Data Cloud Archives - gettectonic.com - Page 21
ChatGPT and Einstein GPT
08Nov

ChatGPT and Einstein GPT

Artificial intelligence (AI) has been rapidly advancing globally, with breakthroughs captivating professionals across various sectors. One milestone that has gained significant attention is the emergence of ChatGPT, a cutting-edge language model revolutionizing the tech landscape. This development has profoundly impacted businesses relying on Salesforce for their customer relationship management (CRM) needs. In March 2023, Salesforce unveiled its latest AI innovation, Einstein GPT, promising to transform how companies engage with their clientele. In this article, we explore what Salesforce Einstein GPT entails and how it can benefit teams across diverse industries. When OpenAI introduced ChatGPT in November 2022, they didn’t expect the overwhelming response it received. Initially positioned as a “research preview,” this AI chatbot aimed to refine existing technology while soliciting feedback from users. However, ChatGPT quickly became a viral sensation, surpassing OpenAI’s expectations and prompting them to adapt to its newfound popularity. Developed on the foundation of the GPT-3.5 language model, ChatGPT was specifically tailored to facilitate engaging and accessible conversations, distinguishing it from its predecessors. Its launch attracted a diverse user base keen to explore its capabilities, prompting OpenAI to prioritize addressing potential misuse and enhancing its safety features. As ChatGPT gained traction, it caught the attention of Salesforce, a leading CRM provider. In March 2023, Salesforce unveiled Einstein GPT, its own AI innovation, poised to transform customer engagement. Built on the GPT-3 architecture and seamlessly integrated into Salesforce Clouds, Einstein GPT promised to revolutionize how businesses interact with their clientele. Einstein GPT boasts a range of features designed to personalize customer experiences and streamline workflows. From generating natural language responses to crafting personalized content and automating tasks, Einstein GPT offers versatility and value across industries. By leveraging both Einstein AI and GPT technology, businesses can unlock unprecedented efficiency and deliver superior customer experiences. Despite its success, OpenAI acknowledges the need for ongoing refinement and vigilance, emphasizing the importance of responsible deployment and transparency in the development of AI technology. Exploring Einstein GPT Salesforce presents Einstein GPT as the premier generative AI tool for CRM worldwide. Utilizing the advanced GPT-3 architecture, Einstein GPT seamlessly integrates into all Salesforce Clouds, including Tableau, MuleSoft, and Slack. This groundbreaking technology empowers users to generate natural language responses to customer inquiries, craft personalized content, and compose entire email messages on behalf of sales personnel. With its high degree of customization, Einstein GPT can be finely tuned to meet the specific needs of various industries, use cases, and customer requirements, delivering significant value to businesses of all sizes and sectors. Objectives of Salesforce AI Einstein GPT Salesforce AI Einstein GPT is designed to achieve several key objectives: Distinguishing Einstein GPT from Einstein AI Einstein GPT represents the latest evolution of Salesforce’s Einstein artificial intelligence technology. Unlike its predecessors, Einstein GPT integrates proprietary Einstein AI models with ChatGPT and other leading large language models. This integration enables users to interact with CRM data using natural language prompts, resulting in highly personalized, AI-generated content and triggering powerful automations that enhance workflows and productivity. By leveraging both Einstein AI and GPT technology, businesses can achieve unparalleled efficiency and deliver exceptional customer experiences. Features of Einstein GPT in Salesforce CRM Key features and capabilities of Salesforce Einstein chatbot GPT include: Utilizing Einstein GPT for Business Improvement Einstein GPT can be leveraged across various domains to enhance business operations: Integration with Salesforce Data Cloud Salesforce Data Cloud, a cloud-based data management system, enables real-time data aggregation from diverse sources. Einstein GPT utilizes unified customer data profiles from the Salesforce Data Cloud to personalize interactions throughout the customer journey. OpenAI on ChatGPT Methods We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format. To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process. ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure. Limitations ChatGPT and Einstein GPT Salesforce Einstein GPT signifies a significant advancement in AI technology, empowering businesses to deliver tailored customer experiences and streamline operations. With its integration into Salesforce CRM and other platforms, Einstein GPT offers unprecedented capabilities for personalized engagement and automated insights, ensuring organizations remain competitive in today’s dynamic market landscape. When OpenAI quietly launched ChatGPT in late November 2022, the San Francisco-based AI company didn’t anticipate the viral sensation it would become. Initially viewed as a “research preview,” it was meant to showcase a refined version of existing technology while gathering feedback from the public to address its flaws. However, the overwhelming success of ChatGPT caught OpenAI off guard, leading to a scramble to capitalize on its newfound popularity. ChatGPT, based on the GPT-3.5 language model, was fine-tuned to be more conversational and accessible, setting it apart from previous iterations. Its release marked a significant milestone, attracting millions of users eager to test its capabilities. OpenAI quickly realized the need to address potential misuse and improve the model’s safety features. Since its launch, ChatGPT has undergone several updates, including the implementation of adversarial training to prevent users from exploiting it (known as “jailbreaking”). This technique involves pitting multiple chatbots against each other to identify and neutralize malicious behavior. Additionally,

