Get it Right the First Time

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Quality | , , , , ,

By Elliot King

Every database will inevitably contain some unwanted data. There are just so many sources of bad data that it isn’t possible to safeguard against all of them. The inexorable decay of data due to life itself–people move, marry, change jobs and so on. This means that data quickly becomes inaccurate, incomplete and frequently, useless.

But that doesn’t mean that organizations are helpless to maintain high data quality.… Read More

If You Want to Fix It, Put a Number on It

Blog Administrator | Data Quality | , , ,

By Elliot King

Garbage in, garbage out. Garbage in, garbage out. Garbage in, garbage out.

In the history of computing, no single mantra has been bandied about so much and with so little effect. It is intuitively obvious that if you are working with poor quality data, the results generated by using that data will suffer accordingly. And many people have an intuitive sense of the quality of their data.

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Clean Data is Good Data

Blog Administrator | Analyzing Data Quality, Data Cleansing, Data Enrichment, Data Integration, Data Management, Data Quality | , , , , ,

By Elliot King

The cliché is as old as computing itself–garbage in, garbage out. And that cliché is as true now as ever, if not more so. Unfortunately, with information flowing into companies from so many sources including the Web and third-party providers, mistakes should not just be expected; they are basically inevitable. Garbage data is going to get in your data systems.
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