Snowflake Archives - gettectonic.com

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

20Dec

Salesforce Marketing Cloud for a Healthcare Provider

Personalized Care & Communication: Salesforce Marketing Cloud for a Healthcare Provider As the elderly become more tech-savvy, they expect modern, efficient ways to communicate with healthcare providers. A regional Medicare provider in the Northeastern United States faced challenges with their outdated communication systems. Relying solely on paper mail, postcards, and phone calls, the organization struggled to connect with members, lacked visibility into the success of their campaigns, and experienced early turnover due to minimal engagement. These inefficiencies strained the customer experience and made it clear that modernization was overdue. To address these challenges, we implemented Salesforce Marketing Cloud to engage customers through email and SMS. Goals for the Project: Tectonic’s Role in the Transformation Tectonic designed and implemented a Salesforce Marketing Cloud solution that transformed how the provider communicated with its members. The solution enabled multi-channel, multi-language communications integrated with Salesforce Health Cloud via the Marketing Cloud Connector and additional systems like MuleSoft and Snowflake. To enhance SMS capabilities, the organization also integrated with Five9. Early collaboration with the provider’s Salesforce Health Cloud team enabled Tectonic to address outdated customer data issues, create safeguards for inaccurate information, and plan future strategies for seamless customer data collection. A custom preference center was also developed and translated into multiple languages. Overcoming Data Challenges Accurate customer data was a significant obstacle—only 60% of records included valid email or mobile phone numbers, with an even smaller percentage having both. Tectonic conducted multiple working sessions to develop strategic efficiencies and establish a foundational process for gathering and cleansing member contact information. Customized journeys were created to ensure messaging aligned with available communication channels. For example: Key Outcomes Tectonic’s efforts allowed the healthcare provider to modernize their communications, better analyze engagement data, and improve member interactions. The results exceeded expectations: Impact Across Departments This project not only improved member communication but also empowered internal departments—including Marketing, Customer Experience, Sales, and Retention—with easy-to-understand metrics. It laid the foundation for future campaigns, enhanced data accuracy, and fostered stronger member relationships. By leveraging Salesforce Marketing Cloud and Tectonic’s expertise, the healthcare provider transformed its operations to deliver personalized, timely communication and ensure lifelong member satisfaction. 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

December 20, 2023in Data, Mulesoft, Salesforce, Salesforce Health Cloud, Salesforce Marketing Cloud, Snowflake

12Dec

Data Cloud Credits

Credits are the currency of usage in Salesforce Data Cloud, where every action performed consumes credits. The consumption rate varies based on the complexity and compute cost of the action, reflecting different platform features. Data Cloud Pricing Model The pricing model for Data Cloud consists of three primary components: Data Service Credits Each platform action incurs a specific compute cost. For instance, processes like connecting, ingesting, transforming, and harmonizing data all consume ‘data service credits’. These credits are further divided into categories such as connect, harmonize, and activate, each encompassing multiple services with differing consumption rates. Segment and Activation Credits Apart from data service credits, ‘segment and activation credits’ are consumed based on the number of rows processed when publishing and activating segments. Monitoring Consumption Currently, Data Cloud users must request a consumption report from their Salesforce Account Executive to review credit and storage usage. However, the new Digital Wallet feature in the Summer ’24 Release will provide users with real-time monitoring capabilities. This includes tracking credit and storage consumption trends by usage type directly within the platform. Considerations and Best Practices To optimize credit consumption and ensure efficient use of resources, consider the following best practices: Final Thoughts Credits are integral to Data Cloud’s pricing structure, reflecting usage across various platform activities. Proactive monitoring through the Digital Wallet feature enables users to manage credits effectively, ensuring optimal resource allocation and cost efficiency. Content updated June 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, 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

