Data Cloud Archives - gettectonic.com - Page 18
Salesforce Unified Knowledge
06May

Salesforce Unified Knowledge

Salesforce Introduces Unified Knowledge: Empowering Service Excellence with Integrated Organizational Insights Salesforce has unveiled Unified Knowledge, a groundbreaking solution designed to integrate organizational knowledge from diverse third-party systems directly into Salesforce. This innovation aims to enhance the efficiency of service agents, enabling them to resolve customer cases more swiftly and effectively. Unified Knowledge, coupled with customer data from Salesforce Data Cloud, leverages this aggregated knowledge to generate precise and personalized AI-driven content. This capability ensures faster and more tailored customer experiences. Why It Matters In today’s service landscape, 79% of organizations are investing in AI to bolster their support capabilities. However, 76% of executives face challenges in scaling AI effectively due to fragmented systems and isolated data sources. Enhancing Service with AI: Einstein for Service Built on the Einstein Trust Layer, Einstein for Service harnesses AI to elevate service team productivity and enhance customer experiences. Historically, this capability has relied on structured and unstructured customer data within Data Cloud. Unified Knowledge: Integrating Comprehensive Data Sources Unified Knowledge enriches AI models by incorporating Salesforce knowledge articles and information from external platforms such as SharePoint, Confluence, Google Drive, and corporate websites. This holistic data foundation empowers Einstein for Service with robust generative AI capabilities, ensuring agents and AI assistants deliver timely and accurate solutions. Strategic Partnership with Zoomin Powered by a strategic collaboration with Zoomin, Unified Knowledge amplifies service capabilities through: Expansion Across Salesforce Ecosystem Unified Knowledge extends beyond Service Cloud to integrate seamlessly with Salesforce Field Service, Sales Cloud, Health Cloud, and Financial Services Cloud, ensuring comprehensive data utilization across various operational domains. Salesforce Perspective “In service, enhanced knowledge and context lead to superior outcomes for both agents and customers. Unified Knowledge complements Data Cloud’s customer insights by integrating external organizational data, facilitating widespread adoption of generative AI and enabling faster, more meaningful customer engagements.” – Kishan Chetan, EVP and GM, Service Cloud Customer Reaction “Unified Knowledge enables us to deliver proactive, predictive, and preventive service to our customers. By unifying our extensive resources through a single system, our agents can swiftly provide solutions, ensuring consistent service delivery and boosting organizational productivity.” – Dharam Rai, VP, Global Customer Success & Experience, Sonos Availability Unified Knowledge is available in open beta today for Salesforce customers using Service Cloud Unlimited Edition, Einstein 1 Service Edition, or the Knowledge Add-On. Knowledge Answers in Bots will be generally available in June 2024, while Einstein Copilot for Mobile Workers and Search Answers are available now. This strategic initiative underscores Salesforce’s commitment to enhancing service excellence through integrated, AI-driven solutions that empower organizations to deliver exceptional customer experiences. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 6, 2024in Generative AI, Salesforce Data Cloud, Unified Knowledge
Generative AI Self-Service and Unified Knowledge
06May

