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Salesforce Native Explained
16Jun

Salesforce Native Explained

What Does Salesforce-Native Mean? SFDC-native refers to products that are built entirely within the Salesforce platform. These products do not require integration through the Salesforce API, as they are inherently part of Salesforce and designed specifically for its environment. Aren’t Most Salesforce Products Built Native? No, most products that claim to be SFDC-native are not fully native. Many are partially built within Salesforce or use Salesforce reports, but they still operate or were developed outside the Salesforce platform. This can be misleading since a product is only truly native if it is entirely built and operates within Salesforce. How Can I Tell if a Product is 100% Native? To determine if a product is 100% native, you can start by checking the Salesforce AppExchange. Additionally, you should ask your provider these questions: If the product is hosted or its data is stored on an external server and not within Salesforce, then it is not a native product. Why Should I Consider a 100% Native Product? Enhanced Security Since a native product doesn’t need to integrate with Salesforce, there’s no need to export data to external servers, which can be vulnerable. Everything remains within Salesforce, adhering to its already robust security settings. Accuracy and Speed A 100% native product ensures real-time data accuracy, eliminating concerns about syncing issues. You can always trust that the data you’re working with is current. Trust Products built within Salesforce follow Salesforce’s best practices and security policies. This ensures that you can trust these products as much as you trust Salesforce. Additionally, since they run on the same server as Salesforce, your product’s uptime is aligned with Salesforce’s uptime. Simplified Tech Stack and Alignment A native solution is easier to manage because it doesn’t require additional user log-ins or new skills to learn. When users log into Salesforce, they automatically access the native product’s features, reducing training needs and improving adoption rates. This also promotes better team alignment by providing a single source of truth, enhancing communication. SFDC-native means that a product is built entirely within Salesforce, using its core technologies and development environment. Native products are written for the platform and don’t need to be integrated using the Salesforce API. When an app is native to Salesforce, that means that an app is dedicated and committed to Salesforce. Non-native apps are more versatile in that they can typically integrate with a variety of different CRMs, but when you use a native Salesforce app, you work with a Salesforce expert. What does platform native mean? Native applications and platforms However, in the context of mobile web apps, the term native app means any application written to work on a specific device platform. The two main mobile OS platforms are Apple’s iOS and Google’s Android. Developers write native apps in the code used for the device and its OS. Non-SFDC Applications means a Web-based, mobile, offline or other software application functionality that is provided by You or a third party and interoperates with a Service, including, for example, an application that is developed by or for You, is listed on a Marketplace, is identified as Salesforce Labs or by a similar designation, or is an open source software product including e.g. the technologies commonly referred to as Non Profit Starter Pack (“NPSP”) and Higher Education Data Architecture (“HEDA”) and that are subject to the terms stated during the installation process and/or located on the landing page during their use. 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 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

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June 16, 2024in Salesforce
Salesforce Essentials and Salesforce Professional
16Jun

Salesforce Essentials and Salesforce Professional

Salesforce offers two primary CRM solutions: Salesforce Essentials and Salesforce Professional, each tailored to different business needs. Salesforce Essentials: Salesforce Essentials is designed for small businesses, offering fundamental CRM tools at an affordable price. It’s ideal for teams of up to five members and provides a unified view of customer interactions across multiple channels, including email, chat, social media, and phone. This platform simplifies customer support with a consolidated help center for common inquiries. Priced at $25 per month, Essentials is budget-friendly and easy to set up, making it suitable for startups and small teams looking for a straightforward CRM solution. Salesforce Professional: On the other hand, Salesforce Professional targets larger businesses with more complex CRM requirements. It extends beyond basic CRM functionalities to include advanced features such as lead management, customizable sales processes, and comprehensive reporting capabilities. Key attributes of Professional include forecasting tools, Einstein Activity Capture for enhanced productivity insights, and a mobile app with full offline functionality. Priced at per user per month, Professional caters to businesses needing extensive customization options and deep data analysis capabilities to manage complex sales processes and customer relationships effectively. Comparison: Salesforce Essentials Salesforce Professional Price $25 per month $80 per user, per month User limit Up to 5 users Unlimited users Reporting and Dashboards Basic reporting capabilities Customizable reports and dashboards Mobile App Functionality Limited Full offline functionality Email Integration Basic email integration Advanced integration with Outlook and Gmail Customization Limited customization options Extensive customization options Customization The customization options in Essentials are limited, which is often sufficient for smaller businesses that don’t need complex customization. Extensive customization options in Professional allow larger businesses to tailor the CRM to their specific processes and needs, a critical feature for complex business structures. Salesforce Essentials is widely considered a beneficial instrument for small enterprises, providing essential features for customer relationship management, sales, and marketing automation. It is valued for its accessibility, user-friendly interface, and all-in-one platform. Strong choices for customer service are provided, and it connects effectively with other corporate tools and is expandable. The software has a learning curve for certain users, and you can’t access advanced functions unless you pay more. A reliable internet connection is necessary for the often intricate setting and customization. Concerns are also raised about reporting functionality and extra costs for premium services that exceed the basic subscription charge. Users of Salesforce Professional recognize the platform’s extensive features and ease of use. They also commend it for its ability to integrate with other platforms, like WhatsApp. Some people do, however, feel that the UI could be more contemporary and intuitive. There is disagreement over the frequency of updates and the unresponsiveness of various parts of the customer support. Users value the tool’s capacity to enhance workday routines, its intuitive design, and its simplicity in integrating with lead generation and sales channels. The cost is observed to be greater than that of comparable suppliers, and third parties are frequently needed for the implementation phase. Can Salesforce Essentials scale with my growing business? Salesforce Essentials is tailored for small businesses and startups and while it offers essential CRM tools, it has limitations in scalability due to its user cap and basic feature set. For businesses anticipating significant growth, transitioning to Salesforce Professional or another higher-tier Salesforce product might be necessary. Conclusion: Choosing between Salesforce Essentials and Salesforce Professional depends on the size of your business, your budget, and the complexity of your CRM needs. Essentials is suitable for small teams and startups looking for an affordable, easy-to-use CRM solution. In contrast, Professional is geared towards larger businesses that require advanced features, customization options, and robust reporting capabilities to manage complex sales operations effectively. 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 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

