June, 2023 - gettectonic.com
Salesforce Technical Architect
29Jun

Salesforce Technical Architect Explained

Salesforce Technical Architects are highly sought-after professionals within the Salesforce ecosystem, leveraging their expertise to meticulously map the structure and functionality of Salesforce solutions. Their role ensures that the solution remains efficient, secure, cost-effective, and tailored to the specific needs of the business. A Salesforce Architect A Salesforce Architect plays a pivotal role in designing and implementing robust solutions for enterprise-grade customers utilizing Salesforce products. Their primary responsibility involves recommending optimal solutions based on specified requirements and articulating the trade-offs inherent in selecting one solution over another. Becoming a Salesforce Architect is a combination of experience, deep knowledge of best practices, and to some extent, instinct. Attaining the Certified Technical Architect (CTA) certification is considered a challenging feat within the Salesforce ecosystem, demanding high levels of technical expertise, communication skills, and leadership capabilities to design and implement intricate solutions aligned with business requirements. Certified Salesforce Technical Architect As of recent data, there are approximately 300+ Salesforce Certified Technical Architects worldwide, making it an exclusive and esteemed certification. Technical Architects engage in hands-on execution during IT projects, focusing on a single implementation and specializing in specific domains while defining best practices. The demand for technical architects is substantial, especially those adept at designing, implementing, and managing cloud architectures meeting business expectations. Knowledge of cloud platforms like AWS, Azure, Google Cloud, or Salesforce is essential for technical architects. The Salesforce Architect career path is experiencing rapid growth, with a staggering 1,292% annual growth rate in the past five years. Successful architects are not only big-picture thinkers but also adept problem solvers. Generally possessing a broad and deep technical knowledge complemented by soft skills such as listening, communication, and presentation abilities. Is This Person a Developer? Contrary to common belief, becoming an architect doesn’t necessitate being a developer. However, architects should be able to read code, and recommend coding best practices. They should excel in the declarative (clicks not code) aspects of the platform. Integrating Salesforce with other technologies, governance, and development operations expertise are additional facets that architects bring to the table, blending technical prowess with business acumen for a collaborative and robust future. A Salesforce Architect serves as a trusted advisor and leader, collaborating with business stakeholders to envision and architect solutions to business challenges. Generally acting as the technical team leader. They educate the team on technical best practices, translating business needs into a technical vision for low code or pro code builders. Architects also design organizational strategies and data models. They implement integrations, and provide solutions for large data volumes and data privacy considerations. Their role extends to identifying optimal solutions for business requirements and recommending the use of clicks, code, or a combination based on the business use case. With their extensive problem-solving skills, architects often serve as the final escalation point for production issues. When you work with a Salesforce partner, like Tectonic, a Salesforce Technical Architect will be a part of your team. If your core Salesforce team is missing a solid Salesforce Technical Architect, reach out to Tectonic today for assistance. 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 29, 2023in Salesforce
Salesforce JSON
28Jun

Salesforce JSON

Today we are diving into JSON (JavaScript Object Notation) and exploring why it’s a crucial concept for you to understand. JSON is a data representation format widely used across the internet for APIs, configuration files, and various applications JSON Class Contains methods for serializing Apex objects into JSON format and deserializing JSON content that was serialized using the serialize method in this class. Usage Use the methods in the System.JSON class to perform round-trip JSON serialization and deserialization of Apex objects. Roundtrip Serialization and Deserialization Use the JSON class methods to perform roundtrip serialization and deserialization of your JSON content. These methods enable you to serialize objects into JSON-formatted strings and to deserialize JSON strings back into objects. What does JSON serialize do in Salesforce? JSON. serialize() accepts both Apex collections and objects, in any combination that’s convertible to legal JSON. String jsonString = JSON. What is the difference between JSON parse and JSON deserialize? The parser converts the JSON data into a data structure that can be easily processed by the programming language. On the other hand, JSON Deserialization is the process of converting JSON data into an object in a programming language. What is the difference between JSON and XML in Salesforce? JSON supports numbers, objects, strings, and Boolean arrays. XML supports all JSON data types and additional types like Boolean, dates, images, and namespaces. JSON has smaller file sizes and faster data transmission. XML tag structure is more complex to write and read and results in bulky files. Which is more secure XML or JSON? Generally speaking, JSON is more suitable for simple and small data, more readable and maintainable for web developers, faster and more efficient for web applications or APIs, supports native data types but lacks a standard schema language, and is more compatible with web technologies but less secure than XML. What is Salesforce JSON heap size limit? Salesforce enforces an Apex Heap Size Limit of 6MB for synchronous transactions and 12MB for asynchronous transactions. How to store JSON data in Salesforce object? If you need to store the actual JSON payload in Salesforce for audit purposes, Tectonic would recommend just using a Long Text Area field to store JSON content. You wouldn’t have any performance impacts when interacting with records, and if required you could add this to the layout of the child object storing this data. 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 28, 2023in Salesforce
web content accessibility guidelines
27Jun

