Asset Management Archives - gettectonic.com
09May

Revolutionizing Analytics: Summer ’25 Release Highlights

Next-Generation Analytics Across Salesforce The Summer ’25 release brings transformative updates to Salesforce’s analytics ecosystem, empowering organizations with smarter insights, enhanced accessibility, and seamless data integration. Here’s what’s new: Tableau Next: The Future of Enterprise Analytics (Available in Enterprise, Performance, and Unlimited editions) A unified analytics powerhouse combining Tableau’s visualization strengths with Data Cloud’s semantic layer and Agentforce’s contextual AI. Key Capabilities: Why It Matters:“Tableau Next represents the first truly agentic analytics platform – where insights automatically trigger business actions,” says Salesforce CPO. Lightning Reports & Dashboards: Smarter Refresh (Generally Available) Pro Tip: Combine selective refresh with new “sticky filters” (Winter ’25) for personalized views. Data Cloud Analytics: Deeper Insights Feature Impact Example Use Case Calculated Insights in Reports Apply AI-generated segments/metrics directly in reports Identify high-value customer cohorts 5-Dimensional Grouping Create granular summary reports Analyze marketing ROI by demographic layers Managed Package Deployment Distribute semantic model reports across orgs Roll out standardized financial reporting New Deployment Option: Migrate analytics via change sets (no API required) CRM Analytics: Performance Boost 🚀 3x Faster Queries 🔒 Secure Cloud Connections ♿ Accessibility First Einstein Discovery Update Retired Feature: Decision Optimization beta (after June 5, 2025)Recommended Alternative: Use Einstein Prediction Builder for optimization scenarios Tableau Ecosystem Updates Product Key Improvement Best For Tableau Cloud New embedded analytics SDK Enterprise deployments Tableau Desktop Enhanced geospatial analysis Advanced users Tableau Prep Smart data cleaning suggestions Data engineers Pro Tip: Embed Tableau dashboards in Lightning pages for contextual decision-making. Getting Started “These analytics innovations reduce time-to-insight by 40% in early adopters,” reports Salesforce Labs. Explore Summer ’25 Analytics DocumentationSchedule Release Readiness Consultation Which analytics upgrade will you implement first? 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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May 9, 2025in Agentforce Platform, Data, Enterprise, Salesforce, Salesforce Flow, Snowflake0 Comments
Real-World AI
29Apr

AI in the Travel Industry

AI in Travel: How the Industry is Transforming with Intelligent Technology The travel sector has long been at the forefront of AI adoption, with airlines, hotels, and cruise lines leveraging advanced analytics for decades to optimize pricing and operations. Now, as artificial intelligence evolves—particularly with the rise of generative AI—the industry is entering a new era of smarter automation, hyper-personalization, and seamless customer experiences. “AI and generative AI have emerged as truly disruptive forces,” says Kartikey Kaushal, Senior Analyst at Everest Group. “They’re reshaping how travel businesses operate, compete, and serve customers.” According to Everest Group, AI adoption in travel is growing at 14-16% annually, driven by demand for efficiency and enhanced customer engagement. But as adoption accelerates, the industry must balance automation with the human touch that travelers still value. 10 Key AI Use Cases in Travel & Tourism 1. Dynamic Pricing Optimization Travel companies pioneered AI-driven dynamic pricing, adjusting fares based on demand, competitor rates, weather, and events. Now, AI takes it further with hyper-personalized pricing—tracking user behavior (like repeated searches) to offer tailored deals. 2. Customer Sentiment Analysis AI evaluates traveler emotions through voice tone, reviews, and social media, enabling real-time adjustments. Hotels and airlines use sentiment tracking to improve service before complaints escalate. 3. Automated Office Tasks Travel agencies use generative AI (like ChatGPT) to draft emails, marketing content, and customer onboarding materials, freeing staff for high-value interactions. 4. Self-Service & Customer Empowerment AI-powered chatbots, itinerary builders, and booking tools let travelers plan trips independently. Some even bring AI-generated plans to agents for refinement—blending automation with human expertise. 5. Operational Efficiency & Asset Management Airlines and cruise lines deploy AI for:✔ Predictive maintenance (reducing downtime)✔ Route optimization (cutting fuel costs)✔ Staff scheduling (improving productivity) 6. AI-Powered Summarization Booking platforms use generative AI to summarize hotel reviews, local attractions, and FAQs—delivering concise, personalized travel insights. 7. Frictionless Travel Experiences From contactless hotel check-ins to AI-driven real-time recommendations (restaurants, shows, transport), AI minimizes hassles and enhances convenience. 8. AI Agents for Problem-Solving Agentic AI autonomously resolves disruptions—like rebooking flights, rerouting luggage, and updating hotels—without human intervention. 9. Enhanced Personalization Without “Creepiness” AI tailors recommendations based on past behavior but must avoid overstepping. The challenge? “A customer segment of one”—balancing customization with privacy. 10. Risk & Compliance Management AI helps navigate data privacy laws (GDPR, CCPA) and detects fraud, but companies must assign clear accountability for AI-driven decisions. Challenges in AI Adoption for Travel The Future: AI + Human Collaboration The most successful travel companies will blend AI efficiency with human empathy, ensuring technology enhances—not replaces—the art of travel. “The goal isn’t full automation,” says McKinsey’s Alex Cosmas. “It’s using AI to make every journey smoother, smarter, and more personal.” As AI evolves, so will its role in travel—ushering in an era where smarter algorithms and human expertise work together to create unforgettable experiences. What’s Next? The journey has just begun. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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April 29, 2025in Agentic AI, Artificial Intelligence, Data, Generative AI, Laws, Technology0 Comments
Healthcare Cybersecurity Challenges Persist
28Apr