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November 8, 2022in Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein
Crucial Role of Data and Integration in AI at Dreamforce
10Jun

Salesforce Data Integration

Salesforce Data Integration: A Comprehensive Guide Introduction Salesforce offers numerous tools to access, synchronize, and share data with external systems. However, selecting the right tool for your project is critical. This guide explores Salesforce’s data integration landscape, providing recommendations based on specific use cases—along with guidance on which tools to avoid. Scope of This Guide This decision guide focuses on data-level integrations involving Salesforce, covering: While these are just a subset of integration challenges faced by Salesforce Architects, future guides will address: Note: Many tools discussed here can also solve enterprise-wide integration challenges, but those use cases are beyond this guide’s scope. Key Takeaways Common Considerations for Choosing Data Integration Tools Before selecting a tool, evaluate these key factors: Area to Consider Key Questions Existing Tools & Landscape Is an ESB/ETL solution already in place? Are there compliance requirements? Are systems cloud or on-premise? Data Flow Does data need to move synchronously, asynchronously, or in batches? Should data be replicated? Which system is the source of truth? Implementation What’s the effort for non-Salesforce systems? Which teams will deliver integrations? What tools do they prefer? Maintainability Who will maintain the integration? What skills do they have (or need)? What’s the total cost of ownership? Data Volume Is it a large data volume (LDV) scenario? How frequent are bulk changes? What’s the impact of singleton updates? Limits Are complex transformations needed? Will data be combined from multiple sources? How often will integrations run per user? Overview of Data Integration Tools Tool Salesforce → External External → Salesforce Execution License Required? Apex Actions ✅ Yes ✅ Yes Server-side ❌ No Change Data Capture ✅ Yes ❌ No Server-side ❌ No* Custom Apex (REST/SOAP) ✅ Yes ✅ Yes Server-side ❌ No External Services ✅ Yes ❌ No Server-side ❌ No Generic Events (Legacy) ✅ Yes ❌ No Server-side ❌ No** Heroku Connect ✅ Yes ✅ Yes Server-side ✅ Yes MuleSoft Anypoint ✅ Yes ✅ Yes Server-side ✅ Yes MuleSoft Composer ✅ Yes ✅ Yes Server-side ✅ Yes Native Salesforce APIs ❌ No ✅ Yes Server-side ❌ No OmniScript ✅ Yes ✅ Yes Client-side**** ✅ Yes OmniStudio Integration ✅ Yes ✅ Yes Server-side ✅ Yes Outbound Messaging ⚠️ Not Ideal ❌ No Server-side ❌ No Platform Events ✅ Yes ✅ Yes Server-side ❌ No*** PushTopic (Legacy) ⚠️ Not Ideal ❌ No Server-side ❌ No** Salesforce Connect ✅ Yes ✅ Yes Server-side ✅ Yes ✅ = Recommended | ⚠️ = Possible but consider alternatives | ❌ = Not supported Notes: Other Tools (Not Primary Integration Solutions) While these tools support aspects of data movement, they should not be the foundation of an integration strategy: Final Recommendations By aligning the right tool with your use case, you can optimize performance, reduce technical debt, and ensure scalable integrations. Content updated April 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

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June 10, 2022in Data, Enterprise, Mulesoft, Salesforce, Salesforce Flow
Salesforce Data Cloud
11Apr

