Data Cleansing: How to Get Rid of Bad Data

Bad data costs time and money. The majority of companies know that bad data is an issue, yet have no solid plan in place for eliminating bad data and its effects. In fact, one study concluded that 85 percent of companies know that they are using data that is incorrect or out of date, and as […]

5 Pillars of Effective Data Management

Enterprises today are relying more than ever on having good data with which to work. Critical business decisions, from an organization’s strategic direction to the details of its everyday operations, depend on having information that is accurate, complete, and timely. Achieving that level of data excellence doesn’t happen automatically. It is the result of active […]

Cleanse, Match, and Standardize Cloud Data for Better Business Insights

IT environments have grown vastly more complex in the past few decades, as enterprises have added a multitude of new data sources, all of which may necessitate data cleansing, matching, and standardization. Mainframes now sit alongside distributed systems that incorporate ERP, CRM, specialized logistics software, custom applications, and more. Mobile technologies, clickstream analysis, social media, […]

How to Clean Big Data for Trusted Insights

You’ve probably witnessed it, and maybe are doing it. Many organizations are just dumping as much data into a data lake as they can, trying to get to every data source in an enterprise and putting all the data into the data lake. We see it here at Precisely, with the vast amount of data […]