The Credit Union Executive’s Guide to Data and Analytics

For most credit unions, data and analytics are top of mind. But what exactly does "analytics” encompass, and what do industry buzz words like machine learning and big data actually mean to Credit Unions? Join Brewster Knowlton, noted analytics expert and strategist for the credit union movement, for an educational session simplifying how to best strategize and execute analytics projects for credit unions on the quest to leverage the power of their data.
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OTHER ON-DEMAND WEBINARS

Data Analytics and AI Fraud, Waste, & Abuse

Join Google Cloud, SpringML, and Carahsoft for a webinar as we explore a framework for combating fraud, waste, and abuse. It’s not enough to chase down fraud after it happens — our solution helps you proactively identify fraud, waste, and abuse before it infiltrates your system and doesn’t penalize legitimate claims.
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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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Sharing and Deploying Data Science with KNIME Server - February 2019

KNIME

You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units? KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems.
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Get the Right Fit

waterlinedata.com

Join data management guru Dave Wells for this educational webinar on the data catalogs role, and how to get the best fit for your enterprise.Managing data in the age of big data and self-service analytics is a complex job. Managing data without a data catalog is difficult and fraught with risk. Data cataloging is the new gold standard for metadata and an essential component of modern data management. Data catalogs support data curation and data stewardship with intelligent and automated tagging, profiling, and linking to business glossary. They help business analysts and data scientists to quickly find data and evaluate the fit for their specific use cases. Strategically, cataloging is at the core of data asset management with direct impact for data governance, regulatory compliance, and analytic quality and efficiency.
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