Drive Sales and Service With Real Time Data

Sales and Service Personalization: drive sales with real time data Enhance customer and prospect interactions by integrating real-time engagement data directly into your sales and service consoles. Provide service teams with the ability to proactively address queries and deliver effective case resolutions by swiftly accessing a customer’s recent interactions across diverse business touchpoints. Empower your sales teams with deeper insights into an account or prospect’s purchase journey, enabling more relevant conversations and offers based on real-time knowledge of consumed content, viewed products, or time spent on your site. Know your buyers. Attain a comprehensive view of your buyers by combining 1st and 3rd party data with the robust capabilities of Salesforce’s industry-leading Customer Data Platform (CDP). Imagine closing prospects instantly. With real-time data, it’s possible! Real-time sales data enables you to identify recent changes, such as mergers, acquisitions, new job openings, or promotions. Equip your sales team with a competitive advantage, allowing them to promptly contact potential customers and initiate sales activities. So, what is real-time data, how does it work, and how can you implement it without a complex data infrastructure? This article explores all these aspects and highlights the benefits of utilizing accurate B2B data for real-time sales. What is real-time data? Real-time data refers to immediate and continuous access to information about sales activities, customer interactions, and market trends. For your sales and marketing teams, this means capturing, analyzing, and utilizing up-to-date data to make informed decisions, enhance sales processes, create personalized experiences, and strengthen customer relationships. Real-time data is crucial because it offers numerous benefits for B2B businesses. This insight will explore some tangible benefits that real-time data can provide for your company: Access up-to-the-minute information on customer behaviors, preferences, and buying patterns, allowing your B2B sales team to engage with prospects immediately. Real-time insights into events like funding, promotions, or team expansions can trigger timely sales activities, such as emails, LinkedIn messages, or call invitations. Immediate updates from real-time sales insights enable businesses to adjust pricing based on market fluctuations or competitive moves. Real-time data collection helps track competitor pricing, customer demand, and inventory levels, allowing for optimized pricing strategies and instant adjustments with minimal effort from your sales team. Incorporate robust key management for data security to safeguard sensitive information and avoid additional risks. When a prospect expresses interest or takes specific actions, such as visiting a website or filling out a form, you can immediately engage with them. Define sales triggers and actions, such as emailing to schedule a demo after a prospect visits your pricing page. Real-time data processing allows for automated nurturing of prospects, eliminating the need for manual tracking and outreach. Gain real-time actionable insights into sales performance, leading to accurate sales forecasting. Sales managers can monitor sales data in real time, track progress against targets, adjust strategies, and manage pipeline visibility for more precise financial projections aligned with future financial planning. Instant data offers the opportunity to personalize customer interactions more effectively. Access real-time data analytics on customer preferences, purchase history, and previous interactions to tailor relevant recommendations and provide a personalized customer experience. Real-time data analysis provides instant visibility into sales performance metrics. Sales representatives can monitor their performance, including call activity, conversion rates, and revenue generated, in real time. Immediate feedback enables reps to course-correct, improve sales techniques, and achieve better results. By monitoring real-time market trends, competitor activities, and customer feedback, sales managers can make data-driven decisions, adjust sales strategies, and seize emerging opportunities. Business intelligence tools offering real-time data services help sales teams promptly address customer issues or concerns. By tracking customer behavior, feedback, complaints, and inquiries in real time, sales reps can proactively contact customers and help resolve issues. How does real-time data work? Real-time data involves capturing specific actions on the go, such as customers’ activities on your website or offsite, like visiting sales pages, checking your company’s LinkedIn profile, or exploring similar sites. Events are collected before storing any information, allowing for instant management of sales data and predictive analytics. Marketing and Sales Use of Real-Time Data: Updating lead records in real time results in better sales performance and cost savings across the entire business. Real-time big data can be used in various ways for better business decisions, such as: Examples of Real-Time Data: Real-time intent data helps identify potential customers actively researching or showing interest in products like you are selling. This data can be gathered from various sources, including website tracking, social media monitoring, and content consumption patterns. Ultima used a real-time data solution to access intent data and direct dials, resulting in ROI in just 8 weeks. Real-time data is a valuable asset for B2B businesses, offering timely opportunities, dynamic pricing, immediate lead engagement, accurate forecasting, personalized customer interactions, instant sales performance insights, agile sales strategies, and prompt issue resolution. Understanding how real-time data works and leveraging it effectively can significantly enhance the performance and efficiency of your sales and marketing teams. How do you use data to drive sales? What is an example of a data-driven sales? A B2B company that manufactures and sells industrial equipment can use a data-driven approach that involves analyzing purchasing data from their CRM, tracking industry trends, and using customer feedback surveys to understand what customers truly value. To drive sales with real time data, you need a tool like Salesforce and Salesforce Data Cloud. A real-time data sales strategy is a strategy that focuses on delivering immediate responses from customers. The methodology of real time selling is a way for brands to interact with their customers using stuff that’s actually happening at that time. The real time sales are based on insights into a customer’s online actions. The insights are analyzed and utilized quickly with AI. Drive sales real time data. 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