December 12, 2023in Salesforce Data Cloud, Snowflake

14Sep

Snowflake and Customer 360 Data Model

What is data modelling in Snowflake? Snowflake and Customer 360 Data Model Data modeling is the process of organizing and mapping data using simplified diagrams, symbols, and text to represent data associations and flow. Engineers use these models to develop new software and to update legacy software. Data modeling also ensures the consistency and quality of data. What is Customer 360 Data Model? Snowflake and Customer 360 Data Model Customer 360 refers to a comprehensive view of a customer’s data, encompassing every interaction from website inquiries to product purchases to customer support tickets. It ensures that every department within a company accesses the same accurate information about the customer. Exploring Data Modeling in Snowflake Data modeling involves organizing and mapping data using simplified diagrams, symbols, and text to illustrate data associations and flow. Engineers utilize these models to develop new software and update existing ones, ensuring data consistency and quality. Unifying Business and Customer Data Break down silos and consolidate customer data into a unified platform using native-first and third-party connectors in Snowflake. These connectors securely ingest data from various sources, enriching customer profiles and resolving identities seamlessly. Enriching Profiles and Resolving Identities-Snowflake and Customer 360 Data Model Enhance customer profiles securely with a plethora of data sets available in Snowflake Marketplace. Resolve identities seamlessly using applications from leading providers native to the platform. Managing Consent and Responding to Data Subject Requests Adhere to customer data consent choices and comply with global privacy regulations by swiftly and effectively responding to data subject requests. Understanding the 360-Degree Customer View The 360-degree customer view is a coveted goal for B2C marketers, aiming to aggregate and unify customer interaction touchpoints. Achieving this comprehensive view enables businesses to better understand the customer journey, personalize experiences, and enhance engagement. Snowflake and Customer 360 Snowflake’s Data Cloud tackles the challenge of consolidating disparate data sources in Martech stacks. By collecting and unifying customer 360 data points into a SQL data warehouse, Snowflake empowers marketers to eliminate data silos and respond to customer behavioral trends promptly. Snowflake and Customer 360 Data Model: Evolution of Customer 360 The marketing technology landscape has evolved, with organizations shifting focus to centralized data and new marketing applications. This shift involves aggregating customer data centrally into Customer 360 profiles, enabling tailored marketing campaigns and improved customer experiences. CDPs: The Latest Incarnation of Customer 360 Customer Data Platforms (CDPs) have emerged as solutions to the Customer 360 challenge. By consolidating and organizing customer data, CDPs empower marketers to personalize customer journeys across channels effectively. Tectonic’s Role in Advancing Data Strategies-Snowflake and Customer 360 Data Model Tectonic assists businesses in embracing a composable architecture, future-proofing data structures, migrating data to the cloud securely, and creating a single source of truth for easy analysis of customer data. The Importance of Omnichannel Data in Marketing Understanding omnichannel data is crucial for marketers seeking to improve customer experiences and drive revenue. Omnichannel data encompasses every customer interaction, offering insights into behaviors, preferences, and values. Building a Customer 360 Crafting a holistic view of customers and their journey involves mapping touchpoints, identifying data sources, integrating data into a centralized location, and deriving insights to create customer profiles. Why a Robust Cloud Data Platform is Essential for Omnichannel A robust cloud data platform enables marketers to leverage a single source of truth, analyze streaming data, and facilitate collaboration across teams while ensuring compliance with privacy regulations. “Being customer-centric requires us to have a data-driven culture. We must ask ourselves how we can optimize the supply chain, product design, predictability and propensity of customers to buy our products. These are all data challenges.” Fabio Luzzi, VP of Data Science and Engineering, Tapestry The 360-degree customer view is the Holy Grail of B2C marketers: often sought but frequently unattainable. Companies that aspire to the Customer 360 view seek to aggregate and unify customer interaction touchpoints — from online transactions, social media, forums, and physical touches to third-party interactions, customer support, and service — to better understand the customer journey, meet demand, and personalize the customer experience. The challenge, of course, is that the customer data is spread across these numerous, various touchpoints. Without system synchronization, errors and duplicate records can become an ongoing problem. In the not-too distant past, interactions were largely limited to physical touch points or the phone. With the explosion of new interaction platforms, the job of aggreggating these disparate data sources has proven to be difficult. To really get a handle on all this data, modern B2C marketers need to engage with data management, data storage, data analytics, and often ML and BI tools to merge, unify, and then analyze these transactions to drive business insight. SNOWFLAKE AND CUSTOMER 360 The number of tools deployed in the average Martech stack has exploded from just a few to more than 90 SaaS applications. Marketers have struggled to consolidate these disparate data sources to both quickly react to customer behavior and also to report internally on performance. Snowflake’s Data Cloud solves this challenge, which collects and unifies all customer 360 data points — semi-structured or structured — into an easy-to-query SQL data warehouse that integrates with leading data analytics, BI, ML, and data management tools. This allows marketers to eliminate data silos and react to customer behavorial trends with timely and personalized campaigns. The world of marketing technology has evolved quickly. Although the quest for a single customer view remains, organizations are now focusing on how to create new marketing applications that centralize data. There’s a not-so-quiet (r)evolution going on in the world of marketing technology. Privacy-driven changes in the digital ecosystem are forcing companies to adopt a first-party data strategy with Customer 360 profiles at its center. But that’s not what this revolution is about; Customer 360 profiles have been part of marketing systems going back to Salesforce’s original Customer Relationship Management (CRM) platform. What is changing is not the “what” —a single customer view, but the “how”. What if Customer Data was aggregated centrally, organized into

September 14, 2023in Salesforce Implementation Services, Salesforce Optimization, Salesforce Personalization, Snowflake

