Clive Humby made this claim all the way back in 2006. Like oil, everybody wants data and is willing to pay whatever it costs to get it. In response to massive data-based success stories like Amazon, Google, and Facebook, many organizations are tempted by the lures of data, such as:
Data collection often ends with a slick presentation of dashboards, graphs, and tables, with loads of information and tons of answers. This is not how to collect data for business. Here’s why: In The Hitchhikers Guide to Galaxy, an alien race develops a supercomputer Deep-Thought in order to answer the ambiguous questions regarding “life, the universe, and everything.” The answer it comes back with? Forty-two. When pressed for an explanation, Deep-Thought continues:
I think that the problem is that you have never really known what the question is…You have to know what the question actually is, in order to know what the answer means.
So many organizations are frantically collecting as much data as they can without any coherent understanding of the purpose behind it. When you don’t know how to collect data for business properly, the very thing you expected to save you will open expensive and time-consuming rabbit holes that might actually endanger the future of your company.
Any statistician worth their salt will describe how information can be manipulated to tell the desired story. Moreover, poor collection of information will lead to unreliable outcomes. When you’re considering how to collect data for your business, make sure you keep the following pitfalls in mind.
If the pool of information is too small to accurately represent the demographics you’re researching, it will not be a reliable basis for your decision-making.
Not allowing enough time to capture your data might make acute environmental factors look more catastrophic than they are. For example, compare those who check the stock market every few hours or minutes to those who review their portfolios every month or so. The report you get from each person will likely be widely different. Moreover, temporary fluctuations do not tell an accurate story of the overall performance.
When the question you are trying to answer is poorly defined, you are likely to collect data that isn’t all that useful to you (such as “42”).
There are countless different mechanisms for how to collect and analyze data for business. If the wrong method is chosen, it could distort the results.
There is a saying in the data industry: “garbage in, garbage out.” If the information is obtained from dubious sources, then the validity of the findings cannot be trusted from the start.
Now that you know some of the mistakes you may encounter with how you collect data for your business, let’s take if from the top–the right way.
Your strategy should underpin everything that you do in your business. The link between operational efforts and strategic direction should be strong, coherent, and measurable. As a minimum, our organizational strategies should include:
These strategies must be the basis of all our decision-making. Data, on the other hand, can help reinforce those decisions by:
In order to achieve all this, how you collect data for your business must behave like a scalpel and not a shotgun.
Before determining how to collect data for your business, you must know why you are doing it in the first place. You need to ask the right questions. But what do the right questions look like? At a minimum, they must:
To get started, ask yourself:
The list of human shortfalls that affect how you collect data for business is too lengthy to mention. But here are two very important factors that are often overlooked.
Bias comes in all different forms, including everything from confirmation bias (seeking out information that is guaranteed to align with our existing beliefs) to selection bias (acknowledging pleasing information while ignoring unpleasant information), and everything in between. When collecting and reviewing data, our own personal biases will undermine our objectivity if not cross-referenced against other sources. Examples of this occurring include:
Everyone experiences the world differently. Moreover, the way we feel at a certain time in our life can have significant implications on the way that we collect information, engage with participants, and interpret information. Unlike bias, which can be eliminated with a bit of conscious thought, subjectivity is inherent to the human condition. We can only truly experience the world as ourselves, not as another person or as a completely detached and objective entity. While there is no way to eliminate subjectivity entirely, you can remove a large amount of it from your data collection with the following:
If you do not have these things as a minimum, then all that time you spent figuring out how to collect data for business collection will amount to nothing more than a flashy and expensive waste of time.
Is data the new oil? For companies that know how to collect data for business, it might be. For everyone else, it is simply a fad–shiny and cool, but ultimately meaningless. If you are looking for data that prove to yourself that you are doing great work, then you are likely using it for the wrong reasons. If you are collecting data without knowing why, then now is the time to reassess your strategies and biases and align your collection methods accordingly. Of course, even the best data collection strategy can’t take the place of strong, smart, and determined leaders. The Eighth Mile offers online leadership courses that provide one-on-one coaching, self-paced learning modules, and regular interactive virtual workshops for all learning styles. Visit the Course Details page to find out how you can take yourself and your team to the next level–with no data analysis required."
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