Ralph Nordstrom was facing the biggest challenge of his career. Earlier this year, the new data manager for one of the nation's largest real estate companies, Parsippany, N.J.-based National Realty ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

Cleaning data is no different from many types of maintenance - just as disorganization creates disruptions in life, working with unclean data can be a recipe for disaster for an enterprise. Wasting ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Have you ever wondered how much time you could save if the most tedious parts of data analysis were handled for you? Imagine a world where cleaning messy datasets, visualizing trends, or even ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...

Ralph Nordstrom was facing the biggest challenge of his career. Earlier this year, the new data manager for one of the nation's largest real estate companies, Parsippany, N.J.-based National Realty ...

With inflation hovering at around ten per cent, triggered largely by the growth in energy prices due to the conflict in Ukraine, costs for many financial institutions are spiralling at a rapid rate.

As businesses and broader society continue to desire and even demand more and more advanced automation in business processes and everyday life, the race to build new data center capacity is heating up ...

The collection and organization of data, especially for big organizations, has always been a daunting task that can overwhelm even the fastest of data entry clerks. No big organization wishes to rely ...