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Data Audit in the Age of Machine Learning: Goals and Challenges

Dataversity

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

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Data-Driven Approaches to Better Optimized Enterprise Workflows

Smart Data Collective

Big data has been a very important part of modern human resource solutions. One of the biggest implications of big data in human resources has pertained to enterprise workflow management. Data analytics technology can help bolster efficiency in all of these regards. Using Data Analytics to Improve Workflow Management.

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What Is Data Management and Why Is It Important?

Astera

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

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The Role of Data in Personalized Banking

Astera

Bridging this gap requires leveraging the role of data. Personalized banking experiences rely on utilizing customer information and insights derived from data. Banks collect vast amounts of customer data, ranging from transaction history to online browsing behavior. What is Personalized Banking?

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How to build a reliable document management system?

CMW Lab Blog

In today’s digital age, the need for efficient document management is paramount. Understanding the Basics of Document Management Systems In the current digital world, where data is easily shared and papers are produced at a never-before-seen pace, effective document management is critical for companies and groups of all kinds.

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The Case for More Embedded Analytics in Patient Care

Sisense

The steady growth of medical data is outpacing many health providers’ ability to make use of it. Data mining and analytics tools previously used for commercial data are being applied to medical data in various forms. Learn the steps. >>> Infusing analytics into apps and workflows seems daunting.