Snowflake Archives - gettectonic.com - Page 4

pardot1084082=08782fe4994719f386e1d3c9bbd9a12817d57a65b36593fbba0e8645340e02b6

Salesforce Genie Announced

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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce Data Cloud

Drive Sales and Service With Real Time Data

Sales and Service Personalization: drive sales with real time data Enhance customer and prospect interactions by integrating real-time engagement data directly into your sales and service consoles. Provide service teams with the ability to proactively address queries and deliver effective case resolutions by swiftly accessing a customer’s recent interactions across diverse business touchpoints. Empower your sales teams with deeper insights into an account or prospect’s purchase journey, enabling more relevant conversations and offers based on real-time knowledge of consumed content, viewed products, or time spent on your site. Know your buyers. Attain a comprehensive view of your buyers by combining 1st and 3rd party data with the robust capabilities of Salesforce’s industry-leading Customer Data Platform (CDP). Imagine closing prospects instantly. With real-time data, it’s possible! Real-time sales data enables you to identify recent changes, such as mergers, acquisitions, new job openings, or promotions. Equip your sales team with a competitive advantage, allowing them to promptly contact potential customers and initiate sales activities. So, what is real-time data, how does it work, and how can you implement it without a complex data infrastructure? This article explores all these aspects and highlights the benefits of utilizing accurate B2B data for real-time sales. What is real-time data? Real-time data refers to immediate and continuous access to information about sales activities, customer interactions, and market trends. For your sales and marketing teams, this means capturing, analyzing, and utilizing up-to-date data to make informed decisions, enhance sales processes, create personalized experiences, and strengthen customer relationships. Real-time data is crucial because it offers numerous benefits for B2B businesses. This insight will explore some tangible benefits that real-time data can provide for your company: Access up-to-the-minute information on customer behaviors, preferences, and buying patterns, allowing your B2B sales team to engage with prospects immediately. Real-time insights into events like funding, promotions, or team expansions can trigger timely sales activities, such as emails, LinkedIn messages, or call invitations. Immediate updates from real-time sales insights enable businesses to adjust pricing based on market fluctuations or competitive moves. Real-time data collection helps track competitor pricing, customer demand, and inventory levels, allowing for optimized pricing strategies and instant adjustments with minimal effort from your sales team. Incorporate robust key management for data security to safeguard sensitive information and avoid additional risks. When a prospect expresses interest or takes specific actions, such as visiting a website or filling out a form, you can immediately engage with them. Define sales triggers and actions, such as emailing to schedule a demo after a prospect visits your pricing page. Real-time data processing allows for automated nurturing of prospects, eliminating the need for manual tracking and outreach. Gain real-time actionable insights into sales performance, leading to accurate sales forecasting. Sales managers can monitor sales data in real time, track progress against targets, adjust strategies, and manage pipeline visibility for more precise financial projections aligned with future financial planning. Instant data offers the opportunity to personalize customer interactions more effectively. Access real-time data analytics on customer preferences, purchase history, and previous interactions to tailor relevant recommendations and provide a personalized customer experience. Real-time data analysis provides instant visibility into sales performance metrics. Sales representatives can monitor their performance, including call activity, conversion rates, and revenue generated, in real time. Immediate feedback enables reps to course-correct, improve sales techniques, and achieve better results. By monitoring real-time market trends, competitor activities, and customer feedback, sales managers can make data-driven decisions, adjust sales strategies, and seize emerging opportunities. Business intelligence tools offering real-time data services help sales teams promptly address customer issues or concerns. By tracking customer behavior, feedback, complaints, and inquiries in real time, sales reps can proactively contact customers and help resolve issues. How does real-time data work? Real-time data involves capturing specific actions on the go, such as customers’ activities on your website or offsite, like visiting sales pages, checking your company’s LinkedIn profile, or exploring similar sites. Events are collected before storing any information, allowing for instant management of sales data and predictive analytics. Marketing and Sales Use of Real-Time Data: Updating lead records in real time results in better sales performance and cost savings across the entire business. Real-time big data can be used in various ways for better business decisions, such as: Examples of Real-Time Data: Real-time intent data helps identify potential customers actively researching or showing interest in products like you are selling. This data can be gathered from various sources, including website tracking, social media monitoring, and content consumption patterns. Ultima used a real-time data solution to access intent data and direct dials, resulting in ROI in just 8 weeks. Real-time data is a valuable asset for B2B businesses, offering timely opportunities, dynamic pricing, immediate lead engagement, accurate forecasting, personalized customer interactions, instant sales performance insights, agile sales strategies, and prompt issue resolution. Understanding how real-time data works and leveraging it effectively can significantly enhance the performance and efficiency of your sales and marketing teams. How do you use data to drive sales? What is an example of a data-driven sales? A B2B company that manufactures and sells industrial equipment can use a data-driven approach that involves analyzing purchasing data from their CRM, tracking industry trends, and using customer feedback surveys to understand what customers truly value. To drive sales with real time data, you need a tool like Salesforce and Salesforce Data Cloud. A real-time data sales strategy is a strategy that focuses on delivering immediate responses from customers. The methodology of real time selling is a way for brands to interact with their customers using stuff that’s actually happening at that time. The real time sales are based on insights into a customer’s online actions. The insights are analyzed and utilized quickly with AI. Drive sales real time data. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow

Read More
Snowflake and Salesforce Marketing Cloud

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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Snowflake and Salesforce with Embed

Snowflake and Salesforce with Embed

Snowflake has deepened its partnership with investor Salesforce by introducing two tools that seamlessly connect their cloud-native systems. Snowflake and Salesforce with Embed. These integrations empower customers to export Salesforce data to Snowflake and analyze it using Salesforce’s Einstein Analytics and Tableau applications. The overarching goal is to provide enterprises with a unified repository for all their data. Snowflake and Salesforce with Embed The first tool, Einstein Analytics Output Connector for Snowflake, allows customers to transfer their Salesforce data into the Snowflake data warehouse, integrating it with data from other sources. This enables joint customers to consolidate all their Salesforce data within Snowflake. Automated data import ensures that the Snowflake copy remains up-to-date. The second tool, Einstein Analytics Direct Data for Snowflake, enables users to execute queries within their Snowflake Salesforce repository. These queries can also include data from other sources such as business applications, mobile apps, web activity, IoT devices, and datasets obtained through the Snowflake Data Marketplace and Private Data Exchange. The Einstein Analytics Output Connector for Snowflake is set to become available to customers later this year, while Einstein Analytics Direct Data for Snowflake is currently in open beta and is expected to be generally available later this year. Salesforce’s substantial investment in Snowflake, as a co-lead investor in its recent $479 million funding round, underscores its vested interest in Snowflake’s success. This deepened partnership between Snowflake and Salesforce highlights their commitment to providing innovative solutions that empower enterprises to harness the full potential of their data. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
gettectonic.com