Web Content Accessibility Guidelines

WCAG and ADA compliance While compliance with the Americans with Disabilities Act (ADA) and WCAG conformance have become almost synonymous over the years, it’s important to understand the distinction. Since WCAG itself is not a law, but a set of accessibility standards, there is no such thing as “compliance” with WCAG. However, WCAG was designed to help website owners achieve the level of accessibility that is required by laws like the ADA. It can be helpful to think of accessibility laws such as the ADA as the end destination—i.e., web accessibility for all—while WCAG maps out how to get there. Web content accessibility guidelines follow. Republished from www.w3.org Web Content Accessibility Guidelines Web Content Accessibility Guidelines (WCAG) 2.1 covers a wide range of recommendations for making Web content more accessible. Following these guidelines will make content more accessible to a wider range of people with disabilities, including accommodations for blindness and low vision, deafness and hearing loss, limited movement, speech disabilities, photosensitivity, and combinations of these, and some accommodation for learning disabilities and cognitive limitations; but will not address every user need for people with these disabilities. These guidelines address accessibility of web content on desktops, laptops, tablets, and mobile devices. Following these guidelines will also often make Web content more usable to users in general. WCAG 2.1 success criteria are written as testable statements that are not technology-specific. Guidance about satisfying the success criteria in specific technologies, as well as general information about interpreting the success criteria, is provided in separate documents. See Web Content Accessibility Guidelines (WCAG) Overview for an introduction and links to WCAG technical and educational material. WCAG 2.1 extends Web Content Accessibility Guidelines 2.0 [WCAG20], which was published as a W3C Recommendation December 2008. Content that conforms to WCAG 2.1 also conforms to WCAG 2.0. The WG intends that for policies requiring conformance to WCAG 2.0, WCAG 2.1 can provide an alternate means of conformance. The publication of WCAG 2.1 does not deprecate or supersede WCAG 2.0. While WCAG 2.0 remains a W3C Recommendation, the W3C advises the use of WCAG 2.1 to maximize future applicability of accessibility efforts. The W3C also encourages use of the most current version of WCAG when developing or updating Web accessibility policies. Status of This Document This section describes the status of this document at the time of its publication. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at https://www.w3.org/TR/. This is a Recommendation of WCAG 2.1 by the Accessibility Guidelines Working Group. This incorporates errata and are described in the change log. At some point additional changes might be incorporated into an Edited or Amended Recommendation. To comment, file an issue in the W3C WCAG GitHub repository. Although the proposed Success Criteria in this document reference issues tracking discussion, the Working Group requests that public comments be filed as new issues, one issue per discrete comment. It is free to create a GitHub account to file issues. If filing issues in GitHub is not feasible, send email to [email protected] (comment archive). This document was published by the Accessibility Guidelines Working Group as a Recommendation using the Recommendation track. W3C recommends the wide deployment of this specification as a standard for the Web. A W3C Recommendation is a specification that, after extensive consensus-building, is endorsed by W3C and its Members, and has commitments from Working Group members to royalty-free licensing for implementations. This document was produced by a group operating under the 1 August 2017 W3C Patent Policy. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy. This document is governed by the 12 June 2023 W3C Process Document. Requirements for WCAG 2.1 Introduction This section is non-normative. Background on WCAG 2 Web Content Accessibility Guidelines (WCAG) 2.1 defines how to make Web content more accessible to people with disabilities. Accessibility involves a wide range of disabilities, including visual, auditory, physical, speech, cognitive, language, learning, and neurological disabilities. Although these guidelines cover a wide range of issues, they are not able to address the needs of people with all types, degrees, and combinations of disability. These guidelines also make Web content more usable by older individuals with changing abilities due to aging and often improve usability for users in general. WCAG 2.1 is developed through the W3C process in cooperation with individuals and organizations around the world, with a goal of providing a shared standard for Web content accessibility that meets the needs of individuals, organizations, and governments internationally. WCAG 2.1 builds on WCAG 2.0 [WCAG20], which in turn built on WCAG 1.0 [WAI-WEBCONTENT] and is designed to apply broadly to different Web technologies now and in the future, and to be testable with a combination of automated testing and human evaluation. For an introduction to WCAG, see the Web Content Accessibility Guidelines (WCAG) Overview. Significant challenges were encountered in defining additional criteria to address cognitive, language, and learning disabilities, including a short timeline for development as well as challenges in reaching consensus on testability, implementability, and international considerations of proposals. Work will carry on in this area in future versions of WCAG. We encourage authors to refer to our supplemental guidance on improving inclusion for people with disabilities, including learning and cognitive disabilities, people with low-vision, and more. Web accessibility depends not only on accessible content but also on accessible Web browsers and other user agents. Authoring tools also have an important role in Web accessibility. For an overview of how these components of Web development and interaction work together, see: Where this document refers to WCAG 2 it is intended to mean any and all versions of WCAG that start with 2. WCAG

