Salesforce Data Cloud Archives - gettectonic.com

03May

Salesforce Takes Beyond Inc Beyond Personalized Shopping Experiences

Beyond, Inc., the parent company of renowned e-commerce brands such as Bed Bath and Beyond, Overstock, and Zulily, has unveiled an expanded commitment to leveraging Salesforce’s cutting-edge data and marketing solutions. Beyond Inc leverages Salesforce is to foster customer loyalty and deliver deeply personalized shopping experiences across all its brand portfolios. Beyond will now utilize Salesforce Data Cloud, powered by the Einstein 1 Platform, to unify customer data across multiple brands and enterprise data systems. This unified data will provide invaluable insights into customer behavior, preferences, and engagement patterns across Beyond’s diverse brand ecosystem. Marcus Lemonis, Executive Chairman of the Beyond, Inc. Board of Directors, underscored the company’s commitment to revolutionizing its approach to customer data management, emphasizing the importance of adopting a profit-oriented mindset and investing in customers who demonstrate a propensity for repeat purchases and loyalty. Lemonis previously implemented Salesforce solutions at Camping World Holdings. Lemonis is also the host of CNBC’s The Profit. Beyond Inc Leverages Salesforce Carlisha Robinson, Chief Customer Officer at Beyond, hailed the collaboration with Salesforce as a pivotal moment ushering in a new era of growth for the company. She emphasized the pivotal role of digital technologies in driving Beyond’s growth agenda, highlighting the company’s strategic utilization of the Einstein 1 Platform to unlock the full potential of AI and data-driven insights. Through this expanded collaboration, Beyond aims to execute personalized journeys using Salesforce Marketing Cloud, thereby increasing customer loyalty and spend across its brands. Ariel Kelman, Chief Marketing Officer at Salesforce, lauded Beyond’s adoption of Salesforce’s AI, Data Cloud, and integration technologies as instrumental in fostering deeply engaging and personalized interactions with customers. Kelman emphasized that providing personalized experiences is paramount in today’s customer-connected world, and Beyond’s initiatives will help drive revenue growth and enhance customer relationships in a whole new way. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

May 3, 2024in Einstein 1 Platform, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Salesforce Optimization

24Apr

Summer 24 Salesforce Data Cloud Release Notes

Ingest, harmonize, unify, and analyze streaming and batch data with Data Cloud. Then use that data to unlock meaningful and intelligent experiences across Customer 360 applications and beyond. Summer 24 Salesforce Data Cloud Release Notes. 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

April 24, 2024in Einstein 1 Platform, Salesforce, Salesforce Data Cloud

21Apr

Harnessing Zero Copy Integration

Streamlining Data Management: Harnessing Zero Copy Integration for Efficient Customer Insights Zero copy integration offers a revolutionary approach to accessing and utilizing customer data without the need for burdensome data transfers. By seamlessly linking disparate databases, this innovative technique eliminates the complexities associated with moving, copying, or reformatting data. Let’s explore how zero copy integration can optimize data management processes and enhance the efficiency of customer data platforms (CDPs) alongside traditional data warehouses. Understanding Zero Copy Integration: Zero copy integration, also known as zero ETL (extract-transform-load), facilitates the sharing of data across multiple databases without physically relocating it. This method enables real-time access to data, significantly reducing costs and mitigating the risks of errors inherent in data movement processes. Unlike traditional data replication methods, zero copy integration ensures that data remains in its original location, eliminating the need for redundant storage and synchronization efforts. Good technology standards can actually bring order to the chaos and allow products from different companies to work together, fostering healthy competition and enhancing productivity. That is precisely what Zero-Copy Integration does. Zero-Copy Integration is a framework that eliminates the need for data copies and integration, making it easier to work with applications, analytics, artificial intelligence, and machine learning. Canada’s Digital Governance Council recently announced that Zero-Copy Integration has been published for open access by the public, setting a new standard for data collaboration. Moreover, Zero-Copy Integration prioritizes data-centricity and active metadata over complex code and solution modularity over monolithic design. It also facilitates data governance through data products and federated stewardship, eliminating the need for centralized teams. In addition to boosting the development and deployment of new technologies, Zero-Copy Integration also addresses the growing number of data privacy regulations. By putting data at the center of the process, Zero-Copy Integration ensures greater collaboration and control, positively affecting industries like healthcare, research, banking, and public services. Benefits of Zero-Data Integration Proponents of zero-copy integration and dataware say the framework will lower data storage costs, improve performance of IT teams, improve privacy and security of data, and drive innovation in systems for public health, social research, open banking and sustainability through innovations in: Comparing Traditional vs. Zero Copy Integration: Aspect Traditional Zero Copy Replication Requires copying data to target Data remains in original location Updates Data accuracy dependent on synchronization Real-time access to data Cost Involves data movement expenses No additional data movement costs Regulatory Compliance Complex governance due to data duplication Simplified compliance with source data only Errors Data movement introduces potential errors Minimized risk of errors with no data movement Maintenance Increases complexity with copying and synchronization Streamlined management with no data relocation Implementing Zero Copy Integration: The implementation of zero copy integration varies depending on the platform and direction of data access. Let’s explore how it works in scenarios involving Salesforce Data Cloud and Snowflake data warehouse: Case Study: Buyers Edge’s Zero Copy Success Story: Buyers Edge, a procurement optimization company, leveraged zero copy integration to unify customer profiles in a CDP while accessing purchase data from their data warehouse. By seamlessly integrating Salesforce Data Cloud with their warehouse, Buyers Edge enhanced predictive modeling capabilities, resulting in tailored sales and marketing strategies. Zero copy integration revolutionizes data management practices by enabling seamless data access and eliminating the need for data duplication or relocation. As businesses navigate the evolving data landscape, leveraging zero copy integration can streamline operations, enhance insights, and empower organizations to unlock the full potential of their data assets. MILESTONES / TIMELINE Second half 2023 – Internationalization February 21, 2023 – Information Session (watch above ☝ or via YouTube) February 15, 2023 – ‘Zero-copy’ applications published by DCA February 08, 2023 – Published by Digital Governance Council (Press release) December 15, 2022 – Approved by Standards Council of Canada June-Nov 2022 – Public consultation period Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