Healthcare Cybersecurity Challenges Persist

Healthcare Cybersecurity Challenges Persist as Sector Struggles to Shift from Reactive to Proactive Strategies Healthcare organizations of all sizes continue to face significant challenges in addressing systemic cybersecurity risks, with new benchmarking data revealing that the industry remains largely reactive rather than proactive in its approach. The findings come from the 2025 Healthcare Cybersecurity Benchmarking Study, a collaborative effort by KLAS Research, Censinet, the American Hospital Association (AHA), the Health Information Sharing and Analysis Center (H-ISAC), the Healthcare and Public Health Sector Coordinating Council (HSCC), and the Scottsdale Institute. The study gathered responses from 69 healthcare and payer organizations between September and December 2024, assessing their alignment with key cybersecurity frameworks, including: Key Findings: Strong Response & Recovery, but Gaps in Prevention & Risk Management 1. Persistent Focus on Reactive Measures Consistent with past years, healthcare organizations reported high coverage in the “Respond” and “Recover” functions of the NIST CSF 2.0, indicating strong incident response and disaster recovery capabilities. However, long-term recovery planning lags behind immediate response efforts, suggesting room for improvement. “As cyber threats grow, healthcare organizations are preparing for when—not if—they will face a breach, emphasizing incident response and business continuity strategies,” the study noted. 2. Critical Gaps in Supply Chain & Asset Management Under the NIST CSF, the lowest coverage areas were: This is particularly concerning given the rising number of third-party breaches impacting healthcare. 3. Cybersecurity Insurance Benefits from Framework Adoption Organizations implementing the NIST CSF saw slower growth in cybersecurity insurance premiums, reinforcing the financial benefits of proactive risk management. 4. Emerging AI Risk Management Efforts Adoption of the NIST AI RMF remains in early stages, with many organizations still establishing governance structures for AI-related risks. 5. HICP & HPH CPG Findings Align with Past Trends Moving from Reactive to Proactive Security While progress has been made, the study highlights that greater adherence to leading cybersecurity frameworks can help healthcare organizations transition to a more proactive security posture, reducing risk and improving resilience. “The healthcare sector must prioritize foundational cybersecurity practices—particularly in supply chain and asset management—to mitigate escalating threats,” the report concluded. Final Takeaway:Healthcare cybersecurity remains heavily reactive, but organizations that invest in comprehensive risk management, third-party oversight, and AI governance can better protect patient data and reduce long-term vulnerabilities. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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April 28, 2025in Data, Life Sciences Cloud, Salesforce Health and Life Sciences Solutions0 Comments
Salesforce Energy and Utilities Cloud Explained
17Mar

