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Microsoft Copilot as “Repackaged ChatGPT”

Salesforce CEO Marc Benioff Criticizes Microsoft Copilot as “Repackaged ChatGPT” Salesforce CEO Marc Benioff took aim at Microsoft’s Copilot AI offerings during Salesforce’s latest quarterly earnings call, dismissing them as a rebranding of OpenAI’s generative AI technology. “In many ways, it’s just repackaged ChatGPT,” Benioff asserted. He contrasted this with Salesforce’s platform, emphasizing its unique ability to operate an entire business. “You won’t find that capability on Microsoft’s website,” he added. Benioff highlighted Agentforce, Salesforce’s autonomous AI agent product, as a transformative force for both Salesforce and its customers. The tool, available on Salesforce’s support portal, is projected to manage up to half of the company’s annual support case volume. The portal currently handles over 60 million sessions and 2 million support cases annually. Agentforce Adoption and Partner Involvement Salesforce COO Brian Millham outlined the significant role of partners in driving Agentforce adoption. During the quarter, global partners were involved in 75% of Agentforce deals, including nine of Salesforce’s top 10 wins. More than 80,000 system integrators have completed Agentforce training, and numerous independent software vendors (ISVs) and technology partners are developing and selling AI agents. Millham pointed to Accenture as a notable example, leveraging Agentforce to enhance sales operations for its 52,000 global sellers. “Our partners are becoming agent-first enterprises themselves,” Millham said. Since its general availability on October 24, Agentforce has already secured 200 deals, with thousands more in the pipeline. Benioff described the tool as part of a broader shift toward digital labor, claiming, “Salesforce is now the largest supplier of digital labor.” Expanding Use Cases and Market Impact Agentforce, powered by Salesforce’s extensive data repository of 740,000 documents and 200–300 petabytes of information, supports diverse use cases, including resolving customer issues, qualifying leads, closing deals, and optimizing marketing campaigns. Salesforce has committed to hiring 1,000–2,000 additional salespeople to expand Agentforce adoption further. Benioff positioned Salesforce as the leading enterprise AI provider, citing its 2 trillion weekly transactions through its Einstein AI product. He claimed Salesforce’s unified codebase provides a competitive edge, unlike rival systems that run disparate applications, potentially limiting AI effectiveness. “This is a bold leap into the future of work,” Benioff said, “where AI agents collaborate with humans to revolutionize customer interactions.” AI Growth Across Salesforce Products AI-driven growth extended beyond Agentforce to other Salesforce products: Millham noted that AI-related $1 million+ deals more than tripled year over year. Financial Highlights For Q3 FY2024, Salesforce reported: Looking ahead, Salesforce expects Q4 revenue between $9.9 billion and $10.1 billion, representing 7%–9% year-over-year growth. The company raised its full fiscal year revenue guidance to $37.8–$38 billion, an 8%–9% increase. Industry and Product Insights Salesforce’s growth was driven by its core clouds and subscription services, with health, life sciences, manufacturing, and automotive industries performing particularly well. However, retail and consumer goods saw slower growth. While subscription revenue for MuleSoft and Tableau decelerated, Salesforce’s broader portfolio continued to deliver robust performance. Benioff concluded by emphasizing the transformative potential of Salesforce’s AI ecosystem: “This is the next evolution of Salesforce—an intelligent, scalable technology that’s no longer tied to workforce growth.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 3, 2024in Data, Enterprise, Generative AI, Mulesoft, Salesforce, Technology0 Comments
Transform Customer Experiences
03Dec