April 21, 2024in Salesforce, Salesforce Data Cloud, Salesforce Einstein, Snowflake

15Apr

Salesforce in a Mega-Data Deal with Informatica

Since Salesforce announced its acquisition of Slack for $27.7B in late 2020, the cloud software mega-giant has paused its acquisition strategy due to factors like rising interest rates, declining revenues, and a laser focus on profitability. However, recent leaks from The Wall Street Journal and other news publications suggest that Salesforce in a Mega-Data Deal with Informatica, is in advanced talks to acquire Informatica in a deal worth over $11B. Informatica is a significant player in enterprise data management, boasting revenues of over $1.51B and a workforce of over 5,000 employees. They specialize in AI-powered cloud data management, assisting companies in processing and managing large volumes of data from various sources to derive actionable and real-time insights. Salesforce in a Mega-Data Deal with Informatica The synergies between Informatica and Salesforce are many, with both companies focusing on consolidating data from multiple sources to provide comprehensive business insights. This aligns well with Salesforce’s strategic shift towards AI-driven data processing and analysis, aiming to enhance generative and predictive capabilities. While Salesforce’s previous acquisition of MuleSoft in 2018 for $6.5B has proven successful in facilitating API connectivity for real-time integrations, Informatica brings expertise in ETL (Extract-Transform-Load), data quality, and data movement to and from platforms like Snowflake and Databricks. This potential mega-data deal underscores the growing importance of data in the tech industry, especially with the emergence of generative AI and large language models (LLMs) that enable deeper analysis of vast datasets. Salesforce’s recent rebranding of its platform to “Einstein 1” underscores the convergence of AI and data within its product suite. The company’s emphasis on “AI + Data + CRM” reflects its commitment to leveraging data analytics for CRM enhancement, exemplified by the growth of its Data Cloud product. Partnering with industry leaders like Snowflake, Databricks, AWS, and Google, Salesforce aims to offer comprehensive data solutions that integrate seamlessly with existing systems. Informatica’s capabilities in ETL and Master Data Management (MDM) align with this vision, particularly in streamlining data integration and ensuring data quality across disparate systems. In final thoughts, while the Informatica acquisition is still pending finalization, it represents a strategic move by Salesforce to strengthen its position in the AI and data-driven CRM market. As Salesforce continues to evolve its product ecosystem, this acquisition signals its commitment to innovation and leadership in the era of AI-powered data analytics. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

April 15, 2024in Generative AI, Mulesoft, Salesforce, Snowflake

09Apr

What is Salesforce Einstein 1?