Salesforce Energy and Utilities Cloud Explained

Salesforce Energy and Utilities Cloud is a specialized industry solution built on the Salesforce platform, designed to meet the unique needs of energy and utility companies. It helps these organizations manage customer relationships, streamline operations, and drive digital transformation in an increasingly complex and regulated industry. The cloud solution provides tools for customer engagement, field service management, and regulatory compliance, among other functionalities. Key Features of Salesforce Energy and Utilities Cloud: Benefits of Salesforce Energy and Utilities Cloud: Use Cases: Implementation Considerations: In summary, Salesforce Energy and Utilities Cloud is a comprehensive solution designed to help energy and utility companies enhance customer engagement, streamline operations, and achieve regulatory compliance. By leveraging advanced technologies and industry-specific functionalities, utilities can drive digital transformation and improve overall performance. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 17, 2025in Data, Salesforce, Salesforce Einstein
salesforce manufacturing sales service experience case study
02Dec

Manufacturing Deep Dive into Salesforce Winter 25 Release

The Salesforce Winter ’25 release is packed with game-changing updates tailored to manufacturers. With features designed to optimize asset management, inventory, and sales agreements, Salesforce is redefining how manufacturers stay competitive in today’s fast-paced market. Let’s explore the key highlights. Connected Assets The enhanced Connected Assets functionality is a standout feature in this release. By leveraging advanced IoT integrations, manufacturers can monitor and manage equipment in real time, enabling predictive maintenance and reducing downtime. Picture this: foreseeing potential machine issues before they escalate. This proactive approach helps manufacturers schedule maintenance at optimal times, saving both time and money. Enhanced visibility into asset performance also empowers teams to make data-driven decisions, boosting operational efficiency. Asset Service Lifecycle Management The Asset Service Lifecycle Management updates streamline the entire lifecycle of an asset—from installation to decommissioning. For manufacturers, where equipment performance is pivotal, these updates are a game-changer. Key features include: These enhancements not only improve service delivery but also boost customer satisfaction by keeping production schedules on track. Inventory Search and Transfer Efficient inventory management is critical for manufacturers, and the Inventory Search and Transfer update addresses this need directly. By improving visibility and accessibility, manufacturers can operate with greater agility and responsiveness, ensuring smooth operations even under tight timelines. Sales Agreement Enhancements Sales agreements are a cornerstone of manufacturing transactions, and the Winter ’25 release introduces significant improvements to streamline this process. These enhancements reduce negotiation time, minimize risks of misunderstandings, and enable manufacturers to close deals faster—key advantages in a competitive market. Sales Agreement Summary To complement these updates, the new Sales Agreement Summary feature provides a concise overview of all active agreements, including key dates, terms, and stakeholders. This enhanced visibility fosters better collaboration among teams and helps businesses stay ahead of their goals. Why It Matters for Manufacturers Salesforce’s Winter ’25 release is more than just an update—it’s a tool kit for driving growth and operational excellence. From predictive asset management to streamlined inventory control and faster sales cycles, these innovations empower manufacturers to: Ready to Transform?Leverage these powerful tools to gain a competitive edge. At Tectonic, we specialize in guiding manufacturers through their Salesforce journey, helping you maximize the impact of these updates. Reach out to our team today to get started! 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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December 2, 2024in Data, Salesforce, Salesforce Implementation Services, Salesforce Manufacturing Automotive Energy
Energy and Utilities with Salesforce Winter 25 Updates
22Nov

Energy and Utilities with Salesforce Winter 25 Updates

If you’re ready to embrace these innovations, reach out to Tectonic for expert guidance on optimizing your Salesforce instance. Together, we can help your organization harness the full potential of these game-changing features.