Generative AI Self-Service and Unified Knowledge

Salesforce Announces Unified Knowledge to Boost Service Efficiency and Customer Experience Salesforce has introduced Unified Knowledge, a groundbreaking solution designed to integrate organizational knowledge from various third-party systems into Salesforce. This integration aims to enhance service agents’ efficiency and expedite customer case resolutions. By leveraging customer data in Salesforce Data Cloud, Unified Knowledge helps generate accurate and relevant AI-driven content, enabling faster and more personalized customer experiences. Generative AI Self-Service and Unified Knowledge. Key Importance Detailed Insights Built on the Einstein Trust Layer, Einstein for Service uses AI to boost service team productivity and customer experience. Traditionally, these AI capabilities have relied on unstructured and structured customer data within Data Cloud. Unified Knowledge enhances these AI models by incorporating Salesforce knowledge articles and resources from third-party platforms such as SharePoint, Confluence, Google Drive, and company websites. This robust data foundation empowers Einstein for Service and its generative AI capabilities to deliver precise answers to agents and AI assistants in real time. Generative AI Self-Service and Unified Knowledge Unified Knowledge, developed through a strategic partnership with Zoomin, offers several key capabilities: In addition to Service Cloud, Unified Knowledge integrates information into Salesforce Field Service, Sales Cloud, Health Cloud, and Financial Services Cloud. Salesforce’s Perspective Kishan Chetan, EVP and GM of Service Cloud, stated, “In service, more knowledge and more context translates to better answers for agents and customers. Agents and self-serve customers already benefit from a complete customer profile with information in Data Cloud. Now, with Unified Knowledge, they also have access to all external organizational data, creating a truly comprehensive foundation to fuel both the successful adoption of generative AI and the delivery of faster, more meaningful customer experiences.” Customer Reaction Dharam Rai, VP of Global Customer Success & Experience at Sonos, commented, “Unified Knowledge is helping us deliver proactive, predictive, and preventative service to our customers. We have over 500 agents educating our customers on different aspects of our products. Now, all our resources and data points can be unified through the same system quickly, enabling our agents to provide solutions faster. Every agent can deliver consistent and repeatable service to improve customer engagement and increase organizational productivity.” Availability Unified Knowledge is available today in open beta for Salesforce customers with Service Cloud Unlimited Edition, Einstein 1 Service Edition, or the Knowledge Add-On. Knowledge Answers in Bots will be generally available in June 2024, while Einstein Copilot for Mobile Workers and Search Answers are available now. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 6, 2024in Einstein 1 Platform, Generative AI, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Unified Knowledge
Unified Knowledge for Service Agents
04May

Unified Knowledge for Service Agents

Salesforce has introduced a new intelligence source for service agents called Unified Knowledge. This solution aggregates information from third-party sources and integrates it into Salesforce, enhancing the customer data available in Data Cloud. Unified Knowledge Overview Enhanced Service with Unified Knowledge Unified Knowledge aggregates data from sources like SharePoint, Confluence, Google Drive, and brand websites, making it accessible within Salesforce Service Cloud. While Service Cloud has primarily utilized data from Data Cloud via Einstein for Service to assist service agents, Unified Knowledge expands this by including additional third-party information. Broader Integration Across Salesforce Although Service Cloud is a primary focus, Unified Knowledge will also integrate with Salesforce Field Service, Sales Cloud, Health Cloud, and Financial Services Cloud. This solution was developed in partnership with Zoomin Software. Technical Approach and Future Plans The initial version of Unified Knowledge does not utilize Data Cloud. Instead, it stores third-party knowledge in the KnowledgeArticle object on Core and uses Zoomin for integration. Salesforce plans to eventually transition this solution to Data Cloud for both storage and integration. This transition involves multiple dependencies and significant refactoring of the Knowledge product. For now, the current approach allows for quicker market entry. Once moved to Data Cloud, customers will need Data Cloud credits to use Unified Knowledge. Response by email from Salesforce: “The beta version of Unified Knowledge does not leverage Data Cloud. The third-party Knowledge is stored on Core in the KnowledgeArticle object, and Salesforce uses ZoomIn to integrate with third-party systems. Salesforce’s long-term vision is to move to Data Cloud — initially for the storage of third-party knowledge, and eventually for the connector/integration piece as well. This involves multiple dependencies on Data Cloud however and significant refactoring of the Knowledge product, so in order to get this solution to market more quickly, this initial version is built on Core. Once we move Unified Knowledge to Data Cloud, customers will have to purchase Data Cloud credits to use the product.” Benefits and Features of Unified Knowledge Unified Knowledge enhances the information available to service agents, potentially leading to better service experiences. Its generative AI capabilities include: By expanding the data available to service agents, Unified Knowledge aims to improve service quality and efficiency. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 4, 2024in Generative AI, Salesforce Service Cloud, Unified Knowledge
beyond inc leverages salesforce
03May

