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Salesforce Data Cloud

Key Components of Salesforce Data Cloud

Salesforce Data Cloud organizes and unifies data across Salesforce and other external data sources.  After ingestion, it can drive personalization and engagement. Components of Salesforce Data Cloud to explore. Data Cloud expands Salesforce capabilities by using the best pieces of the developer-friendly Salesforce Platform and adding a highly scalable infrastructure. Data Cloud is an evolution of Customer Data Platform—which was originally designed for marketers but now caters to broader use cases beyond marketing.  The magic of Data Cloud is in creating experiences that wow customers. Key features and components of Salesforce Data Cloud include: Like Related Posts CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Capture Initial Traffic Source With Google Analytics To ensure the proper sequencing of Tags, modify the Tag sequencing in the Google Analytics preview Tag settings. The custom Read more Snowflake and Salesforce with Embed Snowflake has deepened its partnership with investor Salesforce by introducing two tools that seamlessly connect their cloud-native systems. Snowflake and Read more

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ChatGPT and Einstein GPT

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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Salesforce Data Cloud

What Does Salesforce Data Cloud Do?

Salesforce Data Cloud, formerly known as Salesforce CDP, has rapidly become Salesforce’s fastest-growing, organically-developed product. To understand the vision for Data Cloud, it’s essential to understand the foundational capabilities of CDPs. Salesforce CDP, now part of Data Cloud, has been delivering the following: Customer Disparate Data Consider the typical customer, leaving a robust data trail encompassing engagement data (interactions with marketing journeys, ads, mobile apps) and insight data derived from engagement (won revenue, purchase intent, privacy management). Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. Data Cloud uses all this data normalized for understanding to power your Salesforce ecosystem. Use Data Cloud to create personalized, real-time experiences across Salesforce and beyond. Connect your data sources and define their relationship in Data Cloud. Learn the benefits of using data spaces in Data Cloud. A data space is a logical partition to organize your data for profile unification, insights, and marketing data. A data cloud gives you an infrastructure for efficient data management across multiple systems at any scale. You can ensure data is available to anyone who needs it without compromising data integrity or security. By providing a 360-degree view of the customer lifecycle, Salesforce Data Cloud enables businesses to understand their customers like never before. This comprehensive view is the key to unlocking personalized experiences that resonate with customers on a deeper level, fostering loyalty and driving business growth. Data Cloud shares the purpose and benefits that CDPs deliver – but goes beyond the traditional definition of CDP: Beyond marketing use cases: CDPs are typically targeted at marketers. Data Cloud unifies data for use across all Customer 360 products, and therefore, the myriad of use cases every department will have. Like1 Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

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Salesforce Data Cloud

Data Spaces and Unified Profiles in Salesforce Data Cloud

Efficiently manage and safeguard your data by categorizing it based on brand, department, and region, enabling distinct business processes. Elevate customer interactions through personalized engagement. Facilitated by a comprehensive, unified customer view accessible to your team. Unified Profiles in Salesforce Data Cloud. In the realm of Data Cloud (formerly Salesforce Genie), a data space serves as a logical partition for organizing data. By fostering profile unification, insights, and targeted marketing. A Cloud Profile encompasses pertinent settings for the underlying cloud, including regions, Security Groups, and subnets. Multiple clusters can be deployed to a Cloud Profile over time. Thereby ensuring scalability and adaptability. Identity resolution, a core function of Customer Data Platforms (CDP), involves matching and consolidating disparate data sets. This enables you to pinpoint and link the same individual across various sources and devices. Unified data, represented by a unified data layer, signifies a company’s ability to amalgamate fragmented data sources. Turning them into a singular, central view. This view can manifest as a unified enterprise data lake or a virtual federation of distinct physical data stores. Salesforce distinguishes between CDP and DMP, recommending CDP for organized utilization of first-party data for diverse purposes and DMP for leveraging third-party audiences in digital advertising campaigns. Key considerations for Salesforce CDP implementations involve identifying required data, preparing it for ingestion, and establishing keys for seamless data organization. CDPs are versatile, allowing the combination of structured, unstructured, and semi-structured data. Data can come from various sources like email, social media, loyalty programs, ERP, CRM, and DMPs, facilitating the creation of a unified customer view. Unified Profiles in Salesforce Data Cloud A unified data model (UDM) offers benefits such as standardized storage of records from different vendors, simplified rule implementation, and vendor-agnostic rule application. Unified data is pivotal as it provides a singular source of truth for business operations. The result enabling informed decision-making. This is exemplified in a retail setting, where a unified data store analyzes sales, inventory, and customer data for enhanced product and service strategies. Create Unified Data Key steps to create a unified data model involve identifying data sources. Next is understanding data requirements, defining a standard schema, mapping and transforming data,. Then establishing data integration processes, implementing data governance, documenting the data model, and testing and iterating for continuous improvement. Data Cloud Data Cloud makes it easy for every business to make sense of all their data from any system, channel, or data stream. It integrates data from every step in the customer experience into a unified customer profile record. And that real-time customer profile can be used to instantly create an unprecedented level of personalization, which feels like magic. Everything in this unified customer profile record is visible and actionable across Salesforce’s entire suite of products, including all industry solutions. You can also build custom apps that take advantage of Data Cloud, allowing you to meet customer expectations for apps that reflect their behavior in real time. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Data Cloud

