Salesforce Data Archives - gettectonic.com - Page 6
Generative AI for Tableau
11Jul

Generative AI for Tableau

Tableau’s first generative AI assistant is now generally available. Generative AI for Tableau brings data prep to the masses. Earlier this month, Tableau launched its second platform update of 2024, announcing that its first two GenAI assistants would be available by the end of July, with a third set for release in August. The first of these, Einstein Copilot for Tableau Prep, became generally available on July 10. Tableau initially unveiled its plans to develop generative AI capabilities in May 2023 with the introduction of Tableau Pulse and Tableau GPT. Pulse, an insight generator that monitors data for metric changes and uses natural language to alert users, became generally available in February. Tableau GPT, now renamed Einstein Copilot for Tableau, moved into beta testing in April. Following Einstein Copilot for Tableau Prep, Einstein Copilot for Tableau Catalog is expected to be generally available before the end of July. Einstein Copilot for Tableau Web Authoring is set to follow by the end of August. With these launches, Tableau joins other data management and analytics vendors like AWS, Domo, Microsoft, and MicroStrategy, which have already made generative AI assistants generally available. Other companies, such as Qlik, DBT Labs, and Alteryx, have announced similar plans but have not yet moved their products out of preview. Tableau’s generative AI capabilities are comparable to those of its competitors, according to Doug Henschen, an analyst at Constellation Research. In some areas, such as data cataloging, Tableau’s offerings are even more advanced. “Tableau is going GA later than some of its competitors. But capabilities are pretty much in line with or more extensive than what you’re seeing from others,” Henschen said. In addition to the generative AI assistants, Tableau 2024.2 includes features such as embedding Pulse in applications. Based in Seattle and a subsidiary of Salesforce, Tableau has long been a prominent analytics vendor. Its first 2024 platform update highlighted the launch of Pulse, while the final 2023 update introduced new embedded analytics capabilities. Generative AI assistants are proliferating due to their potential to enable non-technical workers to work with data and increase efficiency for data experts. Historically, the complexity of analytics platforms, requiring coding and data literacy, has limited their widespread adoption. Studies indicate that only about one-quarter of employees regularly work with data. Vendors have attempted to overcome this barrier by introducing natural language processing (NLP) and low-code/no-code features. However, NLP features have been limited by small vocabularies requiring specific business phrasing, while low-code/no-code features only support basic tasks. Generative AI has the potential to change this dynamic. Large language models like ChatGPT and Google Gemini offer extensive vocabularies and can interpret user intent, enabling true natural language interactions. This makes data exploration and analysis accessible to non-technical users and reduces coding requirements for data experts. In response to advancements in generative AI, many data management and analytics vendors, including Tableau, have made it a focal point of their product development. Tech giants like AWS, Google, and Microsoft, as well as specialized vendors, have heavily invested in generative AI. Einstein Copilot for Tableau Prep, now generally available, allows users to describe calculations in natural language, which the tool interprets to create formulas for calculated fields in Tableau Prep. Previously, this required expertise in objects, fields, functions, and limitations. Einstein Copilot for Tableau Catalog, set for release later this month, will enable users to add descriptions for data sources, workbooks, and tables with one click. In August, Einstein Copilot for Tableau Web Authoring will allow users to explore data in natural language directly from Tableau Cloud Web Authoring, producing visualizations, formulating calculations, and suggesting follow-up questions. Tableau’s generative AI assistants are designed to enhance efficiency and productivity for both experts and generalists. The assistants streamline complex data modeling and predictive analysis, automate routine data prep tasks, and provide user-friendly interfaces for data visualization and analysis. “Whether for an expert or someone just getting started, the goal of Einstein Copilot is to boost efficiency and productivity,” said Mike Leone, an analyst at TechTarget’s Enterprise Strategy Group. The planned generative AI assistants for different parts of Tableau’s platform offer unique value in various stages of the data and AI lifecycle, according to Leone. Doug Henschen noted that the generative AI assistants for Tableau Web Authoring and Tableau Prep are similar to those being introduced by other vendors. However, the addition of a generative AI assistant for data cataloging represents a unique differentiation for Tableau. “Einstein Copilot for Tableau Catalog is unique to Tableau among analytics and BI vendors,” Henschen said. “But it’s similar to GenAI implementations being done by a few data catalog vendors.” Beyond the generative AI assistants, Tableau’s latest update includes: Among these non-Copilot capabilities, making Pulse embeddable is particularly significant. Extending generative AI capabilities to work applications will make them more effective. “Embedding Pulse insights within day-to-day applications promises to open up new possibilities for making insights actionable for business users,” Henschen said. Multi-fact relationships are also noteworthy, enabling users to relate datasets with shared dimensions and informing applications that require large amounts of high-quality data. “Multi-fact relationships are a fascinating area where Tableau is really just getting started,” Leone said. “Providing ways to improve accuracy, insights, and context goes a long way in building trust in GenAI and reducing hallucinations.” While Tableau has launched its first generative AI assistant and will soon release more, the vendor has not yet disclosed pricing for the Copilots and related features. The generative AI assistants are available through a bundle named Tableau+, a premium Tableau Cloud offering introduced in June. Beyond the generative AI assistants, Tableau+ includes advanced management capabilities, simplified data governance, data discovery features, and integration with Salesforce Data Cloud. Generative AI is compute-intensive and costly, so it’s not surprising that Tableau customers will have to pay extra for these capabilities. Some vendors are offering generative AI capabilities for free to attract new users, but Henschen believes costs will eventually be incurred. “Customers will want to understand the cost implications of adding these new capabilities,”

