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05Sep

Salesforce Foundations Announced

Salesforce Inc. today introduced Salesforce Foundations, a new suite of features designed to help large enterprises operating across multiple industries unify their sales operations. As a prelude to Dreamforce this free Salesforce upgrade allows customers to combine data and functionality from Salesforce products in a single, new portal. Available at no cost to all Salesforce Sales Cloud and Service Cloud users, Salesforce Foundations consolidates functionality from the company’s Sales, Service, Marketing, Commerce, and Data Cloud platforms. The goal is to create a more cohesive experience across departments, breaking down silos to enable seamless collaboration. In addition to these core features, Salesforce Foundations offers trial-based access to a variety of third-party applications available on the AppExchange marketplace. This initiative comes in response to a recent study revealing that 55% of Salesforce customers feel disconnected when interacting with different departments within their organization. The lack of integration between sales data and workflows in various departments has often created a fragmented customer experience. Bringing Departments Together Salesforce Foundations aims to eliminate these silos by providing a unified platform for all departments, ensuring a consistent view of an organization’s complete sales operations. Foundational Features for All The platform provides users with access to essential functionality from each of Salesforce’s key cloud products, along with free trials of top partner apps. These features are made available through a customizable user interface with a guided setup experience. As a result, features like email campaigns (previously exclusive to Sales Cloud), secure payment links (from Commerce Cloud), and targeted segmentation (Data Cloud) are now accessible to all Sales Cloud and Service Cloud users. The main advantage of Salesforce Foundations is its ability to harmonize customer data across departments. For example, Sales Cloud users can now access data previously available only to Data Cloud users. By providing access to this unified data, Salesforce believes it can offer numerous benefits to customers. Driving Revenue and Collaboration One of the most significant benefits of Salesforce Foundations is its potential to drive revenue by fostering collaboration across sales, service, and marketing teams. With a unified data set, teams can gain superior insights into customer behavior. Marketing teams, for instance, will be able to track customer interactions with the service department and use this information to craft more targeted advertising campaigns. Sales teams will also benefit from the ability to turn quotes into cash more quickly. They can now access secure payment links, a feature previously exclusive to Commerce Cloud, allowing them to bill customers directly without waiting for instructions from the commerce department. Service teams, in turn, can assist marketing efforts by accessing sales quoting tools and secure payment links, enabling them to upsell products and services more effectively. AI and Partner Integration Salesforce Foundations also supports artificial intelligence applications by grounding them in more contextualized customer data. For example, marketing teams can use AI to create more targeted segmentation lists based on service case histories or sales pipeline stages, data that was previously unavailable to them. In recent years, Salesforce has been actively transforming the data architecture of its applications, with many now built on the Salesforce Data Cloud’s metadata-driven foundation. This allows Salesforce Data Cloud to house not only the data but also the context (metadata) that surrounds it. As a result, businesses can more easily establish relationships between data tied to the same customer or user across various software solutions. These software solutions primarily include Salesforce products like Sales Cloud and Service Cloud, but they also extend to third-party applications that integrate with the Data Cloud. Now, with the introduction of Salesforce Foundations, customers can visualize this data within a unified portal, apply filters, and even trigger actions such as upsell opportunities. To further enhance productivity, Salesforce is offering free trials of third-party applications from the AppExchange, including Webex by Cisco, DocuSign, and RingCentral. These “launch partner apps” are designed to improve collaboration, streamline document management, and lower operational costs for customers. 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

