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Big Data And Analytics Has Been Around Forever! Why Is It Still Important?

Timo Elliott

These are some quick answers to some common questions I get about Business Intelligence, Big Data, and Analytics: Big Data. Why is it still important for innovative businesses? It’s clear that data is one of the most important assets of the future. The term has been around for quite some time.

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Gartner BI & Analytics Summit, Mumbai, 2017: My Take

ElegantJ BI

We had a great response, especially with our Smarten Advanced Data Discovery with self serve data prep, smart visualization and plug n’ play predictive analytics. Our team offered demonstrations of the ElegantJ BI solution at the booth and I am happy to say that our demos were very well received.

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Gartner BI & Analytics Summit, Mumbai, 2017: My Take

ElegantJ BI

We had a great response, especially with our Smarten Advanced Data Discovery with self serve data prep, smart visualization and plug n’ play predictive analytics. Our team offered demonstrations of the ElegantJ BI solution at the booth and I am happy to say that our demos were very well received.

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Gartner BI & Analytics Summit, Mumbai, 2017: My Take

ElegantJ BI

Blockchain: Separating the Magic From the Reality for Data and Analytics with Ted Friedman. The Closing Session Keynote on digital transformation by Partha Iyengar. We had a great response, especially with our Smarten Advanced Data Discovery with self serve data prep, smart visualization and plug n’ play predictive analytics.

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Data fabric’s value to the enterprise

Tableau

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Metadata management that supports a native analytics catalog with full view of your data assets and sources and provides metadata in context for fast data discovery.

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Data fabric’s value to the enterprise

Tableau

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Metadata management that supports a native analytics catalog with full view of your data assets and sources and provides metadata in context for fast data discovery.

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3 Steps on the Data Integration Roadmap

Domo

Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.