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July 11, 2024in Generative AI, Salesforce Data Cloud
Salesforce Data and AI Prevent Food Waste
05Jul

Salesforce Data and AI Prevent Food Waste

FareShare’s Tech-Driven Fight Against Food Waste and Insecurity Every year, around 10 million tons of perfectly edible surplus food goes to waste in the UK, while millions struggle to afford to have enough to eat. This waste not only exacerbates food poverty but also has a significant environmental impact, with greenhouse gases from rotten or wasted food accounting for about half of all global food system emissions. Salesforce Data and AI Prevent Food Waste. Charity FareShare is acutely aware of the severity of the situation. CEO George Wright emphasizes, “If food waste was a country, it would be the third biggest producer of global greenhouse gas emissions behind America and China.” Globally, 30% of food is wasted, and in the UK, it’s 25%, encompassing food thrown away at home, ploughed back into the ground, or wasted in the hospitality and retail industries. FareShare, which started 30 years ago, originally aimed to tackle this issue by redistributing surplus food that would otherwise go to waste. Now, FareShare operates 35 warehouses across the United Kingdom, employing around 600 people and 15,000 volunteers. They collect surplus food from 700 food companies and work with 8,500 charities to redistribute it to school clubs, community centers, and faith groups. Growth Amid Crisis Although FareShare had grown into a national organization, it was still relatively small when COVID-19 hit. Wright explains, “FareShare was about £3 million in terms of fundraising. COVID came and everything boomed.” During the pandemic, demand for FareShare’s services skyrocketed. Collaborations with high-profile figures like footballer Marcus Rashford brought more focus and support. The charity’s fundraising surged from £3 million to as high as £75 million before stabilizing at around £23 million. The amount of food distributed increased from 5,000 tons in the early days to 55,000 tons. The cost-of-living crisis has further exacerbated food insecurity, with the number of people in need more than doubling from six million to 13 million. Wright notes, “The bottom 20% of our society is economically cut adrift. Therefore, we’ve seen demand explode for more and more food. Last year, we did 55,000 tons, that’s 130 million meals. We could easily double or treble that if we had access to the food and the finance.” Salesforce Data and AI Prevent Food Waste To meet this growing demand, FareShare is ramping up its use of technology, particularly Salesforce. Over the past seven years, FareShare has utilized Salesforce’s Sales and Service Cloud to manage customer contacts and some food offers. Recently, FareShare conducted a full review of its operations and technology use, deciding to significantly increase its investment in Salesforce. FareShare is now exploring how Nonprofit Cloud and Data Cloud can benefit the organization. Wright explains, “Why reinvent the wheel? If there’s something great out there, use it and use it quickly.” Nonprofit Cloud provides FareShare with a unified view of its supporters, enabling better management of food and monetary donors. Data Cloud offers a centralized data source, replacing disparate spreadsheets, to improve data management. The aim is to have a holistic view of supporters, including donation history and preferences, to enhance their experience and demonstrate the impact of their contributions. AI components within Salesforce further boost productivity by suggesting tailored communications, drastically reducing the time required for tasks like crafting donor emails. Future Prospects FareShare is in the early stages of integrating Nonprofit Cloud and Data Cloud, aiming to establish these key systems before expanding into the full Salesforce ecosystem. Wright emphasizes the broader benefits of this partnership: “We’re not just getting the tools, we’re getting ways of working.” The primary objective for the additional Salesforce technology is improving fundraising. FareShare needs enhanced tech to scale its supporter base, generate more income, and effectively communicate the impact of donations. Wright envisions leveraging the wider Salesforce ecosystem to connect surplus food with charities in need, optimizing logistics to maximize social impact and minimize costs. The Bigger Picture FareShare sees AI playing a crucial role in tackling food waste and sustainability, potentially linking food sources and surplus across the country to charities in need. Wright concludes, “There’s more food wasted than we tackle and more charities that need more food. If we could connect those with a logistics solution, we could optimize for maximum use of food, minimum use of miles to get it to them. Maximum social impact, minimal cost. There’s a big tech opportunity there.” By harnessing the power of technology and strategic partnerships, FareShare aims to continue its mission to reduce food waste and food insecurity, creating a more sustainable and equitable future. Salesforce Data and AI Prevent Food Waste 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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July 5, 2024in Salesforce for Nonprofits
RevOps Sute for Salesforce Data Management
03Jul