Data Cloud from Salesforce

What is the data cloud in Salesforce? A hyperscale data platform built into Salesforce. Activate all your customer data across Salesforce applications with Salesforce Data Cloud, formerly known as Customer Data Platform (or CDP). Empower teams to engage customers, at every touchpoint, with relevant insights and contextual data in the flow of work. What is the benefit of Salesforce data cloud? Your company can feel confident in your customer data, and know that you’re taking the right steps to engage with your customer base across multiple channels.  The team at Tectonic can help you bring value to your wealth of customer data when you leverage Data Cloud. With Salesforce Data Cloud, automation, intelligence, real-time data, and security aren’t just goals; they make up the foundation of the platform. Data Cloud brings the power of automation, analytics, AI, data, and integration together to create a single view of the customer across any cloud. As a team of certified Salesforce experts with years working within all core and industry clouds, analytics, and customizations across all aspects of the platform, Tectonic can help you understand how Data Cloud fits into your customer experience goals, supports revenue growth, and integrates with your existing data models, data sources, and systems such as Snowflake, Tableau, Slack, and MuleSoft. By Implementing Data Cloud, we can enable you to: Are you taking advantage of SFDC Data Cloud’s customer 360 capabilities when it comes to intuitive, fast, efficient customer service? Data Cloud is the fastest growing organically built product in Salesforce’s history (Salesforce built it themselves, not via acquisitions). Data Cloud could be described as the ‘Holy Grail of CRM’, meaning that the data problem that’s existed since the infancy of CRM is now finally solvable. There are some differences between Genie and Data Cloud. Genie offers a zero-data copy architecture, meaning data can be fetched on-demand without duplicating it on the Salesforce platform. This allows for more flexibility and scalability when handling large amounts of customer data. Is Salesforce Data Cloud a data lake? Your data sitting in the data lake benefits from all of the capability of the Salesforce platform just like it does in the transactional side in Oracle. That means that Data Cloud is now not just a really good CDP, it’s now a data lake which will be used in sales and service use cases. Is Data Cloud free? At Dreamforce 2023, Salesforce announced that Data Cloud free licenses are now included for all Enterprise Edition or above customers so customers can become familiar with the new capabilities and develop use case ideas. There’s never been a better time to partner with Tectonic to explore Salesforce Data Cloud for your business. Content updated November 2023. Like2 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

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Salesforce Data Cloud

Enable Real-Time Decision Making With Unified Data

Goal You use business metrics to guide prioritization of data efforts. Your teams build data sources to address the most critical business questions. Enable real-time decision making with unified data. What it looks like Data owners and business owners form a cross-functional team to identify or create key data sources. Ensure that your data sources align to one or multiple parts of a business process. Use a data lake to centralize, secure, process, and organize large amounts of data so that teams across your entire company can access the unified data they need from a single location. Next, identify critical decision points. Use your data sources to inform these points, explore and model potential outcomes, and measure the impact. Generate insights on crucial business processes. Aggregate data from business processes most impacted by key performance metrics.  Unify your leadership team with data. Structure a workflow where each data owner, business stakeholder, and process expert all have a single view of the data and are assigned to oversee a different, crucial business process.  Audit your data use. Work with leadership teams to identify relevance of existing data sources, and resolve gaps in knowledge to create a complete and unified view of your data. Enable Real-Time Decision Making with Unified Data Build data sources to support key decision points. Support key decision points with data analytics and unified data.  Run experiments with unified data. Achieve incremental improvements by adjusting different factors in multiple experimental trials. Identify new drivers of improved performance. Monitor changes and measure the impact on business success. Enable real-time decision making with unified data. Track ROI following business improvements. Analyze business impact with key performance metrics.  Offer your teams a single view of the data. Support performance reviews with data visualization to ensure that your team members’ accomplishments are acknowledged and rewarded.  Collect data from process changes. Document all stages of business transformation, and make data associated with process changes available to teams across your company to guide their decisions. Like1 Related Posts CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Capture Initial Traffic Source With Google Analytics To ensure the proper sequencing of Tags, modify the Tag sequencing in the Google Analytics preview Tag settings. The custom Read more Snowflake and Salesforce with Embed Snowflake has deepened its partnership with investor Salesforce by introducing two tools that seamlessly connect their cloud-native systems. Snowflake and Read more

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Salesforce roles and responsibilities

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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