September 5, 2024in Salesforce Sales Cloud

04Sep

Data Integration with AWS Glue

The rapid rise of Software as a Service (SaaS) solutions has led to data silos across different platforms, making it challenging to consolidate insights. Effective data analytics depends on the ability to seamlessly integrate data from various systems by identifying, gathering, cleansing, and combining it into a unified format. AWS Glue, a serverless data integration service, simplifies this process with scalable, efficient, and cost-effective solutions for unifying data from multiple sources. By using AWS Glue, organizations can streamline data integration, minimize silos, and enhance agility in managing data pipelines, unlocking the full potential of their data for analytics, decision-making, and innovation. This insight explores the new Salesforce connector for AWS Glue and demonstrates how to build a modern Extract, Transform, and Load (ETL) pipeline using AWS Glue ETL scripts. Introducing the Salesforce Connector for AWS Glue To meet diverse data integration needs, AWS Glue now supports SaaS connectivity for Salesforce. This enables users to quickly preview, transfer, and query customer relationship management (CRM) data, while dynamically fetching the schema. With the Salesforce connector, users can ingest and transform CRM data and load it into any AWS Glue-supported destination, such as Amazon S3, in preferred formats like Apache Iceberg, Apache Hudi, and Delta Lake. It also supports reverse ETL use cases, enabling data to be written back to Salesforce. Key Benefits: Solution Overview For this use case, we retrieve the full load of a Salesforce account object into a data lake on Amazon S3 and capture incremental changes. The solution also enables updates to certain fields in the data lake and synchronizes them back to Salesforce. The process involves creating two ETL jobs using AWS Glue with the Salesforce connector. The first job ingests the Salesforce account object into an Apache Iceberg-format data lake on Amazon S3. The second job captures updates and pushes them back to Salesforce. Prerequisites: Creating the ETL Pipeline Step 1: Ingest Salesforce Account Object Using the AWS Glue console, create a new job to transfer the Salesforce account object into an Apache Iceberg-format transactional data lake in Amazon S3. The script checks if the account table exists, performs an upsert if it does, or creates a new table if not. Step 2: Push Changes Back to Salesforce Create a second ETL job to update Salesforce with changes made in the data lake. This job writes the updated account records from Amazon S3 back to Salesforce. Example Query sqlCopy codeSELECT id, name, type, active__c, upsellopportunity__c, lastmodifieddate FROM “glue_etl_salesforce_db”.”account”; Additional Considerations You can schedule the ETL jobs using AWS Glue job triggers or integrate them with other AWS services like AWS Lambda and Amazon EventBridge for advanced workflows. Additionally, AWS Glue supports importing deleted Salesforce records by configuring the IMPORT_DELETED_RECORDS option. Clean Up After completing the process, clean up the resources used in AWS Glue, including jobs, connections, Secrets Manager secrets, IAM roles, and the S3 bucket to avoid incurring unnecessary charges. Conclusion The AWS Glue connector for Salesforce simplifies the analytics pipeline, accelerates insights, and supports data-driven decision-making. Its serverless architecture eliminates the need for infrastructure management, offering a cost-effective and agile approach to data integration, empowering organizations to efficiently meet their analytics needs. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

September 4, 2024in Salesforce

04Sep

Salesforce to Acquire PredictSpring

Salesforce to Acquire PredictSpring, Enhancing Omnichannel Capabilities Last month, Salesforce finalized an agreement to acquire PredictSpring, a leading provider of point-of-sale (POS) software. PredictSpring, known for its omnichannel commerce solutions, offers a suite of mobile POS systems along with clienteling, inventory management, and order management tools tailored for the retail sector. Insights from Industry Analysts In a recent episode of CX Today’s BIG News Update, key analysts shared their perspectives on the acquisition, highlighting three major points. Filling a Critical Gap Rebecca Wetteman, CEO & Principal Analyst at Valoir, noted that while Salesforce has effectively assisted many B2B clients, such as Fiserv and Peloton, in transitioning to B2C strategies, one crucial component was missing: order management. PredictSpring’s solutions address this gap, enhancing Salesforce’s data strategy and providing a more comprehensive customer view. Wetteman stated, “This addition is a significant move for Salesforce, strengthening their position beyond B2B and bridging the B2B to B2C divide.” Advancing Omnichannel Retail Simon Harrison, Founder & CEO at Actionary, emphasized that the acquisition represents a major step forward in delivering effective omnichannel solutions. PredictSpring’s technology promises to solve challenges associated with integrating in-store and digital experiences, enhancing overall customer interactions. Harrison praised the investment, stating, “This is a smart move, addressing real-world issues and increasing value for both staff and customers in today’s dynamic retail environment.” Expanding Market Reach Martin Schnieder, VP and Principal Analyst at Constellation Research, pointed out that acquiring PredictSpring aligns with Salesforce’s strategy to expand its total addressable market (TAM). He highlighted retail as a sector with unique challenges and opportunities, where Salesforce’s Data Cloud and platform can create impactful vertical-specific solutions. Schnieder noted, “Retail offers a different model with constrained margins, and Salesforce can leverage its platform to provide substantial value.” Michael Fauscette, Founder, CEO, and Chief Analyst at Arion Research, observed that Salesforce is strategically acquiring startups to fill gaps in its vertical offerings. He remarked, “Salesforce’s approach involves identifying startups that address specific needs and integrating them into their ecosystem. This strategy has proven effective and allows Salesforce to go to market directly with these partners, a practice not always seen among enterprise vendors.” Conclusion Salesforce’s acquisition of PredictSpring is a strategic move to enhance its omnichannel capabilities and address key gaps in its offerings. By integrating PredictSpring’s advanced POS solutions, Salesforce aims to strengthen its position in the retail sector and continue its growth trajectory in both B2B and B2C markets. 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

