Tom’s early work helped build the solid foundations on which properly managing data quality rests. He also focused on HOW to do the work. More recently he has focused on the WHY and the WHO. The costs are high and Artificial Intelligence is dangerous without high quality data.
Click the images below for our must reads and if you don’t see something you are looking for…just ask, we have written hundreds of articles!
To dig deeper check out Tom Redman’s books below
“The Rise of Connector Roles in Data Science,” MIT Sloan Management Review
“What Does it Take to Actually Build a Data Driven Culture?,” Harvard Business Review
“If Your Data is Bad, Your Machine Learning Tools are Useless,” Harvard Business Review
“What’s Holding Your Data Program Back?” MIT Sloan Management Review
“Your Data Strategy Needs to Include Everyone,” Harvard Business Review
“Your Data Initiatives Can’t Just Be for Data Scientists,” Harvard Business Review
“Bad Data is Sapping Your Team’s Productivity, Harvard Business Review
“Only 3% of Companies’ Data Meets Basic Quality Standards,” Harvard Business Review
“To Improve Data Quality Start at the Source,” Harvard Business Review
“Data’s Credibility Problem,” Harvard Business Review
“Bad Data Costs the US $3 Trillion Per Year,”Harvard Business Review