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June 16, 2024in Salesforce
Automated LinkedIn Prospecting
16Jun

Automated LinkedIn Prospecting

Salesflow, an award-winning LinkedIn outreach automation platform, announces native integrations with a range of popular CRM systems. London, United Kingdom – June 14, 2024 —Automated LinkedIn Prospecting The automated LinkedIn lead generation tool now offers seamless integration with HubSpot, Zapier, Salesforce, and PipeDrive, with further additions expected in the coming months. The firm states that it now takes less than five minutes for clients to begin using LinkedIn automation through their existing CRM platform, allowing them to continue using familiar tools and workflows. More details can be found at https://salesflow.io/automation-software-improve-pipeline/ Salesflow explains that the new CRM integrations have applications for sales teams, small companies, and LinkedIn-as-as-Service agencies. The firm’s award-winning software is designed to automate multiple stages in the LinkedIn lead generation process, allowing teams to focus their energies on the most attractive prospects. According to LinkedIn’s own statistics, over 80% of B2B marketers say that they achieve the greatest results when social selling through the platform, when compared to other social media networks. However, creating an outreach campaign that retains a personal element can be a time-consuming task, which can limit its usefulness for smaller organizations. Salesflow is designed to create highly automated LinkedIn campaigns, while still offering the ability to include unique keywords that make messages more personal. With the new CRM integrations, the firm has progressed the automation several steps further, with the goal of making the process as fast and efficient as possible. “Salesflow is a cloud-based automation tool using static IPs to ensure a secure prospecting outreach while running on autopilot,” a company representative explained. “You can also now set up integrations to get data from LinkedIn sent directly into your CRM system, and you can begin to see new leads filtering through almost immediately.” About Salesflow Peer-to-peer software review site G2 identified Salesflow as a “High Performer” in the lead generation automation category for the spring and summer of this year, and recently upgraded that rating to “Leader” for both the European and US markets. The system is now used by several major organizations, including HubSpot, Verizon, and Visyond. “Salesflow is awesome and is a must-have for B2B social selling,” one company director recently stated. “This brilliant platform saves us a huge amount of time and money on lead generation, it reduces stress, and gets us connected to relevant prospects across our target industries. Best of all, it does all of that really fast.” Interested parties can find more information by visiting https://salesflow.io/automation-software-improve-pipeline/ 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 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

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June 16, 2024in Salesforce
Salesforce Feeding Post-Pandemic AI-Powered Digital Transformation
16Jun

