Actionable Insights Archives - gettectonic.com
Salesforce’s Marketing Intelligence
25Mar

Salesforce’s Marketing Intelligence

Introducing Salesforce’s Marketing Intelligence: The Future of Marketing Analytics For the past dozen years, many marketers have been enamored with a powerful marketing analytics tool—Datorama, now known as Salesforce Marketing Cloud Intelligence (MCI). Regarded as one of the most seamless solutions for unifying data across multiple sources, MCI was built by marketers for marketers. It enables users to effortlessly combine data, generate reports, and build dashboards using plain language and pre-built data models. Whether for simple smart-lens dashboards or complex automated reporting triggered by specific events, MCI has been a game-changer. To the delight of marketers everywhere, Salesforce announced on March 18, 2025, a new evolution of the tool: Marketing Intelligence (MI). Built on the Salesforce Platform, MI takes the best of MCI and integrates it with Data Cloud’s unified architecture while introducing agentic AI features that deliver actionable, conversational insights. So, without further ado, let’s explore this exciting new tool. What Is Marketing Intelligence? Marketing Intelligence (MI) is a new Salesforce application designed to simplify marketing data management, deliver trustworthy insights, and maximize marketing ROI. Built on Data Cloud and deeply connected to the Salesforce ecosystem, MI is fully extensible—equipping marketers with everything they need to create powerful, meaningful dashboards with minimal effort. Data Cloud for Marketers, Made Easy One of the standout features of MCI has always been its AI-powered data mapping, which auto-populates based on past usage and logical predictions. Additionally, many APIs come with prebuilt models, reducing the need for manual configuration. These capabilities have helped marketers transition smoothly into data modeling and dashboarding without requiring deep technical expertise. Happily, MI retains and enhances these features. Users can upload a TotalConnect file (a flat file of their choice) or connect via API—with options like Google Ads available at launch and more integrations coming soon. Selecting a connection like Google Ads pulls in formatted data, ready for quick mapping, allowing users to build dashboards in just three clicks. Clean, Intuitive Dashboards MI’s dashboards are sleek, fast-loading, and prebuilt—yet fully customizable. A major upgrade over MCI is the inclusion of generative AI summaries, which analyze campaigns and highlight what’s working (and what isn’t). This feature represents the future of dashboarding: not just displaying data trends but explaining them in plain language and suggesting next steps. Marketers can even ask their AI agent to take action based on these insights, streamlining optimization like never before. This functionality is particularly valuable in large implementations where different users extract different insights from the same dashboard. Instead of manually interpreting data, marketers can now ask their AI agent for recommendations—saving time and reducing guesswork. Harmonized Data Across Channels The core goal of any marketing analytics tool—whether Data Cloud, MCI, or MI—is to unify cross-channel data into actionable insights. Beyond standardized API mapping, MI harmonizes fields across datasets and uses a semantic model to logically connect data (e.g., aligning campaign names across paid media, CRM, and other tools—even when naming conventions differ). For Existing MCI Users: What’s New? Many longtime MCI users may wonder: Can a new version really live up to the original? The answer? Absolutely. Here’s why: 1. Normalization, Simplified In MCI, joining messy and clean data often requires manual effort—using formulas or restructuring campaigns. MI changes that. With Einstein AI-powered normalization, users can automatically standardize data without manual adjustments, making cross-channel reporting smoother than ever. 2. Semantic Modeling Flexibility While MCI offers prebuilt data models, MI introduces semantic modeling, allowing users to define custom relationships across datasets. This means greater flexibility in structuring data, adding fields, and evolving models as business needs change—all while maintaining seamless integration with Salesforce objects. 3. ROI & Attribution, Supercharged The best MCI implementations tie cost/engagement data to real ROI. MI takes this further by integrating with Sales Cloud objects, enabling clearer ROI visualization. Additionally, attribution modeling is now more robust, with support for first- and last-touch attribution—helping marketers validate performance and optimize spend. For New Users: Why Choose MI? 1. Best-in-Class Data Harmonization MCI has long been the gold standard for unifying marketing data. Now, MI enhances this with Data Cloud integration, AI normalization, and three-click setup—making it the ultimate solution for marketers. 2. Smarter, Faster Visualizations While MCI offers strong visualization options, MI improves on two key pain points: 3. Unmatched Customization Want to dynamically rename campaigns, merge traffic sources, or filter data based on custom logic? MI makes it possible with pattern extraction, semantic-layer calculated fields, and Einstein normalization—giving marketers unprecedented control. A New Era for Marketing Analytics Marketing Intelligence launched on March 18, 2025 (requiring Data Cloud and MI licenses). Marketers eager to explore this next-generation tool should contact their Salesforce account executive. MI represents a leap forward in intelligent dashboarding, streamlining marketing data in ways MCI only hinted at. For data-driven marketers, the future is here—and it’s more powerful than ever. 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