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April 11, 2022in Einstein Insights, Salesforce, Salesforce Commerce Cloud, Salesforce Sales Cloud, Salesforce Service Cloud
Salesforce Sales Enablement
02Nov

Customers Re-Evaluate Their Priorities

Compounding factors such as inflation and technological advancements are prompting individuals to reconsider their priorities. While impacting how and where they allocate their finances, it directly impacts businesses as well.. A substantial 62% of consumers have recently reevaluated their priorities, with the cost of living ranking as the primary influencer and obtaining better deals being the most common reason for brand switches. Customers Re-Evaluate Their Priorities and vote with their money. While financial considerations remain a focal point, customers are not solely driven by the pursuit of cost-effectiveness. Other crucial factors include product quality and the overall customer experience. Remarkably, 80% of customers emphasize that the experience provided by a company is as significant as the products and services offered. While companies are burdened by this trend it also emphasizes the need for technology. Marketing automation and personalization. Knowing enough about your customer to reach them with the right message at the right time on the right channel. Enter Salesforce Salesforce Omnichannel is a flexible and customizable Salesforce feature. It helps businesses to seamlessly connect with customers across multiple channels, be they physical stores, email, chat, social media, phone, or SMS. And best of all, anyone can implement the omnichannel approach without coding knowledge! Salesforce Personalization learns everything about your customer and presents them with personalized offers and messaging how they want it when they want it where they want it. Salesforce Marketing Cloud provides marketing automation power. Salesforce Sales Cloud serves customers with ease. Salesforce Data Cloud stores the customer information from all business sources and drives interaction powered by AI. Attitudes Shift Over two years into the global pandemic, a shift in attitudes towards work, home, spending, interactions, and well-being is evident among many Americans. The majority now express a preference for spending on experiences rather than products, with a focus on home-centered activities. Additionally, there is a notable inclination towards in-person interactions rather than substituting them with digital services. This “great rethink” emphasizes that post-pandemic society is unlikely to revert to its previous state. A pivotal aspect of this great rethink is the evolving attitude towards work. While the initial stages of the pandemic saw individuals deprioritizing work due to stress, burnout, and remote work, new economic realities have set in. Customers Re-Evaluate Their Priorities Rising living costs and the possibility of a recession are causing a shift in sentiment, with fewer Americans viewing deprioritizing work as an affordable luxury anymore. Consumer sentiment regarding an improved work-life balance is showing signs of reversal, with the percentage of those feeling they have more time to enjoy today decreasing from nearly 70% in September 2021 to 51% in May 2022. A recent survey conducted by Accenture, encompassing 25,000 consumers across 22 countries, sheds light on how the pandemic has prompted a reevaluation of consumer purchasing behavior. Accenture identifies a segment of consumers called “Reimagined,” representing those who have changed their buying habits across various industries. These consumers expect companies to understand and address their changing needs during disruptive times, with a significant portion expressing disappointment in companies that have not provided adequate support. Considering these insights, Accenture identifies five purchasing motivations that align with consumers’ desires for improved well-being and confidence in the products, services, and companies they engage with. These motivations – health and safety, service and personal care, ease and convenience, product origin, and trust and reputation – carry implications for businesses, including those in the events industry. Impact on Events Applying these motivations to the context of business events, event organizers must prioritize safety protocols, personalize communications, provide digital and hybrid event options, incorporate sustainability practices, and build trust through consistent alignment with organizational values and mission statements. As consumers remain open to new experiences, now is an opportune time for experimentation and innovation within the events landscape. Salesforce to the Rescue If amidst this great re-think you are re-thinking how you do business, contact Tectonic today to learn how Salesforce could be the solution you need. Content updated November 2023. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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November 2, 2021in Salesforce
Quest to be Data-Driven
14Jul

