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Data Classification Can Make or Break Data Governance

Dataversity

The cost of data loss is staggering – and avoidable. The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data.

Loss 52
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8 pressing needs for CIOs in 2024

CIO

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” In 2024, my team and I will explore automation solutions that can streamline critical, time-consuming tasks, and contribute to a more efficient digital infrastructure.”

Security 874
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Metadata and AI: merge data from multiple sources efficiently

IBI

Data integration is incredibly complicated. The sheer volume of data is staggering, but the core challenge of data integration is to effectively and accurately match similar data coming from disparate sources or labeled slightly differently. Metadata is data that describes data. What is metadata?

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A Guide to Stratified Sampling (Stratification)

Netbasequid

To ensure that this small group, known as a sample, really does represent the entire population, the researcher can use any of a number of sampling techniques. There are many applications of stratification in government, academia, healthcare, and commerce. What you find from this can be used to judge the entire population.

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Do I Need Both BI Tools and Augmented Analytics?

Elegant BI

According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed. Business Intelligence. Dashboards.

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What is Data as a Service (DaaS)?

Zoominfo

As the velocity, volume, and variety of data increases, many businesses struggle with unreliable data that doesn’t offer valuable insights, leading to significant losses. In fact, a Gartner survey found that companies attribute an average of $15 million in losses each year to bad data. What is Data as a Service (DaaS)?

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4 Ways People Analytics Teams Leverage Alternative Data for Talent Acquisition and Retention

Thinknum

Watch the webinar recording here SPEAKERS Noble Madu, Vin Vashishta Vin Vashishta   00:02 I've been in data science for over 10 years. But one of my main areas of focus has been really on making data a strategic asset. I'm the director of expansion at Thinknum Alternative Data. 25 years total in technology.