Read More
March 25, 2025in Agentic AI, Data, Generative AI, Google, Marketing Intelligence, Salesforce, Salesforce Marketing Cloud0 Comments
21Mar

Salesforce and Singapore Airlines

Singapore Airlines (SIA), a Headline Partner of the APEX FTE Asia Expo in Singapore on 11-12 November 2025, is teaming up with Salesforce to co-develop cutting-edge Artificial Intelligence (AI) solutions for the airline industry. This collaboration, centered at the Salesforce AI Research hub in Singapore, aims to deliver greater value and innovative benefits to the sector. As part of this initiative, SIA is integrating Salesforce’s Agentforce, Einstein in Service Cloud, and Data Cloud into its customer case management system, enabling the airline to provide more consistent, personalised, and efficient service to its customers. SIA will deploy Agentforce, an AI system that uses autonomous agents to handle specific tasks, streamlining customer service operations. This allows SIA’s customer service representatives to focus on delivering enhanced, personalised attention during customer interactions. Data Cloud, Salesforce’s hyperscale data engine, powers Agentforce by consolidating relevant data, enabling AI agents to provide customer service representatives with tailored advice and solutions, further enhancing the customer experience. Mr. Goh Choon Phong, Chief Executive Officer of Singapore Airlines, highlighted the airline’s commitment to innovation: “As the world’s leading digital airline, Singapore Airlines is dedicated to investing in and leveraging advanced technologies to enhance customer experiences, improve operational efficiencies, drive revenue generation, and boost employee productivity. Over the past 18 months, the SIA Group has been an early adopter of Generative AI solutions, developing over 250 use cases and implementing around 50 initiatives across our end-to-end operations. Salesforce is a pioneer in Agentic AI, and integrating Agentforce, Einstein in Service Cloud, and Data Cloud into our customer case management system marks the first step in our collaboration. Together, we will co-create AI solutions that drive meaningful and impactful change, setting new standards for service excellence in the airline industry.” In addition to Agentforce, SIA will utilise Einstein Generative AI capabilities within Service Cloud to summarise customers’ previous interactions with the airline. This feature provides customer service representatives with actionable insights, enabling them to better understand and anticipate customer needs, tailor solutions, and reduce average response times. The result is a more efficient, proactive, and personalised customer service experience. Marc Benioff, Chair and Chief Executive Officer of Salesforce, emphasised the transformative potential of this partnership: “The rise of digital labour, powered by autonomous AI agents, is not just reimagining the customer experience – it’s transforming business. We’re thrilled to partner with Singapore Airlines, a trailblazer in this AI revolution, to elevate their already outstanding customer service to unprecedented heights, augment their employees, and collaborate on groundbreaking AI solutions for the airline industry. With our deeply unified digital labour platform, we’re bringing humans together with trusted, autonomous AI agents, unlocking new levels of productivity, innovation, and growth.” This collaboration between Singapore Airlines and Salesforce represents a significant step forward in the airline industry’s adoption of AI-driven solutions. By combining SIA’s industry expertise with Salesforce’s innovative AI technologies, the partnership aims to redefine customer service standards, enhance operational efficiency, and set a new benchmark for excellence in the aviation sector. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

Read More
March 21, 2025in Agentforce Platform, Agentic AI, Artificial Intelligence, Data, Generative AI, Salesforce, Salesforce Hospitality Travel and Transportation0 Comments
data cloud and data silos
20Mar