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June 27, 2023in Salesforce Sales Cloud
Marketing Cloud
26Jun

Salesforce Marketing Cloud Package Manager

Introducing the Marketing Cloud Package Manager Enhance efficiency, scale best practices, and expedite time-to-value by bundling tailored solutions for your company or industry, effortlessly deploying them across diverse environments using Marketing Cloud Package Manager. You can even deploy assets from one business unit to another. Salesforce has continuously refined, upgraded, and enriched the deployment options for Package Manager over the past year. Updates to Package Manager Marketing Cloud Package Manager now facilitates the packaging and deployment of automations containing import activities utilizing subscriber lists. Optimize the inclusion of images in packaged solutions by configuring them as reference URLs, eliminating the need to store them individually within the package. Monitor the deployment progress with the newly introduced progress bar, providing real-time insights into the completion timeline. Additionally, shared data extensions are now usable for packaging items, and users with Journey Builder access can package journey templates using Package Manager. Enhancements to Marketing Cloud Package Manager Package Manager ensures automatic inclusion of in-app messages when packaging a journey. Furthermore, any content referenced by the ContentBlockByName AMPscript function is seamlessly integrated into your package. Significant performance improvements have been implemented for package deployment, specifically for attribute group and attribute set creation and updates. Industry Solutions Templates in Package Manager Industry Solutions represent meticulously crafted campaign templates featuring industry-specific journeys, content, automations, landing pages, and more, facilitating accelerated workflows for marketers. These templates are designed to streamline Marketing Cloud setup times and accommodate various instances for distinct business units. Available solutions encompass: Retail Re-Engagement How to Deploy: To initiate the solution deployment process in Package Manager, navigate to the Industry Solutions tab. Choose the relevant solution, and with a simple click, deploy the chosen solution for seamless integration into your Marketing Cloud environment. Like1 Related Posts 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 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 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 Overlooked Costs of a Salesforce Implementation Let’s look at some frequently overlooked Salesforce costs. The goal is to provide businesses and decision-makers with a comprehensive understanding Read more

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June 26, 2023in Salesforce Marketing Cloud
Salesforce Data Cloud
22Jun