Quest to be Data-Driven

“Data-driven” is a business term that refers to the utilization of data to inform or enhance processes, decision making, and even the revenue model. The quest to be data-driven is afoot. In recent years, a data-driven business approach has gained a great deal of traction. It is true that every business deals with data — however, data-driven businesses systematically and methodically use data to power business decisions. Incorporating the notion of being a data-driven enterprise enriches the understanding of how data can profoundly impact business operations. Leveraging data not only offers valuable insights but also enhances adaptability, thereby sharpening the competitive edge of an organization. These insights serve as a foundation for making market predictions and adapting business strategies accordingly, often leading to revenue growth. While data may not provide solutions to all organizational challenges, embracing a data-driven approach lays a solid groundwork for achieving organizational goals. Data-driven contrasts with decision making that may be driven by emotions, external pressure, or instinct. So, what exactly constitutes a data-driven enterprise? It transcends mere number-crunching; it involves creating sustainable value for customers and innovating efficiently in the digital economy. Encouraging a data-driven approach across all facets of the business is paramount to success. Gaining data insights from data is invaluable. It allows organizations to reshape customer interactions, provided the data is accurate, accessible, and integrated into existing processes. However, many struggle to extract value from their data due to the complexity of transforming raw data into actionable insights. Understanding the hierarchy of data, information, and insights is crucial, as actionable insights drive data-driven success. Furthermore, adaptability emerges as a crucial factor in today’s rapidly evolving landscape. The ability to swiftly respond to changes and leverage data for informed decision-making is paramount. Data-driven insights serve as powerful tools for facilitating change and fostering agility, ensuring organizations remain competitive. Moreover, data serves as a catalyst for revenue generation through various business models such as Data as a Service (DaaS), Information as a Service (IaaS), and Answer as a Service (AaaS). By putting customer satisfaction at the forefront and leveraging data-driven insights, organizations can evolve their products proactively and drive growth. Building a data-driven enterprise involves a strategic approach encompassing nine key steps, including defining end goals, setting tangible KPIs, and fostering a data-driven culture across the organization. However, challenges such as deciding what to track, lack of tools or time for data collation, and turning data into meaningful insights may arise. Overcoming these challenges requires a cultural shift towards data-driven decision-making and the adoption of modern data architectures. Walking (or perhaps running) the data-driven journey with Tectonic involves connecting and integrating various data sources to ensure seamless data flow. By embracing a data-driven approach, organizations can unlock the full potential of their data, driving innovation, enhancing customer experiences, and achieving long-term success in today’s dynamic, rapidly evolving business landscape. Expanding upon this foundation, let’s go deeper into the transformative power of data-driven enterprises across various industry sectors. Consider, for instance, the retail industry, where data-driven insights revolutionize customer experiences and optimize operational efficiency. In the retail sector, understanding consumer behavior and preferences iscrucial to daily, quarterly, and annual success. By harnessing data analytics, retailers can analyze purchasing patterns, demographic information, and social media interactions to tailor marketing strategies and product offerings. For example, through personalized recommendations based on past purchases and browsing history, retailers can enhance customer engagement and drive sales. Moreover, data-driven insights enable retailers to optimize inventory management and supply chain operations. By analyzing historical sales data and demand forecasts, retailers can anticipate fluctuations in demand, minimize stockouts, and reduce excess inventory. This not only improves operational efficiency but also enhances customer satisfaction by ensuring products are readily available when needed. Furthermore, in the healthcare industry, data-driven approaches revolutionize patient care and treatment outcomes. Electronic health records (EHRs) and medical imaging technologies generate vast amounts of data, providing healthcare professionals with valuable insights into patient health and treatment efficacy. By leveraging predictive analytics and machine learning algorithms, healthcare providers can identify patients at risk of developing chronic conditions, enabling early intervention and preventive care. Additionally, data-driven approaches facilitate personalized treatment plans tailored to each patient’s unique medical history, genetic makeup, and lifestyle factors, improving treatment outcomes and patient satisfaction. In the manufacturing sector, data-driven strategies optimize production processes, enhance product quality, and reduce operational costs. By implementing Internet of Things (IoT) sensors and connected devices on the factory floor, manufacturers can collect real-time data on equipment performance, energy consumption, and production efficiency. Analyzing this data enables manufacturers to identify inefficiencies, minimize downtime, and proactively schedule maintenance to prevent costly equipment failures. Moreover, data-driven insights inform process improvements and product innovations, enabling manufacturers to stay competitive in an increasingly globalized market. The ultimately transformative impact of data-driven enterprises extends across various industry sectors, revolutionizing business operations, enhancing customer experiences, and driving innovation. By embracing a data-driven approach and leveraging advanced analytics technologies, organizations can unlock new opportunities for growth, efficiency, and competitive advantage in today’s data-loaded digital economy. Becoming data-driven requires harnessing the full potential of your data, transforming it into actionable insights, and iteratively refining your processes. Remember, data itself is not the ultimate goal but rather a powerful tool to drive informed decision-making and organizational growth. To establish a truly data-driven organization, consider the following nine steps: By following these steps, your organization can effectively harness the power of data to drive innovation, improve decision-making, and achieve sustainable growth in today’s data-driven landscape. Tectonic recognizes the challenges in the quest to be data-driven. We’ve launched a Data Cloud Salesforce Implementation Solution to help you. Content updated May 2024. 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,

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July 14, 2021in Data, Enterprise, Salesforce, Salesforce Data Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Technology
public sector and tribal governent
10Jun

What is BI in Salesforce?

