2024 DATAVERSITY Top 20

As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again…

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Data Insights Assure Quality Data and Confident Decisions

Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts to strategize and to create operational goals. Decisions were based on opinion, guesswork, and a complicated mixture of notes and records reflecting historical results that may or may not be relevant to the future.  Today,…

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Anomalo Expands Data Quality Platform for Enhanced Unstructured Data Monitoring

The success of enterprise AI is closely tied to the quality and accuracy of the data it uses to train its models. This has been underscored by numerous reports that underscore the critical role of data quality. Historically, enterprises worked primarily with structured data, which is clean, well-organized, and easily analyzed. This includes data such…

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Data Product vs. Data as a Product (DaaP): Understanding the Difference

Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022.  To address these data quality challenges, companies increasingly…

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4 Ways Embedded BI Improves Data Governance

We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom. A proper data…

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Data Crime: Just Move the Data You’ve Got

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of data management to someone.  The Story  One financial institution…

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Beyond the Basics: Advanced Tips for Effective Data Extraction

Data extraction is a cornerstone in data analytics, enabling organizations to extract valuable insights from raw data. While basic extraction techniques are fundamental, understanding advanced strategies is crucial for maximizing efficiency and accuracy. This article will explore advanced tips for effective data extraction, shedding light on automation tools, leveraging APIs and web scraping techniques, enhancing…

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A Brief History of Data Quality

The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage….

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Granularity Is the True Data Advantage

Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated. Often, executives will become overzealous in their digital transformations and cut blank checks for data collection,…

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Data Discovery 101

Data discovery deals with extracting useful information from data and presenting it in a visual format that is easily understood. The types of useful information discovered during the process range from finding patterns in human behavior to gaining insights about data glitches to answering highly specific business questions. Using data taken from a variety of…

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