Transform Customer Experiences

How to Transform Customer Experiences with AI and Sub-Second E2E Real-Time Data Sync Introducing Data Cloud’s Sub-Second E2E Real-Time FeatureDeliver hyper-personalized experiences in real time, no matter how or where customers engage with your brand. Exceptional customer experiences hinge on unifying interactions across every touchpoint. Yet, fragmented data dispersed across systems, channels, and clouds often stands in the way. Salesforce Data Cloud eliminates these silos by delivering a synchronized, real-time customer data ecosystem, enabling brands to create personalized, seamless experiences instantly—regardless of how or where customers connect. We’re excited to announce that the Sub-Second E2E Real-Time feature in Salesforce Data Cloud is now available. This innovation processes and analyzes data as it’s generated, empowering brands to make immediate, data-driven decisions. Combined with Einstein Personalization—which leverages advanced machine learning (ML) and rules-based automation—businesses can deliver individualized experiences across all channels, driving deeper engagement and improved outcomes. What is Sub-Second Real-Time? Sub-second real-time refers to the ability to process and deliver data or responses in less than one second, ensuring ultra-low latency and near-instantaneous results. This capability is critical for applications requiring immediate data updates, such as live analytics, responsive user interfaces, and time-sensitive decision-making. The Sub-Second E2E Real-Time feature empowers industries like fraud detection, predictive maintenance, and real-time marketing with instant insights. By synchronizing data across systems, channels, and clouds, Data Cloud ensures a unified, real-time customer view, giving businesses a competitive edge. Real-World Examples of Sub-Second Real-Time in Action 1. Real-Time Web Personalization Imagine a user browsing a website. As they interact with products, Data Cloud instantly captures this activity and updates their customer profile. Using Einstein Personalization, the system processes this data in milliseconds to tailor their browsing experience. For instance, personalized product recommendations can appear as the user clicks, leveraging insights from their behavior across platforms such as websites, point-of-sale systems, mobile apps, and other data sources. This seamless personalization is made possible by Data Cloud’s integrations, including zero-copy ingestion from major data warehouses like Snowflake, Databricks, and Redshift. The result? A continuously updated, 360-degree customer view that enhances every touchpoint. 2. Real-Time Support with Agentforce Now, consider a customer engaging in a live chat for assistance. As they browse, their actions are captured and updated in real time. When they initiate a chat, whether through Agentforce AI agents or human support, the agent has immediate access to their full activity history, updated within milliseconds. This enables the agent to provide tailored responses and solutions, ensuring a frictionless and engaging customer support experience. Why Sub-Second Real-Time Matters From personalization to support, the Sub-Second E2E Real-Time feature in Data Cloud ensures every customer interaction feels relevant, timely, and connected. By bridging the gap between data silos and intelligent automation, businesses can unlock new opportunities to exceed customer expectations—at scale and in real time. Explore how Salesforce Data Cloud can transform your customer experience today. 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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December 3, 2024in Data, Salesforce, Salesforce Data Cloud, Snowflake0 Comments
AI is Revolutionizing Salesforce
29Nov