September 4, 2024in Salesforce

04Sep

Autonomous AI Sans Human

Rise of Autonomous AI: Less Human Control and Increasing Adoption A recent Salesforce study reveals that nearly half of employees in Switzerland (46%) are either using or experimenting with AI technologies. While there is a general comfort with AI when it complements human efforts, many employees still prefer human oversight for tasks like training, data security, and onboarding. Despite this, the data indicates that increased investment in education and training could enhance trust in autonomous AI systems. Switzerland’s AI Adoption Compared to Other Countries Switzerland shows a higher openness to AI compared to other nations. In Germany, only 28% of respondents use AI confidently, compared to 46% in Switzerland. The UK (17%) and Ireland (15%) show even more skepticism. Conversely, India has the highest AI confidence, with 40% of respondents showing strong support. In Switzerland, however, 24% of employees are reluctant to use AI at work, and 25% are not keen on Generative AI. Sector-Specific AI Usage Trends The study also highlights significant sector differences. In the communications industry, 69% of employees are willing to use AI tools like ChatGPT and Gemini without hesitation. This contrasts with the life sciences and biotechnology sectors, where 72% of respondents are resistant to AI adoption. In the public sector, while there is general willingness, 56% express reservations due to a lack of expertise and guidelines. Notably, 39% of public sector respondents are completely opposed to using AI tools. Generational Insights on AI Proficiency Among different generations, Millennials and Gen X exhibit the highest proficiency and comfort with AI technology. In contrast, Gen Z appears more critical of AI, with 82% of this group avoiding AI assistants like IBM Watson or Microsoft Copilot. Millennials are more engaged, with 39% actively experimenting with or fully integrating AI assistants into their work routines. Gregory Leproux, Senior Director of Solution Engineering at Salesforce Switzerland, notes, “Our study reflects our customer experience: AI is widely used in Swiss companies, but human intervention remains prevalent. To fully leverage the benefits of AI, there is a need for robust control mechanisms and policies for responsible AI use, allowing for systematic review rather than piecemeal assessment. Thoughtfully designed AI systems can merge human and machine intelligence, marking the beginning of an exciting new era.” The survey, conducted by Salesforce in partnership with YouGov, took place from March 20 to April 3, 2024, with nearly 6,000 full-time employees from various industries and countries, including Switzerland (265 participants). The online survey covered nine countries: the US, UK, Ireland, Australia, France, Germany, India, Singapore, and Switzerland. Source: www.salesforce.com 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

September 4, 2024in Generative AI

04Sep

Five9 Cautious Forward Looking

Recently, Five9 reported its second-quarter FY24 results, revealing a strong performance for the period. However, the company’s cautious forward-looking guidance led to a significant drop in its stock price, which fell by over 25%. In response to queries about the conservative outlook, a Five9 spokesperson attributed the reduced 2024 revenue guidance—a 3.8% decrease—to macroeconomic headwinds. This cautious forecast stands in contrast to the more optimistic outlooks of Five9’s publicly traded peers. Economic factors such as global issues, talent shortages, AI uncertainty, and the upcoming election are influencing customers’ decisions on IT investments, which likely contributed to the reduced guidance. Additionally, sales execution challenges have prompted the company to take corrective measures. While Five9 might face unique challenges that other CCaaS providers do not, the full impact will become clearer in the next quarter. In response to these challenges, Five9 has taken steps to stabilize its operations, including promoting Matt Tuckness from VP of Global Customer Success to EVP of Sales and Customer Success. This move, described by leadership as promoting a “dedicated sales leader” with a decade of experience at Five9, aims to enhance sales execution. Scott Berg from Needham questioned the timing of the promotion, suggesting it might be a reaction to a single quarter’s results. Dan Burkland, Five9’s President, defended the decision, emphasizing that having a dedicated EVP of Sales is crucial for focusing on enterprise deals, especially given Five9’s efforts to grow its enterprise base. Five9 has also announced a 7% workforce reduction, affecting approximately 185 employees. This marks the company’s first layoff in its history, which is notable given its history of growth through acquisitions, such as the recent planned acquisition of Acqueon, a real-time revenue execution platform. Typically, acquisitions lead to headcount adjustments, but Five9 had managed to avoid such cuts until now. The company stated that the reduction was necessary to focus on profitable growth and long-term business resilience while continuing to serve global customers and innovate. Although layoffs are challenging, they are sometimes necessary for business adaptation. Many UCaaS and CCaaS providers expanded their workforces during the pandemic and later faced the need to trim excess staff as the market softened. Five9’s adjustment in headcount reflects changing market conditions. The acquisition of Acqueon is expected to accelerate Five9’s vision by integrating expertise in inbound and outbound communications to enhance personalized customer experiences across marketing, sales, and service. Acqueon will operate as a separate business unit within Five9, with plans to eventually integrate its brand into the larger Five9 brand. Overall, despite the quarter’s challenges, Five9 had a strong performance. It achieved a record-breaking $1 billion ARR run rate for the first time, with total subscription revenue growing by 17%. The company maintains a robust balance sheet with over $1 billion in cash. The recent organizational changes, including new leadership and headcount adjustments, are indicative of Five9’s maturation and aim to return the company to its pattern of strong performance and growth. 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

