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Why Is Data Quality Still So Hard to Achieve?

Dataversity

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. appeared first on DATAVERSITY.

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How Data Privacy Laws Impact Companies’ Approach to Cloud Security

Dataversity

Globally, organizations are churning out data in massive volumes for a plethora of reasons. Data enables organizations to speed up innovation, take business-critical decisions confidently, get deep consumer insights, and use all that information to stay ahead of their competitors. However, where does all that data go?

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How to meet the challenges unique to enterprise scale

Domo

The 4 major data challenges organizations face. Over the years, Domo has found that most organizations face up to four major data challenges: Innovating without disrupting processes. Innovation is key to improving processes and increasing efficiency. Maintaining high-quality, error-free data.

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Data Vault 2.0: What You Need to Know

Astera

In 2013, Dan Linstedt and Michael Olschimke introduced Data Vault 2.0 as a response to the evolving data management landscape, taking Data Vault 1.0 While maintaining the hub-and-spoke structure of its predecessor, The upgrade introduces new, innovative concepts to enhance its efficiency and adaptability. Data Vault 2.0

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What is a Data Clean Room?

The Data Administration Newsletter

As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130
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Data Value Chain: Enterprise Data Management (EDM) Framework (Lego Version)

The Data Administration Newsletter

Data driven organizations are innovating faster than ever.