Remove Digital Transformation Remove Management Remove Prescriptive Analytics Remove Visualization
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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics? Data analytics methods and techniques.

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MRO spare parts optimization

IBM Big Data Hub

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. regulations, undergoing digital transformation and the need for cost-cutting. Can you conduct what-if scenarios to visualize your options? What’s at stake?

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. AI comes handy for managing inventory, manufacturing, production and marketing. Artificial Intelligence Analytics.

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Introducing Cloudera DataFlow (CDF)

Cloudera

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. CDF can do this within a common framework that offers unified security, governance and management.

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Five Steps for Building a Successful BI Strategy

Sisense

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent. Do you want to be more efficient?

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

How do you think Technology Business Management plays into this strategy? As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Value Management or monetization.

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What Is Data Intelligence?

Alation

Cloud Transformation. Digital Transformation. Processing metadata: Describes transformations and derivations applied as data is managed through its lifecycle. In this way, active metadata fuels data intelligence within an enterprise and supports better data management. Master data management.