- … improving central coordinated management of the data that feed performance indicators
- … improving decision making through consistent data definition, integration and delivery protecting
- engaging and servicing your customers (and their data) for life
- … improving operational efficiency and effectives through improved information flow making certain agile system development efforts deliver high-quality data
Do you believe these things are being achieved through your present channels – mostly consisting of data warehouses or localized management of the data resources? Have you asked people how that is working for them? The best thing you can do is make somebody responsible for asking these questions and addressing deficiencies. Without that, nothing gets done.
Has your company asked people in business operations and decision making positions how they feel about the data they define, produce and use as part of daily operations? From years of working with large and small companies around the world, my experience is that business operations staff spends a lot of time and exhausts a great quantity of resources to get data they consider tolerable to complete their job while attempting to excel at their function. Sometimes these people will tell you that the data is not adequate and it is getting worse.
“Formal Data Governance programs are put in place to improve the value an organization gets from their data and information.”
The term “governance” can be scary to companies that value autonomy and independence in the way they manage their businesses. Governance sounds exhausting and difficult and cumbersome – all about command and control of our … data – of all things. The truth is that it does NOT have to be that way. And governed data can be the life-line to success in many ways.
Industries in mass are adopting the buzzwords of the 20-teens which all focus on data. You have heard the terms “big data”, the cloud, analytics, metadata, B2B, B2C … and the latest buzz about the “Internet of Things” – otherwise known as M2M (machine to machine). All of these technologies are exploding. All of these require confidence that you have accurate, timely, understood, purposeful and protected data.
The McKinsey Global Institute (McKinsey.com) estimated that retailers exploiting data analytics at scale across their organizations could increase their operating margins by more than 60 percent and that the US healthcare sector could reduce costs by 8 percent through data-analytics efficiency and quality improvements. These projected statistics only scratch the surface when it comes to how companies are (and will be) squeezing every last drop of value from their data.
The question becomes – “What are you doing with your data?” Are you getting all the value you can from what you know about your customer, citizen, supplier, student, provider … relationships? This list of important data goes on and on. You are probably doing okay with how you manage all of this data, at least you hope. The fact is that the data does not govern itself.
“Data Governance programs are put in place to formalize accountability for the management of data through stewardship of data resources.”
Data Governance will not solve all of your data problems. To follow the data buzz requires dollars and often many of them. The latest technologies including ways of acquiring and collecting data, ways of storing that data, ways of analyzing and gaining insight from that data, and ways of using that data to make better decisions – all come with a substantial financial commitment. Notice that the previous sentence spoke only of the pipelines for the data and nothing about what flows through the pipelines.
If your company is considering taking advantage of the best that technology has to offer you should also be thinking about the data that will make the delivery of these technologies meaningful and productive. The management of data as an asset starts with the governance of that data.
Data people live for this stuff. Not necessarily the technology but the management of the data. While the subject may be boring to many, there are also just as many people that spend their time thinking about (or losing sleep over) how nice it would be if their data was better. Data Governance is necessary to make your data better.