AI is Revolutionizing Salesforce

AI is Revolutionizing Salesforce: Transforming Sales Teams in the Era of AI Artificial Intelligence (AI) is reshaping the sales landscape, disrupting traditional processes, and redefining how businesses interact with customers. The rapid adoption of AI-native systems is altering how data is captured, how sales teams engage, and how the entire sales cycle is structured. The shift toward AI-driven solutions is fueling unprecedented opportunities for sales organizations to achieve more by doing less manual work. Success in this transformation will favor those who use AI to make smarter, data-driven decisions, shifting the focus from activities to meaningful achievements. From Rolodex to Real-Time Insights: The Evolution of Sales The history of sales is one of continual evolution. From the bartering days of ancient commerce to the introduction of Rolodexes in the mid-20th century, and later to early CRM tools like Act! and Siebel Systems, the industry has always innovated to meet changing customer needs. Salesforce’s arrival in 1999 brought CRM to the cloud, empowering sales teams with unparalleled accessibility. Yet, all these systems had one thing in common—they relied on human input. Logging calls, updating lead statuses, and noting feedback all depended on sales reps’ diligence. That dependency is now being disrupted by AI, which captures and processes data autonomously. AI-Native Systems: Capturing Context Without Human Input AI-native systems represent a seismic shift. Unlike traditional CRMs, these systems capture data in real-time without relying on human intervention. From emails and Slack messages to Zoom calls and social media interactions, AI aggregates unstructured data into actionable insights. This creates a rich, context-driven record of customer behavior, reducing reliance on manual entry and unlocking deeper understanding. Automating the Mundane: Eliminating Data Entry AI is erasing the inefficiencies of manual processes. Sales development representatives (SDRs) once spent countless hours cold-calling, sending follow-ups, and updating records—a monotonous grind that yielded limited value. Today, AI automates these tasks, enabling SDRs to focus on high-impact activities like relationship-building and deal-closing. This automation, often referred to as intelligent pipeline management, identifies prospects, crafts personalized outreach, and schedules meetings—effortlessly managing the early stages of the sales funnel. AI as a Partner: Voice Agents and Real-Time Coaching AI is not just automating tasks; it’s enhancing human performance. AI-powered voice agents can now assist sales reps during live calls by offering real-time coaching. When a prospect raises an objection, the AI provides instant suggestions based on historical data, empowering salespeople to respond more effectively. This real-time guidance helps sales teams navigate complex conversations with confidence, boosting close rates and accelerating results. Personalization at Scale: Tailored Engagement Across Pipelines Personalization has long been a cornerstone of effective sales, but AI has made it scalable. AI tools analyze customer behaviors and preferences, allowing sales teams to tailor messages, proposals, and outreach at an individual level—even for thousands of prospects. From detecting website visits to auto-generating customized content, AI enables hyper-relevant interactions that build stronger connections with leads and customers. Breaking Down Silos: Unifying Sales, Marketing, and Customer Success AI is bridging organizational divides. Historically, sales, marketing, and customer success operated in silos, each pursuing independent goals. AI aligns these functions around a shared understanding of the customer, fostering collaboration and a unified go-to-market strategy. By consolidating data from every customer touchpoint into a single system of record, AI empowers teams to work together seamlessly, ensuring a consistent and coordinated customer experience. Systems of Record for the AI Age: The Importance of Context Unlike traditional CRMs that rely on structured fields, AI-powered systems excel at capturing unstructured data—conversations, social media mentions, and survey responses. These systems provide the context sales teams need to make better decisions. This rich contextual data benefits not just sales but also product development, marketing, and customer success teams, enabling them to refine strategies and create more responsive organizations. Redefining Metrics: From Activities to Achievements Traditional sales metrics often emphasized activity—calls made, emails sent, meetings booked. AI is shifting the focus to outcomes. By tracking the quality and impact of interactions, rather than the volume, sales leaders can better understand what drives success and optimize their strategies accordingly. The Future of Sales: Empowered by AI AI is not replacing salespeople; it’s empowering them. By automating repetitive tasks and delivering actionable insights, AI frees up teams to focus on building relationships, solving problems, and closing deals. To thrive in this new era, organizations must embrace AI as a core part of their strategy. The question for sales leaders is no longer whether to adopt AI but how quickly they can leverage it to gain a competitive edge. Embrace the future of sales—where intelligent systems drive outcomes, and human ingenuity takes center stage. AI is revolutionizing Salesforce by helping businesses improve customer relationships, streamline operations, and make better decisions: 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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November 29, 2024in AI Tools, Artificial Intelligence, Data, Google, Salesforce0 Comments

What Are Sales Channels?

Sales channels are the platforms or methods through which a business sells its products or services to customers. These channels can be direct (e.g., e-commerce sites and retail stores) or indirect (e.g., resellers and marketplaces). Some businesses rely on a single channel, while others use a mix of several.

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November 28, 2024in Data, Generative AI, Salesforce, Technology0 Comments
Agentforce to the Team
27Nov

Salesforce has officially launched Agentforce

Agentforce goes beyond traditional chatbots and copilots, leveraging advanced reasoning to perform tasks like resolving customer issues, qualifying leads, and optimizing marketing campaigns—all without human intervention. Triggered by data changes, business rules, automations, or API signals, Agentforce executes actions independently. Companies like OpenTable, Saks, and Wiley are already harnessing Agentforce to enhance employee productivity, expand their workforce, and elevate customer experiences.

