therefore, the myriad of use cases every department will have. Like1 Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

October 18, 2022in Mulesoft, Salesforce Managed Services

17Oct

Announcing MuleSoft Direct for Salesforce Industry Clouds

MuleSoft provides the easy-to-use tools you need to automate your way to higher productivity and lower costs. Announcing MuleSoft Direct for Salesforce Industry Clouds! Salesforce and MuleSoft have introduced a groundbreaking connectivity solution, MuleSoft Direct for Industry Clouds, designed to expedite project delivery and foster innovation within specific industries. This solution empowers both business and IT professionals to swiftly implement industry-standard integration use cases, enhancing critical business operations. The initial rollout of MuleSoft is now accessible for Salesforce Communications Cloud and Energy & Utilities Cloud. Key Significance: In the post-pandemic landscape, the demand for quicker and more efficient project delivery is paramount. Industries face increased pressure to adopt interoperability standards such as Fast Healthcare Interoperability Resources (FHIR), Banking Industry Architecture Network (BIAN), and TeleManagement Forum (TM Forum). MuleSoft Direct for Industry Clouds addresses these demands by delivering turnkey connectivity solutions tailored for specific industries, streamlining the integration of systems and data. Leverage pre-built solutions in industry standard for business critical operations to accelerate time to value. Innovation Highlights: With MuleSoft Direct, industry-leading connectivity is accelerated in the following ways: MuleSoft Direct for Salesforce Industry Clouds MuleSoft Direct simplifies connectivity by offering pre-built industry-specific use cases that cater to unique and complex business requirements. Use cases for Communications and Energy & Utilities include validating addresses and services during quoting and ordering, submitting new orders to order management systems, and streamlining billing processes. Future Steps: MuleSoft Direct solutions are set to expand to Health Cloud and Financial Services Cloud in the coming year, addressing integration needs related to Prior Authorization and fee reversals. There are plans to onboard additional industries in the future. Perspective from Salesforce and MuleSoft: “MuleSoft helps you automate any system and connect to any data, anywhere,” emphasizing the embedding of modern, industry-compliant connectivity and automation into industry clouds. Liam Doyle, SVP, Product Management, Mulesoft Jujhar Singh, EVP & GTM, Salesforce Industries, emphasized the significance of MuleSoft Direct in accelerating the implementation of industry cloud solutions, pre-building and packaging critical connectivity use cases to hasten customers’ time to value. Connectivity made easy for… Health Cloud Speed up Prior Authorization and power patient 360 initiatives with FHIR integrations directly in Health Cloud. Financial Services Cloud Modernize legacy systems to deliver digital-first experiences with BIAN integrations directly in Financial Services Cloud. Communications Cloud Streamline service and order operations with TM Forum integrations directly in Communications Cloud. Energy & Utilities Cloud Expedite key service processes with packaged billing and pricing integrations directly in Energy & Utilities Cloud. Consumer Goods Cloud Implement key initiatives like trade promotion management faster with pre-built integrations directly in Consumer Goods Cloud. Media Cloud Enhance key media & entertainment operations with pre-built integrations directly in Media Cloud. If you’re a beginner in data integration tools, this could be a reason why Mulesoft may not be right for you. It has a vast number of integrations and capabilities that can make it difficult for beginners to use. Contact Tectonic today for assistance. Content updated January 2024. Like1 Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more PII Explained Personal Identifiable Information (PII) is defined as: Any representation of information that permits the identity of an individual to whom Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

October 17, 2022in Mulesoft, Salesforce Automotive Cloud, Salesforce Communications Cloud, Salesforce Financial Services Solutions, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Manufacturing Automotive Energy

Mulesoft

Einstein 1 is Coming

Case Study: Largest Native American Tribe in the US-Citizen Engagement for Tribes-Salesforce Public Sector Solutions (PSS)/Health Cloud/Experience Cloud/Marketing Cloud and Mulesoft

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