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Prevent Customer Churn: Customer Retention in the Transition to Microsoft D365 F&SCM

Jet Global

These benefits come with a caveat, however. In this respect, we often hear references to “switching costs” and “stickiness.” When the cost of switching to a new product is high, customers tend to remain where they are. Ultimately, though, switching costs are not so much about absolute numbers as they are about relative costs.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads. Amazon Redshift provides comprehensive data security at no extra cost. For Connection name , enter a name (for example, olap-azure-synapse ). You can also run predictions using SQL.

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Goodbye Oracle Discoverer, Hello Next-Generation Reporting

Jet Global

Oracle’s 2014 Statement of Direction laid out its support strategy. Users who transferred from premier to extended support did not have the benefit of being certified with most new third-party products/versions (such as web browsers and Windows 10), or more new Oracle products. But does OBIEE stack up?

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Data Mining – useful or not?

Jen Stirrup

There are lots of definitions out there, but I like the Gartner one best: “ A broad category of applications and technologies for gathering, storing, analysing, sharing and providing access to data to help enterprise users make better business decisions.” Propensity to Churn. Propensity to Buy.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Then a query engine gets busy, with much happening under the covers: query history and stats inform various optimization strategies; indexes get used automagically; intermediate results get caches; algorithm variants are substituted, and so on. The benefits of this approach (lower cognitive load, etc.) That represents runtime overhead.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. This is inefficient from both a cost and performance perspective.