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Building a culture of data-driven decisions and insights with IBM Business Analytics

IBM Big Data Hub

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. With IBM Business Analytics Enterprise, users discover and access analytics and planning tools in a streamlined experience.

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Achieve Insightful Operational Reporting ?for Oracle ERPs

Jet Global

Your business needs actionable insights from your Oracle ERP data to respond to volatile market conditions and outpace your competition. But generating custom reports requires deep technical knowledge and the process is often managed by IT. Only 23 percent are able to produce all the operational reports required.

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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 2) Uncovering Fresh Business Insights.

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CFO Panel: Generating Value in a Post-Pandemic Market

Jet Global

Meet the CFOs Regan Garrett, CFO, Numerator: With vast experience in finance, strategy, and business operations, Garrett leads Numerator’s global finance function. She previously held roles at Vista Equity Partners and served as SVP of Business Operations at Mediaocean. I think we’ve got some ways to go.

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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

datapine

By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. Try our professional reporting software for 14 days, completely free! Try our professional reporting software for 14 days, completely free!

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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.