Salesforce Takes Beyond Inc Beyond Personalized Shopping Experiences

Beyond, Inc., the parent company of renowned e-commerce brands such as Bed Bath and Beyond, Overstock, and Zulily, has unveiled an expanded commitment to leveraging Salesforce’s cutting-edge data and marketing solutions. Beyond Inc leverages Salesforce is to foster customer loyalty and deliver deeply personalized shopping experiences across all its brand portfolios. Beyond will now utilize Salesforce Data Cloud, powered by the Einstein 1 Platform, to unify customer data across multiple brands and enterprise data systems. This unified data will provide invaluable insights into customer behavior, preferences, and engagement patterns across Beyond’s diverse brand ecosystem. Marcus Lemonis, Executive Chairman of the Beyond, Inc. Board of Directors, underscored the company’s commitment to revolutionizing its approach to customer data management, emphasizing the importance of adopting a profit-oriented mindset and investing in customers who demonstrate a propensity for repeat purchases and loyalty. Lemonis previously implemented Salesforce solutions at Camping World Holdings. Lemonis is also the host of CNBC’s The Profit. Beyond Inc Leverages Salesforce Carlisha Robinson, Chief Customer Officer at Beyond, hailed the collaboration with Salesforce as a pivotal moment ushering in a new era of growth for the company. She emphasized the pivotal role of digital technologies in driving Beyond’s growth agenda, highlighting the company’s strategic utilization of the Einstein 1 Platform to unlock the full potential of AI and data-driven insights. Through this expanded collaboration, Beyond aims to execute personalized journeys using Salesforce Marketing Cloud, thereby increasing customer loyalty and spend across its brands. Ariel Kelman, Chief Marketing Officer at Salesforce, lauded Beyond’s adoption of Salesforce’s AI, Data Cloud, and integration technologies as instrumental in fostering deeply engaging and personalized interactions with customers. Kelman emphasized that providing personalized experiences is paramount in today’s customer-connected world, and Beyond’s initiatives will help drive revenue growth and enhance customer relationships in a whole new way. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 3, 2024in Einstein 1 Platform, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Salesforce Optimization
Salesforce Data Cloud
03May

Tracking Money Flows with Data Cloud

In the digital era, banks face a significant challenge: obtaining a clear, reliable, and accurate understanding of their customers amidst a vast amount of fragmented data spread across different systems. Tracking Money Flows with Data Cloud. Despite the abundance of data, it often fails to provide a complete or accurate narrative. Simple questions like “Did a customer’s funds remain within the bank or exit entirely?” can be surprisingly challenging to answer due to this fragmented data. This disjointed view of customer behavior obstructs banks from leveraging valuable data to make informed decisions and enhance client engagement. Data Cloud and Data Strategy The solution lies not just in the data itself but in developing a robust strategy to consolidate customer data and make it actionable. By breaking down data silos and constructing comprehensive customer profiles, banks can unlock the true potential of their information. This leads to a deeper comprehension of their clients, enabling them to make intelligent decisions that drive engagement, predict customer needs, and manage attrition risks effectively. In today’s intricate economic landscape, this data-driven approach isn’t merely advantageous—it’s essential for banks to stay competitive and achieve sustained success. Tracking Money and Money Flows with Data Cloud Consider the case of William to illustrate the impact of data analytics. William, a sophisticated investor, continuously shifted his funds seeking the best returns. This presented a challenge for his bank, whose legacy systems were ill-equipped to track his dynamic financial activities effectively. The bank’s inability to follow William’s money hindered marketing and attrition management efforts. They needed to understand if funds were truly leaving the institution or just relocating within its ecosystem. The introduction of Data Cloud transformed the bank’s capabilities. By consolidating disparate data sources, they gained real-time insights into William’s financial activities, allowing them to understand his relationship with the bank better and make more reliable attrition predictions. Armed with this knowledge, the bank personalized their approach to William, showcasing tailored offerings aligned with his financial objectives. This personalized engagement transformed their relationship from transactional to collaborative, reducing attrition risk and maximizing mutual benefit. William’s case became a model for the bank, demonstrating the power of unifying data silos to understand customers’ financial behavior comprehensively. In today’s financial environment, overcoming fragmented data is paramount. Data Cloud offers a winning solution: Harnessing the abundance of data is crucial. By leveraging tools like Data Cloud, banks can unravel the mysteries of customer behavior and optimize their operations effectively. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 3, 2024in Salesforce, Salesforce Data Cloud, Salesforce Financial Services Solutions, Salesforce Implementation Services
Public Sector Einstein 1 for Service
01May