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November 27, 2024in Data, Enterprise, Mulesoft, Salesforce0 Comments
Salesforce Strategies to Improve a Nonprofit
26Nov

Salesforce Strategies to Improve a Nonprofit

Transforming Nonprofit Operations with Salesforce: Lessons from a Real-Life Success Story Actionable insights for nonprofits to streamline operations and amplify impact-Salesforce Strategies to Improve a Nonprofit Running a nonprofit is challenging enough without the added frustration of disjointed systems. Many nonprofits grapple with scattered databases, isolated email tools, and incompatible fundraising platforms, resulting in inefficiencies and operational headaches. When systems operate in silos, teams waste time on manual data entry and backtracking, which hinders program delivery and donor engagement—putting the mission at risk. Enter Salesforce Nonprofit Cloud, a transformative platform designed to centralize operations, improve donor communication, and provide actionable insights. With 93% of Salesforce users reporting positive ROI, the platform empowers nonprofits to focus on what matters most: driving impact. Salesforce can revolutionize nonprofit operations. Case Study: Supporting Families Through Salesforce Client: Children’s Organization for displaced children in Ukraine Mission: To help children separated from their families during the war in Ukraine by providing bilingual, family-narrated audiobooks and beautifully illustrated storybooks. Challenge:While Better Time Stories had a meaningful mission, their operational processes were a roadblock. Their delivery system struggled with: The Approach 1. Goals Set Results With these optimizations, Better Time Stories significantly improved delivery success: Continuous system support ensured seamless operations and enhanced the organization’s ability to meet its mission. Key Strategies for Nonprofits Using Salesforce 1. Automate Donation and Impact Tracking 2. Personalize Donor Journeys 3. Create Custom Workflows 4. Integrate Salesforce with Other Tools 5. Enable Advanced Reporting 6. Build Volunteer and Beneficiary Portals 7. Leverage AI for Strategic Decisions 8. Design Scalable Data Architecture 9. Conduct Regular Health Checks Conclusion Nonprofits need solutions that simplify operations and maximize impact. Salesforce Nonprofit Cloud offers the tools to centralize processes, enhance donor engagement, and drive mission-critical outcomes. By following these strategies and working with an experienced implementation partner, your nonprofit can achieve operational excellence and focus on delivering meaningful results. Ready to transform your nonprofit operations with Salesforce? Let’s make it happen! 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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November 26, 2024in Data, Mulesoft, Salesforce, Salesforce Einstein, Salesforce Experience Cloud, Salesforce Flow, Salesforce Nonprofit Cloud0 Comments
gen z and retail travel
25Nov

Gen Z and Retail Travel Insights

Is Travel Retail Ready for Gen Z? New Research Highlights Gaps in Alignment The latest research from Swiss-based travel retail agency m1nd-set sheds light on the shopping and travel behaviors of Gen Z—a group poised to become the largest segment of traveling shoppers within the next few years. The findings reveal a pressing need for the travel retail industry to better align its offerings with the unique expectations and values of this influential generation. Gen Z: A Generation with Distinct Values and Habits Peter Mohn, CEO and Owner of m1nd-set, emphasized the importance of prioritizing Gen Z consumers, noting their markedly different behaviors compared to other generations. “Like the focus placed on Millennials and Chinese consumers in recent years, it’s critical to give equal or greater attention to Gen Z. This generation exhibits distinct traits, particularly in their consumer habits, lifestyle preferences, and media consumption,” Mohn said. Key insights from m1nd-set’s research include: How Gen Z is Reshaping Travel and Retail The research highlights how Gen Z is redefining the travel industry by prioritizing experiences that are authentic, eco-conscious, and culturally meaningful over traditional luxury goods and activities. “Gen Zs are reshaping tourism,” Mohn explained, “by focusing on flexible, short-haul travel and unique experiences. They spend a significant portion of their budgets on international travel, favoring local and sustainable options over dining or shopping at home. Cultural experiences resonate far more than nightlife or traditional tourism.” Key data points from m1nd-set’s study include: Challenges in Engaging Gen Z in Travel Retail Despite their growing presence, the research highlights key challenges in converting Gen Z travelers into loyal shoppers in duty-free and travel retail spaces: Opportunities for Travel Retail: Winning Over Gen Z Mohn emphasized the vital role of shop floor sales staff in boosting Gen Z conversion rates, noting that interactions with staff positively influence purchase decisions for over 70% of Gen Z shoppers who engage with them. To capture the attention of this discerning generation, m1nd-set recommends that travel retail businesses: A Generation of Growing Influence By 2030, Gen Z and their successors, Gen Alpha, are expected to spend three times as much as all other generations combined. Currently, Gen Z already wields a staggering $200 billion in spending power, solidifying their position as a key demographic for travel retail. However, to fully tap into this potential, the industry must evolve quickly to meet the demands of this purpose-driven, tech-savvy, and sustainability-focused generation. As Mohn concluded, “Travel retail must become more than just a place to shop—it should be an engaging, socially conscious destination that resonates deeply with Gen Z values.” 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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November 25, 2024in Data, Salesforce Hospitality Travel and Transportation0 Comments
Tools to Liberate Salesforce Data
25Nov