The bold new future of enterprise AI requires a new type of platform. What is Salesforce Einstein 1? One platform that can handle terabytes of disconnected data, gives you the freedom to choose your AI models, and connects directly into the flow of work, all while maintaining customer trust. The Einstein 1 Platform unifies your data, AI, CRM, development, and security into a single, comprehensive platform. It empowers IT, admins, and developers with an extensible AI platform, facilitating fast development of generative apps and automation. What is Salesforce Einstein 1 Einstein 1 has a mixture of artificial intelligence tools on the platform, and it kind of mirrors the way the core Salesforce platform is built, standardized and custom. We have out of the box AI features such as sales email generation in Sales Cloud, and service replies in Service Cloud. What is Einstein One? Einstein One seamlessly integrates our robust data platform with Data Cloud, offering a comprehensive AI and data-driven solution within our CRM service. As the leading comprehensive AI for CRM, Salesforce Einstein transforms the Customer Success Platform by incorporating a suite of integrated AI technologies, making it more intelligent and accessible to innovators worldwide. Introducing the Einstein One Platform The future of enterprise AI demands a groundbreaking platform capable of managing terabytes of diverse data, providing the flexibility to select AI models, and seamlessly integrating into daily workflows while maintaining customer trust. The Einstein One Platform consolidates data, AI, CRM, development, and security into a singular, comprehensive platform. It empowers IT, administrators, and developers with an extensible AI platform, facilitating rapid development of generative apps and automation. Salesforce has made significant investments in enhancing the Einstein One platform by introducing two prompt engineering features – a testing center and prompt engineering suggestions, demonstrating the company’s commitment to advancing AI capabilities. Data-driven and AI-driven customer experiences are vital in constructing Data Cloud. Salesforce’s predictive AI, Einstein, has been operational since 2016, conducting over a trillion predictions per week. The company continuously evolves its capabilities, introducing generative AI products like Einstein GPT, discussed at Dreamforce [2023]. ‘Customer 360′ now represents Salesforce customers’ ability to transform into customer-centric entities, delivering integrated and cohesive experiences across sales, marketing, service, and commerce. Leveraging Data Cloud, structured and unstructured engagement data comes alive, offering a personalized perspective of customer interactions. Einstein is accessible through various Salesforce products, including Sales Cloud, Service Cloud, Marketing Cloud, Salesforce Platform, Analytics Cloud, and Community Cloud. What is the Einstein One platform? Salesforce’s Einstein One is a transformative platform that securely integrates data, connects multiple Salesforce products, and empowers customer-centric businesses to create AI-driven apps, revolutionizing CRM interactions. What applications are connected with the Einstein One platform? Einstein Trust Layer: Ensuring the security of generative AI applications within Salesforce, this application acts as a safeguard for data, preventing unauthorized access. Data Cloud: Unifying structured and unstructured data, Data Cloud completes the customer 360 profile, integrating seamlessly with the Einstein One platform and making data actionable. Einstein Copilot: A built-in conversational assistant, Einstein Copilot enables users to ask questions in Natural Language and receive intelligent answers, actions, and more. Copilot Studio: An essential component of Einstein One, Copilot Studio manages Einstein One and Einstein Copilot, allowing businesses to control user access and use generative AI in their workspace. Prompt Builder, Skill Builder, Model Builder: Tools within Copilot Studio, these components empower businesses to create trusted AI prompts, add skills to user access, and choose AI models. What is Data Cloud for Einstein One? Data Cloud, combined with the Einstein Trust Layer, provides secure access to a unified data repository, forming a reliable resource for complete customer profiles and supporting AI assistants. Data Cloud facilitates valuable visualizations through reports, dashboards, and tools like Tableau, offering insights to enhance understanding of customers and business operations. What will Einstein One do for businesses? Einstein One aims to: Increase productivity Reduce operational costs Enhance the delivery of exceptional customer experiences The debut of Einstein One marks a significant stride for Salesforce and businesses, offering a secure path to boost productivity through AI technologies, ensuring continuous access to cutting-edge technologies for businesses. Where can generative AI impact businesses today? Generative AI has the potential to impact businesses by enhancing repetitive processes, making them faster. Exploring text-based processes, such as repetitive emails or form filling, is a great starting point for businesses looking to enhance capabilities. What can generative AI do for sales, service, field service teams? Generative AI can positively impact teams by automating processes, offering intelligent insights, and improving overall efficiency. Specific use cases for generative AI in sales, service, and field service teams can be explored through Salesforce’s 101 video series. What does Einstein One Tableau do? Einstein One Data Cloud, formerly known as Genie, serves as a metadata management tool connecting data from various sources. It makes data usable for AI and analysis, integrating with Einstein One, Tableau, and Salesforce’s CRM applications. Is Salesforce Einstein the same as Tableau? Formerly known as Einstein Analytics, Tableau CRM is Salesforce’s premium analytic platform, offering a powerful way to explore data, especially for current Salesforce users. Salesforce has renamed Einstein Analytics to Tableau CRM, reflecting its commitment to empowering users to make better decisions faster. In essence, the Einstein One platform combines Salesforce Data Cloud, Einstein Copilot, and the Einstein Trust Layer, providing a comprehensive solution for secure and connected data, facilitating generative AI on a comprehensive platform. Salesforce’s Einstein One Platform & the Data-Driven Revolution This innovation has the potential to revolutionize the way businesses interact with their customers. In this insight, we delve deeper into this transformative development, offering valuable insights, considerations for implementation, and the indispensable expertise of Tectonic as a data-oriented technology partner. Salesforce Data Cloud and Einstein AI are now seamlessly integrated into the Einstein One Platform. This integration empowers companies to effortlessly connect their diverse data sources, enabling the creation of AI-driven applications with minimal coding effort. Moreover, it forges a cohesive view of your data across