RevOps Suite for Salesforce Data Management

Traction Complete Launches Revolutionary “RevOps Data Management Suite for Salesforce” In an era where artificial intelligence (AI) is revolutionizing business, Traction Complete is proud to announce the launch of “The RevOps Data Management Suite for Salesforce.” This groundbreaking suite is the first data management solution designed specifically for Revenue Operations professionals, empowering users to fully leverage their data by ensuring it is clean, connected, and ready for AI adoption. RevOps Sute for Salesforce Data Management. Importance of Data Integrity “The importance of clean and connected data can’t be stressed enough, especially in the age of AI. Without a solid foundation of reliable data, businesses are navigating in the dark, unable to make strategic decisions.” David Nelson, CEO of Traction Complete RevOps Suite for Salesforce Data Management Stephen Daniels, Vice President of Revenue Operations at Cresta, echoes this sentiment: “There is a cost to bad data. If we didn’t have a solution like Traction Complete in the first place to scale off, we would be building on a bad foundation that would cause hundreds of thousands of dollars of headaches in the future.” The Impact of Poor Data Poor data is more than just a nuisance; it’s a significant barrier to success. And it is expensive. It leads to distrust in CRM systems and lost productivity, ultimately impacting business revenue. Traction Complete’s mission is to tackle these challenges head-on, ensuring that data is accurate and seamlessly integrated across the Salesforce platform. This foundation enables businesses to adopt the latest technology seamlessly. Recent findings from McKinsey highlight the critical role of data quality in AI adoption: “Fifty-six percent of companies say ‘inaccuracy’ is the biggest risk posed by adopting generative AI. Yet only 32% of companies have systems in place for mitigating such inaccuracies.” Expertise and Innovation Traction Complete, born from the recently Salesforce-acquired Traction on Demand, draws on over 1.4 million hours of consulting experience to build trusted data management solutions that improve data quality. “At the pace that AI and machine learning are expanding and changing how we operate, businesses can’t afford to overlook the importance of data quality. Any businesses not setting their data foundation right now will be left behind,” adds Nelson. The Future of Data Management As organizations continue to navigate the complexities of digital transformation, the message is clear: the time to invest in data management is now. With the RevOps Data Management Suite for Salesforce, Traction Complete is leading the way, providing the tools necessary for businesses to thrive in the age of AI and beyond. 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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July 3, 2024in Generative AI, Salesforce, Salesforce Tableau
Data Cloud - Facts and Fiction
30Jun

