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Salesforce Data Cloud

Data Cloud and Data Cloud One

Salesforce Data Cloud is a platform for building unified customer profiles by consolidating data from various sources. Data Cloud One, on the other hand, is a feature within Data Cloud that facilitates bidirectional data sharing and access across multiple Salesforce organizations.  Here’s the difference: In essence: Data Cloud is the underlying platform for unifying customer data, while Data Cloud One is a feature that simplifies the use of Data Cloud across multiple Salesforce orgs. Data Cloud One enhances the power of Data Cloud by enabling easy access to a unified customer 360 across multiple orgs, rather than requiring separate Data Cloud instances for each. 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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Salesforce Data Cloud

Getting Started with Data Cloud

Before diving into Data Cloud, ensure your team is prepared by reviewing key considerations, navigation, and licensing details. Prepare for Data Cloud Key Readiness Steps: ✅ Understand guidelines and limitations that may impact billing.✅ Review brand management and organizational structure within Data Cloud.✅ Define a data strategy by exploring data model concepts.✅ Analyze existing data and sources to determine ingestion needs.✅ Plan for unified customer profiles to drive insights.✅ Identify users and their permissions for effective access control.✅ Establish goals and outline how your team will leverage data. 📄 Download the Interactive Data Cloud Checklist & Considerations PDF Navigating Data Cloud Once Data Cloud is enabled, access it through the App Launcher. Key Navigation Features: 📌 Data Ingestion & Modeling – Manage data sources through: 📌 Data Exploration & Analysis – View and interact with data using: 📌 Identity Resolution – Define match and reconciliation rules via the: 📌 Insights & Segmentation – Analyze and act on data with: 📌 Setup & Administration – Configure settings through the: Understanding Data Cloud Licensing & Usage Standard Editions & Add-On Licenses 🔹 Data Cloud is included in various Salesforce editions, with additional features available through add-on licenses.🔹 Your Data Cloud license determines available features—some require separate purchases. Data Cloud Guidelines & Limits 💡 Best Practices: Follow recommended guidelines to optimize performance and adoption.🚧 Feature Limits: Some features have usage thresholds affecting performance or billing.⚙ Scalability: Many limits are adjustable—work with your account executive to customize solutions. Understanding Data Cloud Billing 💳 Billable Usage Types – Certain features impact Data Services Credit consumption.📊 Monitoring Usage – Track usage in your org’s Digital Wallet.📑 Billing Documentation – Review feature & usage documentation before activation.💬 Consult Your AE – Understand cost implications by discussing with your Salesforce Account Executive. Data Cloud & Einstein AI 🤖 Einstein AI is built on data – Review which Einstein features use Data Cloud to optimize performance. Stay Updated on Data Cloud 📢 Feature Releases: Data Cloud updates twice monthly. View the latest updates.📜 Licensing & Access Changes: Stay informed about changes in feature availability, billing, and permissions. Ready to unlock the power of Data Cloud? Start your journey today! 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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Cohesity Data Explore

Cohesity has introduced Data Explore, a new feature in its Gaia generative AI platform, aimed at simplifying data search within backups for any employee. The update, launched this week, adds keyword search capabilities and data visualization through topic word clouds, enhancing user access to valuable information. Previously, users could interact with Gaia’s conversational AI interface to ask questions about stored data. Data Explore now extends this by enabling users to browse frequent keywords within data sets and receive search suggestions to help refine their queries. This addition is particularly valuable for users who may not know exactly what to ask when exploring backup data. As part of the update, Gaia’s support for file storage systems has also expanded. Gaia now integrates with both on-premises and cloud-based file servers, such as Dell Technologies’ PowerScale and NetApp systems, in addition to existing support for Microsoft 365 services like Outlook, SharePoint, and OneDrive. This enhanced search functionality reflects a broader trend among backup vendors to deliver greater utility from stored data, according to Simon Robinson of TechTarget’s Enterprise Strategy Group. He noted that tools making data accessible to non-experts bring businesses closer to the goal of actionable insights. “You don’t need to be a corporate librarian to use this stuff,” Robinson said. Data Explore’s semantic indexing, similar to internet search engines, aids users by automatically surfacing keywords, questions, and suggestions, making backup data more searchable and actionable. According to Krista Case, an analyst at Futurum Group, this helps reduce AI hype by grounding Gaia in practical use cases, facilitating faster insights for end users. Since Gaia’s launch as a SaaS add-on for Cohesity Data Cloud, its features have evolved to offer deeper insights beyond simple chatbot interactions. Greg Statton, Cohesity’s VP of AI solutions, shared that the platform aims to be more than a support agent for backup queries. The vision is to provide advanced AI tools that enhance data discovery, flag abnormal events, and reduce alert fatigue, giving IT administrators actionable intelligence that is more contextually aware of their tasks. Ultimately, Cohesity’s Data Explore feature exemplifies generative AI’s potential in unlocking business value from backup data. By making this data accessible and understandable, Cohesity is helping organizations achieve the long-awaited promise of deriving value from stored data – a milestone Robinson believes backup vendors are now on the verge of realizing. 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 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 Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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