Data Profiling: The First Step in Climbing the Data Quality Ladder
Data are an organization’s most valuable asset. However, too much data are inaccurate, incomplete, irrelevant, obsolete, not well defined, or otherwise not fit for use.
Data are an organization’s most valuable asset. However, too much data are inaccurate, incomplete, irrelevant, obsolete, not well defined, or otherwise not fit for use.
Obsessive-compulsive disorder (OCD) is an anxiety condition characterized by intrusive thoughts that produce uneasiness, apprehension, fear, or worry (collectively termed obsessions), along with repetitive behaviors (or compulsions) aimed at reducin
(CIMdata: Ann Arbor, MI) -- CIMdata Inc., the leading global PLM strategic management consulting and research firm, announced the expansion of its Simulation-driven Systems Development (SDSD) practice team with the addition of Sandeepak Natu as an executive consultant.
(Mettler-Toledo: Columbus, OH) -- As a leading contract manufacturer of dietary supplements, Wellington Foods is focused on producing products that help people live healthy lives.
Do you lead your team to learn primarily from successes, or from failures? Many leaders argue that their teams are just too busy to spend time discussing why a successful project went well. They just wrap up fast, then dive into the next project.
With 2022 firmly in the rearview mirror and the new year now underway, it’s clear many of the opportunities and challenges affecting equipment manufacturers today will remain as relevant as ever in the weeks and months ahead.
(Siemens: Plano, TX) -- Digital Industries Software announced the opening of eXplore Live at The Smart Factory@Wichita, an experience center convened by Deloitte that marries an ecosystem of world-leading organizations with business strategy and cutting-edge t
(NordLocker: Panama City) -- With the human element being the reason behind a whopping 82 percent of data breaches, employees are the weakest link when it comes to organizational cybersecurity.
"Skew-whiff" Credit: Bahi
The shape parameters for a probability model are called skewness and kurtosis. While skewness at least sounds like something we might understand, kurtosis simply sounds like jargon.
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