| Our Hands Are Tied "Garbage in, garbage out" is a fact. But how can IT be held accountable for data it does not create? If Not You, Who? Since the data are "in the database," it is only natural that the business holds IT accountable for their quality. | "I propose best-in-class data quality as a common goal to unite business and IT departments." - Thomas C. Redman, Guest Editor Opening Statement Thomas C. Redman What IT Can Do to Make Data Better Jeffrey McMillan To Clean or Not to Clean, That Is the Question Robert W. Pautke Managing Information Quality: Everyone Has a Role to Play Martin J. Eppler Constructing a Data Point Metric for Measuring Data Quality Capers Jones Business and IT Roles for Improving Data Resource Quality Michael H. Brackett Data Model Quality: Where Good Data Begin David C. Hay | |
Next IssueXP and Culture Change: Part IIGuest Editor: Kent Beck Next month, Kent Beck is back with a second issue on XP and culture change. If you have ever had to implement a new methodology in your organization, you know the kind of pain it causes. In our February issue, Kent emphatically asserts, "Bring on the pain!" You'll get to experience the trials and tribulations of implementing XP principles in organizations through five more sets of veteran eyes and gain even more practical insights into how XP can help build better software. Don't miss it! [ Back to Top ] | ||
Most IT professionals don't think too much about data quality. After all, data are the customer's responsibility. But poor data quality can sabotage even the most well-thought-out project -- not to mention make the international headlines. IT is in a bind: it doesn't create a lot of data, but it bears the brunt of the blame for projects that fail because the data are bad. Cutter Consortium Senior Consultant Tom Redman and several data quality experts try to get a handle on how IT can address the daunting task of improving data quality. What can IT professionals do to ensure that customer-provided data are of high quality, and how can they assess and manage the risks posed by poor data quality? As companies interconnect and share data with customers, who is responsible for data quality then? We'll debate these and other thorny questions in our quest to help senior IT managers navigate the data quality thicket. Don't miss the practical data-quality advice in this month's issue -- your next project may depend on it!