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November 22, 2024in Data, Salesforce, Salesforce Development Services, Salesforce Einstein, Salesforce Manufacturing Automotive Energy, Salesforce Optimization, Salesforce Sales Cloud, Salesforce Service Cloud, Technology
Salesforce Connected Assets
28Oct

Salesforce Connected Assets

Salesforce has unveiled Connected Assets, a robust suite of capabilities in Manufacturing Cloud, designed to offer manufacturers a comprehensive, real-time perspective on connected asset data. This includes data on service history, asset status, customer records, and telematics, allowing manufacturers to monitor asset health and performance while proactively addressing maintenance needs to reduce downtime and boost customer satisfaction. Enhanced AI Capabilities for Connected AssetsConnected Assets integrates Salesforce’s advanced AI to empower teams with actionable insights. Sales, customer service, and field teams can now receive real-time alerts and quickly access asset history and health, enabling faster, data-driven support and the delivery of more personalized offers. AI-driven insights and recommendations based on asset condition, service history, and performance data enhance the ability of manufacturers to predict maintenance needs and provide proactive support, including on-site recommendations to field technicians. Innovative Features for Optimized Asset Management Salesforce PerspectiveAchyut Jajoo, SVP and GM of Manufacturing and Automotive, states, “The manufacturing industry is embracing a historic transformation toward AI-enabled modernization. Connected Assets and our sector-specific AI tools in Manufacturing Cloud empower our customers to lead with improved customer experiences, optimized asset performance, and new revenue-generating services. With Agentforce, our customers will soon be able to leverage autonomous agents to monitor connected asset data at scale, enabling them to focus on strategic, high-value initiatives.” Real-World ApplicationKawasaki Engines exemplifies Connected Assets in action, using Manufacturing Cloud to enhance customer relationships by offering proactive support and minimizing equipment downtime. “Salesforce’s Connected Assets will enable us to deliver exceptional service, keeping our customers satisfied and our products operating efficiently,” says Tony Gondick, Senior Manager of IT Business Strategy at Kawasaki Engines. Extending Across IndustriesBeyond Manufacturing Cloud, Connected Assets is also being introduced to Salesforce’s other industry clouds, such as Energy & Utilities, Communications, and Media, allowing a wide range of sectors to tap into the benefits of connected asset management, minimize downtime, and generate new value. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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October 28, 2024in Agentforce Platform, AI Tools, Data, Salesforce, Salesforce Development Services, Salesforce Health and Life Sciences Solutions, Salesforce Manufacturing Automotive Energy
AI Yes Gen AI No
12Jun

AI Yes Gen AI No

The race in generative AI may conclude sooner than anticipated, despite it barely starting for most. Consider the role of generative AI as a supportive assistant, aiding users across dashboards, messaging platforms, and datasets by summarizing documents, chats, and answering queries in natural language. AI Yes Gen AI No. At PegaWorld, significant attention was drawn to Pega’s Knowledge Buddy, an assistant integrated with LLM, specifically OpenAI on Azure, tailored to organization-specific data. CTO Don Schuerman emphasized the practicality of Pega’s solution: “Knowledge Buddy solves many enterprise problems, but it’s not the only RAG-based product out there. Everyone’s got one.” Indeed, major companies each boast their AI assistants: Adobe with AI Assistant, Salesforce with Einstein Copilot, Microsoft with Copilot, HubSpot with various AI assistants, Oracle’s Digital Assistant, and SAP’s Joule. Possessing an AI assistant is now a necessity, not a differentiator, as it has become standard across competitors. Generative AI tools like text and image generators have garnered public interest due to their accessibility. For instance, tools like Google Gemini enable anyone to create, blurring the lines between creator roles. The prevalence of generative AI across over 14,000 martech products is notable, exemplified by MarTechBot, which leverages AI to answer queries and generate images based on MarTech’s vast archive. While text and image generation capabilities rapidly advance, offering these tools is becoming a norm rather than a novelty. Soon, lacking these capabilities will be akin to a supermarket not selling eggs. Does this signify the end of the AI arms race? While generative AI will continue to evolve, it is becoming ubiquitous as a fundamental requirement. However, it’s crucial to distinguish the generative AI arms race from the broader AI landscape. Non-generative AI, such as predictive analytics and classification AI used in digital asset management systems, plays a critical role. This statistical AI analyzes data at scale to derive insights, recommend products, or guide customers through complex journeys. Pega exemplifies this with its AI-driven decisioning and workflow automation, predicting optimal actions for specific challenges, which is distinct from the generative AI focus seen in competitors like Salesforce, Adobe, and Oracle. Looking forward, while generative AI will permeate everyday applications, the true transformative AI for enterprises might lie in refined predictive AI or fully autonomous AI capable of unsupervised business decision-making. In conclusion, while text and image generation will become commonplace, their revolutionary impact may wane compared to the potential of other AI applications poised to redefine enterprise capabilities. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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June 12, 2024in Generative AI
Salesforce Unlimited+ Edition Explained
30May

