Author name: Roman Stepanenko

Data turns into a liability when it’s collected and kept as an afterthought – without direction and care. To benefit from data, organizations need to maintain it and ensure its quality. Data quality dimensions are the structured way of looking at different properties of data assets. Understanding them enables business to systemically approach increasing data […]

Data management cannot happen without people, practices, and proper tools. Ever-growing data sets require careful monitoring, maintenance, and assessment. You can’t leave everything solely to software and automation – or you open your organization to deterioration of your data assets and potential risks. Specialists are an important safeguard to what happens with your data. Data

Let’s take a quick look at how organizations attempt to use Excel for comparing and matching data, then discuss some of the problems this creates.