Unify Your Data Silos

Unify Your Data Silos: Deliver Connected, Personalized Experiences 🔹 65% of customers expect businesses to tailor experiences to their evolving needs. (State of Data and Analytics Report, 2023) Have you ever received a marketing promotion for something you just bought? Or had to repeat your purchase history before getting help from customer service? These disjointed experiences frustrate customers and result from data silos that prevent a unified view of the customer journey. With enterprises using over 1,000 applications on average, data ecosystems are highly complex. Many businesses attempt to centralize data in lakes, warehouses, or lakehouses, yet 73% of enterprise data remains unused for analytics (Forrester). Why? Because much of this data stays locked in backend systems, failing to power the real-time applications and workflows that drive customer engagement and business success. Break Down Data Silos to Create Seamless Customer Experiences By unifying your data, you can personalize every interaction—from online reviews and service records to browsing history and purchases. And by securely activating this data within your CRM and AI-driven workflows, you can deliver smarter, faster, and more impactful customer experiences. Unlock Business Growth with Unified Data When your teams have access to a complete, real-time customer profile, they can turn insights into action across every touchpoint: ✅ Sales Teams receive real-time guidance during calls, offering tailored recommendations based on customer behavior.✅ Service Agents proactively address issues with instant alerts and AI-powered resolutions.✅ Marketers deliver personalized, cross-channel messaging, adapting dynamically to customer actions.✅ Retailers optimize shopping experiences by responding in real time to cart abandonment and browsing patterns.✅ IT Teams build real-time apps to detect fraud, assess economic trends, and enhance security. Checklist: Build a 360° View of Your Customer ✅ Basic Data: Demographics, job title, email, and IP address.✅ Interaction Data: Email opens, website visits, CTRs, customer service calls, and social media activity.✅ Behavioral & Attitudinal Data: Purchase history, order values, survey feedback, and online reviews. Turn Raw Data Into Actionable Insights with Data Cloud Data Cloud transforms fragmented data into a single, trusted source of truth, deeply integrated with the Salesforce Platform. It enables organizations to: ✔ Connect and unify all customer data without complex data pipelines.✔ Activate insights in real-time across sales, service, and marketing workflows.✔ Power trusted AI solutions using all enterprise data for better decision-making. See How Formula 1 Uses Data to Drive Fan Engagement 📺 Watch how F1 personalizes fan experiences “With over 500 million fans worldwide, we needed personalized journeys and always-on capabilities.”— Matthew Kemp, Senior CRM & Customer Operations Manager, F1 Checklist: Unite Your Data for Better Customer Experiences ✔ Make data easy to store, manage, and analyze from any source.✔ Think holistically about behavioral, interaction, and attitudinal data.✔ Use a platform that transforms raw data into actionable insights.✔ Audit your systems for data silos causing disconnected experiences.✔ Ensure data is accessible in everyday workflows with trusted solutions like Data Cloud. 📊 Data-driven businesses don’t just manage customer experiences—they revolutionize them. 🚀 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

Read More
March 20, 2025in Data, Enterprise, Salesforce Data Cloud0 Comments
Salesforce Marketing Intelligence
18Mar

Salesforce Marketing Intelligence

Introducing Marketing IntelligenceYour AI-powered marketing analytics solution built on the Salesforce Platform to enhance campaign performance and eliminate wasted spend. OverviewAccessing, harmonizing, and analyzing marketing data remains a highly manual and time-intensive process. Many marketers spend up to a week each month collecting, cleansing, and modeling data for reporting and analysis. As a result, nearly 41% of marketers’ time is consumed by repetitive tasks, leading to delayed performance reporting—when it’s too late to make optimizations that reduce waste and enhance customer value. Marketing Intelligence, our native Salesforce marketing analytics solution, addresses these challenges. Leveraging Data Cloud, Agentforce, Einstein AI, and Tableau Next, it continuously integrates, harmonizes, and transforms third-party marketing performance data into actionable insights—enabling marketers to optimize campaign spend and performance effortlessly. How Marketing Intelligence WorksMarketing Intelligence empowers marketers to seamlessly manage, analyze, and act on performance data—ensuring data-driven decisions that maximize ROI with minimal manual effort. Manage Your Data Marketing Intelligence automates data management with prebuilt connectors, AI-powered enrichment, and a marketing-specific semantic data model. Marketers can connect and harmonize performance data in just three clicks. See a full demo Understand Your Data Marketing Intelligence accelerates insights with out-of-the-box dashboards, built-in attribution reporting, and Agentforce-powered campaign optimization. Act on Your Data Leverage Agentforce to autonomously optimize campaigns around your business goals, 24/7. “We see potential with the future of Marketing Intelligence to drive faster results and deeper analysis by utilizing AI and Agentforce to enhance the platform’s analytical capabilities.”— Spike Therrien, Performance Marketing Lead, Land O’Lakes What’s NextWe’re expanding our unified data and Agentforce capabilities to provide a holistic view of marketing performance across paid, owned, and earned media—directly within the app. Upcoming enhancements include: Stay ahead of the curve with Marketing Intelligence—your AI-powered marketing analytics solution designed to drive efficiency and maximize campaign impact. 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

Read More
March 18, 2025in Data, Google, Google Analytics, Marketing Intelligence, Salesforce0 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. 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

Read More
March 17, 2025in Data, Salesforce, Salesforce Einstein0 Comments
AI-Driven Salesforce Explained
14Mar