September 4, 2024in Salesforce

03Sep

Salesforce Data Migration

In today’s era of rapid digital transformation, efficient data migration has become increasingly important as cloud adoption gains momentum. Foundry’s research indicates that 63% of IT leaders have accelerated their cloud migrations, but 90% encounter challenges, often related to budget constraints. This emphasizes the need for meticulous planning and strategic execution. This insight focuses on Salesforce data migration, outlining why it’s essential and providing a nine-step plan for a successful migration. Additionally, we look into data preparation solutions and highlight Salesforce data migration tools, turning potential challenges into growth opportunities. Salesforce Data Migration Checklist Why is Data Migration Important? In 2011, we faced the challenge of transferring data from an old phone to a first smartphone. The contacts were especially important, but the outdated phone lacked any data transfer capabilities. Unwilling to manually re-enter everything, we researched extensively and discovered a method to extract the data into a CSV file. Converting it into vCard format, we successfully migrated all contacts. This personal experience illustrates the significance of data migration, not just for businesses but for everyday scenarios as well. For organizations, having a structured data migration plan is critical when transitioning from legacy systems to modern platforms like Salesforce. It enhances efficiency, scalability, and accessibility, supporting business growth through better data management, cost savings, and improved decision-making. Data migration also ensures integrity and security, aligning IT capabilities with evolving business needs and driving innovation in a fast-changing technological landscape. Learn how we helped Cresa migrate over 8,000 records to Salesforce with 100% accuracy. What is Salesforce Data Migration? Salesforce data migration refers to the process of transferring information from external systems—such as legacy CRM platforms or local databases—into Salesforce. This process not only preserves data integrity but also supports better decision-making, enhances customer service, and enables business growth. A well-planned Salesforce data migration strategy is critical for unlocking the full benefits of the platform and ensuring a seamless transition. Salesforce Data Migration Plan: 9 Key Steps Need Help with Data Migration to Salesforce?We offer consulting services to help you navigate your data migration challenges, from auditing to strategy execution. Contact Tectonic today. Practical Salesforce Data Migration ExampleUsing Data Loader, here’s a step-by-step guide to migrating a list of companies. After logging into Salesforce and selecting the Accounts object, you map fields from your CSV file, execute the migration, and review the logs to ensure accuracy. 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

September 3, 2024in Data

03Sep

Salesforce for Public Loan Management

Public Loan Management Solutions: Optimized with Salesforce Technology In the dynamic world of financial services, public loan management has become increasingly important as organizations aim to improve efficiency, transparency, and borrower satisfaction. Leveraging cutting-edge technology is key to achieving these goals, and Salesforce offers a powerful platform for optimizing public loan management. This article explores how Salesforce’s capabilities can streamline and enhance various aspects of public loan management. The Role of Loan Boarding in Public Loan Management Loan boarding is a critical step where approved loans are entered into the system. This process typically includes data entry, document verification, and compliance checks. Salesforce’s customizable objects and automation features simplify this process by automating workflows, ensuring all necessary documents are collected and verified before the loan is boarded. Integrating external systems allows real-time data updates, minimizing errors and reducing manual intervention. Streamlining Handoff and Approval Processes Loan applications often require multiple approvals from stakeholders, which can be time-consuming and prone to delays. Salesforce facilitates efficient communication and collaboration through tools like Chatter, which allows instant messaging and file sharing. This ensures all stakeholders stay informed about application status changes, eliminating the need to switch between different platforms and speeding up the approval process. Disbursement Efficiency Timely fund disbursement is vital for maintaining borrower trust. Salesforce can automate disbursement processes by integrating payment gateways, accelerating fund transfers while providing borrowers with real-time updates on their disbursements. This enhances transparency and improves borrower satisfaction. Effective Management of Amortization Schedules Amortization schedules detail the repayment of loans over time, including both principal and interest. Salesforce’s reporting tools, combined with custom formulas, enable organizations to generate accurate, customized amortization schedules. These schedules can be easily updated if loan terms change, ensuring borrowers and lenders have up-to-date information. Simplifying Repayment Schedules Repayment schedules are essential for managing loan payments. Salesforce’s task management features allow organizations to automate reminders for upcoming payments, while borrowers can access personalized portals to view their schedules, promoting transparency and accountability. Customizable Loan Templates In public lending, creating flexible yet standardized loan templates is essential. Salesforce allows organizations to design customizable templates that meet both organizational policies and borrower needs, reducing onboarding time and improving efficiency. Comprehensive Document Management Managing loan-related documents is often challenging due to regulatory requirements and varying documentation needs. Salesforce’s integrated document management tools, such as Files and Content Libraries, provide secure storage and easy retrieval of documents, ensuring compliance and simplifying audits. Automating Interest Accruals and Invoicing Interest accruals require accurate tracking to ensure transparency for both lenders and borrowers. Salesforce’s invoicing automation ensures that billing cycles align with interest accruals, reducing administrative overhead and improving financial accuracy. Efficient Payment Processing and Waterfall Management Payment processing is essential for collecting repayments and adhering to waterfall structures, which determine how funds are allocated (e.g., to principal vs. interest). Salesforce integrates with NACHA/ACH for seamless payment processing and offers batch import capabilities for external payment records, improving cash flow management. Portfolio Management and Risk Assessment Managing a large portfolio of loans involves monitoring performance and assessing risks. Salesforce’s real-time analytics, reports, and dashboards provide managers with insights into portfolio performance, enabling data-driven decisions regarding portfolio adjustments, repayment patterns, and borrower risk. Enhancing Borrower Communication Consistent, clear communication is vital throughout the loan lifecycle, from initial inquiry to final repayment. Salesforce automates alerts and task assignments to ensure no critical communications are missed, keeping borrowers engaged and informed at every stage. Conclusion Salesforce technology offers a transformative approach to public loan management by enhancing operational efficiency, improving borrower experiences, and streamlining processes. Whether through automating document management, optimizing approval workflows, or managing payment cycles, Salesforce provides public lending organizations with the tools they need to deliver reliable, transparent, and efficient loan services to their constituents. By adopting Salesforce for public loan management, organizations not only improve internal operations but also elevate the borrower experience, ultimately contributing to community development and financial inclusion on a national scale. 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

