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Fundamentals of Data Preparation

Data is often called the raw material of the information age, and it does share characteristics with the resources that power other industries. For example, imagine trying to make a car out of unrefined iron ore. A lot of processing happens between the mine and the factory. Data is no different. In its “raw” form, […]

AI Governance in Action: Practical Insights from a Data-Driven Enterprise

As AI adoption skyrockets, how can organizations harness its power responsibly? AI promises enhanced decision-making and customer interactions, but it comes with ethical, compliance, and infrastructure risks. Consequently, AI governance is crucial to address these risks.  In response, many businesses turn to their established data governance (DG), aiming to leverage existing controls and procedures. However, AI introduces […]

Choosing a Data Quality Tool: What, Why, How

Data-driven organizations are in a race to collect the information that modern analytics techniques rely on to generate insights and guide business decisions. The ever-growing flow of data into business systems challenges companies to devise new techniques for ensuring the quality of the data as its quantity skyrockets. Data quality tool vendors are rising to […]

A Brief History of Data Ethics

In this digital age, where data is an increasingly integral asset for every organization, the ethical implications surrounding data collection, storage, and usage have become prominent. The evolution and history of data ethics is a complex journey that connects technological advancements with societal values and legal frameworks. Understanding this evolution requires examining key historical milestones and the […]

Improving Data Quality with Data Stewardship

To get value from data, data stewards must understand and apply business requirements. When business ambiguity arises about how to best serve data stakeholders, data stewards need to know how to find out this information and with whom to speak. By doing so, stewards can align fit-for-purpose data with business needs and improve data quality. Data stewards understand […]