AI-Driven Salesforce Explained

AI-driven Salesforce refers to the integration of Artificial Intelligence (AI) into Salesforce’s Customer Relationship Management (CRM) platform to enhance its capabilities, automate processes, and deliver smarter, data-driven insights. Salesforce has embedded AI into its ecosystem through Salesforce Einstein, its proprietary AI technology. Here’s a breakdown of how AI drives Salesforce: 1. What is AI-Driven Salesforce? AI-driven Salesforce leverages machine learning, natural language processing (NLP), predictive analytics, and automation to help businesses make smarter decisions, improve customer experiences, and streamline operations. It transforms raw data into actionable insights and automates repetitive tasks, enabling teams to focus on strategic activities. 2. Key Features of AI-Driven Salesforce a) Salesforce Einstein Einstein is the AI layer built into Salesforce that powers intelligent features across the platform. Key capabilities include: b) AI-Powered Insights c) Personalization d) Automation e) Predictive Intelligence 3. Benefits of AI-Driven Salesforce a) Enhanced Customer Experience b) Increased Efficiency c) Data-Driven Decision Making d) Improved Sales Performance e) Scalability 4. Use Cases of AI-Driven Salesforce a) Sales b) Marketing c) Customer Service d) Commerce 5. The Future of AI in Salesforce In summary, AI-driven Salesforce empowers businesses to work smarter, not harder, by leveraging data and automation to deliver better customer experiences and drive growth. It’s a game-changer for sales, marketing, service, and beyond! Content updated January 2025. 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

Read More
March 14, 2025in Artificial Intelligence, Data, Salesforce, Salesforce Einstein, Technology0 Comments
13Mar

Why Its Good to be Data-Driven

The Power of Data-Driven Decision Making Success in business hinges on the ability to make informed decisions. Every operational aspect, from minor choices like office furniture selection to critical investments such as multi-million-dollar marketing campaigns, is shaped by a series of interrelated decisions. While instinct and intuition may play a role, most business choices rely on relevant data—covering aspects such as objectives, pricing, technology, and potential risks. However, excess irrelevant data can be just as detrimental as insufficient accurate data. Why Its Good to be Data-Driven organization… The Evolution of Data-Driven Decision Making Organizations that prioritize data-driven strategies rely on accurate, relevant, complete, and timely data. Simply amassing large volumes of information does not equate to better decision-making; companies must democratize data access, ensuring it is available to all employees rather than limited to data analysts. The practice of using data to inform business decisions gained traction in the mid-20th century when researchers identified decision-making as dynamic, complex, and often ambiguous. Early techniques like decision trees and prospect theory emerged in the 1970s alongside computer-aided decision-making models. The 1980s saw the rise of commercial decision support systems, and by the early 21st century, data warehousing and data mining revolutionized analytics. However, without clear governance and organizational policies, these vast data stores often fell short of their potential. Today, the goal of data-driven decision-making is to combine automated decision models with human expertise, creativity, and critical thinking. This approach requires integrating data science with business operations, equipping managers and employees with powerful decision-support tools. Characteristics of a Data-Driven Organization A truly data-driven organization understands the value of its data and maximizes its potential through structured alignment with business objectives. To safeguard and leverage data assets effectively, businesses must implement governance frameworks ensuring compliance with privacy, security, and integrity standards. Key challenges in establishing a data-driven infrastructure include: The Benefits of a Data-Driven Approach Businesses recognize that becoming data-driven requires more than just investing in technology; success depends on strategy and execution. According to KPMG, four critical factors contribute to the success of data-driven initiatives: A data-driven corporate culture accelerates decision-making, enhances employee engagement, and increases overall business value. Integrating ethical considerations into data usage is crucial for mitigating biases and maintaining data integrity. Transitioning to a Data-Driven Business With the rapid advancement of generative AI, data-driven organizations are poised to unlock trillions of dollars in economic value. McKinsey estimates that AI-driven decision-making could add between .6 trillion and .4 trillion annually across key sectors, including customer operations, marketing, software engineering, and R&D. To successfully transition into a data-driven organization, companies must: By embracing a data-driven model, organizations enhance their ability to make automated yet strategically sound decisions. With seamless data integration across CRM, ERP, and business applications, companies empower human decision-makers to apply their expertise to high-quality, actionable insights—driving innovation and competitive advantage in a rapidly evolving marketplace. 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

Read More
March 13, 2025in Data, Generative AI, Technology0 Comments
Predictive Analytics for Business Potential
10Mar

