Conner Elliott

Exciting usecases with Snowflake + Salesforce Data Cloud : Retailers can now combine Commerce and Service Cloud data from Salesforce with point-of-sale and supply chain data in Snowflake to help troubleshoot customer challenges and pinpoint manufacturing issues. With a comprehensive single source of truth that combines ERP data with customer data, retailers can also run targeted campaigns that feature discounts for surplus inventory. CPG customers have heavy advertising budgets but lack first-party data due to indirect contact with customers. CPG customers must rely on secure data collaboration methods that allow them to gather data which allows them to run more effective ads more confidently. By sharing Salesforce Marketing Cloud and Sales Cloud data from Salesforce to Snowflake, unifying those data sets with their own financial and sales data, CPG customers can then use a data clean room to share data with their retail partners without exposing PII, to gather a more refined view of their advertising and marketing performance. This allows them to adjust strategies and better allocate ad spend to maximize ROI. Finally, CPG customers can then share refined audiences back to Salesforce to execute consistent, cross-channel campaigns through the Salesforce Marketing Cloud.

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Snowflake's pay-as-you-go model makes query optimization essential for eliminating inefficiencies. Understanding Cost Per Query (CPQ) can help you reduce waste and boost performance across your cloud data environment. Check out this blog to discover how you can start optimizing your Snowflake queries today! #Snowflake #CloudOptimization #DataEfficiency #CapitalOneSoftware #Slingshot

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Databricks Clean Rooms, powered by Delta Sharing, enables organizations across industries to collaborate with partners in a privacy-safe manner without relinquishing control over sensitive data. #USDA Modernization Key features: ✔️ Any language, any workload ✔️ Any cloud, no replication ✔️ Any scale, any trust level Learn how it works👇

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Snowflake launched two new features today to help customers use their platform safely. 1) allowing Admins to Enforce Mandatory MFA and 2) the GA launch of Snowflake Trust Center to give a place for admins to monitor the adherence to MFA policies. Mandatory MFA is critical for any SaaS app to be used safely. Password harvesting/reuse/stuffing provides a direct vector to the data that you store in a SaaS app. Glad to see it's coming to Snowflake Their trust center gives admins the flexibility to start their MFA enrollment process with a warning step, or jump right to enforcing MFA for all users. Thank you for releasing this feature for free with all versions. Safety isn't a place for an upsell. If you are a Snowflake admin enable a MFA policy to warn all your users without MFA enabled, and work with your internal stakeholders to set the day when it's mandatory This is great news to see https://lnkd.in/e2DpEV8W

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If you are a customer of Snowflake and Salesforce this integration is game changing. Deeper integration = more ROI as illustrated via 3 industry use case examples below. Data is only valuable to the Business if it’s Accessible, Actionable & can be used in the front office: 💪 Retailers can use Commerce and Service Cloud data w/ POS and supply chain in Snowflake 💪 CPGs can organize Marketing and Sales Cloud in Data Cloud w/ financial and transaction data in Snowflake; and share data via clean room 💪 Media orgs can use 1P data in Data Cloud to power media campaigns via Snowflake clean rooms or Data Cloud ad activations

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This is part of the "Shift Left" movement with Stream Processing including a 2 min Demo Video of Confluent Streaming with Snowflake https://lnkd.in/gzPiqx_R

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Our commitment to AI-driven solutions and strong alliances with Snowflake and Databricks are enabling significant advancements in data management and analytics. Check out this SiliconANGLE & theCUBE article where Rob Strechay and George Gilbert discuss how Informatica remains at the forefront of data management, consistently driving innovation and customer success:

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Introducing Salesforce Bring Your Own Model for Databricks — a powerful new integration! Build, train, and deploy custom #AI models in Databricks and effortlessly integrate them into Salesforce to deliver intelligent and personalized customer experiences. Use cases include: ➡️ Deal Forecasting ➡️ Customer Journey Prediction ➡️ Product Recommendation Learn more about this new collaboration!