Data Cloud – Facts and Fiction

Salesforce Data Cloud: Debunking Myths and Unveiling Facts If you’ve been active on LinkedIn, attending recent Salesforce events, or even watching a myriad of sporting events, you’ve likely noticed that Salesforce has evolved beyond just CRM. It’s now CRM + DATA + AI. Although Salesforce has always incorporated these elements, with Einstein AI and data being integral to CRM, the latest innovation lies in the Data Cloud. Data Cloud – Facts and Fiction Data Cloud, formerly known as Salesforce Genie, represents Salesforce’s latest evolution, focusing on enabling organizations to scale and grow in an era where data is the new currency. It is the fastest-growing product in Salesforce’s history, pushing new boundaries of innovation by providing better access to data and actionable insights. As Data Cloud rapidly develops, potential clients often have questions about its function and how it can address their challenges. Here are some common myths about Data Cloud and the facts that debunk them. Myth: Data Cloud Requires MuleSoft Fact: While MuleSoft Anypoint Platform can accelerate connecting commonly used data sources, it is not required for Data Cloud. Data Cloud can ingest data from multiple systems and platforms using several out-of-the-box (OOTB) connectors, including SFTPs, Snowflake, AWS, and more. Salesforce designs its solutions to work seamlessly together, but Data Cloud also offers connector options for non-Salesforce products, ensuring flexibility and integration capabilities beyond the Salesforce ecosystem. Myth: Data Cloud Will De-Duplicate Your Data Fact: Harmonizing data in Data Cloud means standardizing your data model rather than de-duplicating it. Data Cloud maps fields to a common data model and performs “Identity Resolution,” using rules to match individuals based on attributes like email, address, device ID, or phone number. This process creates a Unified Individual ID without automatically de-duplicating Salesforce records. Salesforce intentionally does not function as a Master Data Management (MDM) system. Myth: Data Cloud Will Create a Golden Record Fact: Data Cloud does not create a single, updated record synchronized across all systems (a “golden record”). Instead, it retains original source information, identifies matches across systems, and uses this data to facilitate engagements, known as the Data Cloud Key Ring. For instance, it can recognize an individual across different systems and provide personalized experiences without overwriting original data. Myth: You Can’t Ingest Custom Objects from Salesforce Fact: During the data ingestion process, you can select which objects to ingest from your Salesforce CRM Org, including custom objects. The system identifies the API names of the objects and fields from the data source. Ensuring the Data Cloud integration user has access to the necessary information (similar to assigning Permission Sets) allows you to ingest and map custom objects accordingly. Myth: Data Cloud Requires a Data Scientist and Takes a Long Time to Implement Fact: While implementing Data Cloud involves ingesting, mapping data, running identity resolution, and generating insights, it does not necessarily require a data scientist. Skilled Salesforce Admins can often manage data integration from third-party applications. Effective Data Cloud implementation requires thorough planning and preparation, akin to prepping a room before painting. Identifying use cases and understanding data sources in advance can streamline the implementation process. Myth: Data Cloud is Expensive Fact: Data Cloud operates on a consumption-based pricing model. Engaging in strategic conversations with Salesforce Account Executives can help understand the financial implications. Emphasizing the value of a comprehensive data strategy and considering the five V’s of Big Data—Volume, Variety, Veracity, Value, and Velocity—ensures that your data supports meaningful business outcomes and KPIs. In Summary Salesforce Data Cloud represents a significant evolution in managing and leveraging data within your organization. It helps break down data silos, providing actionable insights to drive organizational goals. Despite initial misconceptions, implementing Data Cloud does not require extensive coding skills or a data scientist. Instead, thorough planning and preparation can streamline the process and maximize efficiency. Understanding the value of a comprehensive data strategy is crucial, as data becomes the new currency. Addressing the five V’s of Big Data ensures that your data supports meaningful business outcomes and KPIs. At Tectonic, our team of certified professionals is ready to assist you on this journey. We offer a Salesforce Implementation Solution package to help you get hands-on with the tool and explore its capabilities. Whether you need help understanding your data sources or defining use cases, our data practice can provide the expertise you need. Talk to Tectonic about Data Cloud and discover how our tailored solutions can help you harness the full potential of your 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 30, 2024in Salesforce Data Cloud
Gearset's Features Empower Salesforce Teams
30Jun

Gearset’s Features Empower Salesforce Teams

Gearset, a leading Salesforce DevOps platform, is introducing a new suite of features aimed at accelerating and improving reliable release management for Salesforce teams. Gearset’s Features Empower Salesforce Teams. These enhancements, including Archiving, expanded Compare and Deploy capabilities, and Flow Navigator, address critical user feedback and deliver tools for optimizing data and enhancing visibility throughout the DevOps lifecycle. According to Matt Dickens, CPO and co-founder of Gearset, effective DevOps strategies rely on accurate and consistent data to deploy applications at the pace of innovation. The latest features empower teams to manage and apply relevant data in real-time, supporting organizations in navigating continuous changes to drive business growth on Salesforce confidently. Gearset Archiving provides organizations with control over Salesforce data storage by consolidating backup, sandbox seeding, and monitoring solutions into a unified platform. By eliminating outdated data from Salesforce orgs, enterprises can reduce storage costs and prevent performance degradation. Key benefits of Archiving include: Dickens explains that Gearset Archiving allows teams to safely store obsolete or legacy data off-platform while maintaining accessibility for future use, without impacting org performance. Maintaining clean and consistent metadata across the organization is crucial for Gearset. Recognizing limitations in Salesforce deployment tools, Gearset’s enhanced Compare and Deploy capability now enables DevOps teams to quickly analyze and compare metadata, facilitating efficient issue identification and resolution during deployments. This update streamlines operations, ensuring faster delivery of business-critical functionality to maximize ROI. Gearset’s Flow Navigator tool introduces visual comparison capabilities for Salesforce deployments, addressing challenges with Flow versioning and enhancing transparency in deployment processes. By presenting flows in their native Salesforce format, Flow Navigator enables teams to better manage deployments and mitigate potential conflicts. Dickens emphasizes that Gearset remains committed to user-driven innovation, aiming to continuously address Salesforce challenges and deliver solutions that save time, reduce stress, and improve efficiency for all customers. In summary, Gearset’s latest release underscores its dedication to empowering Salesforce teams with robust tools tailored to enhance efficiency and reliability across the DevOps lifecycle. 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 30, 2024in Data, Enterprise, Salesforce
Breaking Down Data Silos with Zero Copy Data Federation
27Jun