Salesforce Data Cloud Terminology

The Data Cloud remains one of Salesforce’s most enigmatic products, often touted for its seemingly ‘magical’ capabilities. Recently, Salesforce made waves by announcing complimentary Data Cloud licenses (albeit with certain restrictions), prompting numerous organizations to explore this platform’s potential. Salesforce Data Cloud Terminology. When diving into any significant facet of the Salesforce ecosystem, navigating a learning curve is par for the course. Familiarizing oneself with the terminology and its practical implications is a crucial starting point to feeling confident with the technology. Introducing Your Guide to Salesforce Safety Net 3 Within this guide, we explain essential terminology to grasp data modeling concepts and elucidate how data traverses through various stages within the Data Cloud, culminating in the activation of refined segments. Understanding these foundational concepts in data sourcing is pivotal when working with the Data Cloud. Given the diverse origins of streamed data, akin to Marketing Cloud data extensions, a grasp of these terms proves invaluable. Primary Key: A distinguishing field within a dataset, such as the Salesforce record ID. Foreign Key: Facilitates linking data across distinct tables or sources; for instance, correlating an OrderID between customer records and order details datasets from an eCommerce platform. To satiate the voracious appetite of the Data Cloud, ingestion serves as the conduit for feeding it with data. Various methods, including SDKs, Connectors, and the Ingestion API, facilitate this process. SDKs: Accelerate integration setup, with examples like the Interactions SDK and Engagement Mobile SDK from Salesforce. Connectors: Pre-built integrations simplifying connections between Salesforce products and Data Cloud. Ingestion API: Enables developers to construct integrations from scratch for data sources not covered by SDKs or connectors. Datasets from disparate sources enter the Data Cloud as data streams, with their frequency of updates dictated by operational needs and API capabilities. Real-time data streams: Immediate data updates. Batched data streams: Data updates occur at predetermined intervals, such as hourly or daily. Visualize the Salesforce data model, where objects relate to one another; these objects collaboratively manage ingested data within the Data Cloud. Data Source object: Initial repository for ingested data in its raw format. Data Lake object: Facilitates data mapping to other sources and applies transformations. Data Model object: Resembles Salesforce objects structurally, facilitating relational data management without storing data internally. The mapping canvas provides a visual interface for aligning disparate data points, crucial for rendering ingested data usable through mappings from data source to data lake objects. During this process, primary keys and match/reconciliation rules are specified. Data Cloud’s strength lies in resolving discrepancies to compile comprehensive records, essential for maintaining unified profiles across platforms without merging records. Building upon traditional Salesforce duplicate and matching rules, Data Cloud offers deterministic and probabilistic matching, catering to various data representation nuances. Similar to Salesforce deduplication concepts, reconciliation rules determine the preferred value for fields, aiding in mass deduplication. Ranking data sources according to reliability helps prioritize trustworthy data over less accurate sources within the Data Cloud. Identity resolution culminates in unified profiles, representing the ‘golden record’ of individuals, adaptable to evolving data streams. Comparable to Salesforce roll-up fields, calculated insights derive new data points from existing ones, enriching data analysis capabilities. Streaming insights offer real-time or near-real-time analysis, suited for smaller datasets requiring swift insights. Activation transpires when perfected segments are dispatched to destinations for personalized interactions, spanning Marketing Cloud, advertising platforms, and other repositories. Data actions trigger alerts or events based on streaming insights and engagement data, fostering automation and integration across Salesforce platforms. In Summary Mastering the Data Cloud entails navigating its terminologies and understanding how data evolves through its lifecycle, culminating in the activation of refined segments for personalized interactions. 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 22, 2023in Salesforce Data Cloud
Sales Pipeline
20Jun