April 9, 2024in Artificial Intelligence, Data, Einstein 1 Platform, Einstein Insights, Enterprise, Generative AI, Google, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Sales Cloud, Technology

06Apr

Einstein Copilot for Tableau in Public Beta

Salesforce Introduces Einstein Copilot for Tableau in Public Beta In early April, Salesforce unveiled the public beta availability of Einstein Copilot for Tableau, an innovative AI-powered assistant aimed at assisting users across various roles and functions in exploring and interacting with data within Tableau. This groundbreaking tool enables deep dives into data by leveraging Tableau’s analytical engine through natural language queries, accessing data from spreadsheets, cloud and on-premises data warehouses, and Salesforce Data Cloud. The public release of Copilot for Tableau is anticipated to be widely available to customers by summer 2024. Key Features of Einstein Copilot for Tableau Einstein Copilot for Tableau offers several features tailored to enhance user experience and streamline data exploration: Recommended Questions: The assistant automatically analyzes data and suggests relevant questions, allowing users to interact with data effortlessly without the need for specialized data analysis skills. Conversational Data Exploration: Users can iterate and refine their data exploration process seamlessly while maintaining context, enabling them to ask follow-up questions and delve deeper into insights as if they were engaging in a conversation with their data. Guided Calculation Creation: Copilot guides users through the process of creating calculations and parsing information, simplifying complex tasks such as extracting specific data elements from text fields. Enhancing Accuracy and Trust To ensure accuracy and contextual relevance, Einstein Copilot for Tableau leverages trusted company data from Data Cloud, fostering trust among users by delivering precise and relevant outputs based on internal data sources. Future Outlook Salesforce’s approach to introducing generative AI assistants for specific product types and use cases underscores the importance of function-specific training to meet users’ specific needs. As the technology matures, vendors may transition from premium license fees to consumption-based models, reflecting the evolving landscape of AI assistant technology adoption. The rollout of Einstein Copilot for Tableau represents a significant step forward in making data analysis accessible to a broader audience, reinforcing Salesforce’s commitment to innovation and customer-centric solutions in the realm of AI-powered analytics. 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

April 6, 2024in Einstein 1 Platform, Salesforce, Salesforce Data Cloud, Salesforce Tableau

01Apr

Data Cloud and Snowflake Bidrectional Data Sharing

Salesforce Data Cloud and Snowflake are excited to announce that bidirectional data sharing between Snowflake, the Data Cloud company, and Salesforce Data Cloud is now generally available. In September, we introduced the ability for organizations to leverage Salesforce data directly in Snowflake via zero-ETL data sharing, enabling unified customer and business data, accelerating decision-making, and streamlining business processes. Today, we’re thrilled to share that customers can now also share Snowflake data into the Salesforce Data Cloud, using the same zero-ETL innovation to reduce friction and quickly surface powerful insights across sales, service, marketing, and commerce applications. Data Cloud and Snowflake Bidrectional Data Sharing. Data Cloud and Snowflake Bidrectional Data Sharing Enterprises generate valuable customer data within Salesforce applications, while increasingly relying on Snowflake as their preferred data platform for storing, modeling, and analyzing their full data estate. This integration between Salesforce and Snowflake minimizes friction, data latency, scale limitations, and data engineering costs associated with using these two leading platforms. The Snowflake Marketplace also offers customers the opportunity to acquire new data sets to enhance or fill gaps in their existing business data, driving innovation. By combining enterprise data and third-party data from Snowflake Marketplace with valuable customer data from Salesforce applications, organizations can unify their data and build powerful AI solutions to surface rich insights, driving superior and differentiated customer experiences. “Zero-ETL data sharing between Salesforce Data Cloud and Snowflake is game-changing. It has opened up new frontiers of data collaboration. We’re excited to see how customers are powering their customer data analytics and developing innovative AI solutions with near real-time data from Salesforce and Snowflake, generating incredible business value. Now that this integration is generally available, this kind of innovation will be broadly accessible,” says Christian Kleinerman, SVP of Product, Snowflake. Power Personalized Experiences with Salesforce and Snowflake Data sharing between Salesforce Data Cloud and Snowflake brings together holistic insights, empowering multiple customer-facing departments within any organization to create a truly robust customer 360. As Snowflake’s Chief Marketing Officer, Denise Persson, often states, a true, enterprise-wide customer 360 is the beating heart of a modern, customer-facing organization. The applicability of this integration spans various industries and unlocks new growth opportunities. For example: The bidirectional integration enables data sharing across business systems, Salesforce clouds, and operational systems, facilitating data set analysis and future action planning. This brings actionable insights and drives actions, unleashing a new level of customer experience and business productivity. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

