With data becoming more and more complicated, the task of managing your data can seem like a minefield. Managing data is not an easy job and with many traps designed to trip you up, the consequences of poor data management can be very large.
When the data is wrong, the information is wrong and bad decisions are made. There is an overall lack of trust, and decisions are made on instinct rather than fact. This can lead to large efficiency losses, reduction in profits, and dangerously large fines due to potential data breaches.
We’ve come a long way in over 3,000 years since Moses was reported to have received the 10 commandments. However, following in similar fashion, in order to simplify the data management landscape, Martin Doyle, CEO and Founder of DQ Global, on behalf of Workbooks gives 10 data commandments to follow in order to improve data management within organisations.
Ten common sense commandments:
- Discard conventional fixed ideas. You don’t have to be sick to get better.
- Think of how to do it better; not why it cannot be done.
- Start by questioning the current practices, methods, and resources used. Do not make or accept excuses for poor data quality.
- Others will follow you if you continually seek improvement. Data quality is about fitness for use. Leave the search for “perfection” to others.
- Do it right away even if it will only achieve 50 per cent of target. Ten improvements of one per cent will often be better than one change of 10 per cent.
- If you make a mistake, correct it straight away.
- Throw wisdom at a problem, not money.
- Seek the wisdom inherent in your people rather than the knowledge of one.
- Ask “WHY?” five times and seek root causes.
- Don’t ask workers to leave their brains at the workplace entrance.
With these principles applied, the quest for high data and information quality becomes a shared commitment, everyone becomes involved. With this approach, from the point data is first recorded to the point it is reported upon, data will be nurtured, everyone will understand the downstream impacts and avoid the unnecessary waste accrued through the use of defective data.
By following these 10 data commandments, your data will be elevated from the downtrodden to the divine through measurable and actionable steps.