Breaking Down Data Silos with Zero Copy Data Federation

Siloed data slows communication, delays data-driven insights, and creates extra work. Learn ways for Breaking Down Data Silos with Zero Copy Data Federation. Overview In today’s data-driven business world, organizations amass vast amounts of data across various touchpoints, centralizing it in data warehouses or lakes to derive business insights. While this data is primarily used for analytics and machine learning, it remains largely inaccessible to business users in Sales, Service, and Marketing, hindering their ability to make data-driven decisions. To address this challenge, Salesforce and Amazon have collaborated to create Zero Copy Data Federation between Salesforce Data Cloud and Amazon Redshift. This integration empowers businesses by providing seamless access to Redshift data within Salesforce Data Cloud, enhancing data integration, and enabling real-time insights without the need for data replication. Benefits of Zero Copy Data Federation This new solution allows businesses to: Salesforce Data Cloud Salesforce Data Cloud unifies all company data into the Einstein 1 Platform, offering a comprehensive 360-degree view of the customer. It integrates diverse datasets such as telemetry data and web engagement data, creating a holistic customer profile that is easy to access and understand. This unified view enables Sales, Service, and Marketing teams to build personalized customer experiences, drive data-driven actions, and leverage trusted AI across all Salesforce apps. Amazon Redshift Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service designed for efficient data analysis using existing business intelligence tools. It offers superior price-performance compared to traditional data warehousing solutions and supports datasets ranging from a few hundred gigabytes to petabytes. Redshift’s AI-powered massively parallel processing (MPP) architecture facilitates quick, cost-effective business decision-making. Zero Copy Data Federation Zero Copy Data Federation, a feature of Salesforce Data Cloud, enables secure, real-time access to Redshift data without copying it. This capability maintains data in its original location, eliminating replication overhead and ensuring current information access, thus enhancing data integration while preserving data integrity and efficiency. Data federated from Amazon Redshift is represented as a native data cloud object, powering various Data Cloud features, including marketing segmentation, activations, and process automation. This allows businesses to enrich unified customer profiles in Salesforce Data Cloud with transactional data from Redshift, gaining insights, harnessing predictive and generative AI, and delivering highly personalized experiences. Setting Up Zero Copy Data Federation To configure Zero Copy Data Federation in Salesforce Data Cloud: Use Cases Zero Copy Data Federation enables various use cases: Conclusion Zero Copy Data Federation between Salesforce Data Cloud and Amazon Redshift empowers businesses to dismantle data silos, enhance customer experiences, and drive operational efficiencies. By enabling real-time access to Redshift data within Salesforce Data Cloud, organizations can make informed decisions, personalize customer interactions, and optimize resources across various functions. This integration sets a new benchmark for data-driven business success in the digital age. Check out the Salesforce Zero Copy Data Federation announcement for more details. 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 27, 2024in Einstein 1 Platform, Generative AI, Salesforce Data Cloud
Data Cloud Features and Connectors
27Jun