Salesforce BI helps to create fast, digestible reports to help you make informed decisions at the right time. Salesforce Einstein is a leading business intelligence software solution that will help streamline your operations. Read on in this insight to learn how Salesforce BI capabilities including Tableau rank in the Gartner Magic Quadrant. Make the right decision every time using analytics that go beyond business intelligence software. See why Gartner named Salesforce (Tableau) a Leader in the Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms for the 11th consecutive year. Data and analytics leaders must use analytics and BI platforms to support the needs of IT, analysts, consumers and data scientists. While integration with cloud ecosystems and business applications is a key selection requirement, buyers also need platforms to support openness and interoperability. Analytics and business intelligence (ABI) platforms enable less technical users, including business people, to model, analyze, explore, share and manage data, and collaborate and share findings, enabled by IT and augmented by artificial intelligence (AI). For several years, the Magic Quadrant for Analytic and Business Intelligence Platforms has emphasized visual self-service for end users augmented by AI to deliver automated insights. While this remains a significant use case, the ABI platform market will increasingly need to focus on the needs of the analytic content consumer and business decision makers. To achieve this, automated insights must be relevant in context of a user’s goals, actions and workflow. Many platforms are adding capabilities for users to easily compose low-code or no-code automation workflows and applications. This blend of capabilities is helping to expand the vision for analytics beyond simply delivering datasets and presenting dashboards. Today’s ABI platforms can deliver enriched contextualized insights, refocus attention on decision-making processes and ultimately take actions that will deliver business value. In addition to the increasing consumer design focus trend, we see other key market trends, including the need for improved governance of analytic content creation and dissemination, and the demand for a headless, open architecture. For example, a headless ABI platform would decouple the metrics store from the front-end presentation layer, enabling more interoperability with competitive products. ABI platform functionality includes the following 12 critical capabilities, which have been updated to reflect areas of market change, differentiation and customer demand: Gartner added three new critical capabilities as part of our metrics store evaluation criteria this year:  ABI platforms have always been about measurement. For decades, the slicing and dicing of measures by their dimensional attributes was synonymous with the act of performing business intelligence. However, over the last decade, the focus on metrics and measurement was overshadowed by data visualization. As data visualization became the most conspicuous capability, some business executives began to conflate ABI platforms with data visualization — as if ABI platforms are glorified chart wizards. This misconception minimizes much of the work performed and the business value delivered by ABI platforms. Establishing metrics stores as a critical capability to execute makes it clear that defining and communicating performance measures throughout an organization is one of the key purposes of an ABI platform. Analytics collaboration is a combination of many features (such as Slack/Teams integration, action frameworks) that collectively improve an organization’s ability to make decisions with consensus. Data science integration reflects the increasing likelihood that a business analyst may want to use data science to test certain hypotheses, and that data scientists will need to leverage features such as data prep and data visualization. In addition, Gartner is changing “catalogs” to “analytic catalogs” to emphasize a set of requirements that are not being met by ABI platform vendors today. Most large enterprises have thousands of reports built across multiple ABI platforms, but consumers in these organizations have no easy way to access these reports. The name change to analytic catalogs reflects the need for ABI platform vendors to deliver analytic content with the consumer in mind. Three critical capabilities were removed from our evaluation criteria: security, natural language generation (NLG; rolled into data storytelling) and cloud analytics (which will no longer be considered a platform capability, but instead a go-to-market strategy covered in the Magic Quadrant). And one of the security sub-criteria, about the granularity of authorization (e.g., row-based security) has been moved to the enterprise reporting capability. Salesforce (Tableau) Tableau, a Salesforce company, is a Leader in this Magic Quadrant. Its products are mainly focused on visual-based exploration that enables business users to access, prepare, analyze and present findings in their data. CRM Analytics, formerly Tableau CRM, provides augmented analytics capabilities for analysts and citizen data scientists. Tableau has global operations and serves clients of all sizes. In 2022, Tableau reinforced its augmented consumer vision to provide contextualized insights with deeper integration with Salesforce Data Cloud. IT also improved decision intelligence by bringing domain-aware insights into action with Revenue Intelligence and other Salesforce-native apps. The extensible design and x-platform integrations (Salesforce Flow, MuleSoft, UiPath and Looker) further enable composable analytics to bring insights into workflow with agility. Strengths Cautions Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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June 10, 2021in Artificial Intelligence, Data, Enterprise, Google, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Flow, Salesforce Managed Services, Technology
Salesforce CDP Explained
29May