Predictive Analytics for Business Potential

Maximizing Business Potential with Predictive Analytics Every business generates vast amounts of data daily, yet not all leverage it effectively. Predictive analytics transforms raw data into actionable insights, enabling companies to forecast demand, reduce operational costs, and enhance customer engagement. Whether through AI-powered models, machine learning algorithms, or cloud-based analytics, predictive analytics is reshaping business strategies. Organizations that integrate predictive analytics into decision-making can anticipate challenges, seize new opportunities, and outperform competitors. This insight explores the significance of predictive analytics and how businesses can harness its power to gain a competitive edge. The Expanding Influence of Predictive Analytics Predictive analytics is revolutionizing industries, driving innovation, and transforming data into strategic advantages. Transforming Industries with Predictive Analytics Predictive analytics is now a cornerstone of modern industries, facilitating smarter decision-making through data-driven insights. By analyzing historical data, businesses can forecast trends, anticipate customer behaviors, and optimize operations. Sectors such as healthcare, retail, and finance are leveraging predictive tools to maintain competitiveness. For example: As industries adopt these solutions, predictive analytics continues to redefine efficiency and innovation. Key Trends in Predictive Analytics Adoption The widespread adoption of predictive analytics is fueled by advancements in AI, big data, and machine learning. Businesses are capitalizing on these trends to sharpen their competitive edge. Notable developments include: As predictive analytics tools become more sophisticated, they are becoming integral to business strategies, helping companies unlock untapped potential. Overcoming Implementation Challenges Despite its benefits, implementing predictive analytics poses challenges, such as data silos, integration complexities, and skill gaps. To address these issues, organizations should: By overcoming these barriers, businesses can fully harness predictive analytics to drive efficiency, innovation, and growth. Predictive Data Modeling for Smarter Decision-Making Predictive data modeling transforms raw data into strategic insights, improving forecasting and operational decision-making. Understanding Predictive Data Modeling Predictive data modeling employs statistical techniques and machine learning algorithms to analyze historical data and predict future trends. Its core components include: By applying these models, businesses can refine their strategies with data-backed insights, improving efficiency and competitiveness. The Role of Data Quality in Predictive Accuracy The effectiveness of predictive models depends on data quality. Inconsistent or outdated data can lead to unreliable predictions, affecting decision-making. Key steps to ensure high data quality include: High-quality data enhances predictive models, enabling businesses to make informed, confident decisions. Enhancing Forecasting with Predictive Data Modeling Predictive data modeling improves forecasting accuracy by analyzing historical trends and projecting future outcomes. Benefits include: Retailers optimize inventory, while manufacturers align production with demand fluctuations, demonstrating the strategic value of predictive modeling. Driving Business Growth with Predictive Analytics Why Businesses Should Adopt Predictive Analytics Now In today’s competitive landscape, predictive analytics is essential for staying ahead. By leveraging data, algorithms, and machine learning, businesses can anticipate risks and opportunities, optimizing strategies while reducing uncertainty. Retailers, for instance, use predictive insights to forecast seasonal demand spikes, ensuring optimal stock levels. As AI advances, predictive analytics is more accessible than ever, making now the ideal time for adoption. Enhancing Decision-Making and Efficiency Predictive analytics eliminates guesswork, empowering leaders with data-backed decisions. Benefits include: These advantages drive sustainable growth and competitive advantage across industries. Seamlessly Integrating Predictive Analytics into Business Workflows To maximize impact, predictive analytics must integrate into existing workflows. Steps for successful adoption include: By embedding predictive analytics into workflows, businesses enhance agility and decision-making capabilities. AI-Powered Predictive Analytics for Competitive Advantage Why AI Predictive Analytics is Transformative AI-powered predictive analytics delivers insights beyond traditional methods, processing vast datasets rapidly to identify complex patterns and trends. Applications include: With AI continuously learning and refining predictions, businesses gain a dynamic advantage. Enhancing Accuracy with AI AI refines predictions by analyzing diverse data sources, including text, images, and videos. Examples include: Advanced AI techniques, such as natural language processing and neural networks, ensure businesses derive actionable insights, driving smarter strategies and better results. Machine Learning’s Role in Predictive Analytics Machine learning (ML) is foundational to predictive analytics, continuously improving model accuracy. Examples include: By leveraging ML, businesses enhance their predictive capabilities, ensuring long-term competitive success. Enhancing Enterprise Solutions with Predictive Analytics Transforming SAP Systems with Predictive Analytics SAP systems integrated with predictive analytics unlock actionable insights from vast datasets. Benefits include: By embedding predictive capabilities, SAP users can optimize operations and drive proactive decision-making. Empowering Salesforce with Predictive Insights Salesforce predictive analytics enhances decision-making across marketing, sales, and customer service. Key capabilities include: With Salesforce Einstein, businesses can streamline operations, boost performance, and foster deeper customer engagement. Predictive analytics is a game-changer, reshaping industries, optimizing operations, and unlocking new growth opportunities. Businesses that embrace predictive analytics today will be well-positioned to navigate future challenges and lead in the data-driven economy. 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

Read More
March 10, 2025in Data, Enterprise, Salesforce, Salesforce Einstein0 Comments
Achieving AI Success Starts with Data Maturity
05Mar

Achieving AI Success Starts with Data Maturity

True AI success depends on data maturity. But what does that mean in practice? Organizations with high data maturity: The Path to Data Maturity Reaching data maturity requires a strategic commitment to: ✅ Develop a unified data strategy that aligns business and data teams toward common goals.✅ Implement strong data management and governance to ensure accuracy and trust.✅ Leverage advanced data solutions to transform raw data into actionable insights.✅ Prioritize security and compliance to protect data from breaches.✅ Foster a data-driven culture where every employee has the skills to analyze and act on insights. See How John Lewis & Partners Unlocks AI + Data-Driven Personalization “Investing in Salesforce has enabled us to make decisions faster and develop deeper relationships with our customers by providing a more personalized, convenient, and seamless customer experience.” — Libby Hickey, Tableau Product Manager, John Lewis & Partners Assess Your Data Maturity Ready to accelerate your data transformation? 📊 Take the free assessment to: Start your data maturity journey today. Contact Tectonic. 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