13Sep

The Crucial Role of Data and Integration in AI at Dreamforce

Understanding The Crucial Role of Data and Integration in AI at Dreamforce At this year’s Dreamforce, AI is the star of the show, but two essential supporting actors are data and integration. Enterprises are increasingly recognizing the importance of unifying their diverse data sources for effective analysis and swift action, and the race to harness AI makes this integration even more critical. Integration is key not only for merging data but also for automating end-to-end processes, enabling organizations to move faster and deliver better outcomes to customers. Crucial Role of Data and Integration in AI at Dreamforce. It’s no surprise that MuleSoft, acquired by Salesforce five years ago, is now a major contributor to Salesforce’s growth. Brian Millham, President and COO at Salesforce, highlighted this during the company’s recent Q2 earnings call: “In Q2, nearly half of our greater than $1 million deals included MuleSoft. As customers integrate data from all sources to drive efficiency, growth, and insights, MuleSoft has become mission-critical and was included in half of our top 10 deals.” Breaking Down Silos Param Kahlon, EVP and General Manager for Automation and Integration at Salesforce, recently discussed the investments customers are making in data and integration. He emphasized the importance of breaking down operational silos: “We are in the business of breaking silos across systems to ensure that data can travel seamlessly through multiple systems and people for processes like order-to-cash or procure-to-pay. Our technology connects these dots.” The surge in AI interest has increased the urgency to act, as Kahlon explained: “Creating data repositories for AI algorithms requires real-time data across silos, driving significant demand for our integration solutions.” Consolidating Data Enterprises have long struggled with data consolidation due to monolithic application stacks with separate data stores. This has been a challenge even within Salesforce’s own products. Last year, Salesforce introduced a Customer Data Platform (CDP) called Data Cloud, which includes a real-time data layer named Genie. Kahlon elaborated on its significance: “Data Cloud’s strength lies in its understanding and storage of Salesforce metadata. This native integration allows for real-time actions within Salesforce, enhancing the ability to aggregate, reason over, and act on data.” For example, when a customer contacts a bank, Data Cloud can compile their ATM usage, website interactions, and recent support cases, providing the agent with a comprehensive view to better assist the customer. Leveraging Metadata for AI Salesforce’s metadata layer, which has been fine-tuned over two decades, gives it a distinct advantage. Kahlon noted: “This metadata-based architecture allows us to create meaningful AI algorithms that are natively consumed within Salesforce, enabling visualization and action based on real-time data.” This is crucial for training the underlying Large Language Model (LLM) accurately, ensuring generated content is contextually grounded and trustworthy. Kahlon emphasized: “The trust layer is essential. We need to ensure no hallucination or toxicity in the LLM’s responses, and that communications align with our company’s values.” Real-Time Data and API Management Data Cloud’s ability to connect to other data sources like Snowflake without duplicating data is a significant benefit. Kahlon commented: “Duplicating data is not desirable. Customers need real-time access to the actual source of truth.” On the integration front, APIs have simplified connecting applications and data sources. However, managing API sprawl is crucial. Kahlon explained: “Standardizing API use and publishing them in a centralized portal is essential for reusability and consistency. Low-code platforms and connectors are becoming increasingly relevant, enabling business users to access data without relying on IT.” Automation and AI The demand for automation is growing, and low-code tools are vital. Instead of integration experts being overwhelmed, organizations should establish Centers for Excellence to focus on creating reusable connectors and automations. Kahlon added: “Companies need low-code tools to involve more business users in the transformation journey without slowing down due to legacy applications.” In the future, AI may further ease the workload on integration specialists. MuleSoft recently introduced an API Experience Hub to make APIs discoverable, and AI might eventually help monitor execution logs and manage APIs more effectively. Kahlon concluded: “AI could help developers find and use APIs efficiently, enhancing security and governance while simplifying access to data across the organization.” 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

September 13, 2023in Mulesoft, Salesforce, Salesforce Einstein, Snowflake

15Jun

Scale Data and Analytics in the Cloud

Winning in the Data Economy In the rapidly growing data economy, enterprises are eager to gain a competitive edge. This data economy, which revolves around the global supply and demand for data and data-driven applications, continues to expand as more organizations seek critical insights to drive their success. Scale Data and Analytics in the Cloud. The value of data isn’t a new concept. Companies acquired other companies for the sole purpose of obtaining their data – customers, prospects, etc. The value of actionable data is a bit newer. Whereas we once marketed to prospects based primarily on historical data, data-driven applications let us market at the right time on the right channel with the right message. To understand what it takes to excel in the new data economy, Tableau partner Snowflake surveyed business and technology leaders. Their research highlighted the characteristics of the leaders and laggards, emphasizing the importance of a strong data strategy for achieving successful outcomes. Industries like financial services, health and life sciences, and retail are still struggling to fully benefit from the data economy, often finding it challenging to unlock the full value of their data. Here are four key actions that can help organizations win in today’s data economy and achieve tangible results: 1. Create a Strong Data Culture A robust data culture is foundational for realizing the value of data. Organizations that prioritize becoming data-driven see significant benefits: Jennifer Belissent, Principal Data Strategist at Snowflake, emphasizes how a cloud-enabled data culture accelerates time-to-value by breaking down organizational silos. Tableau offers a playbook to help organizations build, expand, and mature their data capabilities. 2. Adopt an AI-Driven, Enterprise-Ready Analytics Platform Data leaders utilize AI-driven enterprise analytics platforms like Tableau, which provide trusted predictions and insights to scale decision-making. Traditional solutions often fall short in delivering speed to insight and self-service capabilities. Tableau, particularly with Tableau Cloud, offers an easy-to-scale solution that manages and analyzes data across various sources, supporting meaningful impact and agility. Tableau Cloud’s Advanced Management capabilities enhance security, usability, and scalability. Additionally, Tableau Accelerators—over 100 ready-to-use, in-product dashboard starters—support various industries, enabling comprehensive analysis and problem-solving. 3. Migrate to the Cloud Cloud adoption is accelerating as organizations pursue data-driven digital transformations. The cloud offers flexibility, agility, scalability, reduced IT overhead, and increased resilience and performance. Key considerations for cloud migration include: Whether opting for on-premise, hybrid, or full cloud migration, Tableau connects to data wherever it resides, fueling insights across the business. Tableau’s own journey to the cloud involved evaluating criteria, enhancing collaboration, and applying new data management processes, resulting in a unified source of truth. 4. Choose the Right Partners to Scale Cloud-Native Analytics Selecting partners that facilitate cloud-native analytics is crucial. Ideal partners should offer: Snowflake and Tableau exemplify these qualities, addressing data and organizational demands. Snowflake provides extensive data storage and processing, while Tableau offers intuitive, self-service analytics. This partnership has helped enterprises like Cart.com achieve significant revenue growth by embedding Tableau analytics in Snowflake’s platform. Embrace the Data Economy with Cloud-Native Analytics Regardless of where your organization stands in the data economy, taking steps to leverage cloud-native analytics can unlock numerous opportunities. Tableau continues to invest in its platform to help organizations thrive with data in the cloud, offering expert advice, solutions, and valuable partnerships. By adopting these strategies, your organization can become a leader in the data economy and achieve remarkable results. 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

June 15, 2023in Salesforce Data Cloud, Snowflake

26May

What Makes Snowflake So Popular?

