With the 4th of July celebration quickly approaching, I thought it would be a fun time to talk about democracy in the context of data, specifically data management and the newish cry for the “democratization” of data.
As I reflected on what it means to be a true democracy with its benefits and challenges, and the nature of our country as more of a federal republic versus a pure democracy, I wondered, “Are there some lessons learned from the political philosophy realm that we can apply to the concept of democratization of data?”
The answer is yes. In this article, you’ll learn what democratizing your data means, the value it can provide to your organization, and the benefits and pitfalls.
We’ll take some time to think about concepts like voting, egalitarianism, pluralism, trust, education, literacy, policies, freedom, and a central governing body that has a sort of “final say” when it comes to data decisions that affect the larger enterprise.
If nothing else, in the spirit of Independence Day, it’s probably your patriotic duty to read on.
Let’s start with some fundamental definitions for the layperson. Instead of using PolySci 400-level course definitions, I’ve chosen some common-sense explanations that are high-level enough that we can also apply them to data management.
Democracy: Giving the people direct access to have a voice in the creation, application, and overall direction of the larger entity to drive towards a shared (or even at times, disjointed) vision. In our case, let’s just say data (and thus power) to the people!
I’ve put all the other terms below, so please review those definitions before you read on. Don’t skip this part because it’s important.
Ok, having read the definitions, you’ve seen that I resisted the urge to paint each one in the context of data management, but let’s do some of that now.
Looking back, in the sixth century B.C., for Athenian democracy to work appropriately, it helped that there was a small number of citizens, and they were all educated.
In our modern American democracy, we operate in more of a federated republic with a much larger population with varying interests, education levels, and backgrounds such that pluralism (a political system with more than one center of power) is going to exist.
The same can be said of larger institutions when it comes to data management, particularly at the enterprise level. There will be various constituents based on department, function, level, interests, education, and analytics maturity.
If we are to think about “data to the people” in this context, we would definitely want to have some discussions around organizational change management to help ensure an educated population, a set of consistent policies to help guide the distributed creation and curation of data assets, and some sort of governance to help prevent complete chaos. I like to call this responsible data asset development.
Data Democratization: What and Why
So “data to the people,” or the “democratization of data” as it relates to data management, refers to the process of supplying all the right data to the “citizens” in your organization in the right form when they need it.
That’s easier said than done. How do you prevent chaos when data is pouring in at an exponential rate, the business is asking for new insights, IT can’t keep up, and unsanctioned assets are being developed at warp speed by people using next-generation business intelligence tools designed for the non-technical user?
The solution is to create a balance between governance and democratization of data.
Advantages to Democratizing Your Data
There are some clear benefits to the democratization of data. In theory:
So faster time to value, better awareness, and the establishment of a civil society to help with a shared dialogue can all improve an organization and their management of data. When these a occur, a true data marketplace can be developed to allow “citizens” to discover data assets, make social comments regarding the data assets quality, usefulness, meaningfulness (think Yelp for data), and even crowd source business data in a shared business glossary.
Issues with Democratizing Your Data
Democratization sounds like a great idea, but when is it not? Here are some pitfalls to consider:
There is clearly both an upside and downside to data democratization. The answer of whether it’s worth it to your organization should center around this idea that too much of anything is rarely good.
Striking the balance between full-out democratization and providing the right level of governance can hopefully put your organization in a position of moderation where many of the benefits of data democratization can be realized while avoiding or mitigating many of the risks.
You want your citizens to have freedom, but you also must ensure they are properly educated, have the access they need to that education so that policies can be appreciated and understood, and a community is fostered to build out the social fabric to continue to benefit the organization as a whole.
Moving beyond this July 4th weekend, reflect on the benefits and pitfalls of democratized data management, and start looking for opportunities to move your organization in the right direction. As you make the shift, Onebridge can help with the organizational change management, technology enablement, and process considerations to help you on your data democratization journey.
Have more questions about data democratization? Contact us