Data Cloud Features and Connectors

Leveraging New Features and Connectors in Salesforce’s Data Cloud Salesforce’s Data Cloud is rapidly evolving with continuous updates and new functionalities, including AI advancements. Keeping pace with these changes can be challenging. This insight explores the latest features and how to effectively utilize them to enhance your Salesforce environment. Data Cloud Features and Connectors. Are CDP and data Cloud the same? Data Cloud is more than just your traditional CDP. It’s the only data platform native to the world’s #1 AI CRM. This means that marketers can quickly access and easily action on unified data – from across the entire business – to drive growth and increase customer lifetime value. Introducing the Feature Manager The Winter ‘24 update introduced the Feature Manager, a powerful tool that simplifies managing Data Cloud’s features. It allows you to easily enable, disable, and monitor AI and beta features within the platform. Where to Find It You can find the Feature Manager in the navigation pane under the Features section, providing a centralized and intuitive way to manage your Data Cloud capabilities. Enable Data Cloud Features Using the Feature Manager, you can enable Data Cloud features. This screen is visible only when there are one or more features to enable or disable. Advantages of Enabling Beta Features One standout capability of the Feature Manager is its support for enabling beta versions of connectors and AI features. Here’s why you should consider using beta features: Early Access to Innovations Beta features give you early access to the latest tools, allowing you to experiment with new functionalities before their official release. This can provide a competitive edge and enhance your Salesforce environment. Feedback and Influence Using beta features allows you to provide valuable feedback to Salesforce, helping shape the final versions of these tools. This feedback loop ensures that the features are refined to meet user needs. How to Enable Beta Features Enable and Disable Data Cloud AI and Beta Features with Feature Manager Easily enable, disable, and monitor Data Cloud AI and beta features using the new Feature Manager, found in the navigation pane under Features. Where: This change applies to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Steps to Enable Beta Features: Real-World Example: Adobe Marketo Connector A prime example of a beta feature available in the Winter ’24 release is the Adobe Marketo connector. This connector is currently in beta, allowing users to enable and test it through the Feature Manager. Steps to Enable the Adobe Marketo Connector By enabling and testing this connector, you can explore its functionalities and see how it integrates with your existing Salesforce setup. Staying Updated with Salesforce Data Cloud Keeping up with the latest features in Salesforce Data Cloud doesn’t have to be overwhelming. With tools like the Feature Manager, you can easily manage, enable, and experiment with new features and connectors, including those currently in beta. This not only keeps you at the forefront of innovation but also allows you to directly influence the development of these tools. Dive in, utilize the new capabilities, and make the most of what Salesforce Data Cloud has to offer. 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 27, 2024in Salesforce Data Cloud
Salesforce Validation Rules
26Jun

Salesforce Validation Rules

Essential Validation Rules for Salesforce Admins In this post, five essential validation rules that Salesforce admins should implement in their clients’ Salesforce orgs are discussed. Improve the quality of your data using validation rules. Validation rules verify that the data a user enters in a record meets the standards you specify before the user can save the record. Before digging into the specific rules this insight will highlight, let’s briefly review what validation rules are. What are Validation Rules in Salesforce? Validation rules in Salesforce are used to enforce data quality and consistency by validating the data entered by users before it is saved to the database. These rules consist of expressions or formulas that check the data against specified, required criteria. A validation rule can contain a formula or expression that evaluates the data in one or more fields and returns a value of “True” or “False”. Validation rules also include an error message to display to the user when the rule returns a value of “True” due to an invalid value. After you have defined validation rules: You can specify the error message to display when a record fails validation and where to display it. For example, your error message can be “The close date must occur after today’s date.” You can choose to display it near a field or at the top of the page. Like all other error messages, validation rule errors display in red text and begin with the word “Error”. 5 Validation Rules Examples Here are some important validation rules to configure in your Salesforce org: 1. The Account Number Must Be Numeric To ensure that users enter only numeric values in the Account Number field of the Account object, configure the following validation rule: plaintextCopy codeOR( ISBLANK(AccountNumber), NOT(ISNUMBER(AccountNumber)) ) If a text value is entered in the Account Number field, an error message will appear, as shown below: 2. Annual Revenue Range To restrict accounts with an annual revenue greater than a specific number, use the following rule: plaintextCopy codeOR( AnnualRevenue < 0, AnnualRevenue > 1000000 ) If the annual revenue entered exceeds 1 million, an error will be triggered, as illustrated below: 3. Close Date Must Be a Future Date To prevent sales reps from selecting past dates in the Opportunity Close Date field, implement this validation rule: plaintextCopy codeCloseDate < TODAY() Entering a past date in the Opportunity Close Date field will result in the following error: 4. Prevent Open Cases from Being Reset to New To stop service agents from changing the status of open cases to “New,” configure the following validation rule: plaintextCopy codeAND( ISCHANGED(Status), NOT(ISPICKVAL(PRIORVALUE(Status), “New”)), ISPICKVAL(Status, “New”) ) Attempting to reset the status of open cases to “New” will produce this error message: 5. Blank Email or Mobile To ensure that at least one communication detail (email or mobile number) is available on a contact record, use this validation rule: plaintextCopy codeAND( ISBLANK(Email), ISBLANK(MobilePhone) ) Leaving both email and mobile fields empty will generate the following error: Conclusion These validation rules are essential for maintaining data quality in your Salesforce org. If you have additional validation rules in mind, please share them in the comments below so everyone can benefit. 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 26, 2024in Salesforce Implementation Services, Salesforce Managed Services
Changes in Advertising Changing CRMs
22Jun

