Tag: data quality improvement | Global Intelligence Blog

Devising the Strategy, Making the Plan

Blog Administrator | Address Correction, Address Quality, Address Verification, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Management, Data Quality | data quality improvement, data quality measures, data quality requirements, data usability, Melissa Data

By David Loshin

The three steps that I suggested in my last post about where to begin with data quality are truly meant to help determine where to begin, but also to guide the development of a longer term strategy and plan.

Assembling a Data Quality Management Framework

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Management, Data Quality | data freedom, data quality improvement, data quality management, data quality program, Melissa Data

By David Loshin

There are two dominating questions that I am asked over and over again when people are in process to create a program for data quality management.

The first is “how can you develop a business justification for a data quality program?”… Read More

Data Quality Problems are Predictable

Blog Administrator | Analyzing Data Quality, Data Management, Data Quality | address bad data, data quality improvement, data scientists, faulty data, Melissa Data, poor data quality, software vendors

By Elliot King

The idea that poor data quality is costly and hurts performance is about as old as science itself. The seminal science writer Stephen Jay Gould wrote a whole book about how faulty data leads to faulty conclusions, often to the great detriment of society.

Assessment is the Critical First Step

Blog Administrator | Analyzing Data Quality, Data Quality, Data Quality Assessment | data anomalies, data flaws, data issues, data quality business rules, data quality improvement, invalid inaccurate data

By Elliot King

Edward Deming taught us long ago about the virtuous cycle of continual quality improvement–plan for change; execute the change; study the results and then take action to improve the process. But Deming’s PDSA (plan, do, study, act) cycle is a generic approach.