Why opt for Snowflake over its competitors? What Makes Snowflake So Popular? One of Snowflake’s standout features is its multi-cloud capability, being accessible on major cloud platforms like Azure, AWS, and GCP. This is particularly advantageous for companies operating in multi-cloud environments, as they can seamlessly query Snowflake data from any of these platforms. Snowflake distinguishes itself as a true self-managed service, eliminating the need for users to handle hardware selection, installation, configuration, or management. Moreover, there is minimal software involvement, with ongoing maintenance, management, upgrades, and tuning efficiently managed by Snowflake. If your scaling requirements are primarily related to data warehousing, Snowflake’s data-centric scalability makes it a preferred choice. On the other hand, AWS might be more suitable for general infrastructure scalability across diverse cloud infrastructure components. Organizations opt for Snowflake’s cloud-built data warehouse to achieve significant benefits. These include reducing query times from hours to seconds, providing universal access to all business users, handling structured and semi-structured data swiftly, and doing so more cost-effectively compared to other data analytics platforms. Snowflake’s storage and compute separation enables seamless sharing of live data across business units, eliminating the need for data marts or maintaining multiple data copies. The flexibility to scale virtual warehouses based on specific needs, without concerns about underlying hardware, sets Snowflake apart. Additionally, its pricing model and central data repository contribute to enhanced flexibility, scalability, and cost-effectiveness. Furthermore, Snowflake allows users to share data with partners and customers, irrespective of region or cloud, fostering collaboration on a global scale. If you would like learn more about Snowflake cloud-build data warehouse, contact Tectonic today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

May 26, 2023in Salesforce Development Services, Snowflake

15May

Salesforce Data Cloud Explained

Salesforce Data Cloud, previously recognized as Salesforce CDP/Genie, made its debut at Dreamforce 2022, hailed by Salesforce as one of the most significant innovations in the company’s history. A hyperscale data platform built into Salesforce. Activate all your customer data across Salesforce applications with Data Cloud. Data Cloud facilitates the intake and storage of real-time data streams on a massive scale, empowering automated tasks that result in highly personalized experiences. Data can be sourced from diverse Salesforce data outlets, including Mulesoft, Marketing Cloud, and others, along with customers’ proprietary applications and data sources. Subsequently, it can dynamically respond to this real-time data by automating actions across Salesforce CRM, Marketing Cloud, Commerce, and more, inclusive of automating actions through Salesforce Flow. What is the Salesforce data cloud? Data Cloud is the fastest growing organically built product in Salesforce’s history (i.e. 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. Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. However, Data Cloud is also a product that can be purchased. While not all Salesforce customers have licensed Data Cloud, being at the foundation means they are still taking advantage of Data Cloud to a degree – but this all becomes even stronger with Data Cloud as a personalization and data unification platform. What is the history of Data Cloud? Salesforce has gone through several iterations with naming its CDP product: Customer 360 Audiences → Salesforce CDP → Marketing Cloud Customer Data Platform → Salesforce Genie → Salesforce Data Cloud. In some instances, changes were made because the name just didn’t stick – but what’s more important to note, is that some of the name changes were to indicate the significant developments that happened to the product. Salesforce Data Cloud Differentiators Data Cloud, in itself, is impressive. While many organizations would consider it expensive, if you were to flip the argument on its head, by buying your own data warehouse, building the star schema, and paying for ongoing compute storage, you’d be looking to spend 5 to 10 times more than what Salesforce is charging for Data Cloud. Plus, data harmonization works best when your CRM data is front and center. There are other key differentiators that helps Data Cloud to stand out from the crowd: Is data cloud a data lakehouse? 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. But it also means that we can start to fundamentally move some of our higher-scale consumer products like Marketing and Commerce onto the platform. Is Snowflake a data Lakehouse? Snowflake offers customers the ability to ingest data to a managed repository, in what’s commonly referred to as a data warehouse architecture, but also gives customers the ability to read and write data in cloud object storage, functioning as a data lake query engine. What is the benefit of Salesforce data cloud? Data Cloud empowers Salesforce Sales Cloud with AI capabilities and automation that quickly closes deals and boosts productivity across every channel. It drives customer data from all the touchpoints and unifies it separately in individual customer profiles. Salesforce Data Cloud is a powerful data warehouse solution that allows companies to effectively manage and analyze their data. What is the difference between Salesforce CDP and data lake? Talking abut Salesforce CDP is a little bit like a history lesson. While a CDP provides a unified, structured view of customer data, a data lake, on the other hand, is more of a raw, unstructured storage repository that holds a vast amount of data (more than just customer data) in its native format until it’s needed. 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

May 15, 2023in Data, Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Flow, Salesforce Implementation Services, Salesforce Sales Cloud, Snowflake, Technology