April 1, 2024in Salesforce Data Cloud, Salesforce Marketing Cloud, Snowflake

31Mar

WhatsApp Integration Brings Service and Marketing Together

Salesforce has announced the general availability of Unified Conversations for WhatsApp, transforming one-way marketing promotions and service requests into dynamic, two-way conversations from a single WhatsApp number. WhatsApp Integration Brings Service and Marketing Together. Now, instead of managing separate threads for promotions and support, customers can receive personalized opt-in marketing promotions and individual support all within a single WhatsApp chat. This unified approach allows companies like Agibank to leverage Salesforce data from over 900 hubs within WhatsApp to deliver personalized loan proposals, resolve issues faster, and better support customers in a single conversation. Why It Matters A significant 79% of customers expect consistent interactions across departments, and 75% prefer to communicate with brands through messaging. However, businesses often fail to meet these expectations, with disconnected experiences being a top customer frustration. Salesforce Perspective “With over two billion people using WhatsApp, Salesforce’s Unified Conversations for WhatsApp enables brands to connect with customers in a unified, trusted manner,” said Steve Hammond, EVP and GM of Salesforce Marketing Cloud. “This helps brands break down internal barriers and build stronger relationships throughout the customer journey, ensuring personalized engagement at the right time and context.” Go Deeper Unified Conversations for WhatsApp is powered by Salesforce Data Cloud, allowing companies to consolidate data into Salesforce and create a unified customer profile. This shared profile provides marketers and service agents with the relevant context to deliver trusted experiences in a single chat thread. Innovation in Action Unified Conversations for WhatsApp combines marketing and service conversations, enabling: Customer Perspective Matheus Girardi, Chief Marketing and Customer Officer at Agibank, shared, “Our customers rely on WhatsApp to engage with us. Unifying our data in Salesforce for WhatsApp has improved our user experience by personalizing loan proposals, resolving concerns, and supporting customers. Salesforce’s previous integration with WhatsApp tripled our digital sales, and we are excited to do more.” Roberto Maia, Chief Information Officer at YDUQS, added, “WhatsApp is the preferred messaging app for our students across Brazil. We look forward to utilizing Unified Conversations to better engage and serve them and convert leads faster.” Availability Unified Conversations for WhatsApp is now generally available. More Information Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

March 31, 2024in Salesforce Data Cloud, Salesforce Implementation Services, Salesforce Marketing Cloud, Salesforce Optimization, Salesforce Service Cloud

26Mar

Salesforce Data Cloud Free Edition

Let Tectonic clarify a misconception circulating in the Salesforce community regarding the Salesforce Data Cloud Free Edition. As you may recall, Salesforce unveiled at Dreamforce 2023 that a Data Cloud edition would be accessible at no charge to clients using Sales and Service Cloud Enterprise Edition. This announcement was also reiterated in Salesforce’s February 2024 press release focusing on Marketing Cloud Growth Edition. (Queue the voice in the commercial “some restrictions may apply”.) To dispel any confusion, it’s essential to emphasize there is potential benefit from this offer, but you still require Sales or Service Enterprise Edition. Merely having Marketing Cloud or Account Engagement does not make you eligible. Salesforce Data Cloud Free Edition Considerations For Sales and Service Enterprise Edition Customers wondering about the no-cost Data Cloud offer, the next steps require careful consideration. While the prospect of getting an account provisioned might be exciting, preparation is key. Data Cloud holds the potential to revolutionize your organization, making a well-crafted plan, strategy, and vision imperative. These elements form the basis and foundation of effective change management. Without a comprehensive plan, vision, consensus, and understanding, embarking on Data Cloud implementation could lead to various challenges: Drawing from our experience, diving into Data Cloud without a clear plan often results in these issues. However, before formulating a plan, it’s vital to assess your organization’s readiness based on several key criteria. These factors impact the feasibility of implementing Data Cloud: Data Cloud Readiness Criteria: Respectfully, while the prospect of a no-cost Data Cloud offer is exciting, careful preparation, assessment, and strategic planning are crucial for ensuring a successful and transformative implementation within your organization. Otherwise, it becomes just another unused tool in your martech stack. Like Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a 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 Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