Read More
March 5, 2025in Data, Salesforce Data Cloud0 Comments
Make Forecasting Your Competitive Advantage
27Feb

Make Forecasting Your Competitive Advantage

Tired of Guessing Your Sales Pipeline? Make Forecasting Your Competitive Advantage Does forecasting your sales pipeline feel like more guesswork than strategy? You’re not alone. But what if you could transform your sales forecasts into a dependable guide for closing more deals? That’s exactly what Salesforce Forecasting Tools can do. Tectonic is your Salesforce partner for forecasting success! Why Salesforce Forecasting Stands Out Salesforce’s forecasting tools provide clarity, accuracy, and actionable insights to help you make smarter decisions. Here’s what makes them so powerful: Customizable Forecast Categories – Organize your pipeline into meaningful stages like “Pipeline,” “Best Case,” and “Committed” to match your sales process. Real-Time Updates – Stay on top of changes as opportunities progress. When a deal moves to “Closed Won,” your forecast reflects it instantly. Team Collaboration – Managers can fine-tune forecasts with input from their team, ensuring accuracy while maintaining transparency. How Forecasting Helps You Close More Deals Sales forecasting isn’t just about tracking numbers—it’s about taking action where it matters most. Here’s how: 🔹 Prioritize High-Value Deals – Filter opportunities based on their likelihood to close, so your team focuses on the deals with the highest probability of success. 🔹 Spot Risks Before They Derail Deals – Identify stalled opportunities early and take proactive steps to reengage prospects or remove roadblocks. 🔹 Empower Your Sales Reps – Give your team clear, achievable targets. A well-defined forecast removes guesswork and motivates reps to hit their goals. 🔹 Improve Customer Relationships – Forecasting helps you anticipate deal closings, so you can time follow-ups perfectly and keep customers engaged. Quick Tips to Master Salesforce Forecasting Leverage Historical Data – Use past trends to make more accurate sales projections.Customize Your Forecast Layouts – Align forecasting views with your unique sales stages for instant insights.Encourage Team Participation – Regular updates from sales reps lead to more reliable forecasts.Tap Into AI with Einstein Forecasting – Unlock predictive insights by letting AI analyze sales patterns and trends. Take Control of Your Sales Pipeline Whether you’re refining your current forecasting process or just getting started, now is the time to take action. Begin by reviewing your pipeline or explore advanced AI-driven forecasting. Need expert guidance? Contact us 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 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

Read More
February 27, 2025in Data, Salesforce0 Comments
Storing and Querying Log Data with Event Log Objects
25Feb

Storing and Querying Log Data with Event Log Objects

The Event Log Object framework provides a structured way to access event data stored in Salesforce. Unlike Event Log Files, which present event data as downloadable CSV files, Event Log Objects allow users to query event logs directly using SOQL. This approach offers a more integrated and dynamic way to analyze security, performance, and user activity data within Salesforce. Key Features of Event Log Objects Availability and Requirements Enabling Event Log Objects To enable Event Log Objects, follow these steps in Setup: Querying Event Log Data Event Log Objects provide valuable insights through SOQL queries, allowing organizations to track activity across security, application performance, and user engagement. Sample Queries by Use Case Security Analysis Identify users exporting the most rows via reports: sqlCopyEditSELECT UserIdentifier, SUM(RowCount) FROM ReportEventLog WHERE Origin=’ReportExported’ AND DAY_ONLY(Timestamp) > LAST_N_DAYS:10 GROUP BY UserIdentifier ORDER BY SUM(RowCount) DESC Application Performance Monitoring (APM) Track unexpected Apex exceptions by category: sqlCopyEditSELECT ExceptionCategory, COUNT(Timestamp) FROM ApexUnexpectedExcpEventLog WHERE DAY_ONLY(Timestamp) > LAST_N_DAYS:10 GROUP BY ExceptionCategory ORDER BY COUNT(Timestamp) DESC Product Intelligence Determine the most loaded Lightning pages: sqlCopyEditSELECT COUNT(Timestamp), PageUrl FROM LightningPageViewEventLog WHERE DAY_ONLY(Timestamp) > LAST_N_DAYS:10 GROUP BY PageUrl ORDER BY COUNT(Timestamp) DESC Key Considerations Available Event Log Objects Salesforce provides a wide range of Event Log Objects, each designed to capture specific types of system events: Visualizing Log Data with CRM Analytics Organizations can transform raw log data into actionable insights using Salesforce Direct in CRM Analytics. This enables users to: Best Practices for Event Log Objects To maximize the value of Event Log Objects, follow these best practices: By effectively leveraging Event Log Objects, organizations can enhance security monitoring, troubleshoot performance issues, and gain deeper insights into Salesforce activity. For more details on Event Log Objects and their use cases, refer to the Salesforce Object Reference Guide. 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