Public Sector Einstein 1 for Service

Salesforce, a prominent provider of cloud-based software solutions, has unveiled the introduction of Public Sector Einstein 1 for Service, a specialized software platform tailored explicitly for government employees. Salesforce is targeting governmental customer service improvements with the launch of the Public Sector Einstein 1 for Service. This latest offering, built on Salesforce’s Einstein 1 platform, integrates a variety of artificial intelligence-driven capabilities aimed at streamlining administrative tasks within the public sector. Public Sector Einstein 1 for Service.  Built on Salesforce’s Einstein 1 platform, the offering is designed to leverage data and automation to improve worker efficiency, reduce or eliminate repetitive tasks, and improve the ability of workers to interact with systems, data, and the people they serve.  Public Sector Einstein 1 for Service presents a suite of AI-powered features crafted to enhance efficiency and productivity for government entities. These encompass Caseworker Narrative Generation, utilizing generative AI to synthesize data summaries; Service Cloud Voice, enabling real-time transcription of conversations; and Einstein Activity Capture for Public Sector, facilitating documentation of case interactions through natural language processing. Additionally, the platform incorporates Data Cloud for Public Sector and Interaction Notes for Public Sector, providing comprehensive note-taking functionalities. Salesforce’s Executive Vice President and General Manager for the Public Sector, Nasi Jazayeri, underscored the significance of harnessing trusted AI to enhance operational effectiveness, data management, and service delivery for government agencies, empowering employees to better serve constituents. Having previously provided tools for other FEDramp-compliant products – including Field Service and Security Center – Salesforce’s newest solution utilizes trusted conversational and generative AI (GenAI) to improve agent efficiency. The solution also promises public sector organizations the ability to swiftly generate case reports, record real-time call transcriptions, and document and format case interactions—all through a single unified solution. Another key aspect of the tool is the inclusion of Salesforce’s Data Cloud system, which allows users to consolidate data from various sources – including benefits, education, and healthcare – into a standardized data model. Public Sector Einstein 1 for Service also includes Data Cloud, which is designed to capture, connect, and harmonize an organization’s entire corpus of data into a common data model. This can be used to create unified constituent profiles that serve as a single source of truth for the organization, enabling the organization to personalize outreach and interactions. A new feature being offered is Interaction Notes for Public Sector, which allows caseworkers to take detailed notes of their meetings and conversations with constituents or other case participants, specify the confidentiality level of the notes, add action items or next steps, and then search for and filter summaries to find notes from previous interactions, all in one place. This feature takes a common practice deployed at many public sector agencies and helps to organize information that can often be lost when managed through manual processes. Of course this also brings in the Salesforce Vector Database. In doing so, public service organizations are able to create specific profiles for their constituents and personalize their customer service offerings accordingly. If you have contemplated adding Salesforce Nonprofit Cloud, check out this new offering from Tectonic – Salesforce Imploementation Solutions. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 1, 2024in Einstein 1 Platform, Salesforce, Salesforce Implementation Services, Salesforce Public Sector Solutions
Zero-Copy Integrations
27Apr

