My Data Management Principles

If you lay a strong foundation for data management that is based on good, reliable rules, which are managed and governed, you will do well in providing good information to assist decision making. Makes sense, right?

Business must lead

What is the goal of the project, why are you running this project, what will you achieve, what are you trying to solve?  Most if not all of these will be business challenges: effected by accuracy of data, inaccurate reports, incomplete customer information, poor marketing and logistics information.  The owners and stakeholders of these processes and procedures are the business people who must lead the projects.  They have a vested interest (hopefully) helping success be achieved.


Each process, data item and dataset (Dataset definition: a collection of related data. Most commonly a data set corresponds to the contents of a single database table, which may be accessed individually or in combination or managed as a whole entity) within the organisation needs to be owned, defined and governed.

  • Process Owners – enables effective management of adherence to the process.
  • Data Stewards – day to day accountability for care and maintenance of the data.
  • Data Owners – owner of data, bears ultimate responsibility for the security, quality and lifecycle management of the data.

More detailed explanations can be found in my earlier blog “Data Governance Roles”

Think big – start small

“Don’t boil the Ocean” – a familiar phase in the industry.  If you want a cup of tea, would you try to boil all the water in the ocean? J

Know what you want to achieve as a business, it could be better satisfied customers / reduced logistics costs / better predictive analytics to assist accurate and faster decision making.  Whatever it maybe you cannot change everything all at once, for one the business needs to continue running effectively while any change takes place.

Start small – demonstrate a quick win to gain support and buy-in. Plan which domain/area will be next.  This is a journey, not a big bang!

 Understand how your data management, data quality and data governance programmes combined in the enterprise. Is your data quality programme part of your customer engagement initiative or could it be?

Meta Data

Increasingly important & available we are creating metadata each time we transact on our mobiles.  GPS / Time and Date stamp etc., on a photograph.

Why is your metadata important? Good, accurate, well thought though metadata has value for creating associations and relationships between items and users across one or more sources of data or related applications, such an ERP (Enterprise resource planning) or CRM (Customer relationship management) system, as well as its benefits for instilling consistency in the way information is generated, used, its value, limitations, how it is stored and shared.

The first four of my data management principles, more next month.

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