For most companies, quality data is key to measuring success and planning for business goals. But achieving data accuracy and integrity can be a daunting task given the messy nature of data in the wild. How can you trust that source data is accurate? What data should be excluded as invalid? What steps can you take to ensure that all the data is transformed correctly? How do you know if your conclusions are accurate?
This report presents a case study from a large and critical data project at Spiceworks, the vibrant network, online community, and marketplace for IT professionals. Author Jessica Roper, a senior developer in Spiceworks’ data analytics division, demonstrates ways to think about data verification, processing, analysis, and automation. You’ll also get a guide to tools for determining whether the data you collect and use is reliable and accurate.