Zero-Copy Integrations

At the recent Salesforce World Tour NYC event, Salesforce introduced a new global ecosystem of technology and solution providers designed to assist its customers in leveraging third-party data through secure, bidirectional zero-copy integrations with Salesforce Data Cloud. Tyler Carlson, VP of business development and strategic partnerships at Salesforce, highlighted the key challenge faced by many customers: integrating data from various platforms without creating multiple iterations and losing data lineage. Currently, some startups offer “reverse” ETL services, copying data from customers’ data warehouses or platforms back into systems of engagement. However, this approach requires duplicating data, creating storage spaces, and maintaining data synchronization pipelines. To address these challenges, Salesforce introduced the Zero Copy Partner Network, which brings together ISVs and SIs to eliminate custom integrations and complex data pipelines. This network aims to provide businesses with a more efficient, secure, and user-friendly way to connect data to their applications compared to traditional ETL processes. Zero-copy integration allows teams to access data directly from its source, either through queries or virtual access, without the need for data duplication. Salesforce has pioneered zero-copy bidirectional integrations with Data Cloud partners like Amazon Redshift, Databricks, Google Cloud’s BigQuery, and Snowflake. While integrations with BigQuery and Snowflake are generally available, those with Redshift and Databricks are still in pilot but expected to launch later this year. Salesforce is expanding this network to include its ISV ecosystem, enabling them to build on top of zero-copy connectors to offer enrichment datasets and business applications with zero-copy integration. Additionally, the company is extending this capability to its SI ecosystem, ensuring that global SIs are certified and ready to assist customers with distributed zero-copy integration patterns. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 27, 2024in Salesforce, Snowflake
Security Identity and Privacy Summer 24 Release Notes
26Apr

Security Identity and Privacy Summer 24 Release Notes

External Client App Manager, OAuth 2.0 token exchange handlers, and Event Log File Browser are each now available in Setup. Also, external client apps now support a bunch of new OAuth flows. Give users access to manage custom domains with a new, more targeted user permission. Create uninterrupted user experiences across Salesforce and custom interfaces with the new Single-Access UI Bridge API. Access your Data Cloud encryption policy status from the Security Center Encryption Policy metric. Scratch orgs on Salesforce Edge Network use partitioned domains. And Android mobile connected apps now require the Admin SDK private key and project ID from a Google Firebase project. Security Identity and Privacy Summer 24 Release Notes. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 26, 2024in Salesforce, Salesforce Optimization, Salesforce Shield
Salesforce Summer 24 Sales Release Notes
25Apr

Salesforce Summer 24 Sales Release Notes

Changes are afoot for Salesforce Sales Cloud. Salesforce Summer 24 Sales Release Notes. Salesforce Summer 24 Sales Release Notes Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 25, 2024in Einstein Insights, Generative AI, Salesforce, Salesforce Development Services, Salesforce Sales Cloud
Salesforce Experience Cloud Summer 24 Release Notes
25Apr

Salesforce Experience Cloud Summer 24 Release Notes

Customization is key, and Experience Cloud is here to help you deliver. Salesforce Experience Cloud Summer 24 Release Notes. Integrate enhanced LWR sites with Data Cloud to gain deeper insights into site visitor interactions. Elevate your site with new styling features for forms and buttons, streamlined search options, and increased control over the layout and spacing of your LWR sites. Improve your visitor login experience with a new integration framework for headless login and guest user identity flows. Stay productive on the go with a collection of updates to the Mobile Publisher app. Salesforce Experience Cloud Summer 24 Release Notes Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 25, 2024in Salesforce, Salesforce Experience Cloud
Salesforce Einstein Summer 24 Release Notes
24Apr