Salesforce CDP Explained

What is a Customer Data Platform (CDP)? A Customer Data Platform (CDP) is one of the most transformative tools in modern marketing. Salesforce CDP Explained. If you’re exploring whether your business needs a CDP and how to begin using one, this guide will walk you through the essentials. CDPs have quickly become a go-to solution in marketing, popping up in reports and strategies everywhere. According to the 2020 State of Marketing Report, 86% of marketers who use CDPs are maintaining or increasing their usage, making many companies wonder: Do we need a CDP too? This insight serves as your step-by-step guide to help you determine whether your business should invest in a CDP, and how to successfully implement one for smarter marketing. What is a CDP? A Customer Data Platform (CDP) is a sophisticated piece of marketing technology designed to collect and organize customer data from various sources into centralized profiles. It helps businesses manage and draw actionable insights from data in real time, making it easier to personalize customer interactions. A typical CDP includes tools for customer data management, marketing automation, multichannel campaign execution, and real-time interaction management. It’s particularly useful when businesses need a database of user-level data to understand customer behaviors across touchpoints. Why Does Your Business Need a CDP? Salesforce CDP Explained CDPs excel in four core tasks: collecting, unifying, activating, and analyzing data. Introducing Salesforce’s CDP: Data Cloud Salesforce’s Data Cloud is a powerful CDP that integrates with Customer 360 to provide real-time customer profiles. It collects and unifies customer data in real time, ensuring businesses can deliver personalized customer experiences and foster stronger relationships. Data Cloud is scalable and designed for businesses of all sizes, with built-in security, compliance, and privacy features through Hyperforce. Benefits of a CDP Beyond basic segmentation, CDPs offer three major benefits: CDPs vs. CRM vs. DMP It’s important to understand the distinction between different data tools. While CRMs focus on managing customer relationships and interactions, and Data Management Platforms (DMPs) handle anonymous data for targeted advertising, CDPs are designed to unify and activate first-party data for personalized marketing. How to Choose a CDP When selecting a CDP, focus on two key areas: insights and engagement. Some CDPs specialize in integrating and analyzing customer data (insights), while others focus on delivering real-time personalized experiences (engagement). Salesforce’s Data Cloud combines both capabilities, offering real-time insights and activation to power personalized experiences across channels. To choose the right CDP for your business, ask these questions: Success Stories with CDPs CDPs have transformed the way businesses engage with their customers. One example involves a regional food and convenience store chain that implemented a CDP to enhance personalized digital experiences. By using customer data to tailor marketing emails and online interactions, the business saw a 16% increase in conversion rates on one of its key products. Getting Started with a CDP CDPs are essential tools for businesses looking to unify customer data, personalize marketing, and drive smarter marketing strategies. To get started, consider building a business case for CDP adoption, assembling a cross-functional team, and researching the right CDP to fit your organization’s needs. The journey to smarter, data-driven marketing begins with the right CDP. Make sure to explore Salesforce’s Data Cloud and other leading platforms to find the best fit for your organization’s growth and success. Content updated April 2023. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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May 29, 2021in Data, Hyperforce, Marketing Automation, Salesforce, Salesforce Data Cloud, Technology
Salesforce roles and responsibilities
11Apr