September 3, 2024in Salesforce Financial Services Solutions, Salesforce Optimization

02Sep

Converting 15-Character IDs to 18-Character in Salesforce

In Salesforce, every record is assigned a unique Record ID, which is essential for managing data, writing formulas, and referencing records as an admin or developer. There are two types of Record IDs: a 15-character version and an 18-character version, each suited for different scenarios. Converting 15-character IDs to 18-character ones can be time-consuming when done manually, but several tools and methods can simplify the process, allowing for instant conversion with just a click. Understanding Salesforce Record IDs 15-Character Record ID The 15-character Record ID is case-sensitive and typically used in Salesforce’s user interface for tasks like editing records and generating reports. However, its case sensitivity can create issues with systems that do not recognize differences between uppercase and lowercase letters. 18-Character Record ID To mitigate case sensitivity issues, Salesforce offers an 18-character ID, which is used in APIs and tools such as Data Loader. This ID adds three additional characters to the 15-character version and is always returned by these tools during data exports. When to Use Each ID For consistency, the 18-character ID is preferable, especially when working with external systems. It’s best practice to use the 18-character ID in formulas, API calls, or any data comparisons to avoid errors caused by case sensitivity. Converting IDs Using a Formula Field in Salesforce Salesforce recommends creating a formula field with the CASESAFEID(Id) function to convert the 15-character ID to an 18-character ID. Here are some key points to consider: Implementation Steps: Once completed, this formula field will display the 18-character ID on relevant records. APIs and Software DevelopmentIf you need a more scalable or efficient solution, consider using Salesforce APIs or third-party tools for ID conversion. While online tools may suffice for small tasks, they can become unwieldy when handling hundreds or thousands of records in a CSV or Excel file. Streamlining ID Conversion with Xappex Tools Imagine the frustration of manually copying and pasting IDs! That’s where the XL-Connector and G-Connector from Xappex come into play. These tools work directly in Excel or Google Sheets, simplifying the ID conversion process. Instead of juggling multiple tools or navigating complex processes, you can seamlessly convert Salesforce IDs within your spreadsheet, saving significant time and effort. Using XL-Connector for ID Conversion in Excel Using G-Connector (Google Sheets) for ID Conversion G-Connector is Xappex’s integration tool for Google Sheets and Salesforce. If you haven’t installed it yet, do so and log in to your Salesforce org. The sheet will automatically update with the new 18-character IDs and provide links to open the records directly in Salesforce. Conclusion In summary, managing Salesforce Record IDs doesn’t have to be a hassle. While converting 15-character IDs to 18-character IDs is crucial for consistency, doing it manually can be tedious. With XL-Connector and G-Connector, you can streamline ID conversion with just a click in Excel or Google Sheets, making your workflow much more efficient. 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