Key Metrics of a Sales Pipeline

Key Metrics of a Sales Pipeline ensure you measure statistics that drive the needle to results. Initiate the optimization of your sales pipeline by incorporating vital elements that span distinct stages and pivotal metrics. Here are essential considerations: Lead Source: Determine how potential clients discover your business, whether through digital advertisements, print marketing, email campaigns, customer referrals, or alternative methods. Evaluate the effectiveness of each source in terms of conversion rates, enabling a focused approach on the most productive channels. Industry: Identify industries where your product resonates more effectively with clients. Concentrate marketing efforts on specific industries, tailoring strategies to align with their preferences and needs. Decision Makers Involved: Quantify the number of client-side contacts participating in the decision-making process. Customize strategies based on the roles of each contact, adapting approaches for CEOs, finance directors, or CTOs. Deal Size: Categorize buyers based on their willingness to invest, distinguishing between those with substantial budgets and those with more conservative ones. Tailor your presentations to accommodate the budget constraints and preferences of different segments. Probability to Close: Evaluate the likelihood of each lead transitioning into a customer. Consider factors like the sales pipeline stage, team interactions, and other criteria indicating the lead’s readiness to finalize a deal. Ensure the adaptability of your sales pipeline design, allowing for diverse analyses and inquiries. Regularly review and adjust your template to detect data anomalies, enabling the resolution of issues in your sales funnel and the maximization of opportunities to expedite your sales process. Key Metrics of a Sales Pipeline 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 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 20, 2023in Salesforce Sales Cloud
Salesforce Managed Services
19Jun

Writing and Sending Marketing Automation in Salesforce

Marketing automation refers to technology that efficiently manages various marketing processes and multifaceted campaigns across multiple channels. It automates the targeting of customers through messages delivered via email, web, social media, and text. These messages are sent automatically based on predefined sets of instructions known as workflows. These workflows can be template-defined, custom-built, or adjusted during a campaign for improved outcomes. Marketing automation in Salesforce is the same, only better. The primary functions of marketing automation encompass lead generation, nurturing, scoring, and measuring the overall return on investment (ROI) of campaigns. As an organization grows in size and complexity, the time- and cost-saving benefits of automation become more apparent. Robust marketing automation systems are designed to seamlessly scale alongside the evolving needs of your business. Why Marketing Automation By employing marketing automation, you can execute a digital marketing strategy without the need to manually send every email, message, campaign, or post. Efficient automation tools aid in audience identification, content design, and the automatic triggering of actions based on schedules and customer behavior. This allows you to focus on other tasks while your campaign unfolds, enabling subsequent analysis and adjustments to your marketing plan based on emerging results. An automated marketing strategy proves invaluable in saving time and resources, driving revenue and ROI, while enabling you to concentrate on business growth. Customer data is collected through various interactions, such as emails, website visits, app usage, and social media engagement. Marketing automation leverages this data to create a comprehensive 360-degree view of each customer. The system streamlines segmentation and targeting processes, enabling quick and scalable identification of the right audiences. It tailors messaging automatically based on individual customer profiles, creating relevant and personalized content across email, mobile, social media, web experiences, and more. Whether dealing with a customer base of 100 or 100 million, marketing automation efficiently delivers personalized experiences. At scale. Marketing automation plays a pivotal role in crafting relevant content and messaging across diverse channels. It goes beyond mere personalization by dynamically customizing email subject lines, integrating mobile messaging with email and social campaigns, generating targeted digital ads, and automatically recommending suitable products on websites. Marketing Automation in Salesforce This approach allows businesses to engage customers throughout their journey, irrespective of where they are in the customer lifecycle — from acquisition to advocacy. Marketing automation ensures the delivery of timely, pertinent content that aligns with customer preferences, converting prospects into lifelong brand advocates. Emphasizing ease of use, marketing automation enables the creation of campaigns with a single click and centralizes control over all aspects of the digital marketing strategy. User-friendly interfaces and drag-and-drop functionality, reminiscent of everyday apps, make the process straightforward. Moreover, marketing automation with Salesforce serves as a central hub for customer data, ensuring a consistent brand identity across all teams — seamlessly bringing together marketing, sales, and customer service to create a unified and seamless customer experience. Automation Assistance Tectonic looks forward to assisting you in implementing a marketing automation platform, such as Marketing Cloud or Account Engagement (formerly Pardot), and providing consulting services to optimize your emails for maximum impact. Contact us today. Like2 Related Posts 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 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a 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 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