Salesforce Chose a Human-First Approach to Promote AI

Why Salesforce Chose a Human-First Approach to Promote AI Salesforce won Gold in the Use of GenAI category at The Drum Awards for Advertising by creatively addressing AI-related concerns while demonstrating the power of responsible AI adoption. Here’s a look at the award-winning campaign. Salesforce Chose a Human-First Approach to Promote AI. The Challenge The rapid adoption of AI last year triggered widespread anxiety. Many professionals felt their jobs were at risk, and concerns grew over AI’s trustworthiness, ethical implications, and potential to replace human talent. Businesses needed to address this apprehension while showcasing the transformative potential of AI in a responsible manner. The Strategy Amid the rising uncertainty, Salesforce saw an opportunity to lead the conversation by aligning the campaign with one of its core values: innovation. Rather than positioning AI as an independent solution, Salesforce sought to show that its true power lies in the hands of creative humans who apply it thoughtfully. The campaign aimed to demonstrate that AI isn’t inherently good or bad—it’s a tool, and its impact depends on how it’s used. Salesforce’s creative and production teams integrated generative AI as an assistant, ensuring that AI enhanced human creativity rather than replacing it. This approach positioned Salesforce as a leader in responsible AI adoption, both within the creative industry and across broader business applications. The Campaign Execution Salesforce embraced a “walk the walk” approach to responsible AI by using generative AI tools to assist, not replace, its human creatives. The result was a campaign that resonated deeply with Salesforce’s target audience of business decision-makers, sparking conversations around trust and innovation. The Results The Ask More of AI campaign achieved exceptional outcomes across various metrics: Salesforce Chose a Human-First Approach to Promote AI By adopting a balanced approach—leveraging AI to enhance human creativity without replacing it—Salesforce successfully addressed AI-related fears while positioning itself as a trusted innovator. The campaign not only elevated Salesforce’s brand but also set a benchmark for responsible AI use in marketing. Through “Ask More of AI,” Salesforce demonstrated that trust and purpose are the cornerstones of unlocking AI’s potential. 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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November 25, 2024in AI Tools, Generative AI0 Comments
healthcare Can prioritize ai governance
22Nov

