The business world has been transformed by data. With more information available than ever before, the ability to generate, understand, and make connections with data is now an essential skill for everyone regardless of industry, function, or job level.
I'm not a data person is no longer a viable option. This is because we are all increasingly asked to quantify the complex world around us to make more evidence-based decisions.
We often hear that data is all around us. But how do actions or behaviors turn into data points for which we can analyze? Data is generated by asking questions about objects of interest, such as:
|How often?||What kind|
|How long?||Did an event occur?|
How many monitors do you have?Think about your work week, you can probably come up with a list of questions that would generate fresh data.
All of these revolve around you. Answering them yields a specific set of results. Image what happens when we turn a data lens on the wider world to people, countries, or business operations. Asking questions about these groups creates an endless list of potential data points to track and analyze.
And this might feel overwhelming.
Several years ago, it was estimated that 2.5 quintillion bytes of data were created every day. A quintillion is a million raised to the power of five. 2.5 quintillion bytes equals 2.5 megabytes, which equals 2.5 million terabytes or 200 billion gigabytes.
A byte encodes a single character of text on a computer - in a single day, ten trillion copies of Shakespeare’s Romeo and Juliet are created. This is the same as ten million blue ray discs. If stacked, it would reach four Eiffel towers high.
Although these figures would be even larger if representing information generated in the year 2021, the actual amount is inconsequential. The point is that more raw data is being created, stored, and analyzed than ever before. This is due to increasingly connected technology, a growing number of devices and services operating in digital ecosystems, and the ability of cloud computing to make it easier for organizations to capture data and run large-scale statistical models.
So whether it is
Tesla working on autonomous vehicles in the auto industry,
FedEx using data from real-time traffic conditions and fuel prices to find optimal distribution paths, data is shaping how organization tackle problems and attempt to build solutions.
One of the main strategic roles of today’s data-centric managers and product leaders is to ask:
Although the promise of data is there, getting from data to a given measure of success isn’t always so clear. Many organizational leaders fail to comprehend the black box often sitting between these two points.
In this black box there are buzzwords like big data, predictive analytics, machine learning and artificial intelligence. It is not that these techniques can’t result in game-changing business outcomes, just that there are many factors blocking organizations from reaching their lofty data-driven aspirations.
Five Organizational Blockers in Becoming Data-Driven
This final blocker is an education problem and we believe that it can be solved by encouraging those at all skill levels to become just a little more data fluent.
Beyond achieving organizational objectives, data skills also empower you, the individual, to gain confidence and stand apart from your peers.
A data-driven approach can help you develop into an expert in an authentic way - especially if you are early in your career and lack industry insight.
Bringing data to the table in the form of real insight will increase your influence, help you build compelling presentations and reports and, most importantly, enable you to see commercial opportunities and challenges in ways that non-data people won’t.
Being someone who can speak data will also get you involved in more high-impact projects, hopefully increasing your engagement and satisfaction with work along the way.
There are plenty of data roles to play in a modern organization.
In reality, there is fluidity across these functions in terms of desired skills, job responsibilities, and team placement.
Regardless of which role or roles you may play, having a general understanding of all the functions will help you contribute more effectively to whatever data ecosystem currently exists in your company.
For those just starting out or looking to solidify the basics, we’ve created a Data Fundamentals online text to help individuals and teams. It was written alongside the #66DaysOfData challenge.
Ready for more advanced topics? Search our site to discover a high-quality training program that ties back to specific job responsibilities.