Salesforce Unlimited+ Edition Explained

Salesforce Unlimited Plus (UE+) is designed as an advanced offering that incorporates several specialized features tailored for different industries, making it particularly suitable for larger organizations and enterprises that require robust, integrated solutions for complex business processes and customer relationship management. Salesforce Unlimited+ Edition Explained. Target Audience UE+ is targeted toward large enterprises that need extensive CRM functionalities combined with AI and data analytics capabilities. This solution is ideal for organizations that: • Manage complex customer relationships across multiple channels. • Require deep integration of data and processes across departments. • Are looking to leverage advanced AI capabilities for predictive insights and automation. • Need industry-specific solutions that can be customized for unique business requirements. The integration of various Salesforce clouds (e.g., Sales Cloud, Service Cloud, Data Cloud) with enhanced features like AI and specific industry capabilities makes UE+ a comprehensive solution for organizations aiming to streamline their operations and gain a competitive edge through advanced technology adoption. Here are the five Salesforce editions for every purpose: ·Starter/Essentials: Ideal for small businesses, offering basic contact, lead, and opportunity management. ·Professional: Tailored for mid-sized companies with enhanced sales forecasting and automation capabilities. ·Enterprise: Geared towards larger organizations, providing advanced customization, reporting, and integration options. ·Unlimited: Offers comprehensive functionality, customizability, 24/7 support, and access to premium features like generative AI. ·Unlimited Plus: Most robust solution for businesses of all sizes, featuring additional functionalities and enhanced capabilities. Key Considerations: ·Business Size: Consider the number of users and overall business scale when choosing an edition. ·Features Needed: Identify the specific features crucial for your sales, service, or marketing processes. ·Scalability: Choose an edition that accommodates your projected growth and future needs. ·Budget: Evaluate the cost of each edition against its offered features and value proposition. Sales Cloud Unlimited Edition+ Features: Account and Contact Management: Complete visibility of customer profiles including activity history and communications. Opportunity Management: Tracking and details of every sales deal at each stage. Pipeline Inspection: A comprehensive tool that allows sales managers to monitor pipeline changes, offering AI-driven insights and recommendations to optimize sales strategies. Einstein AI Capabilities: Includes tools like Einstein Conversation Insights which transcribe and analyze sales calls, highlighting key parts for review and deeper analysis. Customizable Reports and Dashboards: Enhanced capabilities for building real-time reports and visualizations to track sales metrics and forecasts. Advanced Integration Features: Integration with external data and systems through various APIs including REST and SOAP. Automation and Customization: Extensive options for workflow automation and personalization of user interfaces and customer interactions using the Flow Builder and Lightning App Builder. Developer Tools: Access to tools like Developer Sandbox for safe testing and app development environments. Service Cloud Unlimited+ Features: Einstein Bots: AI-powered chatbots to handle customer inquiries automatically, available 24/7 across various communication channels. Enhanced Messaging: Integration with popular messaging platforms like WhatsApp, SMS, and Apple Messages to facilitate seamless customer interactions. Feedback Management: Tools to gather and analyze customer feedback directly within the CRM. Self-Service Capabilities: Including customizable help centers and service catalogs that allow customers to find information and resolve issues independently. Field Service Tools: Comprehensive management of field operations including work order and asset management. Real-Time Analytics: Advanced reporting features for creating in-depth analytics to monitor and improve customer service processes. Additional features include Data Cloud, Generative AI, Service Cloud Voice, Digital Engagement, Feedback Management, Self-Service, and Slack. Salesforce Unlimited+ for Industries UE+ for Industries: UE+ for Industries includes Unlimited+ for Sales and Service together with industry-specific data models and capabilities to help customers drive faster time to value within their sectors: •Financial Services Cloud UE+ for Sales and Financial Services Cloud UE+ for Service helps banks, asset management, and insurance agencies connect all of their customer data on one platform and embed AI to deliver personalized financial engagement, at scale. •An insurance carrier can use Financial Services Cloud UE+ to connect engagement data like emails, webinars, and educational content with third-party conference attendance, social media follows, and business performance data to understand what is motivating agents, helping drive more personalized relationships and grow revenue with Data Cloud and Einstein AI. •Health Cloud UE+ for Service helps healthcare, pharmaceutical, and other medical organizations improve response times at their contact centers and offer digital healthcare services with built-in intelligence, real-time collaboration, and a 360-degree view of every patient, provider, and partner. •A hospital can use the bundle to quickly create a personalized, AI-powered support center to triage and speed up time to care with self-service tools like scheduling and connecting patients and members with care teams on their preferred channels. •Manufacturing Cloud UE+ for Sales brings together tools for manufacturing organizations to build their data foundation, embed AI capabilities across the sales cycle, and maximize productivity, empowering them to scale their commercial operations and grow revenues. •A manufacturer can now look across the entire book of business to see how companies are performing against negotiated sales agreements and then use AI-generated summaries to determine where to prioritize their time and resources. By Tectonic’s AArchitecture Team 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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May 30, 2024in Generative AI, Salesforce
Salesforce Revenue Summer 24 Release Notes
25Apr

