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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Spotlight

OTHER ON-DEMAND WEBINARS

Gain Context, Insight and Value from Big Content

OpenText

The Internet of Things, social media and enterprise content all have one thing in common: they generate vast quantities of data — ever-faster. So much so that picking out relevant information and assembling it into meaningful patterns is a tall order. These new data sources also present another challenge. They generate unstructured data - such as text and emojis - that don’t fit neatly into traditional database structures. This data can however hold valuable insights on important and hard-to-quantify concepts such as social sentiment.
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A Review of the Top Game Changing Data Trends for 2018

infogix

During this interview-style webcast Infogix’s Emily Washington, SVP of Product Management looked ahead in 2018 and predicted what trends will come to fruition, what new concepts will graze the horizon, and what may fail to launch.
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Modernizing Metadata

tdwi.org

Metadata is more relevant than ever. It continues to be a powerful enabler for high-value data-driven business activities across operations, analytics, and compliance. However, to maintain this relevance, metadata management must deal with the increasing complexity of today’s business use cases and hybrid data environments. Metadata management is notoriously manual which makes it slow in development and error-prone in maintenance. Metadata management needs better tool automation. Metadata management is typically siloed due to users managing metadata per tool or platform. Metadata management needs a unified solution that is suited to sharing, reuse, governance, and comprehensive views of distributed data.
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Top Trends in Modern Data Architecture for 2019

Percona

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.
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