Analytic Platforms and the Value of Shared Context and Business Logic

Modern self-service personal productivity analytic tools allow individual users to create sophisticated calculations and sets. However, for an organization to maximize the value of analytics this business logic must be released from myriad of spreadsheets and documents that it is embedded. Join us to discuss how analytic platforms allow data-driven organizations to centralize, share and contextualize this content.
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OTHER ON-DEMAND WEBINARS

BI & Data Trends 2022

According to PwC, nearly 4 out of 5 CEOs believe that remote collaboration will last after the pandemic. And Gartner predicts that through 2025, 80% of organizations trying to scale digital business will fail because they don’t take a modern approach to data and analytics governance.
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High-Impact Analytics for Financial Services: Integration Updates to Salesforce Genie, Snowflake, and CRM Analytics

Learn how the unique relationship between Salesforce Genie, Snowflake, and CRM Analytics is creating new ways for financial services firms to realize the value of customer data. Join us as industry leaders showcase the different real-time data integration options and discuss how customers are leveraging these platforms to achieve success today.
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Riding the Data Privacy Wave: How Will You Stay Afloat?

IBM

Data privacy regulation is bigger than just GDPR. Other countries and jurisdictions are enacting their own versions of the data privacy regulation, each with subtle nuances - such as the California Consumer Privacy Act (CCPA), Lei Geral de Proteção de Dados (LGPD), and more - and that’s on top of existing privacy regulations. Moreover, consumers increasingly expect more protection for their sensitive information. A recent IBM-Harris poll of 10,000 individuals revealed that 75% of consumers won’t buy from companies they don’t trust no matter how great their product or service.
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Adapting Your Data Science & Data Analyst Career

The explosion of data means that data scientists and analysts need to understand how to manage big data and how to use automation tools to help deal with the data overload. What do you need to do to prepare your career for this emerging reality?
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