Salesforce Feeding Post-Pandemic AI-Powered Digital Transformation

The Digital Transformation Imperative: Salesforce’s AI Solutions The COVID-19 pandemic didn’t just accelerate digital transformation; it cemented it as an existential imperative for businesses across all industries. The sudden shift to remote work, digital customer engagement, and e-commerce highlighted the stark contrast between organizations that had prioritized digitization and those that hadn’t. In the post-pandemic era, digital agility has become synonymous with resilience and competitiveness. Salesforce Feeding Post-Pandemic AI-Powered Digital Transformation with unparalled innovation. However, the path to digital transformation remains challenging for many companies. Legacy systems, data silos, and manual processes continue to hinder adaptation and innovation at the pace demanded by today’s market and consumer. This has led to a certain weariness and skepticism around transformation initiatives, often perceived as an ever-receding target. Salesforce’s AI-Powered Integration Solutions Salesforce’s AI-powered integration solutions aim to revitalize the digital transformation journey. With tools like Einstein for Flow, Intelligent Document Processing (IDP), and Einstein for MuleSoft, Salesforce is embedding AI across its automation and integration portfolio to address some of the most difficult challenges in digitization. Anypoint Partner Manager: Harnessing AI for B2B Integration Salesforce’s latest MuleSoft offering, Anypoint Partner Manager, exemplifies this AI-centric approach. The cloud-native B2B integration solution leverages IDP to streamline partner onboarding and manage API and EDI-based transactions, addressing a key pain point for companies in complex supply chain ecosystems. “EDI has historically been that code-driven solution. You must really know the EDI spec,” noted Andrew Comstock, VP of Product Management at Salesforce. “Partner Manager actually brings the partner definition into a form, and you can just define that, save it, and you’re off and done. We can deploy all the applications that you need for you.” By using AI to extract and structure data from unstructured documents like invoices and purchase orders, Anypoint Partner Manager democratizes B2B integration, making it accessible to businesses beyond the traditional technology sector. The solution is now generally available. MuleSoft Accelerator for Salesforce Order Management: Bridging B2B and B2C Salesforce also introduced the MuleSoft Accelerator for Salesforce Order Management. This tool provides pre-built APIs, connectors, and templates to unify B2B and B2C orders from a centralized hub. By connecting Salesforce OMS with ERP systems in real-time, the accelerator enables end-to-end visibility across channels, a critical capability in today’s omnichannel environment. “For many companies, [order management] is super critical and vital,” emphasized Comstock. “The more that they can standardize and centralize that, the better visibility, controls, and governance they have.” The MuleSoft Accelerator for Salesforce OMS is now generally available. The AI Imperative in Digital Transformation Salesforce’s AI-powered integration solutions come at a time when businesses are grappling with the realities of the post-pandemic digital imperative. Automating complex B2B processes, unifying data flows across ecosystems, and extracting insights from unstructured data is no longer a luxury but a necessity for survival in the digital economy. Salesforce Feeding Post-Pandemic AI-Powered Digital Transformation “A lot of our successes are happening at companies that are not traditional technology companies. Using solutions like MuleSoft and Salesforce allows them to build those technologies better,” noted Comstock. In this context, AI is emerging as a key enabler of digital transformation at scale. By abstracting complexity and automating manual tasks, AI-powered integration tools like those from Salesforce are helping businesses overcome the hurdles that have long stymied digitization efforts. For companies still wrestling with the challenges of digital transformation, Salesforce’s AI-powered integration portfolio offers a glimmer of hope. By harnessing the power of large language models and other AI technologies to streamline integration and automation, Salesforce is providing a new path forward for organizations looking to thrive in the post-pandemic digital landscape. Salesforce Feeding Post-Pandemic AI-Powered Digital Transformation with Einstein, Mulesoft, Flow, and more. 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 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

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June 16, 2024in Salesforce, Salesforce Einstein
The AI Tech Stack
15Jun

