Collecting Data For Business Analysis
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Table of Contents: Collecting Data For MSP Business Analysis · We Were Collecting Data Incorrectly · Four Steps · FAQ
Collecting Data For MSP Business Analysis
At my managed I.T. company for years we had a driving principle towards collecting data. We were installing software products across our client base to ensure we could collect every piece of data that we potentially could. We were archiving the data with the goal of creating trending data. We had built out key performance indicators (KPIs) across multiple areas of the business and had started vomiting this data in front of our clients in the form of reports and gauges.
We Were Collecting Data Incorrectly
What we were doing was a classic example of Sun Tzu's famous advice for battlefield commanders – "Tactics without strategy is the noise before defeat." Now we didn't fail at the organization, but we certainly lost ground and made plenty of avoidable mistakes. Clients churned, staff moved on to different opportunities, we even had to do a round of layoffs at the peak of a market where it was impossible to hire new staff.
Collecting data is important, but only when you're using it. We knew that collecting data was important. We knew that data could help us, and help our clients make more informed decisions that led to better outcomes.
However, we didn't stop and consider an overarching strategy on what the goals, strategies, ideas, tactics, and risks associated with the data were. We didn't create a process around the data itself, from how it was collected, to how it was analyzed, presented, and feedback collected.
Looking in the rearview mirror, we had many key takeaways and lessons learned from the experience. We've collected those into the process below.
Four Steps
Here are four steps for collecting data for business analysis:
- The CEO/Managing Partner/Executive Director/Organization's top leader needs to have a clear definition of vision for the company that is documented. That documentation needs to accessible, clear, and relatable to the entire organization (as appropriate).
- The Leadership team at the organization needs to have the key pieces of data for their responsible areas documented and understand how that data gets collected and/or generated.
- The chief executive and leadership team need to come together into a space where all can talk as equals around the data and gain perspective on how that data extends outside of verticals in the business.
- That perspective should be captured and digested internally in the organization, and then pulled together into a map, diagram, or other aid to show how data interacts with the business teams, clients, vendors/suppliers, competitors, and other areas.
With those 4 actions handled alongside other best practices being implemented, we were able to turn the mass of data that we had collected into a focused tool we could use to cut away extraneous noise, bring exceptions to process to light, and make visible business "landmines" before they blew up in our faces. Client satisfaction increased, vendor participation and engagement improved, and the team executed better and reported a material change for the better in their stress level and work/life balance. Those business goals I had referred to earlier also happened to start being routinely achieved.
If you're struggling making sense of the chaos in your world or wondering how to use some of the data you're collecting, Fox & Crow Group can help. Talk to a founder, not a sales rep — schedule a meeting with Carrie Richardson or Ian Richardson here: short.foxcrowgroup.com/meet.
Interested in more articles about collecting and analyzing business data? Check out "Are You Using Your Data, Or Just Collecting It?" — Robert Glazer, Harvard Business Review, 2020.
FAQ
Why does collecting data alone not improve a business? Data without a strategy behind it is "tactics without strategy" — the noise before defeat. It needs a documented process for how it's collected, analyzed, presented, and acted on.
What are the four steps for collecting data for business analysis? Document a clear company vision, have leadership document the data they own, bring leadership together to see how data connects across the business, and map how that data interacts with teams, clients, vendors, and competitors.