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June 19, 2023in Marketing Automation, Salesforce Communications Cloud, Salesforce Marketing Automation, Salesforce Marketing Cloud Advertising, Salesforce Optimization
Salesforce Service Cloud
18Jun

AI in Salesforce Service Cloud

Deliver personalized service and save time with AI built directly into your flow of service work. Utilize Salesforce’s trusted AI for customer service to create seamless conversational, predictive, and generative AI experiences for your agents and customers. Service Cloud has everything you need to scale now and drive immediate value. Salesforce launched Service Intelligence, a powerful new analytics app for Service Cloud designed to boost agent productivity, cut costs, and enhance customer satisfaction.  And now you have AI in Service Cloud. Powered by Data Cloud, Salesforce’s real-time hyperscale data engine, Service Intelligence gives users access to all of their data directly within Service Cloud, eliminating the need to toggle between screens for information. Pre-built, customizable dashboards inside Service Intelligence provide a view of essential metrics like customer satisfaction and individual and team workloads. And, with Einstein Conversation Mining, service professionals can use AI to analyze customer chat and email conversations to uncover insights — like specific challenges customers face during service interactions — assess the likelihood of complaint escalation, and proactively address the issue with the customer. To add AI in Service Cloud to your instance, contact Tectonic today. Service Intelligence, a new analytics app for Service Cloud is designed to boost productivity, cut costs, and enhance customer satisfaction.  AI is gaining prominence among service professionals, with an 88% increase in AI adoption from 2020 to 2022. This is no surprise, as 63% of service professionals say AI will help them serve customers faster. By embracing AI, service professionals can make informed decisions fast and enhance customer satisfaction, securing a competitive edge. Like 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 Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust 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 Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

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June 18, 2023in Salesforce Einstein, Salesforce Manufacturing Automotive Energy, Salesforce Service Cloud
Salesforce
16Jun

Codescan Salesforce

Codescan Salesforce by AutoRABIT is a static code analysis solution that provides visibility into code health from the first line written through final deployment into production. Reliable code analysis directly on the AutoRABIT DevSecOps platform drives Salesforce development quality, speed, and security. The quick code scan tool is free of charge at this time. Code Scanning Definition Code scanning is the process of examining code to identify bugs, errors, and security flaws. Any issues found are displayed, enabling you to address them quickly and enhance the security of your application. What is the CodeScan tool for Salesforce? CodeScan Shield is the leading end-to-end static code analysis solution for code security and quality. Lightning ready and exclusively for the Salesforce platform, CodeScan increases productivity, quality, and security for all Salesforce DevOps teams. What does static code analysis do? Static analysis is a method of debugging that is done by automatically examining the source code without having to execute the program. This provides developers with an understanding of their code base and helps ensure that it is compliant, safe, and secure. The most comprehensive code analysis tool supporting SF languages and metadata. Track and control your SF code quality with CodeScan. Robust Analysis for High-Quality Code and Intuitive Governance Total visibility over the health of your environment reduces costs and increases time to market.  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, 2023in Salesforce
Scale Data and Analytics in the Cloud
15Jun