The AI Tech Stack

The AI tech stack integrates various tools, libraries, and solutions to enable applications with generative AI capabilities, such as image and text generation. Key components of the AI stack include programming languages, model providers, large language model (LLM) frameworks, vector databases, operational databases, monitoring and evaluation tools, and deployment solutions. The infrastructure of the AI tech stack leverages both parametric knowledge from foundational models and non-parametric knowledge from information sources (PDFs, databases, search engines) to perform generative AI functions like text and image generation, text summarization, and LLM-powered chat interfaces. This insight explores each component of the AI tech stack, aiming to provide a comprehensive understanding of the current state of generative AI applications, including the tools and technologies used to develop them. For those with a technical background, this Tectonic insight includes familiar tools and introduces new players within the AI ecosystem. For those without a technical background, the article serves as a guide to understanding the AI stack, emphasizing its importance across business roles and departments. Content Overview: The AI layer is a vital part of the modern application tech stack, integrating across various layers to enhance software applications. This layer brings intelligence to the stack through capabilities such as data visualization, generative AI (image and text generation), predictive analysis (behavior and trends), and process automation and optimization. In the backend layer, responsible for orchestrating user requests, the AI layer introduces techniques like semantic routing, which allocates user requests based on the meaning and intent of the tasks, leveraging LLMs. As the AI layer becomes more effective, it also reduces the roles and responsibilities of the application and data layers, potentially blurring the boundaries between them. Nevertheless, the AI stack is becoming a cornerstone of software development. Components of the AI Stack in the Generative AI Landscape: The emphasis on model providers over specific models highlights the importance of a provider’s ability to update models, offer support, and engage with the community, making switching models as simple as changing a name in the code. Programming Languages Programming languages are crucial in shaping the AI stack, influencing the selection of other components and ultimately determining the development of AI applications. The choice of a programming language is especially important for modern AI applications, where security, latency, and maintainability are critical factors. Among the options for AI application development, Python, JavaScript, and TypeScript (a superset of JavaScript) are the primary choices. Python holds a significant market share among data scientists, machine learning, and AI engineers, largely due to its extensive library support, including TensorFlow, PyTorch, and Scikit-learn. Python’s readable syntax and flexibility, accommodating both simple scripts and full applications with an object-oriented approach, contribute to its popularity. According to the February 2024 update on the PYPL (PopularitY of Programming Language) Index, Python leads with a 28.11% share, reflecting a growth trend of +0.6% over the previous year. The PYPL Index tracks the popularity of programming languages based on the frequency of tutorial searches on Google, indicating broader usage and interest. JavaScript, with an 8.57% share in the PYPL Index, has traditionally dominated web application development and is now increasingly used in the AI domain. This is facilitated by libraries and frameworks that integrate AI functionalities into web environments, enabling web developers to leverage AI infrastructure directly. Notable AI frameworks like LlamaIndex and LangChain offer implementations in both Python and JavaScript/TypeScript. The GitHub 2023 State of Open Source report highlights JavaScript’s dominance among developers, with Python showing a 22.5% year-over-year increase in usage on the platform. This growth reflects Python’s versatility in applications ranging from web development to data-driven systems and machine learning. The programming language component of the AI stack is more established and predictable compared to other components, with Python and JavaScript/TypeScript solidifying their positions among software engineers, web developers, data scientists, and AI engineers. Model Providers Model providers are a pivotal component of the AI stack, offering access to powerful large language models (LLMs) and other AI models. These providers, ranging from small organizations to large corporations, make available various types of models, including embedding models, fine-tuned models, and foundational models, for integration into generative AI applications. The AI landscape features a wide array of models that support capabilities like predictive analytics, image generation, and text completion. These models can be broadly classified into closed-source and open-source categories. Closed-Source Models have privatized internal configurations, architectures, and algorithms, which are not shared with the model consumers. Key information about the training processes and data is withheld, limiting the extent to which users can modify the model’s behavior. Access to these models is typically provided through an API or a web interface. Examples of closed-source models include: Open-Source Models offer a different approach, with varying levels of openness regarding their internal architecture, training data, weights, and parameters. These models foster collaboration and transparency in the AI community. The levels of open-source models include: Open-source models democratize access to advanced AI technology, reducing the entry barriers for developers to experiment with niche use cases. Examples of open-source models include: Open-Source vs. Closed-Source Large Language Models (LLMs) AI engineers and machine learning practitioners often face the critical decision of whether to use open- or closed-source LLMs in their AI stacks. This choice significantly impacts the development process, scalability, ethical considerations, and the application’s utility and commercial flexibility. Key Considerations for Selecting LLMs and Their Providers Resource Availability The decision between open- and closed-source models often hinges on the availability of compute resources and team expertise. Closed-source model providers simplify the development, training, and management of LLMs, albeit at the cost of potentially using consumer data for training or relinquishing control of private data access. Utilizing closed-source models allows teams to focus on other aspects of the stack, such as user interface design and data integrity. In contrast, open-source models offer more control and privacy but require significant resources to fine-tune, maintain, and deploy. Project Requirements The scale and technical requirements of a project are crucial in deciding whether to use open-

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June 15, 2024in Generative AI
HCG Providing Patient-Focused Personalized Care With Salesforce
15Jun

