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Data Strategies for Getting Greater Business Value from Distributed Data

Data Virtualization

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Data Strategy in a Working from Home Climate

Peter James Thomas

When I occasionally re-read articles I penned back in 2009 or 210, I’m often struck that – no matter how many things have undeniably changed over the intervening years in the data arena – there are some seemingly eternal verities. These articles have a certain timeless quality to them. True then, true now.

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Practical Points from the DGPO: Tying Data Strategy to Corporate Strategy

TDAN

Corporate survival will need a solid corporate strategy with an accompanying data strategy. Having a data strategy will enable data-driven decisions.

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Data Value Chain: EDM Block (formerly Lego) Framework – Levels 3 & 4

TDAN

In 2022, we saw that Data Strategy played key role in the success of top performing companies globally. is being “data driven”. This article is continuation of the proposed enterprise data management block […].

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Building a vision for real-time artificial intelligence

CIO Business Intelligence

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

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Statistics Changing Marketing Strategies

TDAN

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

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Data Architecture Movements in 2020

TDAN

Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered. We haven’t achieved enough with data research and other statistical modeling techniques to be able to see data for what it truly is and even our methods of accruing data are rudimentary […].