Changes in Advertising Changing CRMs

Oracle announced last week that it is exiting the advertising business and will sunset its adtech by September 30. While the announcement is not surprising given the massive layoffs in 2022 affecting Oracle Advertising teams, the rapidity of Oracle Advertising’s decline is a clear indicator of how swiftly the digital advertising landscape can evolve. This move is likely just the first of many significant Changes in Advertising Changing CRMs. What happened? Oracle Advertising faced challenges beginning in 2018 and never managed to recover. Several forces related to data deprecation adversely impacted the business: Changes in Advertising Changing CRMs Retooling its acquisitions to function in a consent-driven and regulated environment would have required significant investment from Oracle. Given its track record with privacy law compliance, this would have been a daunting task, necessitating both rapid innovation and market trust in its solutions. What does this mean for the advertising ecosystem? Oracle’s exit from adtech marks a significant shift in the advertising ecosystem. The sharp decline in advertising revenue from $2 billion in 2022 to $300 million in 2024 suggests a major miscalculation by Oracle. Without demand- or supply-side platforms (unlike Google, Microsoft, and Amazon) and lacking a large audience base (unlike Meta, Disney, and Netflix), Oracle’s benefits as an adtech partner or acquirer were unclear. The key question now is whether Oracle’s intellectual property will find new ownership and continue in some form. What does this mean for the marketing ecosystem? The broader marketing ecosystem is likely to see more shifts as major players adapt to the new landscape. Leading martech vendors like Adobe and Salesforce have already transitioned from DMPs to CDPs. Adobe Real-Time CDP and Salesforce Data Cloud for Marketing are gaining market share, while Oracle has struggled in the B2C martech space. Oracle’s decision to cut investments in martech and adtech has significantly impaired its B2C market efforts, with products like Responsys failing to gain the traction that Eloqua has in the B2B space. Oracle also announced it will sunset related B2C marketing products like Oracle Maxymiser in the coming months. These changes are just the beginning of a broader transformation in digital advertising, driven by evolving privacy standards, consumer expectations, and technological advancements. This marks the dawn of a new era in which agility and compliance will be key to success in the digital advertising and marketing landscapes. 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 22, 2024in Salesforce Data Cloud
Salesforce and MySQL
18Jun

Salesforce and MySQL

Salesforce CRM houses a wealth of customer data, encompassing interactions, leads, and purchase histories. However, without proper organization, these insights risk being lost in the shuffle. Get a handle on data with Salesforce and MySQL. MySQL, a free, open-source relational database management system (RDBMS) that acts as a digital filing cabinet for structured data, including customer information. Integrating Salesforce CRM with MySQL presents a compelling solution by establishing a seamless bridge between the two systems. This integration enables businesses to efficiently transfer customer data from Salesforce into MySQL, ensuring centralized, accessible, and analyzable data. Imagine having all customer data neatly organized within a single, searchable database, facilitating holistic insights that empower informed decision-making and personalized marketing campaigns. Let’s explore the significant benefits of integrating Salesforce CRM and MySQL, and how this synergy can revolutionize your business operations. Benefits of Integrating Salesforce CRM and MySQL How to Integrate Salesforce CRM and MySQL Integrating Salesforce CRM with MySQL involves leveraging Salesforce APIs for secure data communication and synchronization. Here’s a step-by-step approach: Common Challenges and Solutions Conclusion Integrating Salesforce CRM with MySQL represents a transformative approach to streamline data management and enhance operational efficiency. By combining Salesforce’s robust CRM capabilities with MySQL’s flexible database management, businesses can unlock real-time insights, improve customer engagement, and drive strategic growth initiatives seamlessly. Embrace the power of Salesforce CRM and MySQL integration to stay competitive in today’s data-driven landscape effortlessly. 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 18, 2024in Salesforce
Life Sciences Cloud Organizing Clinical Trials and Outreach
18Jun