HCG Providing Patient-Focused Personalized Care With Salesforce

HCG Delivers Personalized Patient Care with Salesforce Read more at: CXO Today HCG Providing Patient-Focused Personalized Care With Salesforce Healthcare Global Enterprises Ltd (HCG), a renowned network of 25 hospitals, is elevating patient care through Salesforce. With a 360-degree patient view, HCG connects with patients on a more personal level, delivering proactive support at every step of their journey. HCG’s commitment to value-based, precision medicine is clear, attracting over 200,000 patients annually. Unified Patient View for Personalized Care Previously, HCG faced challenges with siloed patient information and a rudimentary CRM system. “Without a single source of truth on patients, it was difficult for our medical, surgical, and support teams to collaborate,” says Vineesh Ghei, Chief Sales Officer, HCG. Today, Salesforce provides a unified patient view, capturing every case history, treatment plan, and patient preference, enabling teams to personalize patient care effectively. Enhanced Efficiency with Automation Salesforce Sales Cloud captures initial patient interactions, streamlining responses and tracking conversations. “Our response time to patient enquiries has reduced from 45 minutes to 23 minutes,” notes Ghei. Sales productivity has also improved with automated task prioritization and activity tracking. Additionally, partner management processes have been automated, enhancing engagement. Swift Service Query Resolution Patient journeys are orchestrated on Salesforce Service Cloud, integrating outpatient consultations, inpatient processes, and discharge planning. Integration with HCG’s appointment booking and cloud telephony systems ensures patient details are readily available to agents, enabling resolution of over 90% of queries in under five minutes. This comprehensive view allows service agents to provide proactive, personalized support. Contextual Communications for Long-Term Wellness Using Salesforce Marketing Cloud Engagement, HCG segments patients and delivers personalized communications relevant to their treatment stages. “Every patient’s journey is deeply personal,” says Stuti Jain, Head of Brand, Digital, and Communications, HCG. “Our communications are prioritized to add value to their journey.” HCG maintains connection with patients post-visit, supporting them through recovery. Data-Driven Decision Making By integrating data from Health Information Systems, Electronic Medical Records, and other platforms, HCG leverages operational intelligence to enhance decision-making. Insights from dashboards and reports improve patient satisfaction and care quality. Marketing Cloud Intelligence helps optimize campaigns, engagement channels, and team performance. Expanding Digital Transformation HCG plans to unlock additional Salesforce features, such as AI-driven call center operations with Einstein. Further integrations with lab and radiology systems and patient care apps will expand the Patient 360 view. “Our goal is to become an oncology knowledge company, up-to-date on treatment protocols and patient needs,” says Dey. Jain adds, “When people think of cancer care, they should think of HCG.” HCG’s integration of Salesforce is setting a new standard in personalized cancer care, ensuring patients receive the best possible support and treatment throughout their journey. 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 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

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June 15, 2024in Salesforce Health and Life Sciences Solutions, Salesforce Implementation Services, Salesforce Marketing Cloud, Salesforce Sales Cloud, Salesforce Service Cloud
Salesforce Spiff
14Jun

Salesforce Spiff

Incentive Compensation Management Boost seller motivation and performance with incentive compensation management software that offers real-time commission visibility. Salesforce Spiff. Automate commission calculations, reduce administrative tasks, and improve departmental alignment with compensation plans geared for revenue growth. Automate Commissions and Motivate Sellers Enhance collaboration across departments and align go-to-market priorities with effective incentive compensation management. Customized Rep Statements Empower sellers by providing commission statements, tracking progress against goals, and estimating potential earnings. Use commission tracing functionality to eliminate confusion and align organizational priorities with seller motivations. In-App Comments and Notifications Manage questions, comments, and disputes efficiently within a single platform. Promote cross-organizational collaboration through real-time comments and notifications. Commission Estimator Allow sellers to predict future earnings by providing data-driven insights into incentive estimates early in the sales process. This helps sellers and managers focus on high-impact deals. Flexible Setup Quickly set up incentive compensation plans, adapting to changes in team structure or compensation complexity. Track all plan adjustments with an audit log. Powerful Automation and Workflows Automate complex commission structures, including accelerators, tiers, and triggers. Calculate thousands of statements in seconds to ensure accuracy and efficiency. Seamless Integrations Integrate CRM, ERP, HCM, payroll, or other systems to create a real-time, single source of truth for all commission needs. Data Accuracy Use machine learning to automatically match records, eliminating manual errors and providing a reliable single source of truth. Deep Audit Trail Add effective dates to any user, plan, or logic, and lock historical statements to maintain accuracy. Manage one-off changes without concern. Automated Expense Reporting Maintain compliance under ASC 606 and IFRS 15 with automated, audit-ready expense reports. Use an intuitive interface to manage exceptions, fringe benefits, and varied commission types. Salesforce and Spiff: A Strategic Acquisition After pausing mergers and acquisitions over the past year, Salesforce acquired Spiff at the end of 2023. Previously an AppExchange partner, Spiff provided robust incentive compensation management functionality, calculating commissions for sales based on closed-won deals. Integration into Sales Cloud Salesforce has integrated “Salesforce Spiff” into Sales Cloud, emphasizing the importance of Incentive Compensation Management (ICM) for high-performing companies. With 90% of top-performing companies using incentive programs, this acquisition enhances Salesforce’s offerings. Growth and Market Presence Before the acquisition, Spiff had 1,000 customers and was growing at 100% year-over-year. Salesforce’s market share of approximately 23% in the Sales CRM market indicates significant growth potential for ICM. The Importance of ICM ICM software addresses the complexity of commission calculations, including various percentages for new sales, renewals, bonuses for new customers, accelerators, and team incentives. Accurate calculations across large sales teams are crucial for maintaining motivation and performance. This is a huge time saver. From Excel to Cloud Technology While Excel spreadsheets have been a traditional solution for ICM, Spiff’s cloud technology offers greater functionality and user-friendliness. And it interfaces directly with Sales Cloud. How Salesforce Spiff Works Available as an add-on for Sales Cloud customers from May 2024, Salesforce Spiff offers: Enhanced User Experience The low-code builder simplifies the creation of commission plans, saving time compared to Excel. Real-time commission visibility allows sales users to see potential earnings, motivating them to pursue lucrative opportunities. Final Thoughts Sales roles are essential for driving business revenue. Tools like Spiff provide transparency into potential earnings, significantly impacting sales teams’ motivation and performance. Integrating Spiff into Sales Cloud enhances Salesforce’s value proposition, helping businesses optimize their sales processes and achieve better results. Availability Salesforce Spiff will be available as an add-on for Sales Cloud customers in May 2024. Non-Salesforce customers can also purchase the product from Salesforce.com/salesforcespiff starting May 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 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