September 2, 2024in Data, Google, Salesforce

02Sep

Einstein Knowledge Edits

Get Quick Revisions on Knowledge Articles with Einstein Knowledge Edits (Beta) Enhance your Knowledge articles quickly using Einstein generative AI with predefined revision styles. These styles can help improve grammar, conciseness, and readability. You can also customize these styles using the Prompt Builder to tailor the revisions to your business needs. This allows you to specify what information Einstein includes, how the content is formatted, and adjust the voice and tone. Where: This feature is available in Unlimited and Enterprise editions with the Einstein for Service add-on in Lightning Experience. Important: Einstein Knowledge Edits is currently in beta and is subject to Salesforce’s Beta Services Terms or a written Unified Pilot Agreement if executed by the Customer. Participation in this beta service is at the Customer’s discretion. Who: To access Knowledge Edits, you must have the following enabled: Agents also need the Prompt Template User and Einstein Knowledge Creation permission sets. How: To revise a Knowledge article: Quickly and effectively refine your Knowledge articles to meet your business standards with Einstein Knowledge Edits! 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

September 2, 2024in Generative AI

02Sep

Winter 25 Permission Set Groups

Salesforce’s Winter ’25 release introduces a host of updates across the platform, with a particular emphasis on security and user management improvements. Among these, the enhancements to Permission Set Groups stand out, offering more efficiency in managing user access and permissions. Let’s take a closer look at these updates and how they can benefit your Salesforce environment. What Are Permission Set Groups? Before diving into the new enhancements, it’s essential to understand Permission Set Groups. Salesforce created these groups to simplify the assignment of permissions to users. Instead of assigning multiple individual permission sets, administrators can bundle them into a Permission Set Group. This approach streamlines the process, making it easier to manage permissions for users with complex roles requiring access to multiple features and objects. What’s New in Winter ’25? The Winter ’25 release brings several key updates to Permission Set Groups, making them more robust and flexible. Here’s a breakdown of the major improvements: Key Benefits of the Winter ’25 Enhancements The Winter ’25 updates to Permission Set Groups offer several advantages for Salesforce admins and organizations: Getting Started To begin utilizing these new features, head to the Permission Set Group settings in Salesforce Setup. Review your current permission sets and explore how these new features can streamline your processes. The expiration date feature, in particular, will be valuable if you manage temporary roles or frequently changing project teams. Winter 25 Permission Set Groups The Winter ’25 Salesforce release delivers significant improvements to Permission Set Groups, equipping admins with enhanced tools to manage user permissions securely and efficiently. By incorporating these features into your Salesforce environment, you can strengthen security, optimize user access management, and ensure your organization operates smoothly. For a deeper dive into these updates, check the Salesforce Winter ’25 release notes or join discussions in Salesforce communities and forums. 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

September 2, 2024in Salesforce

01Sep

Transition from Salesforce CPQ to Revenue Cloud

As organizations look to optimize their revenue processes, Salesforce has been encouraging customers to transition from Salesforce CPQ (Configure, Price, Quote) to Revenue Cloud (Rev Cloud). However, while the advantages of Revenue Cloud are often highlighted, clear, actionable steps to make the migration worthwhile are not always readily available. After consulting with Salesforce teams and partners, it’s evident that many customers remain hesitant due to concerns about cost, disruption, and customization complexities.