March 26, 2024in Salesforce Data Cloud, Salesforce Sales Cloud

14Mar

Marketing Cloud Growth Edition

Salesforce has unveiled the Marketing Cloud Growth Edition, (Marketing Cloud Engagement) offering a glimpse into the future of marketing applications aligned with the core Salesforce platform. This edition marks the first iteration of Marketing Cloud on the ‘core’ Salesforce platform, known as Einstein 1 Platform. Built on Data Cloud, it introduces new builders powered by Salesforce CMS, a data model tapping into Salesforce objects, and a suite of data management capabilities through Data Cloud and Einstein’s generative AI tools. It’s crucial to understand that while this edition brings new functionality, Salesforce remains committed to innovating existing Marketing Cloud products as well. Marketing Cloud Growth Edition targets B2B SMB organizations, offering lead capture, cross-channel journeys, engagement scoring, and reporting capabilities. Built on Einstein 1 Built on Einstein 1, Marketing Cloud Growth Edition leverages Data Cloud’s technology to enhance marketing products with AI-powered features. This move signifies Salesforce’s focus on integrating powerful new technologies into the Marketing Cloud tech stack. Two years ago, Salesforce made the decision to rename a number of their Marketing Cloud offerings. Marketing Cloud’s most popular modules for messaging and journeys go by Marketing Cloud Engagement. Has it really been two years? The architecture of Marketing Cloud Growth Edition represents a significant shift, with key components like the email and form builders built on Salesforce CMS. These builders offer guided setup processes and seamless integration with Flow, Salesforce’s automation engine. Marketers will benefit from simplified workflows and advanced personalization options. Marketing Cloud Account Engagement (formerly Pardot), caters to more B2B use cases. So which product is Marketing Cloud Growth Edition really: Marketing Cloud Engagement or Marketing Cloud Account Engagement? Being targeted at B2B, SMB (small-medium) organizations, you may be asking if this is the beginning of the end for Account Engagement. In short, this is not only a new edition, it’s a whole new world…Marketing Cloud ‘On Core’ (Einstein 1). Marketing Cloud Growth Edition and Einstein AI Einstein AI plays a pivotal role in Marketing Cloud Growth Edition, providing features like Send Time Optimization and Co-Create for campaign brief and message generation. Additionally, robust analytics capabilities built on Data Cloud offer insights into marketing performance. Announced at Dreamforce ‘23 as a better re-engineered core platform with the inherent ability to handle generative AI with speed and agility. Support of Salesforce Data Cloud for their marketing platforms has been a focus and now it is a reality. Pricing for Marketing Cloud Growth Edition starts at $18,000 per org per year, with additional options for email sends, unified profiles, segmentation credits, and SMS sends. With Marketing Cloud Growth Edition, you will gain the following: 180k email sends /org/year (add on email sends at an additional cost). 10k unified profiles, unified via Data Cloud. 10k activation and segmentation credits, to use with Data Cloud. The rollout of Marketing Cloud Growth Edition begins in North America, with plans for availability in Europe/Middle East (EMEA) in the second half of 2024. Learning resources and guided setup will be available to help customers get started with the new edition. While Marketing Cloud Growth Edition represents a significant step forward, it’s important to note that it’s not the end of Marketing Cloud or Account Engagement products. Salesforce continues to invest in innovation and development, with future plans to migrate more Marketing Cloud functionality onto the core platform. Great Changes with Marketing Cloud Growth Edition This includes lead capture, sending leads on journeys with email and SMS, automating notifications to sales and service teams, engagement scoring, and reporting for engagement on assets (such as emails, SMS, landing pages and forms). A new type of scoring that combines what we have known as scoring (behavioral) and grading (demographic). With the advent of advanced personalization, sending a large volume of customers through personalized cross-channel journeys, and reporting on these results. The email builder is built on top of Salesforce CMS, a shared service across other parts of the platform, so you have a single repository for assets. Let the tools do what they each excel at. CMS do what it does best, and allow Flow to do what it does best. Tectonic suspects Account Engagement (formerly Pardot) customers will start to see some of this reimagined building experience in the first half of 2024. Salesforce platform users have long known Flow to be Salesforce’s automation engine, bringing incredible power to non-coder that they historically didn’t have. Flow will power the automation behind Marketing Cloud Growth Edition too – including email sending. On The Core Platform As a result of being on the Einstein 1 (‘core’) platform, any AI-powered features marketers choose to use will be accessible and more powerful. Einstein Send Time Optimization is included, which will advise the most optimal time to send an email, based on the best performing emails for that audience in the past. Also, you’ll find Einstein Co-Create for campaign brief and message generation, and likely more that we’ve yet to encounter. When it comes to reporting on marketing on the Salesforce platform, you have many options. B2B Marketing Analytics (B2BMA) is an add-on to Account Engagement, where customers gain access to a pre-built CRM Analytics app that contains dashboards for use cases such as pipeline, engagement, account-based marketing, and other. Will there be access to something similar? For Marketing Cloud Growth Edition, at the time of launch there will instead be a set of reports and dashboards, built on Data Cloud. Details are currently yet to be released by Salesforce. Tectonic will alert you as soon as we hear. Easy Guided Set-ups You may have already gone through the new-style guided setup with other Salesforce modules. You will know that Salesforce has cut down the number of clicks required. Everyone on the Salesforce side involved with the project has been through the setup multiple times, which can be launched in minutes. Overall, Marketing Cloud Growth Edition promises to empower marketers with advanced capabilities and insights, setting the stage for continued evolution and growth in the marketing automation landscape. Marketers like us