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June 14, 2024in Salesforce
Databricks LakeFlow
13Jun

Databricks LakeFlow

Databricks Introduces LakeFlow: Simplifying Data Engineering Databricks, the Data and AI company, yesterday announced the launch of Databricks LakeFlow, a new solution designed to unify and simplify all aspects of data engineering, from data ingestion to transformation and orchestration. LakeFlow enables data teams to efficiently ingest data at scale from databases like MySQL, Postgres, and Oracle, as well as enterprise applications such as Salesforce, Dynamics, SharePoint, Workday, NetSuite, and Google Analytics. Additionally, Databricks is introducing Real Time Mode for Apache Spark, allowing ultra-low latency stream processing. Simplified Data Engineering with LakeFlow LakeFlow automates the deployment, operation, and monitoring of data pipelines at scale, with built-in support for CI/CD and advanced workflows that include triggering, branching, and conditional execution. It integrates data quality checks and health monitoring with alerting systems such as PagerDuty, simplifying the process of building and operating production-grade data pipelines. This efficiency enables data teams to meet the growing demand for reliable data and AI. Tackling Data Pipeline Challenges Data engineering is crucial for democratizing data and AI within businesses but remains complex and challenging. Data teams often struggle with ingesting data from siloed, proprietary systems, and managing intricate logic for data preparation. Failures and latency spikes can disrupt operations and disappoint customers. The deployment of pipelines and monitoring of data quality typically involve disparate tools, complicating the process further. Fragmented solutions lead to low data quality, reliability issues, high costs, and increasing backlogs. LakeFlow addresses these challenges by providing a unified experience on the Databricks Data Intelligence Platform, with deep integrations with Unity Catalog for end-to-end governance and serverless compute for efficient and scalable execution. Key Features of LakeFlow Availability LakeFlow represents the future of unified and intelligent data engineering. The preview phase will begin soon, starting with LakeFlow Connect. 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 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

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June 13, 2024in Google Analytics, Salesforce Einstein
Salesforce Summer 24 OmniStudio Release
13Jun

Salesforce Summer 24 OmniStudio Release

OmniStudio In Summer ’24, OmniStudio (when the Managed Package Runtime setting is disabled) supports features from OmniStudio for Vlocity, including filling address fields in omniscripts with Google Map data, using Salesforce private connect for HTTP actions in integration procedures, and choosing whether to merge entries within a list in an integration procedure list action. Salesforce Summer 24 OmniStudio Release. Also, DataRaptor is now Omnistudio Data Mapper. For Winter ’25 upgrades, disable New Order Save Behavior. To prepare for future releases, remove organization and profile standard objects from data mappers, remove OmniStudio components with unlocked packages, and check the impact of the date change in the ADDDAY function return. Salesforce Summer 24 OmniStudio Release 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 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

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June 13, 2024in Salesforce
Connect your Marketing Cloud Account to GA4
13Jun