Life Sciences Cloud Organizing Clinical Trials and Outreach

Salesforce CRM announced today its expansion into the life sciences sector with the launch of a new cloud platform designed to enhance engagement between medical technology providers, pharmaceutical companies, patients, and healthcare professionals. The Salesforce Life Sciences Cloud platform, now available, integrates advanced artificial intelligence capabilities from the Einstein 1 Platform. These AI capabilities aim to streamline clinical operations and processes by harnessing insights from all aspects of organizational data. Life Sciences Cloud Organizing Clinical Trials and Outreach. One of the primary benefits of the Life Sciences Cloud platform is its ability to optimize clinical trials, particularly in streamlining the recruitment and enrollment of participants. By leveraging AI, the platform can identify and match qualified candidates for clinical trials based on specific prescreening and eligibility criteria, significantly reducing the time traditionally spent on these processes. The platform facilitates the creation of personalized online portals for each clinical trial, making it easier for eligible patients to discover and enroll in trials relevant to them. It also simplifies the enrollment process through customizable e-consent forms. Using Einstein Copilot, an AI assistant, organizations can automate the identification of potential trial participants based on criteria such as proximity to trial sites, drawing data from sources like spreadsheets and electronic health records. This capability enhances efficiency by proactively reaching out to suitable candidates. Life Sciences Cloud Organizing Clinical Trials and Outreach Salesforce emphasizes the platform’s potential to alleviate common challenges in clinical trials, where recruitment delays and participant retention issues often hinder progress. By addressing these inefficiencies, Life Sciences Cloud aims to improve the operational timelines and success rates of clinical trials. Beyond clinical trials, the platform features a pilot patient benefits verification tool that helps organizations swiftly assess pharmaceutical costs and eligibility for financial assistance. Integrated with Einstein Copilot, this tool supports bulk re-verifications, ensuring continuous access to treatments for patients requiring periodic authorizations. Additionally, the platform includes a pilot patient program outcome management module, which automates the evaluation of educational and support programs’ impact on patients. This module aids in enhancing patient engagement and adherence to treatment plans by sending automated reminders and analyzing the effectiveness of engagement strategies. Salesforce’s Life Sciences Cloud also offers robust data analytics capabilities, leveraging Salesforce Data Cloud and MuleSoft for Life Sciences to unify structured and unstructured data sources. This unified data model provides comprehensive profiles for each patient and healthcare provider, enabling personalized interactions and informed decision-making. Frank Defesche, Senior Vice President and General Manager of Life Sciences at Salesforce, highlighted the platform’s role in enabling life sciences organizations to navigate challenges such as rising drug costs and regulatory complexities. He emphasized AI’s transformative potential in optimizing operational processes and prioritizing patient-centric approaches across the industry. Overall, Salesforce’s Life Sciences Cloud represents a significant advancement in leveraging AI-driven technologies to enhance efficiency, engagement, and outcomes within the life sciences sector. 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 18, 2024in Einstein 1 Platform, Life Sciences Cloud, Mulesoft, Salesforce Data Cloud
Improve Patient Care and Trust
09Jun

Improve Patient Care and Trust

A recent survey conducted by Kyruus Health and shared with HealthPayerIntelligence reveals that consumers are demanding more accurate online provider data from payers to enhance access to care. Healthcare solutions from Tectonic and Salesforce improve patient care and trust by improving data accuracy. The survey, fielded by Wakefield Research in April 2024, involved 1,000 healthcare consumers. Nearly three-quarters of respondents (72%) had private health insurance, with Medicare being the second most common form of coverage (18%). The participants represented an even distribution across U.S. regions and age groups, with 57% identifying as women. Payers have historically struggled to maintain up-to-date provider directories, and this survey highlights the significant impact of these challenges. About 30% of consumers reported skipping care due to inaccurate provider information, with 70% of them seeking this data online. Consumers primarily rely on health plan websites or apps for provider information, with 32% naming these platforms as their first resource. Medicaid enrollees were particularly dependent on their plan’s digital resources, with 64% turning to these tools first. Besides health plan websites and apps, consumers also used general internet searches, provider or clinic websites, and healthcare information sites like WebMD. Social media platforms were also popular for care searches, with 77% of users turning to Facebook and 61% to YouTube. The survey also revealed that payers often fail to provide accurate cost predictions. Only 32% of respondents said their health plans offered accurate cost information. Price transparency tools are particularly important to younger generations, with 76% of Millennials and 80% of Gen Z respondents using these tools. However, 40% of Baby Boomers were unsure if their plans even offered such tools. Among those who did use them, 34% found that the tools presented incorrect provider data, with 45% of Gen Z reporting this issue. Inaccurate provider information can lead to significant negative consequences for consumers, including delays in accessing care, difficulties contacting preferred providers, and higher costs. Some consumers even reported accidentally receiving out-of-network care or forgoing care altogether due to these inaccuracies. These experiences not only hinder access to care but also damage consumer trust in their healthcare providers and payers. Overall, 80% of respondents said that inaccurate provider data affected their trust, with 27% losing trust in their health plans and 22% losing trust in their providers. The survey results underscore a clear call to action. Over 60% of consumers, and nearly 75% of Gen Z specifically, want their health plans to provide more accurate data. Tectonic has decades of experience applying Salesforce solutions to health care providers and payers. To address these concerns, the report recommends that health plans take three key steps: First, engage with members through appropriate channels, including social media. Second, unify and validate their provider data to ensure accuracy. Third, introduce self-service capabilities within their digital platforms to empower consumers. Reach out to Tectonic today if your organization needs help applying these three steps. 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 9, 2024in Mulesoft, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Managed Services, Salesforce Optimization

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