March 14, 2024in Salesforce Marketing Cloud

07Mar

Einstein Trust Layer Explained

The Einstein Trust Layer, seamlessly integrated into the Salesforce Platform, serves as a secure AI architecture designed to meet enterprise security standards. This foundational layer prioritizes stringent security measures, allowing teams to harness the power of generative AI without compromising customer data. Simultaneously, it empowers companies to make the most of their trusted data, thereby enhancing the precision of generative AI responses. Key features of the Einstein Trust Layer include: Integrated and Grounded: An inherent component of every Einstein Copilot, the Trust Layer ensures that generative prompts are firmly rooted and enriched in trusted company data. Its integration with Salesforce Data Cloud establishes a seamless connection, reinforcing the reliability and relevance of generative responses. Zero-Data Retention and PII Protection: Companies can trust that their data will never be retained by third-party Large Language Model (LLM) providers. The Trust Layer incorporates masking techniques for personally identifiable information (PII), ensuring an added layer of data privacy. Toxicity Awareness and Compliance-Ready AI Monitoring: A dedicated safety-detector LLM within the Trust Layer acts as a guard against toxicity, assessing risks to brand reputation by scoring AI generations. This scoring mechanism instills confidence in the safety of responses. Moreover, each AI interaction is meticulously recorded in a secure, monitored audit trail, providing companies with visibility and control over how their data is utilized and ensuring compliance readiness. In alignment with Microsoft’s introduction of Copilot solutions powered by generative AI, Salesforce is leveraging the capabilities of Large Language Models (LLMs) to empower professionals in sales, marketing, and customer service. Building on Salesforce’s existing suite of Einstein AI features, the company unveiled “Einstein 1” this year—a next-generation suite of tools empowering users to seamlessly integrate AI into their everyday workflows. At the core of this advancement is the Einstein Copilot solution, complemented by the new Copilot studio and the Einstein Trust Layer. 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 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

March 7, 2024in Einstein 1 Platform

05Feb

Salesforce Data Cloud vs Snowflake

A Comprehensive Comparison In the today’s data-driven world, businesses increasingly turn to cloud-based data platforms for managing, analyzing, and deriving insights from their customer data. Among the prominent options available, Salesforce Data Cloud and Snowflake stand out from the crowd. While both platforms offer robust capabilities, they exhibit distinct strengths and weaknesses. This insight looks into the comparison of Salesforce Data Cloud vs Snowflake. Salesforce Data Cloud: Salesforce Data Cloud is a hyperscale customer data platform (CDP) designed to help businesses consolidate all their customer data, including engagement data sourced externally. It establishes a unified view of the customer, empowering businesses to personalize experiences, enhance decision-making, and foster growth. Snowflake: Snowflake is a cloud-based data warehousing platform that facilitates the storage, analysis, and sharing of data for businesses. It encompasses a wide array of features, including an awesome SQL engine, elastic scalability, and compatibility with various data sources. Salesforce Data Cloud vs Snowflake Feature Salesforce Data Cloud Snowflake Focus Customer data General data Strengths Data enrichment, personalization, real-time updates Scalability, analytics, SQL support Weaknesses Less flexible than Snowflake, limited analytics capabilities Not as user-friendly as Salesforce Data Cloud Pricing Based on data volume Based on usage The ideal platform for you will be contingent on your specific needs and requirements. If your primary focus is on managing customer data and enhancing customer engagement, Salesforce Data Cloud proves to be a suitable option. On the other hand, if you require a more versatile data platform capable of handling a broad range of data types and workloads, Snowflake emerges as a better choice. Additional considerations include: Ultimately, the most effective way to determine the right platform for you is to experiment with both and assess which one aligns better with your preferences. Contact Tectonic today to explore Data Cloud and Snowflake for your data needs. Like2 Related Posts 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 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a 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

February 5, 2024in Salesforce Data Cloud, Salesforce Optimization, Snowflake

24Jan

Salesforce for Energy and Utilities

The Energy & Utilities Cloud (E&U Cloud) integrates and extends the comprehensive capabilities of Salesforce Sales and Service Cloud. Integrated with the Salesforce Platform to provide an industry-specific solution tailored for utilities, retail energy, and modern energy services companies. Align your business with the future of energy through personalized service, unified customer and asset data, and enhanced business agility. Key Features: By Tectonic’s Salesforce Marketing Consultant, Shannan Hearne 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 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