September 1, 2024in Data, Salesforce, Salesforce CPQ, Salesforce Revenue Cloud

31Aug

AI and Big Data

Over the past decade, enterprises have accumulated vast amounts of data, capturing everything from business processes to inventory statistics. This surge in data marked the onset of the big data revolution. However, merely storing and managing big data is no longer sufficient to extract its full value. As organizations become adept at handling big data, forward-thinking companies are now leveraging advanced analytics and the latest AI and machine learning techniques to unlock even greater insights. These technologies can identify patterns and provide cognitive capabilities across vast datasets, enabling organizations to elevate their data analytics to new levels. Additionally, the adoption of generative AI systems is on the rise, offering more conversational approaches to data analysis and enhancement. This allows organizations to extract significant insights from information that would otherwise remain untapped in data stores. How Are AI and Big Data Related? Applying machine learning algorithms to big data is a logical progression for companies aiming to maximize the potential of their data. Unlike traditional rules-based approaches that follow explicit instructions, machine learning systems use data-driven algorithms and statistical models to analyze and detect patterns in data. Big data serves as the raw material for these systems, which derive valuable insights from it. Organizations are increasingly recognizing the benefits of integrating big data with machine learning. However, to fully harness the power of both, it’s crucial to understand their individual capabilities. Understanding Big Data Big data involves extracting and analyzing information from large quantities of data, but volume is just one aspect. Other critical “Vs” of big data that enterprises must manage include velocity, variety, veracity, validity, visualization, and value. Understanding Machine Learning Machine learning, the backbone of modern AI, adds significant value to big data applications by deriving deeper insights. These systems learn and adapt over time without the need for explicit programming, using statistical models to analyze and infer patterns from data. Historically, companies relied on complex, rules-based systems for reporting, which often proved inflexible and unable to cope with constant changes. Today, machine learning and deep learning enable systems to learn from big data, enhancing decision-making, business intelligence, and predictive analysis. The strength of machine learning lies in its ability to discover patterns in data. The more data available, the more these algorithms can identify patterns and apply them to future data. Applications range from recommendation systems and anomaly detection to image recognition and natural language processing (NLP). Categories of Machine Learning Algorithms Machine learning algorithms generally fall into three categories: The most powerful large language models (LLMs), which underpin today’s widely used generative AI systems, utilize a combination of these methods, learning from massive datasets. Understanding Generative AI Generative AI models are among the most powerful and popular AI applications, creating new data based on patterns learned from extensive training datasets. These models, which interact with users through conversational interfaces, are trained on vast amounts of internet data, including conversations, interviews, and social media posts. With pre-trained LLMs, users can generate new text, images, audio, and other outputs using natural language prompts, without the need for coding or specialized models. How Does AI Benefit Big Data? AI, combined with big data, is transforming businesses across various sectors. Key benefits include: Big Data and Machine Learning: A Synergistic Relationship Big data and machine learning are not competing concepts; when combined, they deliver remarkable results. Emerging big data techniques offer powerful ways to manage and analyze data, while machine learning models extract valuable insights from it. Successfully handling the various “Vs” of big data enhances the accuracy and power of machine learning models, leading to better business outcomes. The volume of data is expected to grow exponentially, with predictions of over 660 zettabytes of data worldwide by 2030. As data continues to amass, machine learning will become increasingly reliant on big data, and companies that fail to leverage this combination will struggle to keep up. Examples of AI and Big Data in Action Many organizations are already harnessing the power of machine learning-enhanced big data analytics: Conclusion The integration of AI and big data is crucial for organizations seeking to drive digital transformation and gain a competitive edge. As companies continue to combine these technologies, they will unlock new opportunities for personalization, efficiency, and innovation, ensuring they remain at the forefront of their industries. 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

August 31, 2024in Data, Enterprise, Generative AI, Google, Salesforce, Technology

30Aug

Detecting the Hot Chatbot

All the tech giants are eager to prove their chatbot is the hottest in the market. Like wild stallions fighting over the mares, Google, Meta, Microsoft, and OpenAI are competing to show that their AI models have the most momentum. Companies with built-in AI like Salesforce occupy a broader sector. Detecting the Hot Chatbot is the challenge for the consumer. Why Detecting the Hot Chatbot Matters These companies have poured immense resources—both talent and money—into developing their models and adding new features. Now, they’re keen to showcase that these investments are yielding results. What’s Happening In the past few dayss, several major players have released new usage statistics: The Big Picture Generative AI is still in its early stages, and the entire industry faces the challenge of proving that these products deliver real value—whether by capturing market share from the lucrative search industry or by helping companies save money through increased productivity. How are you Detecting the Hot Chatbot. In the short term, however, everyone is eager to show they’re leading the pack. TV commercials for generative AI are now common, with Meta, Google, and Microsoft all airing spots, although the effectiveness of these ads varies. Some companies even boast that their commercials were created using AI—not necessarily the most convincing selling point. Between the Lines The competition isn’t just about consumer popularity; it’s also spilling over into the battle to secure business customers. On Wednesday’s earnings call, Salesforce CEO Marc Benioff made a point of distinguishing Salesforce’s new Agentforce AI sales assistant from Microsoft’s Copilot offerings. “This is not Copilot,” Benioff said. “So many customers are disappointed with what they bought from Microsoft Copilot because they’re not getting the accuracy and response they want. Microsoft has let down many customers with AI.” Microsoft quickly responded in a comment to CNBC. “We are hearing something quite different from our Copilot for Microsoft 365 customers,” said corporate VP Jared Spataro. “When I talk to CIOs directly, and if you look at recent third-party data, organizations are betting on Microsoft for their AI transformation.” The Bottom Line The competition is heating up as tech giants vie to prove they have the upper hand in the AI race and the Hot Chatbot. Customers will ultimately decide. 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

August 30, 2024in Generative AI, Salesforce Financial Services Solutions, Salesforce for Nonprofits, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Implementation Services, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions

29Aug

Slack and AI and Time

The longer you stay at an organization, the more Slack channels you find yourself entangled in, making it increasingly difficult to cut through the noise. Even at Fortune, the accumulation of channels and the platform’s familiar clicking notifications are ever-present, with writers engaging in conversations ranging from breaking news to local food tips and football discussions. Managing Slack can feel like a job in itself. However, as Slack incorporates AI to streamline tasks and minimize busy work, users now face the challenge of deciding how to use their newly freed-up time. Slack’s AI introduces a new time dilemma. By simplifying the once time-consuming task of sifting through messages for critical information, the platform’s new “recap” function provides workers with a summary of incoming messages and highlights what’s most important. Companies like OpenAI, Spotify, and Uber are also optimizing their workflows by integrating Slack with other tools, such as the work management app Asana. AI is being utilized in various ways across Europe as well. Slack CEO Denise Dresser, seven months into her role at the Salesforce-owned messaging app, noted a Workforce Labs study showing that U.K. users are leveraging Slack’s writing assistant feature, while French users are primarily using it for summarization. In Germany, 36% of desk workers are employing AI to automate their tasks more regularly than their European counterparts. The initial results are promising. Slack reports that its AI tool has saved users an average of 97 minutes per week in administrative time. However, this has led to a new challenge: many workers are unsure how to best use their extra time. “They were still focusing on the work of work, which means we haven’t yet made the operational and mindset shift to start doing new things,” Dresser shared with Fortune, reflecting on the Workforce Labs findings. This situation highlights the next significant discussion about AI’s impact on work—how it will enhance productivity, replace roles, and potentially create new ones. There’s also ongoing debate about whether AI could render the traditional five-day workweek obsolete, offering people the option to enjoy more leisure time or take on more work. Dresser, for her part, plans to use her freed-up time to engage more with clients and is optimistic about AI’s potential to revolutionize workflows. “I personally think AI is going to be one of the most significant enhancers of human productivity we’ve ever seen, and I believe it will truly unlock human potential,” Dresser says. “It will likely create more jobs. We may see entirely new roles emerge, and I think that’s going to be exciting.” 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

August 29, 2024in Salesforce Slack

29Aug

Salesforce Einstein SDR and Sales Coach Agents

Salesforce Introduces Autonomous AI Sales Agents: Einstein SDR Agent and Einstein Sales Coach Agent Salesforce, the leading CRM for sales, has announced two new fully autonomous AI sales agents: Einstein Sales Development Rep (SDR) Agent and Einstein Sales Coach Agent. These groundbreaking agents, set to be generally available in October, are designed to help sales teams accelerate growth by handling key sales functions autonomously. Built on the Einstein 1 Agentforce Platform, these agents are poised to transform how sales teams operate, allowing them to focus on more complex deals while automating routine tasks. Einstein SDR Agent: Automating Pipeline 24/7 The Einstein SDR Agent autonomously engages with inbound leads, nurturing pipelines around the clock. Unlike traditional chatbots, which can only respond to pre-programmed queries, the Einstein SDR Agent uses advanced AI to make decisions, prioritize actions, and handle various lead interactions. Whether it’s answering product questions, managing objections, or booking meetings, the SDR Agent ensures that every response is trusted, accurate, and personalized, grounded in your company’s CRM and external data. Key features of the Einstein SDR Agent include: Einstein Sales Coach Agent: Enhancing Seller Performance Through AI-Driven Role-Play Einstein Sales Coach Agent takes sales enablement to the next level by autonomously engaging in role-plays with sellers. Whether simulating a buyer during discovery, pitch, or negotiation calls, the Sales Coach Agent uses generative AI to convert text into speech, providing a realistic training environment. This agent helps sellers refine their skills by offering personalized feedback based on real deal contexts. Key features of the Einstein Sales Coach Agent include: Accenture’s Collaboration with Salesforce Accenture, a global leader in business consulting, will leverage these new AI agents to enhance deal team effectiveness, scale support for more deals, and allow their sales teams to concentrate on the most complex transactions. According to Sara Porter, Global Sales Excellence Lead at Accenture, these AI-driven tools will empower their sales practitioners with advanced technology and processes to drive more intelligent customer conversations and accelerate revenue. Salesforce’s Vision for AI in Sales Salesforce sees these autonomous AI agents as a key part of the future of sales. By integrating AI that can generate high-quality pipeline and provide personalized coaching, sales teams can focus on higher-value deals and better prepare for them. Ketan Karkhanis, EVP and GM of Sales Cloud, emphasizes that every AI conversation must translate into ROI, and these new agents are designed to do just that by augmenting human sales teams to accelerate growth. Availability Both Einstein SDR Agent and Einstein Sales Coach Agent will be generally available in October, with additional functionalities expected to be rolled out throughout the year. Learn More: Note: Any unreleased services or features mentioned here are not currently available and may be subject to changes. Customers should base their purchasing decisions from Salesforce on currently available features. 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

August 29, 2024in Agentforce Platform, Generative AI, Salesforce Einstein

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