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Well written piece in Solutions Review by Tim King Why You Should Attend 🧠 For data engineers: Broaden your knowledge and expand your skills by learning from industry experts and your peers how to deliver high-quality, reliable data for every use case from BI to AI. 🧠 For data scientists: Learn how lakehouse and tools like MLflow can accelerate productionization of models, increase productivity, reduce risk and increase ROI on new models. 🧠 For data architects: Architects require a future-proof, unified platform that facilitates all analytics and AI on one data copy, catering to diverse data types while ensuring organization-wide security and governance. 🧠 For data executives: Learn how the lakehouse architecture unifies data, analytics and AI on a single platform for better performance, lower TCO and faster innovation. There is still time to register! https://lnkd.in/gKQ_84Sh https://lnkd.in/gYHDwHb5

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When Klarna hit the headlines for utilising AI to handle two-thirds of their customer service chats, Execs were sharing '𝘸𝘦'𝘳𝘦 𝘢 𝘺𝘦𝘢𝘳, 𝘵𝘰 𝘵𝘸𝘰 𝘺𝘦𝘢𝘳𝘴 𝘰𝘶𝘵 𝘧𝘳𝘰𝘮 𝘣𝘦𝘪𝘯𝘨 𝘳𝘦𝘢𝘥𝘺 𝘧𝘰𝘳 𝘈𝘐' too. The most common reasons: - No or few internal AI resource/skillsets - Concerns with proprietary/IP data exposure to the LLM developers. Both of these are nonissues using Snowflake, and actually most firms are closer to being ready for AI adoption than they first thought. Super post from Matt! Great blog too if you want to explore a Klarna-esk Call Centre Analytics use case: - Reference Architecture - Demo - Source Code - Walk-through Tutorial to build it yourself

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Databricks Clean Rooms, powered by Delta Sharing, enables organizations across industries to collaborate with partners in a privacy-safe manner without relinquishing control over sensitive data. Key features: ✔️ Any language, any workload ✔️ Any cloud, no replication ✔️ Any scale, any trust level Learn how it works👇

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Databricks Clean Rooms, powered by Delta Sharing, enables organizations across industries to collaborate with partners in a privacy-safe manner without relinquishing control over sensitive data. Key features: ✔️ Any language, any workload ✔️ Any cloud, no replication ✔️ Any scale, any trust level Learn how it works👇

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Snowflake Polaris: POC Status 2. Branching, tagging, branch fast-forwarding, expiring snapshots, and all other maintenance procedures are working smoothly without any issues. I’m hopeful that Snowflake will assist with the issues I’m experiencing related to add_files and register_table procedures. Snowflake Dremio ambariCloud Today's Quote: Arrogance has toppled empires.

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I ❤️ showing Tableau on Salesforce #DATA 📈 📊 Here is an example of our Who's Hot Application that allows us to identify the accounts, people, titles and content that is being consumed as it relates to our technology allowing us to respond, engage and drive relevant sales cycles with our prospects and customers. Data is everything, it is the food we eat, the water we drink and the air we breathe. If you are all open to it, I will keep sharing how I use Tableau to lead my 50+ person sales organization across the America's enterprise business!

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LakeFlow Connect is now in Public Preview for SQL Server, Salesforce, and Workday! These connectors provide a simple and efficient way to ingest data into the Databricks Data Intelligence Platform, allowing users to spend less time building complex ingestion pipelines and more time innovating. Learn more👇

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LakeFlow Connect is now in Public Preview for SQL Server, Salesforce, and Workday! These connectors provide a simple and efficient way to ingest data into the Databricks Data Intelligence Platform, allowing users to spend less time building complex ingestion pipelines and more time innovating. Learn more👇

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#DatabricksSQL warehouses provide up to 12x improved price performance over standard interactive clusters. You can now use Databricks Notebooks on SQL Warehouses to write and schedule Git-backed, multi-statement, and parameterized SQL👇 https://dbricks.co/4agOeJo

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Salesforce Data Risk Stats - A view into the average Org: - 2300+ Fields with sensitive or high-risk data exposed - 84% Still have sensitive data exposed after buying Salesforce Shield - 88% Users are over-privileged - 45% Of users have Administrative access to sensitive data At Own Company we can run a Security Risk Assessment on your SFDC org that delivers a comprehensive assessment that navigates the nuances of Salesforce controls and provides a data-driven, risk-prioritized action plan for securing your most sensitive customer data.

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