January 24, 2024in Salesforce, Salesforce Manufacturing Automotive Energy, Salesforce Sales Cloud, Salesforce Service Cloud

21Jan

Salesforce Data Cloud License Offer

At Dreamforce 2023, Salesforce announced that Data Cloud free licenses are now included for all Enterprise Edition or above customers so they can become familiar with the new capabilities and develop use case ideas for Salesforce Data Cloud. Salesforce Data Cloud License Offer! Are you taking advantage of Salesforce Data Cloud’s customer 360 capabilities when it comes to intuitive, fast, efficient customer service? Today is the day! With the Salesforce Data Cloud Offer you can take advantage now! 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 earliest days of CRM is now finally solved. This is truly a 360 degree customer view. Why is Data Cloud important? 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. There’s never been a better time to partner with Tectonic to explore Salesforce Data Cloud for your data and your business. Take advantage of the Data Cloud License Offer today. 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

January 21, 2024in Salesforce Data Cloud, Salesforce Managed Services

20Jan

Spring ’24 Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud

Discover the Spring ’24 Enhancements to Analytics Data Cloud Einstein and Net Zero Cloud Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud in Spring’24. Reports and Dashboards for Data Cloud Enhancements Analytics Create custom report types, more core semantics, calculated insights, and date and time formulas. Analytics Collection Components Analytics Curate related analytics assets for better organization and easier consumption. Embed a specific collection directly into Lightning pages to easily access the insights you need right in your workflow. Enhanced Dashboard Customization Analytics Easily create and remember custom colors for widgets. Save hours in development time by applying layouts and colors to all widgets in a dashboard with just a few clicks. Revenue Intelligence Enhancements Analytics A new streamlined setup helps you get started even faster, and a library of KPI components lets you further customize Forecast Insights. To better understand conversation rates, use the new Win Rate Funnel view. Data Graphs Data Cloud Combine multiple data model objects and calculated insights into a unified view. New Profile API improves query performance to power near real-time use cases across Customer 360. Bring Your Own Lake with Snowflake Data Cloud Share data between Data Cloud and Snowflake with zero-ETL. With Data Federation, you can now share your data bidirectionally and access Snowflake datasets in Salesforce to enrich your unified customer profiles and unlock new insights. Bring Your Own Lake with Google BigQuery Data Cloud Share data between Data Cloud and Google BigQuery with zero-ETL. With seamless data access, you can enrich your unified customer profiles with BigQuery datasets, helping you unlock new insights and better power your Google Analytics and AI models. Streaming Data Ingest for Salesforce CRM Connector Data Cloud Ingest changes to Salesforce standard and custom objects in near real-time with streaming data ingest for the Salesforce CRM Connector. Now, existing batch ingestion checks for more frequent updates to your Salesforce objects. Einstein Copilot Einstein Embed Einstein Copilot—a conversational AI assistant—across all Salesforce applications to help teams be more productive. Automate steps or tasks with out-of-the-box actions, or create custom actions that call flows, Apex, or MuleSoft APIs. Prompt Builder Einstein Create, test, and refine prompt templates easily without code. Ground prompts with dynamic CRM data, including merge fields and flows. Invoke prompted workflows across the Einstein 1 Platform through Flow, Lightning Web Components, and Apex. ESG (Environmental, Social, and Governance) Disclosure Authoring with Generative AI Net Zero Cloud Use Einstein to generate more efficient Corporate Sustainability Reporting Directive (CSRD), Global Reporting Initiative (GRI), and Carbon Disclosure Project (CDP) reports. Einstein can access and use the internal information you’ve uploaded to Net Zero Cloud to write and answer specific questions required for these reporting standards. Disclosure and Compliance Hub Plugin for Microsoft Word Net Zero Cloud Net Zero Cloud now provides sustainability managers more flexibility to support multiple authoring formats using Microsoft Word Office 365. Multiuser collaboration, easy navigation, and rich text support create a cleaner and easier experience. Marginal Abatement Cost Visualizations Net Zero Cloud With marginal abatement cost visualizations, customers can gain insights into required investments for various programs and forecast future emissions based on the cost to offset carbon. Sustainability Program Visualizations Net Zero Cloud Visualize the combined effects of multiple environmental, social, and corporate governance (ESG) initiatives and gain a deeper understanding into different ESG projects and specific metrics within these projects. Improved Emissions Factors Management Net Zero Cloud Automatically integrate emissions factors from Net Zero Marketplace into Net Zero Cloud to easily manage and apply the data, for improved transparency and visibility in one location. Stay tuned to Tectonic’s Insights for more details and news from Salesforce. Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud. 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

January 20, 2024in Google Analytics, Salesforce Data Cloud, Salesforce Einstein, Salesforce Marketing Automation, Salesforce Net Zero Cloud

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