Connect your Marketing Cloud Account to GA4 by June 30, 2024

Starting on June 30, 2024, Google will no longer support its Google Universal Analytics (UA) service. As a result, after this date, Marketing Cloud Google Audiences and Journey Analytics are available only via Google Analytics 4 (GA4). Connect your Marketing Cloud Account to GA4. What you need to do If you haven’t yet migrated to GA4, complete the migration process by June 30, 2024 to maintain functionality. To learn more about the migration process and benefits of migrating to GA4, review Update to Google Analytics 4 Before July 1. If you’ve already migrated your Google Analytics account from UA to GA4, you can access the GA4 solutions available within Marketing Cloud Engagement today. By June 30, complete the following steps to ensure that your org’s journeys remain uninterrupted: Where can I get more information? For more details, see Google Analytics for Marketing Cloud Engagement. If you have questions or need help, open a case with support via Salesforce Help. Google Analytics Integration for Marketing Cloud Engagement Integrate Google Analytics with Marketing Cloud Engagement to use Google Analytics capabilities to track and analyze journey activity. You can also view the resulting metrics directly in Marketing Cloud Engagement. Google’s native authentication creates a secure link between your Marketing Cloud Engagement instance and your Google Analytics account. To use this integration, your Marketing Cloud Engagement account must have the Google Analytics Audiences SKU. You must also have at least a Marketing Cloud Engagement Enterprise 2.0 account. For more information about these requirements, contact your Salesforce account representative. This integration supports Google Analytics properties that are created using the latest version of the Google Analytics platform, known as Google Analytics 4 or GA4. It supports both the free version and the paid Google Analytics 360 enterprise version. You can revoke the integration from a Google Analytics account. For the integration, Google recommends that you designate a primary company account to track all your properties and views. For more information, see the Google Hierarchy of organizations, accounts, users, properties, and views. Before you configure the Google Analytics Integration for Marketing Cloud Engagement: 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 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

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June 13, 2024in Google Analytics, Salesforce, Salesforce Marketing Cloud
Zero ETL
13Jun

Zero ETL

What is Zero-ETL? Zero-ETL represents a transformative approach to data integration and analytics by bypassing the traditional ETL (Extract, Transform, Load) pipeline. Unlike conventional ETL processes, which involve extracting data from various sources, transforming it to fit specific formats, and then loading it into a data repository, Zero-ETL eliminates these steps. Instead, it enables direct querying and analysis of data from its original source, facilitating real-time insights without the need for intermediate data storage or extensive preprocessing. This innovative method simplifies data management, reducing latency and operational costs while enhancing the efficiency of data pipelines. As the demand for real-time analytics and the volume of data continue to grow, ZETL offers a more agile and effective solution for modern data needs. Challenges Addressed by Zero-ETL Benefits of ZETL Use Cases for ZETL In Summary ZETL transforms data management by directly querying and leveraging data in its original format, addressing many limitations of traditional ETL processes. It enhances data quality, streamlines analytics, and boosts productivity, making it a compelling choice for modern organizations facing increasing data complexity and volume. Embracing Zero-ETL can lead to more efficient data processes and faster, more actionable insights, positioning businesses for success in a data-driven world. Components of Zero-ETL ZETL involves various components and services tailored to specific analytics needs and resources: Advantages and Disadvantages of ZETL Comparison: Z-ETL vs. Traditional ETL Feature Zero-ETL Traditional ETL Data Virtualization Seamless data duplication through virtualization May face challenges with data virtualization due to discrete stages Data Quality Monitoring Automated approach may lead to quality issues Better monitoring due to discrete ETL stages Data Type Diversity Supports diverse data types with cloud-based data lakes Requires additional engineering for diverse data types Real-Time Deployment Near real-time analysis with minimal latency Batch processing limits real-time capabilities Cost and Maintenance More cost-effective with fewer components More expensive due to higher computational and engineering needs Scale Scales faster and more economically Scaling can be slow and costly Data Movement Minimal or no data movement required Requires data movement to the loading stage Comparison: Zero-ETL vs. Other Data Integration Techniques Top Zero-ETL Tools Conclusion Transitioning to Zero-ETL represents a significant advancement in data engineering. While it offers increased speed, enhanced security, and scalability, it also introduces new challenges, such as the need for updated skills and cloud dependency. Zero-ETL addresses the limitations of traditional ETL and provides a more agile, cost-effective, and efficient solution for modern data needs, reshaping the landscape of data management and analytics. 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 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

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June 13, 2024in Snowflake
AI Yes Gen AI No
12Jun