21Mar

Salesforce Solutions

Over time, innovation becomes the cornerstone of organizational growth, unlocking new opportunities. A crucial element in seizing these opportunities is automating and scaling operations with robust solutions. Harnessing Salesforce for Optimal Process Design and Customer Experiences Several factors can impede organizational growth, including strategy, culture, talent, and go-to-market channels. It’s vital to ensure that the tools used by the enterprise do not contribute to these limitations. Salesforce, renowned for its top-tier CRM solutions, is the preferred choice of high-performance companies due to its customer-centric approach, robust features, flexibility, and scalability. This cloud-based CRM platform surpasses traditional sales, customer service, and marketing functions. Successful companies integrate Salesforce as their core enterprise software, combining various CRM tools seamlessly with critical systems like accounting software and ERPs. With over 150,000 businesses worldwide relying on its scalable cloud-based platform, Salesforce significantly impacts business growth. How exactly does Salesforce influence your business growth? If your company utilizes Salesforce solutions, you’re constantly seeking ways to maximize its potential. A closer examination of this CRM platform unveils features that facilitate the establishment of strong customer relationships, foster collaboration across departments, and deliver exceptional customer experiences. Interested in optimizing your business processes with Salesforce? Keep reading! Salesforce Solutions for Streamlined Business Processes Thriving businesses place a premium on providing seamless and intuitive customer experiences. It’s vital to optimize business processes to meet customer demands at scale to uphold competitiveness and profitability. Yet, achieving this optimization is not without its challenges. Customer behaviors evolve with technological advancements and cultural shifts. Without integrated 360-degree customer experiences and customer service ingrained in business processes, scaling to the next level becomes a daunting task. While many companies collect customer interaction data, they often lack the algorithms to effectively utilize and process this data for deep customer insights. Salesforce, often praised as a “super CRM,” not only enables robust integration and analytics insights across all data formats but also empowers organizations to drive business growth. For instance, Salesforce offers significant benefits to the sales department. Sales processes have evolved, demanding high levels of personalization and customization. Savvy organizations utilize Salesforce to establish structured sales processes that encompass every customer touchpoint. By prioritizing the customer, Salesforce helps businesses cultivate mutually beneficial relationships, a core objective. Given the need for a unified system, Salesforce is a preferred choice for connecting functional areas like sales, customer service, marketing, and overall business management, providing a comprehensive 360-degree view of customers. Here’s how Salesforce products can enhance your business processes: Effective Sales Strategy and Customer Retention While many companies focus on using Salesforce solutions for lead acquisition, retaining customers and increasing their Customer Lifetime Value is equally important. Salesforce offers various products to support customer retention: Employees obtain a holistic perspective of each customer, enhancing decision-making and service delivery through insights from their interaction history. Comprehensive customer views support the development of effective strategies and tactics for customer interactions and content creation. Automations, tasks, and reminders can be deployed to initiate actions or nurturing campaigns when customers have not made purchases recently. Salesforce’s data aggregation capabilities and flexible architecture enable customization to address sales and retention requirements. Over time, accumulated data yields profound insights into customer behavior and the efficiency of sales initiatives, facilitating continuous optimization. Employee Productivity Adopting the right technology is pivotal for success. Aside from strengthening customer relationships, Salesforce solutions enhance business progression by: By substituting manual data entry with a user-friendly, cloud-based platform boasting robust data storage, tedious tasks are streamlined. Automated reminders and tasks tailored to lead and opportunity stages lessen managerial supervision. This automation liberates employees’ time, allowing for increased focus on customer interactions and closing deals. Additionally, seamless information access and idea exchange among team members foster collaboration and superior customer service. In essence, Salesforce products empower companies to operate more intelligently through data-driven insights, automated workflows, and elevated customer service, thereby fueling business growth. Scaling Your Business with Premier Salesforce Products Salesforce stands out as a market leader in enterprise SaaS technology and solutions, offering a comprehensive ecosystem to support various business aspects, from sales and marketing to customer service, and beyond. Specialized Salesforce solutions are designed to meet the unique needs of various industries, including manufacturing, high-tech, SaaS, finance, nonprofits, and more. By allowing departments to collaborate and share data, Salesforce promotes efficiency, fosters economies of scale, and breaks down silos between departments. Leveraging Salesforce to its maximum capability enhances user experience and provides personalized customer service seamlessly. Customizable reports facilitate real-time trend analysis and informed decision-making, enabling businesses to maintain a competitive edge. At Tectonic, our team of Salesforce consultants help clients adopt an integrated approach, aligning Salesforce optimization with business strategy and objectives to achieve efficiency, growth, and scalability. Some of the top Salesforce solutions we provide for our clients include: Salesforce Personalization: Creates amazing customer experiences combining real-time data with scalable personalization across platforms. Salesforce Sales Cloud: Enhances sales team productivity, automates tasks, provides real-time sales visibility, and supports scalable sales and business growth. Salesforce Service Cloud: Delivers seamless customer experiences, streamlines service operations, and empowers service agents with tools for efficient customer service delivery. Salesforce Marketing Cloud: Enables personalized marketing campaigns, audience segmentation, and real-time analytics to drive customer engagement and brand loyalty. Salesforce Account Engagement: Leverages powerful customer engagement for B2B companies with great marketing analytics. By leveraging Salesforce solutions tailored to their specific industry needs, businesses can streamline operations, enhance customer experiences, and achieve sustainable growth. Whether you’re in manufacturing, high-tech, financial services, or the nonprofit sector, Salesforce offers solutions to address your unique challenges and drive success. Tectonic is pleased to announce Salesforce Implementation Solutions – to get you started with Salesforce fast. Content updated May 2024. 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

