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Demonstrating the Value of Data Governance

As organizations strive to become more data-driven, they increasingly recognize the importance of Data Governance (DG), a business program supporting harmonized data activities. However, business leaders, colleagues, and workers often express confusion about DG policies and need clarity around its value. This article tackles this issue by exploring the top 10 ways for effectively articulating the value […]

The Rise of Generative AI in Insurance

The global market for artificial intelligence (AI) in insurance is predicted to reach nearly $80 billion by 2032, according to Precedence Research. This growth is being driven by the increased adoption of AI within insurance companies, enhancing their operational efficiency, risk management, and customer engagement. Despite widespread integration of AI in the industry today, its full […]

Women in Data: Meet Classification Guru Susan Walsh

To celebrate International Women’s Day, we’re kicking off a new Q&A series with women leaders in data. Our first installment features Susan Walsh, aka the Classification Guru.  Susan Walsh didn’t always aspire to be a data classification expert. But after spending a decade honing her skills – cleaning and classifying erroneous data – she founded […]

The Impact of Data Silos (and How to Prevent Them)

Data silos often develop unintentionally within businesses, catching leaders by surprise. They hinder cross-departmental collaboration while giving rise to inconsistent data quality, communication gaps, reduced visibility, and increased expenses. The gravity of impact can be gauged from a report by Forrester research, which finds that knowledge workers spend an average of 12 hours a week “chasing data.” […]

Ataccama Accelerates Data Quality Development for Enterprises with Latest Version of Platform

According to a new press release, Ataccama has introduced Ataccama ONE v15, the latest version of its AI-powered data management platform, designed to help enterprises establish a high-quality data environment. The platform addresses the challenges of data chaos, enabling users to extract reliable insights for various business initiatives. The new version emphasizes the importance of […]

Common Master Data Management (MDM) Pitfalls

Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]

Creating a Data Quality Framework

An organization can define its Data Quality goals and standards, and the steps needed to accomplish those goals, by creating a Data Quality framework. Creating it includes an assessment of the organization’s current Data Quality. A Data Quality framework can be described as an instruction manual for improving the quality of the data. With a […]

The Cool Kids Corner: CLEAR Communication 

Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as the data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about communication. Communication is the cornerstone of socializing anything you do with data, whether that’s […]

How to Become a Citizen Data Scientist

The job responsibilities of a citizen data scientist include dealing with new data, using automated tools to process big data, and creating additional models to gain additional insights. Their primary job is not to make predictions directly from big data, or develop prescriptive analytics, but to build models and use tools that accomplish those goals. […]