AI Yes Gen AI No

The race in generative AI may conclude sooner than anticipated, despite it barely starting for most. Consider the role of generative AI as a supportive assistant, aiding users across dashboards, messaging platforms, and datasets by summarizing documents, chats, and answering queries in natural language. AI Yes Gen AI No. At PegaWorld, significant attention was drawn to Pega’s Knowledge Buddy, an assistant integrated with LLM, specifically OpenAI on Azure, tailored to organization-specific data. CTO Don Schuerman emphasized the practicality of Pega’s solution: “Knowledge Buddy solves many enterprise problems, but it’s not the only RAG-based product out there. Everyone’s got one.” Indeed, major companies each boast their AI assistants: Adobe with AI Assistant, Salesforce with Einstein Copilot, Microsoft with Copilot, HubSpot with various AI assistants, Oracle’s Digital Assistant, and SAP’s Joule. Possessing an AI assistant is now a necessity, not a differentiator, as it has become standard across competitors. Generative AI tools like text and image generators have garnered public interest due to their accessibility. For instance, tools like Google Gemini enable anyone to create, blurring the lines between creator roles. The prevalence of generative AI across over 14,000 martech products is notable, exemplified by MarTechBot, which leverages AI to answer queries and generate images based on MarTech’s vast archive. While text and image generation capabilities rapidly advance, offering these tools is becoming a norm rather than a novelty. Soon, lacking these capabilities will be akin to a supermarket not selling eggs. Does this signify the end of the AI arms race? While generative AI will continue to evolve, it is becoming ubiquitous as a fundamental requirement. However, it’s crucial to distinguish the generative AI arms race from the broader AI landscape. Non-generative AI, such as predictive analytics and classification AI used in digital asset management systems, plays a critical role. This statistical AI analyzes data at scale to derive insights, recommend products, or guide customers through complex journeys. Pega exemplifies this with its AI-driven decisioning and workflow automation, predicting optimal actions for specific challenges, which is distinct from the generative AI focus seen in competitors like Salesforce, Adobe, and Oracle. Looking forward, while generative AI will permeate everyday applications, the true transformative AI for enterprises might lie in refined predictive AI or fully autonomous AI capable of unsupervised business decision-making. In conclusion, while text and image generation will become commonplace, their revolutionary impact may wane compared to the potential of other AI applications poised to redefine enterprise capabilities. 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 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

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June 12, 2024in Generative AI
Salesforce Summer 24 Experience Cloud Release
12Jun

Salesforce Summer 24 Experience Cloud Release

Experience Cloud Customization is key, and Experience Cloud is here to help you deliver. Salesforce Summer 24 Experience Cloud Release. Integrate enhanced LWR sites with Data Cloud to gain deeper insights into site visitor interactions. Elevate your site with new styling features for forms and buttons, streamlined search options, and increased control over the layout and spacing of your LWR sites. Improve your visitor login experience with a new integration framework for headless login and guest user identity flows. Stay productive on the go with a collection of updates to the Mobile Publisher app. Salesforce Summer 24 Experience Cloud Release 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 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

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June 12, 2024in Salesforce Experience Cloud
Understanding and Growing Your Monthly Recurring Revenue
11Jun

Understanding and Growing Your Monthly Recurring Revenue

Understanding and Growing Your Monthly Recurring Revenue (MRR) Monthly Recurring Revenue (MRR) is a vital metric for subscription-based and managed services businesses. It indicates whether your business is growing or shrinking and is crucial for making strategic decisions. Understanding and Growing Your Monthly Recurring Revenue is a key to building, monitoring, and exploding your pipeline. What is Monthly Recurring Revenue (MRR)? While revenue represents your company’s total income, MRR is the predicted monthly revenue from active subscriptions. It includes all recurring charges such as subscriptions, service retainers, promos, discounts, and add-ons, but excludes one-time fees. Why is MRR Important? MRR provides insights into financial performance, growth potential, churn, and customer value. It is essential for strategic planning and investor relations. Benefits of Calculating MRR: Types of MRR: How to Calculate MRR: The basic formula for MRR is: MRR=Number of active accounts×Average monthly revenue per accounttext{MRR} = text{Number of active accounts} times text{Average monthly revenue per account}MRR=Number of active accounts×Average monthly revenue per account Steps to Calculate MRR: Example Calculation: MRR=(100×$50)+(50×$100)=$5,000+$5,000=$10,000text{MRR} = (100 times $50) + (50 times $100) = $5,000 + $5,000 = $10,000MRR=(100×$50)+(50×$100)=$5,000+$5,000=$10,000 So, the MRR for that month would be $10,000. Advanced MRR Calculations: Growing Your MRR: MRR is a crucial metric for understanding your customers, finances, and growth potential. By tracking and managing MRR, you can make informed decisions and drive sustainable business growth. As the subscription-based and managed services landscape evolves, prioritizing MRR is essential for improving and innovating revenue streams. 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 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 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

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June 11, 2024in Salesforce Financial Services Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Revenue Cloud, Salesforce Sales Cloud

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