March 21, 2023in Data, Enterprise, Salesforce, Salesforce Marketing Cloud, Salesforce Optimization, Salesforce Personalization, Salesforce Sales Cloud, Salesforce Service Cloud, Snowflake, Technology

22Feb

Salesforce Loyalty Program Explained

Loyalty Management enables you to customize programs that precisely align with the unique needs of your business and customer base. Salesforce, equipped with a flexible platform, aids businesses in reimagining their loyalty strategies. The Salesforce Loyalty Cloud empowers businesses across various industries to effortlessly build intelligent loyalty programs without the need for coding. These programs incentivize customers to engage more with the brand, fostering repeat business. Salesforce Loyalty Program Explained. Unleash the full potential of your Customer Loyalty platform through impactful features: The centralized program management feature allows you to configure loyalty programs tailored to your needs, activate segments across channels quickly, and iterate based on results. Improved customer engagement uses behavior analysis to optimize experiences across web and mobile, tailoring them to individual users. Cross-industry partnerships provide customers with more options, and fast time-to-market for referral promotions is facilitated through a guided setup wizard. Identifying brand advocates and implementing AI-powered referral programs with predictive dashboards enhance program impact. Personalizing promotions based on member data and utilizing predictive performance insights maximize engagement and ROI. A single customer view connects loyalty across the customer experience, triggering marketing journeys and providing insights for enhanced interactions. Elevate your loyalty initiatives, engage customers effectively, and drive business growth with the robust capabilities of the Customer Loyalty platform and the expert guidance from Tectonic. 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

February 22, 2023in Data, Salesforce, Snowflake

23Jan

Snowflake Database

What is Snowflake Database? Snowflake Database serves as the repository for an organization’s structured and semi-structured data sets, facilitating processing and analysis. It offers automated management of various aspects of data storage, including organization, structure, metadata, file size, compression, and statistics. Snowflake: The Global Data Cloud Platform Snowflake stands as a unified global platform powering the Data Cloud, connecting businesses worldwide across diverse data types, scales, and workloads, fostering seamless data collaboration. Understanding Snowflake Database Snowflake, a relational database hosted in the cloud, serves as a data warehousing solution. Leveraging infrastructure from Google Cloud Platform, Azure, and AWS, it combines traditional database features with innovative functionalities. Snowflake: More Than Just a Data Warehouse Snowflake’s Data Cloud encompasses a pure cloud-based SQL data warehouse, uniquely engineered to handle all data and analytics aspects. It offers high performance, concurrency, simplicity, and affordability unmatched by other data warehousing solutions. Snowflake Database’s Role in ETL Processes Snowflake streamlines data loading, transformation, and storage, eliminating the need for additional ETL tools. Its unique features, scalability, and security have led many organizations worldwide to adopt it as their primary Data Warehousing solution. Snowflake’s Integration with SQL and Python Built on a new SQL database engine, Snowflake’s data warehouse architecture is tailored for the cloud. Moreover, Snowflake provides first-class Python APIs for managing core resources, enabling seamless integration without SQL queries. Challenges and Advantages of Snowflake Despite its advantages such as scalability, performance tuning, and data security, Snowflake faces challenges like higher costs and limited support for unstructured data. Snowflake’s Position in Comparison to Other Databases Snowflake offers faster, easier-to-use, and more flexible data storage and analytic solutions compared to traditional offerings. It is not built on existing database technology or big data software platforms like Hadoop. Ownership and Integration Snowflake operates on major public clouds like AWS, Azure, and GCP, offering pre-warmed virtual machines to support rapid compute. Salesforce had a stake in Snowflake but sold its holdings, making Snowflake an independent entity. Snowflake vs. Salesforce: Choosing the Right Solution Snowflake is preferable for businesses requiring a versatile data platform, whereas Salesforce Data Cloud suits organizations already using Salesforce products due to its seamless integration. Some companies utilize both platforms for diverse needs. 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

January 23, 2023in Salesforce, Salesforce Data Cloud, Salesforce Development Services, Salesforce Implementation Services, Snowflake

19Oct

Salesforce Genie Announced

Salesforce Genie announced this year is an innovative data platform recently unveiled at Dreamforce 2022, heralding the world’s first real-time CRM. Genie is the driving force behind Salesforce’s entire Customer 360 platform, delivering hyper-scale, real-time data capabilities. With Genie, any business can harness the power of data to create magical customer experiences, offering seamless, personalized interactions across sales, service, marketing, and commerce. It adapts effortlessly to evolving customer needs. Consider scenarios we encounter daily: the frustration of lengthy customer support calls navigating purchase history, or the challenge of locating specific items on cluttered e-commerce websites. These situations underscore the demand for real-time updates in every customer interaction, a demand that Genie aims to fulfill. In the last 12 hours alone, the volume of stored customer data worldwide has doubled, explaining the delays in customer support. However, with Salesforce Genie, businesses can make sense of their data regardless of source, system, or channel. This unified data drives unprecedented levels of personalization, akin to magic. Salesforce Genie’s Key Features: Genie is pivotal for various industries leveraging Salesforce, like banks managing vast customer records and administrative tasks. Salesforce aims to enhance data utilization without altering existing approaches. Comparison with Salesforce CDP: Genie transcends traditional Customer Data Platforms (CDPs) by: How Genie Works: Genie ingests and stores real-time data streams at scale, integrating them seamlessly with Salesforce data. It consolidates data from diverse channels, legacy systems via MuleSoft, and proprietary data lakes through connectors. Core Pillars of Salesforce Genie: Salesforce Genie’s Extensibility: Genie partners with leading data providers such as Snowflake and Amazon SageMaker, enabling seamless integration and real-time data sharing without data movement. Unified Customer 360 Use Cases: Genie unifies data across Salesforce’s Customer 360 products for various departments: In essence, Salesforce Genie revolutionizes data integration and utilization, enabling businesses to deliver unparalleled customer experiences across all touchpoints. 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