Salesforce Revenue Summer 24 Release Notes

Automate and scale your revenue operations with a robust portfolio of Revenue Cloud products. Use Revenue Lifecycle Management to empower your organization’s sales and revenue management processes. Salesforce Billing offers efficient resolutions to all invoice processing issues. Salesforce Revenue Summer 24 Release Notes. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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April 25, 2024in Salesforce, Salesforce Asset Management, Salesforce CPQ, Salesforce Optimization, Salesforce Revenue Cloud, Salesforce Sales Cloud
Technologies for Field Services
29Mar

Technologies for Field Services

Technologies for Field Services are fast evolving. Here are the four technologies shaping the future of field service: In summary, these technologies are revolutionizing field service operations by enabling predictive maintenance, seamless communication, and smarter decision-making, ultimately improving customer satisfaction and driving business success. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 29, 2024in Salesforce Asset Management, Salesforce Manufacturing Automotive Energy, Salesforce Service Cloud
Data Management and Data Maturity
12Jan

DAMS for Lawyers

Streamlining Legal Document Management with Digital Asset Management (DAM) Systems Legal teams deal with vast amounts of digital documents, including contracts, agreements, and supporting files. Managing this volume of information can be overwhelming, even for the most organized teams. A Digital Asset Management (DAM) system simplifies the process, enabling your team to easily find, access, and collaborate on legal documents. What is DAM for Legal Teams? A DAM system is a centralized platform designed to organize, store, and retrieve digital assets such as documents, images, and videos. For legal teams, it ensures that critical information is securely managed, easily accessible, and shareable among team members, regardless of their location. DAM systems use metadata to catalog digital assets, making them searchable by attributes like document type, date, case relevance, or rights management information. By implementing a DAM system, legal teams can improve efficiency, ensure compliance with legal standards, and better manage intellectual property rights. With robust access controls and versioning features, sensitive legal information remains secure and up-to-date, reducing time spent on administrative tasks and allowing teams to focus on client needs and case strategies. Challenges in Managing Sensitive Legal Documents Traditional document management methods often fall short in protecting confidential information, leaving data vulnerable to unauthorized access, loss, or breaches. Physical storage poses risks like damage or misplacement, while unencrypted digital files can become targets for cyberattacks. Legal teams must also comply with strict regulations governing data privacy, records retention, and information sharing. Non-compliance can result in hefty fines, legal sanctions, and reputational damage. A DAM system addresses these challenges by safeguarding sensitive documents and ensuring compliance with regulatory requirements. Benefits of DAM for Legal Teams Key Features to Look for in a DAM Solution When selecting a DAM system for your legal team, prioritize the following features: Best Practices for Secure Legal Document Management To maximize the effectiveness of your DAM system, adopt these best practices: Frequently Asked Questions 1. What are the risks of not using a DAM system for legal document management?Without a DAM system, legal teams risk unauthorized access, data loss, and non-compliance with regulatory standards, potentially leading to fines and reputational damage. 2. How does a DAM system help legal teams comply with data privacy laws?DAM systems include features like encryption, access controls, and audit trails, which are essential for meeting data privacy regulations such as GDPR or HIPAA. 3. Why is encryption important in a DAM system?Encryption ensures that sensitive data is unreadable to unauthorized users, even if intercepted. It should be applied both during data transmission and while at rest. 4. How can legal teams train staff to use DAM systems effectively?Training programs should cover cyber hygiene, security protocols, and role-specific compliance requirements. Regular updates and hands-on practice can help staff become proficient in using the system securely. Conclusion For legal teams, managing sensitive documents securely and efficiently is critical. A Digital Asset Management (DAM) system provides the tools needed to organize, protect, and share legal documents while ensuring compliance with regulatory standards. By implementing a DAM solution and following best practices, legal teams can enhance security, streamline operations, and focus on delivering exceptional client service. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 12, 2024in Data, Laws
Salesforce Asset Managment
05Dec