Read More
February 25, 2025in Data, Enterprise, Hyperforce, Salesforce, Salesforce Shield0 Comments
salesforce agentforce rapid deployment
21Feb

Businesses Face New Challenges

Businesses Face New Challenges: AI as the Key to Better Customer Experiences and EfficiencyModern businesses are under growing pressure to deliver exceptional customer experiences while boosting operational efficiency. To meet these demands, companies are turning to AI-powered solutions at an unprecedented pace. According to Capgemini’s 2024 Report on Harnessing the Value of Generative AI, 82% of organizations plan to integrate autonomous agents into their operations within the next one to three years. Agentforce: Salesforce’s Groundbreaking SolutionDriving this transformation is Salesforce’s Agentforce, launched in late 2024. This cutting-edge platform empowers businesses to build autonomous applications capable of handling customer interactions, automating operational tasks, and enabling employees to focus on strategic priorities. Beyond Chatbots: What Sets Agentforce Apart Unlike traditional chatbots or systems reliant on manual input, Agentforce acts autonomously. It retrieves relevant data, devises actionable plans, and executes tasks seamlessly. Equipped with real-time data capabilities, it adapts dynamically while maintaining compliance with secure, customizable guidelines. Agentforce not only performs tasks efficiently but also ensures contextually relevant and insightful interactions. It transitions tasks to human employees when necessary, providing summarized interactions and actionable recommendations to ensure smooth handoffs. Revolutionizing Customer Service: 24/7 Availability Without Delays Agentforce elevates customer service by engaging with users across various communication channels using natural language. It draws from trusted sources such as CRM systems, internal knowledge bases, and external platforms to deliver accurate and timely responses. For example, customers can use Agentforce to track orders, reschedule appointments, or resolve issues via platforms like WhatsApp or Apple Business Chat. By managing routine inquiries, Agentforce allows human agents to focus on complex, high-empathy issues requiring critical thinking. Supporting Sales Teams: From Lead Nurturing to Closing Deals Sales teams often face time constraints, and Agentforce addresses this by autonomously managing repetitive tasks such as answering product questions, scheduling meetings, and following up with leads. This allows sales professionals to concentrate on high-value deals. Agentforce can also act as an AI sales coach, using CRM data to simulate role-playing scenarios tailored to specific opportunities. This enables sales teams to refine skills like negotiation and objection handling. Notably, organizations that invest in sales coaching report a 16.7% revenue increase, even with minimal managerial input. With Agentforce, this process becomes scalable, offering real-time insights and actionable feedback to enhance performance. Transforming E-Commerce: Personalized Shopping Experiences Agentforce reshapes e-commerce by delivering personalized shopping experiences. Buyer Agents assist customers with natural-language product searches, offering tailored recommendations and enabling conversational reorders via mobile platforms. For returning customers, this creates a seamless, convenient experience. For larger-scale operations, Merchant Agents leverage conversational interfaces to create promotions, analyze store performance, and recommend strategies for improving key metrics. Streamlining Marketing Campaigns with Agentforce Agentforce’s Campaign Agent redefines marketing by automating every stage of the campaign lifecycle. From generating campaign briefs and audience segments to creating personalized content and building customer journeys in Salesforce Flow, the Campaign Agent accelerates workflows with unmatched precision. Using real-time analytics, the Campaign Agent monitors performance and identifies underperforming areas, offering proactive recommendations to optimize campaigns. This eliminates reliance on manual adjustments and ensures campaigns remain agile and effective. Focusing on Strategic Work A key advantage of Agentforce is its ability to handle repetitive tasks, freeing employees to focus on more complex and strategic activities. Whether addressing intricate customer needs, negotiating major deals, or developing innovative strategies, employees can dedicate their energy to driving long-term success. By automating routine processes and providing actionable insights, Agentforce not only enhances operational efficiency but also boosts employee satisfaction. Salesforce’s Bold Vision Salesforce CEO Marc Benioff shared the company’s ambitious goal: “Our vision is to empower one billion agents with Agentforce by the end of 2025. This is what AI is meant to be.” This statement underscores Salesforce’s commitment to delivering transformative AI solutions with tangible impact for businesses worldwide. 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

Read More
February 21, 2025in Agentic AI, Data, Generative AI, Salesforce, Salesforce Flow0 Comments
Agentforce Unveiled
21Feb