October 19, 2022in Hyperforce, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Salesforce Optimization, Salesforce Sales Cloud, Salesforce Slack, Snowflake

08Feb

Snowpark Container Services

Snowpark Container Services is a fully managed solution designed to simplify deploying, managing, and scaling containerized applications within the Snowflake ecosystem. Key Features Benefits of Snowpark Container Services in Native Apps Integrating Snowpark Container Services into Snowflake Native Apps enables developers to create solutions for various use cases, including: Developers benefit from Snowflake’s Native Apps Framework safeguards, which ensure secure and efficient operations. Development Workflow for Snowpark Container Services Here’s a quick guide to the development cycle for building and deploying containerized services within Snowflake. 1. Develop Code Locally 2. Build and Push an Image 3. Provision Resources 4. Deploy and Test Services Getting Started To build containerized applications with Snowpark Container Services: For a deep dive into architecture and workflows, explore Snowflake’s guides and tutorials on Snowpark Container Services and Native Apps. The Snowflake Native Applications Framework allows developers to package Snowflake features into standalone applications that can be installed across multiple accounts. This framework now supports advanced features for managing resource provisioning and deploying container services. Below is an overview of how to integrate container services into a Native App. Key Components 1. Manifest File The manifest file defines the configuration and setup properties for the application, including: Example Manifest File: Specifying Container Images yaml Copy code manifest_version: 1 version: name: V1 label: “Version One” comment: “The first version of my amazing Snowflake Native App” artifacts: readme: readme.md setup_script: scripts/setup.sql container_services: images: – /provider_db/provider_schema/provider_repo/server:prod – /provider_db/provider_schema/provider_repo/web:1.0 Here: Setting a Web UI as the Landing Page For apps with a web UI, specify a default_web_endpoint field to make the UI the landing page. yaml Copy code default_web_endpoint: service: ux_schema.ux_service endpoint: ui Here, service corresponds to the name defined in the CREATE SERVICE command, and endpoint refers to the service’s endpoint in the specification file. Using Streamlit as a Landing Page Alternatively, you can specify a default_streamlit field to use Streamlit as the landing page. Note: default_web_endpoint and default_streamlit are mutually exclusive—you can only use one. 2. Setup Script The setup script executes during the application installation and upgrade processes. It contains SQL statements for creating: Resource Provisioning for Snowpark Container Services The setup script also includes logic for provisioning resources like compute pools. However, these provisioning procedures are executed post-installation to ensure the consumer has granted the necessary privileges. Managing Compute Pools and Privileges Consumer-Controlled Resource Provisioning A foundational principle of the Snowflake Native Apps Framework is that consumers maintain full control over the resources the application accesses. This includes compute resources. Privileges Required To enable an application to provision resources, specific privileges must be requested in the manifest file: Example Privileges in the Manifest File yaml Copy code privileges: – CREATE COMPUTE POOL description: “Enable application to create its own compute pool(s)” – BIND SERVICE ENDPOINT description: “Enables application to expose service endpoints” Note: These privileges are not granted by default. The installation user may need to request them from another user with the appropriate permissions within the organization. By wrapping container services into a Snowflake Native App, developers can: This approach ensures that both providers and consumers retain control over their resources and data, while maximizing the capabilities of Snowflake Native Apps. Managing Privileges and Deploying Services in Snowflake Native Apps Once a Snowflake Native App is installed, consumers can grant the necessary privileges through various supported mechanisms. Here’s an overview of how to configure privileges, deploy services, and manage app components effectively. Granting Privileges 1. Snowsight UI Configuration Snowflake Native Apps with Snowpark Container Services provide a custom Snowsight configuration UI. When privileges are granted via this UI, it triggers the app’s grant_callback procedure specified in the manifest file. This procedure receives a list of privileges as input, making it ideal for initiating resource provisioning, such as creating compute pools. For containerized apps, this is the recommended approach. Example Manifest Configuration: yaml Copy code manifest_version: 1 configuration: log_level: debug trace_level: always grant_callback: setup.grant_callback 2. Streamlit Integration Using Snowflake’s Permissions SDK, developers can create Streamlit-based pop-ups to request privileges. After privileges are granted through the pop-up, resource provisioning can begin. Specify Streamlit as the landing page in the manifest using the default_streamlit field. This configuration allows Streamlit to invoke the necessary resource provisioning procedures. 3. SQL Worksheet Consumers preferring SQL-based interaction can grant privileges and execute resource provisioning procedures directly through the SQL worksheet. Example Grant Callback Procedure: sql Copy code CREATE OR REPLACE PROCEDURE setup.grant_callback(privileges ARRAY) RETURNS STRING AS $$ BEGIN CREATE COMPUTE POOL IF NOT EXISTS backend_compute_pool MIN_NODES = 1 MAX_NODES = 1 INSTANCE_FAMILY = CPU_X64_XS; CALL services.start_backend(‘backend_compute_pool’); RETURN ‘Callback successful’; END; $$; GRANT USAGE ON PROCEDURE setup.grant_callback(ARRAY) TO APPLICATION ROLE app_public; This procedure creates a compute pool and then calls another procedure to set up services within the pool. Deploying Services Once compute pools are created, the application can deploy one or more services. Scenario 1: The App Has All Required Resources If the app has everything it needs, it can directly execute CREATE SERVICE commands in the grant_callback procedure to set up its services. For services requiring warehouses, the app can request the CREATE WAREHOUSE privilege in the manifest and create warehouses as needed. Scenario 2: The App Needs Additional Consumer Resources If the app requires additional objects (e.g., external access integrations or secrets) from the consumer, references can be used. A reference includes a register_callback procedure that binds the required resources. This procedure can also trigger service creation after the reference is bound. Example Register Callback Procedure: sql Copy code CREATE OR REPLACE PROCEDURE v1.register_single_callback(ref_name STRING, operation STRING, ref_or_alias STRING) RETURNS STRING LANGUAGE SQL AS $$ BEGIN CASE (operation) WHEN ‘ADD’ THEN SELECT SYSTEM$SET_REFERENCE(:ref_name, :ref_or_alias); CASE (:ref_name) WHEN ‘external_access_backend_reference’ THEN CALL services.start_service_with_egress(); WHEN ‘secret_reference’ THEN CALL services.start_service_using_secret(); END CASE; WHEN ‘REMOVE’, ‘CLEAR’ THEN SELECT SYSTEM$REMOVE_REFERENCE(:ref_name); ELSE RETURN ‘Unknown operation: ‘ || operation; END CASE; RETURN ‘Operation ‘ || operation || ‘ succeeds.’; END; $$; This procedure: Packaging Service Specifications Service creation requires specification files, which must be included in the app package (typically alongside the manifest.yml). These files define the service

