The Credit Union Executive’s Guide to Data and Analytics

Knowlton

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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Spotlight

Walmart has one of the largest collections of data in the world, processing more than 2.5 petabytes of big data, hourly. In fact, while you’re reading this sentence, we just processed half a trillion rows of data, performed calculations and are rendering that data visually. We’ve integrated hundreds of internal and external data objects into our analytics – meaning we can layer in things like weather product sales status, pricing, inventory and a lot more – all to anticipate our more than 250 million weekly customers’ needs. What once took days or weeks now takes minutes. Our Statistical Analysts, Data Engineers and Advanced Database Administrators (in areas such as Cassandra, HANA, Altryx, Angular, Python and Hadoop) are impacting the industry on a scale like no other. Do you #LoveData and the idea of impacting millions with your work? As our data continues to grow exponentially, the potential for advanced analytics and data science opportunities are endless.

OTHER ON-DEMAND WEBINARS

Top 10 Data and Analytics Trends for 2022

The pandemic has drastically changed the way of business. Shifting consumer behaviours and needs have invalidated many of the data and analytics strategies that many organisations have been relying on for years. Businesses now need to find new ways to understand, reach and serve customers effectively. To do it, they need a new approach to Data and Analytics that looks nothing like the one before.
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Analyze Data Faster with an Open Source Columnar Database

MariaDB

If you are looking for the scalability and performance needed to support interactive, ad hoc analytics on billions of rows – and with SQL – this latest Data Science Central webinar will show you how to combine distributed, columnar storage and parallel query processing with powerful aggregate functions to deliver faster time to insight using modern, on-demand analytics, as well as how to leverage the power of Kafka and Spark connectors to plug into existing data pipelines. We will discuss the architectural overview of columnar databases, share real-world use cases and give a live demonstration.
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Webinar Recording: RDCA-DAP Collaboration with Clinerion for Real World Data Solutions

The Rare Disease Cures Accelerator–Data and Analytics Platform (RDCA-DAP®) is launching a new webinar series with the goal of sharing with the community examples of the use of rare disease person-level data in drug development and regulatory decision making. The series will feature 1-hour webinars highlighting analyses that have been done in individual disease areas, how they informed drug development, and how similar approaches could be applied to common drug development issues encountered in rare diseases. After each presentation time will be allowed for discussion with a panel of Quantitative and Regulatory experts around why the solutions presented were informative, lessons learned and how similar approaches could be applied to related problems.
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Why is a Central Analytics Team Vital to a Self-Service Data Culture?

When your teams are building products for competitive markets and demanding customers, the right insights can make all the difference. Join us for this month’s Coffee Chat webinar to learn how you help your whole organization make better decisions, take faster action—and deliver the kind of experiences that drive revenue, loyalty, and lifetime value.
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Spotlight

Walmart has one of the largest collections of data in the world, processing more than 2.5 petabytes of big data, hourly. In fact, while you’re reading this sentence, we just processed half a trillion rows of data, performed calculations and are rendering that data visually. We’ve integrated hundreds of internal and external data objects into our analytics – meaning we can layer in things like weather product sales status, pricing, inventory and a lot more – all to anticipate our more than 250 million weekly customers’ needs. What once took days or weeks now takes minutes. Our Statistical Analysts, Data Engineers and Advanced Database Administrators (in areas such as Cassandra, HANA, Altryx, Angular, Python and Hadoop) are impacting the industry on a scale like no other. Do you #LoveData and the idea of impacting millions with your work? As our data continues to grow exponentially, the potential for advanced analytics and data science opportunities are endless.

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