Create an Asset in Salesforce Asset Management

Assets, such as refrigerators or freezers strategically placed at retail stores or customer locations, serve to enhance sales. As the owner of these assets, you bear responsibility for their maintenance, repair, and required services. Efficient asset management not only reduces customer complaints but also elevates your brand value. Active tracking of asset conditions enables better budgeting, minimizes losses, and ensures employee safety. Create an Asset in Salesforce Asset Management. Assets also may be not for sale items like vehicles, MRIs, or computers etc that you use in the company but have to manage like an asset. The serial number of an asset serves as its unique identifier, generated based on the asset template and type. Asset templates outline generic characteristics, including an asset type with specific details. Admins create templates related to products, ensuring alignment between the asset type and product type. For instance, an asset template like “Single Door Fridge” can be created, with an asset type named “Single Door Fridge in Red.” To facilitate asset service requests, a field service team can utilize customer task templates for tasks such as repair, maintenance, retirement, and replacement. Assets are associated with a sales organization, and the sales org of an asset must match the customer’s sales org. Assets can also be linked to an account and its associated Point of Sales (POS), with distinctions outlined between assets and POS. Create an Asset in Salesforce Asset Management Creating an asset record involves defining details like manufacturer and manufacturing year, with the addition of a serial number or tag for easy identification. Assets can be associated with an account and its related point of sale, or linked to a product to enable sales representatives to place orders. To initiate tracking of products sold to customers, customization of asset page layouts and editing object permissions is recommended. Asset types, treated as Product records, can be created for classification purposes. Effective asset lifecycle management, encompassing planning, acquisition, utilization, maintenance, and disposal, is crucial for organizational efficiency. In Salesforce, assets are created through Salesforce CPQ by selecting “Contracted” on an opportunity or order. The asset creation process varies based on the account’s renewal model and the asset conversion field’s value on the product contracted. Salesforce CPQ, or Configure Price Quote software, empowers sales reps to generate quotes with customized product and pricing configurations based on buyer needs. It synchronizes all interactions with a deal’s documents within the Salesforce CRM. Salesforce asset management allows representatives to track customer purchases relevant to their organization’s products. It provides quick responses to recent purchase inquiries by checking ordered items. The customizable asset management tools by Salesforce are applicable across various industries and offer significant ROI. Linking assets together under parent groupings enhances accessibility, optimizing asset management for a competitive edge and maximum team productivity. Like1 Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more PII Explained Personal Identifiable Information (PII) is defined as: Any representation of information that permits the identity of an individual to whom Read more Best CPQ for Salesforce Many businesses, once they select the best Salesforce CPQ tool for their business, turn to an implementation partner like Tectonic Read more

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December 5, 2022in Salesforce Asset Management, Salesforce CPQ, Salesforce Health and Life Sciences Solutions, Salesforce Manufacturing Automotive Energy
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