February 8, 2022in Data, Snowflake

20Oct

Snowflake and Salesforce Marketing Cloud

Harnessing the Power of Salesforce Marketing Cloud and Snowflake Two of the most influential trends in marketing technology (MarTech) and analytics today are Salesforce’s Marketing Cloud (SFMC) and Snowflake’s data warehousing platform. SFMC offers marketers a robust Journey Builder experience, while Snowflake eliminates data silos, making more data accessible to analysts than ever before. Both platforms are next-generation, cloud-first solutions that open new possibilities for marketers and are already helping to create more compelling and relevant experiences for consumers. A shared commitment to simplifying the end-user experience while unlocking a vast array of new data capabilities makes these solutions powerful examples of “soft technology.” Soft Technology: Snowflake and SFMC “When I speak about the power and virtues of technology, I am referring to soft technology: technology that is flexible, that is under our control.” — Don Norman What makes a technology great is its ease and flexibility for end users. Both SFMC and Snowflake simplify the user experience for their target users with remarkable results. SFMC’s Journey Builder allows marketers to build sophisticated journey orchestration flows on a canvas similar to how they might draft a journey on a whiteboard. Once configured, there’s no need to call IT for support; it’s time for delivery. Snowflake targets analysts, data engineers, and data scientists, breaking down data silos and removing traditional storage and processing constraints. This allows them to focus on solving business problems rather than dealing with perpetual data consolidation and cleansing. Snowflake also simplifies working with different types of data, such as unstructured data like logs or customer activity signals, through its “variant” datatype. The Perils of “Hard Technology” for SFMC Users “Hard technology remains unheedful of the real needs and desires of users. It is a technology that, rather than conforming to our needs, forces us to conform to its needs. Hard technology makes us subservient;” — Don Norman SFMC’s Journey Builder users are most productive when their source data is well-prepared for marketing purposes. However, as marketing needs evolve, new customer profile data and segments are required, often necessitating IT intervention and the use of complex SQL queries or programming languages. An inefficient process often emerges: This lengthy process can slow down time-to-market for campaigns and hinder marketing agility. Bridging Snowflake and SFMC to Avoid Hard Technology Low-code and visual SQL tools allow campaign analysts to remain business-focused and meet most of their daily data needs without relying heavily on IT. These tools are now more powerful thanks to modern data warehousing platforms like Snowflake, which supports SQL-like querying of unstructured data directly. Low-code solutions help marketers maintain productivity within SFMC’s Journey Builder by enabling them to autonomously explore and retrieve new customer data and segments. Checklist for Low-Code & Visual SQL Tools For maximum impact, look for low-code and visual SQL tools that: Simplifying Data Integration with Skyvia, Integrate.io, and GetCensus Skyvia Skyvia allows you to replicate Salesforce Marketing Cloud data to Snowflake with minimal configuration. It creates tables for cloud data automatically and keeps the data updated with incremental updates. Integrate.io Integrate.io provides a lightning-fast CDC platform for Salesforce data integration, offering robust ETL and ELT capabilities to connect your Salesforce data with hundreds of other apps. Integrate.io’s low-code interface allows for easy configuration and seamless data migration. GetCensus GetCensus enables data synchronization between Snowflake and Salesforce Marketing Cloud in four simple steps: By leveraging these tools and platforms, marketers can enhance their campaigns and improve customer experiences through efficient and effective data integration and management. 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

October 20, 2021in Salesforce Marketing Cloud, Snowflake

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