Salesforce Data Governance

Salesforce Data Governance Best Practices Salesforce provides a centralized platform for managing customer relationships, but without proper data governance, the system can quickly become unmanageable. Data governance ensures the accuracy, security, and usability of the vast amounts of information collected, helping teams make better decisions and maximizing the value of Salesforce investments. By establishing robust processes and policies, organizations can maintain clean, compliant, and reliable data. Here’s an overview of data governance in Salesforce, its importance, and strategies to implement it effectively. What Is Data Governance in Salesforce? Data governance in Salesforce refers to the practices that monitor and manage data accuracy, security, and compliance. Proper governance ensures your Salesforce data remains trustworthy and actionable, avoiding issues like errors, duplicates, and regulatory violations. Key Components of Salesforce Data Governance: Strong governance enables organizations to make informed decisions and unlock Salesforce’s full potential. The Impact of Data Governance on Decision-Making Accurate and well-governed data empowers leaders to make strategic, data-driven decisions. With clean and current records, organizations can: Good governance ensures data integrity, leading to smarter decisions and improved business performance. Principles of Effective Salesforce Data Governance Building a strong data governance framework starts with these core principles: 1. Data Ownership Assign clear ownership of datasets to specific individuals, teams, or departments. Owners are accountable for maintaining data quality, ensuring compliance, and resolving issues efficiently. Benefits include: 2. Monitoring and Compliance Conduct regular audits to ensure data accuracy, detect unauthorized access, and maintain compliance with regulations. Tools like Salesforce’s built-in monitoring features or third-party solutions (e.g., Validity DemandTools) can streamline this process. Audit checks should include: Consistent monitoring safeguards sensitive data and avoids costly fines, particularly in heavily regulated industries like healthcare and finance. Steps to Develop a Data Governance Strategy Techniques for Maintaining High-Quality Data High-quality data is the backbone of Salesforce governance. Apply these techniques to ensure your data meets quality standards: Standardizing Data for Better Governance Data standardization ensures consistency across Salesforce records, improving analysis and operational efficiency. Examples include: Leveraging Data Management Tools Data management tools are essential for maintaining data integrity and enhancing governance. Benefits include: By integrating these tools into your Salesforce processes, you can establish a solid foundation for data governance while boosting operational efficiency. Final Thoughts Effective data governance in Salesforce is critical for maintaining data quality, ensuring compliance, and empowering teams to make strategic decisions. By following best practices and leveraging the right tools, organizations can maximize the value of their Salesforce investment and drive long-term success. 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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November 22, 2024in Data, Salesforce, Technology0 Comments
Value-Based Care Technologies
22Nov

Value-Based Care Technologies

Essential Technologies for Value-Based Care Success As healthcare providers increasingly adopt value-based care, they must invest in the right technologies and resources to succeed in this model, which incentivizes high-quality, cost-effective care. Value-Based Care Technologies tie reimbursement to care quality, making providers accountable for patient outcomes while providing resources to enhance care. As of 2021, nearly 60% of healthcare payments were already tied to value-based models, according to the Health Care Payment Learning and Action Network (HCP LAN). While partnerships can initiate value-based care, providers must invest in the right technology to fully achieve the intended outcomes. Health Information Exchange (HIE) A robust health information exchange (HIE) is fundamental to value-based care, as it enables providers and payers to access high-quality data seamlessly. HIE allows healthcare professionals to share patients’ medical information electronically across organizations, promoting care coordination by giving providers a comprehensive view of patient needs. For patients, HIE enables more informed involvement in their care by making their health data accessible across specialists, labs, and pharmacies. While joining an HIE may involve new technology investments and workflow adjustments, it ultimately enhances provider access to critical health data. Population Health Management Tools Population health management tools help providers assess health outcomes within groups rather than focusing on individuals alone. These tools aggregate and analyze data, allowing practices to identify high-risk patients and create targeted interventions. This not only enhances health outcomes but can also reduce costs by avoiding expensive treatments. Patient engagement tools, such as telehealth and remote patient monitoring, are essential in population health management, especially for monitoring high-risk patients when in-person care is not feasible. Digital surveys integrated within patient portals can provide insights into social determinants of health, adding a broader context to patient needs. Data Analytics Data analytics transform healthcare data into actionable insights across four types: descriptive, diagnostic, predictive, and prescriptive. Providers can use these analytics to reduce hospital readmissions, predict diseases, and identify chronic illnesses. Data integration and risk stratification capabilities are especially valuable in value-based care, enabling providers to track patient health outcomes effectively and prioritize high-risk cases. Artificial Intelligence & Machine Learning AI and machine learning support many data analytics functions, helping identify patient needs and easing administrative burdens. Given staffing shortages and burnout—reported by 63% of physicians in 2021, according to the American Medical Association (AMA)—AI can automate tasks like documentation, charting, and scheduling, allowing providers to focus more on patient care. Additionally, AI-driven automation in revenue cycle management tasks, such as billing and coding, can reduce the administrative workload associated with value-based care. Price Transparency Technology Price transparency empowers patients to seek cost-effective care, a core principle of value-based models. When providers comply with transparency regulations, patients can better understand their costs and make informed decisions. For providers, leveraging price transparency tools ensures compliance and facilitates partnerships with payers by enabling more effective negotiation, which supports the overall goals of value-based care. As healthcare continues shifting to value-based models, investing in these technologies is critical for providers aiming for long-term success. While these tools rdo equire substantial investment, they are essential for improving patient outcomes, optimizing care quality, and ensuring sustainability in value-based care. When evaluating and choosing healthcare technology tools, contact Tectonic for help. 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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November 22, 2024in AI Tools, Artificial Intelligence, Data, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Foundations, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Optimization, Technology0 Comments
Collaborative Business Intelligence
21Nov