Salesforce Einstein Summer 24 Release Notes

Supercharge your workforce efficiency with predictive and generative AI. Salesforce Einstein Summer 24 Release Notes. Rights of ALBERT EINSTEIN are used with permission of The Hebrew University of Jerusalem. Represented exclusively by Greenlight. CLOUD FEATURES RELEASE NOTE June ’24 Analytics Report Formula Generation Add Calculated Fields to Your Data Cloud Reports with Einstein Generative AI Field Service Pre-Work Brief Customize the Pre-Work Brief with Prompt Builder Flow Builder Einstein for Flow Let Einstein Build a Draft Flow for You Industries: Contracts Contracts AI Tailor Your Default and New Field Prompts for Effective Data Extraction Industries: Health Cloud Assessment Generation Automate Assessment Generation With Einstein Generative AI Industries: Net Zero Cloud ESG Reports Einstein for Net Zero Cloud Overall Salesforce Scheduler Generate Personalized Appointment Invitation Emails with Prompt Builder Sales Enablement, Relationship Selling, Sales Emails Einstein for Sales Sales Einstein Conversation Insights Einstein Conversation Insights Service Article Recommendations, Feedback Management, Work Summaries Einstein for Service Service Service Catalog Einstein for Service Catalog Einstein Features Salesforce Einstein Summer 24 Release Notes Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 24, 2024in Einstein 1 Platform, Einstein Insights, Generative AI, Salesforce, Salesforce Data Cloud, Salesforce Einstein
Summer 24 Salesforce Data Cloud Release Notes
24Apr

Summer 24 Salesforce Data Cloud Release Notes

Ingest, harmonize, unify, and analyze streaming and batch data with Data Cloud. Then use that data to unlock meaningful and intelligent experiences across Customer 360 applications and beyond. Summer 24 Salesforce Data Cloud Release Notes. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 24, 2024in Einstein 1 Platform, Salesforce, Salesforce Data Cloud
summer 24 analytics release notes
24Apr

Summer 24 Analytics Release Notes

Analytics summer 24 enhancements include new and updated features for Lightning reports and dashboards, Data Cloud reports and dashboards, CRM Analytics, Intelligent apps, and Tableau. Summer 24 Analytics Release Notes. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 24, 2024in Salesforce, Salesforce Marketing Cloud, Salesforce Tableau
Salesforce Customer 360 Data Model
23Apr

Salesforce Customer 360 Data Model

Customer 360 Data Model The Salesforce Customer 360 Data Model simplifies data integration across cloud applications by providing standardized guidelines. This model allows for the creation of data lakes, generation of analytics, training of machine-learning models, and building a unified view of the customer. Organization into Subject Areas The model is organized into various subject areas, each representing a significant business activity such as customer information, product data, or engagement data. Each subject area is comprised of Data Model Objects (DMOs). A DMO is a view of your data imported into Data Cloud from data streams, insights, and other sources. DMOs use attributes (fields) to organize data in specific and meaningful ways. The term “DMO” can refer to either the Salesforce-created and managed schema for a DMO or an instance of a DMO in an organization based on that schema. Types of DMOs Multiple types of DMOs can be created and used within an organization: Data Mapping and Integration Data imported into Data Cloud must be mapped to a DMO before it can be used for segmentation, activation, analytics, or other operations. To start mapping data, add a connected data source to Data Cloud. After connecting a source, Data Cloud allows you to create mapping sets between objects and fields within it and the Customer 360 Data Model. For more detailed information about DMOs and other object types used in Data Cloud, refer to Data Objects in Data Cloud. Data Relationship Diagram The Customer 360 Data Model connects disparate data by linking DMOs through relationships. Here’s the full data relationship diagram for the Customer 360 Data Model. Subject Area Diagram For an overview of the data model, you can view the Overview Data Model on the Salesforce Architect page. To further explore this topic, review the associated Trailhead module: Customer 360 Data Model for Data Cloud. Data Model Subject Areas Learn more about the different subject areas within Data Cloud: Individual and Contact Points When using the Customer 360 Data Model, Data Cloud prepares a list of Salesforce-published objects, fields, metadata, and relationships to ensure consistency across applications and business processes. Individual and contact point objects are crucial for successful and complete data streams. For more detailed diagrams and information, visit the Salesforce Architect page and explore the related Trailhead module. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 23, 2024in Salesforce Data Cloud, Salesforce Optimization
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