CRM Cloud Salesforce

What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to provide service and support to their business customers. Salesforce based Service Cloud on its Sales Cloud product, a popular CRM software for sales professionals. Salesforce Sales and Service Clouds are considered core products. Numerous other Salesforce cloud-based products exist. Cloud-based CRM is customer relationship management software that is hosted on the CRM provider’s servers and accessed by its customers through the internet. This kind of software is also called software as a service (SaaS). What is Salesforce Service Cloud, a cloud-based CRM? Salesforce Service Cloud stands as a robust customer relationship management (CRM) platform tailored for Salesforce clients, facilitating seamless service and support for their business clientele. Rooted in Salesforce’s renowned Sales Cloud product, Service Cloud caters to the needs of sales professionals. In essence, a cloud-based CRM, like Salesforce Service Cloud, operates as CRM software hosted on the provider’s servers, accessible to clients via the internet. This software-as-a-service (SaaS) model simplifies access and usage, offering flexibility and scalability to businesses. The SaaS model also makes for ease of implementation and managed services by a third party as everything is accessible in the cloud. Understanding CRM Cloud Salesforce: CRM, or customer relationship management, represents a technology aimed at efficiently managing all interactions and relationships between a company and its customers. The overarching objective is to enhance business relationships, achieved through streamlined processes and improved profitability. When referring to CRM, it typically encompasses a CRM system or platform—a multifaceted tool facilitating contact management, sales management, productivity enhancements, and more. This software zeroes in on nurturing organizational relationships with individual entities, be it customers, service users, colleagues, partners, or suppliers, throughout their lifecycle, spanning from acquisition to support and beyond. The Role of CRM Software: CRM software empowers sales and marketing teams to track and optimize customer interaction journeys, thereby enriching the overall customer experience. By meticulously mapping each touchpoint in the customer journey, CRM solutions bolster customer engagement and satisfaction, fostering long-term relationships. Who Benefits from CRM Software? A CRM system extends its benefits across various business functions, including sales, customer service, business development, marketing, and more. It serves as a centralized repository for customer and prospect information, enabling comprehensive contact management, opportunity identification, service issue resolution, and campaign management. With heightened visibility and data accessibility, teams can collaborate effectively, boosting productivity and driving business growth. The Significance of CRM for Businesses: As the largest and fastest-growing enterprise application software category, CRM software holds increasing importance in modern business operations. Forecasts suggest a substantial surge in worldwide spending on CRM, underlining its pivotal role in organizational strategies centered around customer-centricity and technological enablement. Key Functions of CRM Systems: CRM solutions play a pivotal role in acquiring, retaining, and nurturing customer relationships by organizing and synthesizing customer and prospect data from diverse sources and channels. These platforms facilitate a comprehensive understanding of customer behavior and preferences, driving informed decision-making and personalized engagement strategies. Moreover, modern CRM platforms offer seamless integration with complementary business tools, such as document management, accounting, and surveys, providing businesses with a holistic view of their customers and empowering them to forge stronger relationships and accelerate growth. When people talk about CRM, they usually refer to a CRM system or platform, a tool that helps with contact management, sales management, productivity, and more. Who is CRM software for? A CRM system gives everyone — from sales, customer service, business development, recruiting, marketing, or any other line of business — a better way to manage the external interactions and relationships that drive success. With visibility and easy access to data, it’s easier to collaborate and increase productivity. Everyone in your company can see how customers have been communicated with, what they’ve bought, when they last purchased, what they paid, and so much more. CRM software is increasing in importance as it is the largest and fastest-growing enterprise application software category. Worldwide spending on CRM is expected to reach USD $114.4 billion by 2027. If your business is going to last, you need a strategy for the future that’s centered around your customers and enabled by the right technology. You have targets for sales, business objectives, and profitability. But getting up-to-date, reliable information on your progress can be tricky. How do you translate the many streams of data coming in from sales, customer service, marketing, and social media monitoring into useful business information? More administration means less time for everything else. An active sales team can generate a flood of data. Reps are out on the road talking to customers, meeting prospects, and finding out valuable information – but all too often this information gets stored in handwritten notes, laptops, sticky notes on laptops, or inside the heads of your salespeople. Details can get lost, meetings are not followed up on promptly, and prioritizing customers can be a matter of guesswork rather than a rigorous exercise based on fact. And it can all be compounded if a key salesperson moves on. But it’s not just sales that suffers without CRM. Your customers may be contacting you on a range of different platforms including phone, email, or social media — asking questions, following up on orders, or contacting you about an issue. Without a common platform for customer interactions, communications can be missed or lost in the flood of information — leading to a slow or unsatisfactory response. Salesforce Data Cloud unifies all the data and provides a 360 degree customer view. Even if you do successfully collect all this data, you’re faced with the challenge of making sense of it. It can be difficult to extract intelligence. Reports can be hard to create and they can waste valuable selling time. Managers can lose sight of what their teams are up to, which means that they can’t offer the right support at the right time – while a lack of oversight can also result in a lack of accountability from the

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April 11, 2017in Data, Enterprise, Salesforce, Salesforce Data Cloud, Salesforce Service Cloud, Technology

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