Scale Your Marketing with Agentforce

Scale Your Marketing with Agentforce: AI-Powered Automation for Modern Campaigns Traditional marketing systems struggle to keep pace with today’s demand for precision, personalization, and scale. With marketing teams managing complex, multi-platform campaigns, repetitive work quickly becomes a challenge—41% of employee time is spent on low-impact tasks, and 65% of desk workers believe AI will help them focus on more strategic work. Enter Agentforce for Marketers, built with the Atlas Reasoning Engine. These AI-powered agents help businesses scale their workforces on demand, analyzing data, making decisions, and taking proactive action on tasks like answering customer inquiries and qualifying leads. If you’re ready to embrace a new level of efficiency, this Tectonic insight explores how Agentforce can revolutionize your marketing efforts. What is Agentforce for Marketing? Introduced at Dreamforce 2024, Agentforce represents Salesforce’s next evolution in AI. Powered by the Atlas Reasoning Engine, it enhances automation with retrieval-augmented generation (RAG) and contextual decision-making. Salesforce CEO Marc Benioff calls Agentforce “the third wave of AI—moving beyond copilots to highly accurate, low-hallucination customer service agents that actively drive success.” For marketers, this means automation that analyzes vast datasets, connects customer interactions across teams, and provides real-time insights—all while optimizing campaigns, streamlining workflows, and generating personalized content. The Core of Agentforce: Agentforce combines Agent Builder, Model Builder, and Prompt Builder, allowing marketers to: These tools enable seamless, personalized experiences while reducing manual effort. Key Autonomous AI Agents in Agentforce Agentforce’s AI-powered agents cover a wide range of marketing and sales functions, including: Core Features of Agentforce for Marketing Agentforce transforms marketing by delivering AI-driven insights, automating workflows, and personalizing customer experiences at scale. 1. AI-Driven Campaign Insights Agentforce integrates Salesforce Data Cloud and Marketing Cloud Intelligence to analyze customer behavior patterns, optimize targeting strategies, and improve campaign performance. 💡 Only 32% of marketers say they effectively use customer data for personalization. Agentforce closes this gap by providing real-time, actionable insights. 2. Real-Time Data Integration By consolidating insights from CRM records, external platforms, and unstructured sources, Agentforce ensures AI-driven recommendations power marketing automation and personalization. ✅ Example: OpenTable used Agentforce’s data-driven insights to boost customer engagement and increase case resolution rates. 3. Automated Campaign Workflows Agentforce eliminates repetitive tasks like email follow-ups, social media posts, and ad placements, allowing teams to focus on strategy. 💡 Marketers can set up automated email sequences that trigger based on customer behavior—without manual intervention. Use Cases: How Marketers Leverage Agentforce 1. Personalized Email Campaigns Agentforce analyzes customer interactions to send hyper-targeted emails based on past purchases, browsing history, and engagement. ✅ Example: An online retailer sends tailored product recommendations based on recent searches, increasing conversion rates. 2. Omnichannel Campaign Management Agentforce synchronizes messaging across email, social media, and ads, ensuring consistency across platforms like Marketing Cloud and Facebook Ads Manager. ✅ Example: A product launch campaign can automatically schedule email announcements, social media posts, and search ads—all aligned in messaging. 3. Advanced Audience Segmentation Using AI-powered behavioral analysis, Agentforce creates refined audience segments to deliver hyper-personalized marketing. ✅ Example: A luxury retailer identifies VIP customers likely to attend exclusive events and sends personalized invitations. 4. Performance Tracking & Optimization Agentforce continuously monitors engagement metrics, offering AI-driven recommendations for campaign improvements. 💡 This allows marketers to adjust strategies in real time, maximizing impact. Challenges & Considerations 1. Adapting to AI-Powered Marketing Many professionals feel unprepared for AI-driven tools. Organizations should invest in training programs to ease adoption and leverage Salesforce’s low-code tools for a smoother transition. 2. Ethical & Sustainable AI Implementation Responsible AI use is critical. Agentforce includes features to:✅ Mitigate bias in AI-driven processes.✅ Reduce environmental impact by optimizing hardware usage.✅ Ensure accuracy with real-time, dynamic data. 💡 Salesforce’s AI Red Teaming and Ethical AI Maturity Model help businesses implement AI responsibly. The Future of Marketing with Agentforce Agentforce is redefining marketing automation, eliminating repetitive tasks, enhancing personalization, and driving smarter decision-making. If you’re ready to scale your marketing with AI-powered efficiency, Agentforce is your next competitive advantage. 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

Read More
February 21, 2025in Data, Marketing Automation, Salesforce, Salesforce Data Cloud0 Comments

Subscribe to our mailing list. Join our mail list to receive our newsletter

We'll keep you up to date with our latest news, insights, free resources, and much more.
Don't worry, we won't spam you.
gettectonic.com