Predictive Analytics and Customer Lifetime Value - An Inside Perspective

Customers are your primary perhaps exclusive source of cash flow. Knowing which ones are most profitable is key to maximizing future economic value. This webinar explores how using predictive analytics and a Customer Lifetime Value (CLV) methodology can provide the framework for a strategy that focuses on every level of customer engagement, from brand awareness to customer loyalty and retention.
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OTHER ON-DEMAND WEBINARS

Transforming the Database: Critical Innovations for Performance at Scale

Your team is serious about ensuring database performance at scale. But legacy NoSQL technology could be eroding the impact of your achievements. Following best practices for efficient data modeling, query optimization and observability is fundamental. But their power can be limited – or enhanced – by specific database capabilities. Often-overlooked database innovations can serve as a force multiplier, paving a much smoother path to speed at scale (e.g., millions of read/write operations and millisecond P99 response).
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Planning for a Scalable Enterprise Data Lake

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In this webinar we will discuss a more modern view of the data lake and consider best practices for planning and implementing a scalable enterprise data lake. The flaws in early data lakes were often rooted in the expectations of data consumers who put a premium on self-service data analytics. However, with no data governance mechanisms, data lakes quickly became more of a glorified “dumping ground,” “data swamp,” or “beta lake” for organizational data.In recent years, though, some innovations have allowed the data lake to evolve into an agile yet managed environment for accumulating shared data resources that can be optimally used for competitive advantage. Data lakes have evolved beyond the original on-premises concept based solely on Hadoop and now include pretty much any distributed computing platform (Hadoop, Spark, EMR, serverless, etc.) and any storage mechanism (HDFS, S3, ADLS), either on-premises or in the cloud.
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3 Ways Redis Enterprise Helps Customer Modernize Apps

Explore three common ways that customers use Redis Enterprise to build a bridge to modern real-time applications. Today’s applications are faster, more powerful, and routinely capable of doing things that were considered extraordinary just a few years ago. Your applications must evolve. But who wants to constantly migrate, replatform, or re-architect?
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Data Analytics and Insights: Fueling a Better Future for HigherEd

We live in a data-driven world. If higher education institutions don’t take steps to derive actionable insights from their data, they will miss out on opportunities to identify problems and enact positive change that will fuel the future of HigherEd. Join this webinar to learn how having access to the right analytics – and deriving actionable insights from that data – can benefit every area of your institution and help your team tackle the challenges facing HigherEd today.
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