Collaborative Business Intelligence

Collaborative BI combines BI tools with collaboration platforms, enabling users to connect data insights directly within their existing workflows. This integration enhances decision-making by reducing misunderstandings and fostering teamwork through real-time or asynchronous discussions about data. In traditional BI, data analysis was handled by data scientists and statisticians who translated insights for business users. However, the rise of self-service BI tools has democratized data access, allowing users of varying technical skills to create and share visualizations. Collaborative BI takes this a step further by embedding BI functions into collaboration platforms like Slack and Microsoft Teams. This setup allows users to ask questions, clarify context, and share reports within the same applications they already use, enhancing data-driven decisions across the organization. One real-life time saver in my experience is being able as a marketer to dig in to our BI and generate lists myself, without depending upon a team of data scientists. Benefits of Collaborative BI Leading Collaborative BI Platforms Several vendors offer collaborative BI solutions, each with unique integrations for communication and data sharing: Collaborative BI bridges data analysis with organizational collaboration, creating an agile environment for informed decision-making and effective knowledge sharing across all levels. 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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November 21, 2024in Data, Salesforce0 Comments
Ready or Not Here AI Agents Come
20Nov

Ready or Not Here AI Agents Come

As organizations embrace the growing presence of AI agents, leaders must address concerns about allowing autonomous systems to operate in sensitive environments. AI agents, often viewed as the future of how enterprises deploy large language models, raise important questions around security and identity management. The rise of agentic AI has been notable in 2024, with Google launching its Vertex AI Agents, Salesforce introducing Agentforce, and AWS rolling out the re Agent for Amazon Bedrock. These agents promise to deliver significant value by executing tasks using natural language commands, reasoning through the best solutions, and taking action without human intervention. However, as Katie Norton, research manager for DevSecOps & Software Supply Chain Security at IDC, highlighted at Venafi’s Machine Identity Conference, AI agents present unique security challenges. Unlike robotic process automation (RPA), AI agents act autonomously, creating a need for secure machine identities, especially as they access sensitive data across multiple systems. Matt McLarty, CTO at Boomi, added that the complexity of managing agentic AI revolves around ensuring proper authentication and authorization. He pointed out scenarios where agents dynamically interact with systems, such as opening support tickets, which require secure verification of agent access rights. While these agents offer significant potential, businesses are not yet prepared to issue credentials for autonomous agents, according to McLarty. The current reliance on existing authentication and authorization systems needs to evolve to support these new AI capabilities. He also emphasized the importance of pairing agents with human oversight, ensuring that access and actions are traceable. As AI advances into its third wave, characterized by autonomous agents capable of reasoning and action, companies need to rethink their approaches to workforce collaboration. These agents will handle low-value, time-consuming tasks, while human workers focus on strategic initiatives. In sales, for example, AI agents will manage customer interactions, schedule meetings, and resolve basic issues, allowing salespeople to build deeper relationships. At Dreamforce 2024, Salesforce unveiled Agentforce, a platform that empowers organizations to build and deploy customized AI agents across service, sales, marketing, and commerce. This suite aims to increase efficiency, productivity, and customer satisfaction. However, for AI agents to succeed, they must complement human skills and operate within established guardrails. Organizations need to implement audit trails to ensure accountability and develop training programs for employees to effectively collaborate with AI. Ultimately, the future of work will feature a hybrid workforce where humans and AI agents work together to drive innovation and success. As companies move forward, they must ensure AI agents understand their limits and recognize when human intervention is necessary. This balance between AI-driven efficiency and human oversight will enable businesses to thrive in an ever-evolving landscape. 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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November 20, 2024in Data, Enterprise, Google, Salesforce0 Comments

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