Scale Data and Analytics in the Cloud

Winning in the Data Economy In the rapidly growing data economy, enterprises are eager to gain a competitive edge. This data economy, which revolves around the global supply and demand for data and data-driven applications, continues to expand as more organizations seek critical insights to drive their success. Scale Data and Analytics in the Cloud. The value of data isn’t a new concept. Companies acquired other companies for the sole purpose of obtaining their data – customers, prospects, etc. The value of actionable data is a bit newer. Whereas we once marketed to prospects based primarily on historical data, data-driven applications let us market at the right time on the right channel with the right message. To understand what it takes to excel in the new data economy, Tableau partner Snowflake surveyed business and technology leaders. Their research highlighted the characteristics of the leaders and laggards, emphasizing the importance of a strong data strategy for achieving successful outcomes. Industries like financial services, health and life sciences, and retail are still struggling to fully benefit from the data economy, often finding it challenging to unlock the full value of their data. Here are four key actions that can help organizations win in today’s data economy and achieve tangible results: 1. Create a Strong Data Culture A robust data culture is foundational for realizing the value of data. Organizations that prioritize becoming data-driven see significant benefits: Jennifer Belissent, Principal Data Strategist at Snowflake, emphasizes how a cloud-enabled data culture accelerates time-to-value by breaking down organizational silos. Tableau offers a playbook to help organizations build, expand, and mature their data capabilities. 2. Adopt an AI-Driven, Enterprise-Ready Analytics Platform Data leaders utilize AI-driven enterprise analytics platforms like Tableau, which provide trusted predictions and insights to scale decision-making. Traditional solutions often fall short in delivering speed to insight and self-service capabilities. Tableau, particularly with Tableau Cloud, offers an easy-to-scale solution that manages and analyzes data across various sources, supporting meaningful impact and agility. Tableau Cloud’s Advanced Management capabilities enhance security, usability, and scalability. Additionally, Tableau Accelerators—over 100 ready-to-use, in-product dashboard starters—support various industries, enabling comprehensive analysis and problem-solving. 3. Migrate to the Cloud Cloud adoption is accelerating as organizations pursue data-driven digital transformations. The cloud offers flexibility, agility, scalability, reduced IT overhead, and increased resilience and performance. Key considerations for cloud migration include: Whether opting for on-premise, hybrid, or full cloud migration, Tableau connects to data wherever it resides, fueling insights across the business. Tableau’s own journey to the cloud involved evaluating criteria, enhancing collaboration, and applying new data management processes, resulting in a unified source of truth. 4. Choose the Right Partners to Scale Cloud-Native Analytics Selecting partners that facilitate cloud-native analytics is crucial. Ideal partners should offer: Snowflake and Tableau exemplify these qualities, addressing data and organizational demands. Snowflake provides extensive data storage and processing, while Tableau offers intuitive, self-service analytics. This partnership has helped enterprises like Cart.com achieve significant revenue growth by embedding Tableau analytics in Snowflake’s platform. Embrace the Data Economy with Cloud-Native Analytics Regardless of where your organization stands in the data economy, taking steps to leverage cloud-native analytics can unlock numerous opportunities. Tableau continues to invest in its platform to help organizations thrive with data in the cloud, offering expert advice, solutions, and valuable partnerships. By adopting these strategies, your organization can become a leader in the data economy and achieve remarkable results. 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, 2023in Salesforce Data Cloud, Snowflake
Use Salesforce Einstein Copilot
14Jun

Marketing GPT and Commerce GPT Announcement

Salesforce Introduces Marketing GPT and Commerce GPT to Revolutionize Personalized Campaigns and Shopping Experiences with Generative AI San Francisco — June 7, 2023 — Salesforce (NYSE: CRM), the global CRM leader, announced today at Connections its latest innovations, Marketing GPT and Commerce GPT, which combine generative AI with real-time data from Data Cloud. These groundbreaking products aim to transform how businesses engage with customers by delivering personalized experiences across every touchpoint. Significance: Generative AI is driving efficiency and productivity for businesses, with 60% of marketers acknowledging its transformative potential. However, concerns about accuracy and quality remain prevalent, highlighting the importance of trusted customer data for effective generative AI implementation. What’s new: Marketing GPT empowers marketers to create personalized, relevant experiences using generative AI and trusted first-party data from Data Cloud. With Marketing GPT and Data Cloud, marketers can: Commerce GPT enables companies to deliver customized shopping experiences throughout the buyer’s journey with auto-generated insights and recommendations based on unified real-time data from Data Cloud. With Commerce GPT and Data Cloud, brands can: Salesforce partners like DEPT®, Media.Monks, NeuraFlash, and Slalom are building a generative AI ecosystem with new accelerators, language models, and integrations to simplify Marketing GPT and Commerce GPT implementation for businesses. Soundbites: Availability: 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 14, 2023in Generative AI, Salesforce Einstein
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