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Achieving Business Analytics Success

Datavail

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

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What is data analytics? Analyzing and managing data for decisions

CIO

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. In business analytics, this is the purview of business intelligence (BI).

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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of business analytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data.

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What Do CIOs Have To Know About Business Intelligence?

The Accidental Successful CIO

In IT the term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. Understanding Business Intelligence vs. Business Analytics.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. The Data Analyst. The Data Engineer.

Data 98
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Change The Way You Do ML With Applied ML Prototypes

Cloudera

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. These are core skills for any data scientist or model developer. But as many organizations can attest, developing good models is only half the battle.