How to Clean Data: 4 Ways to Simplify Your Business Data


Data is dirty.

It comes in all shapes, sizes, and formats.

It can be easy to look at the fire hose of information coming into and leaving your company without any way to capture it, but it doesn’t have to be that way.

We’ll take a look in this post at how to clean data.


There is no shortage of actions that generates data. In fact, data will probably materialize without you having to do very much, if anything, at all.

That’s why it’s important to get ahead and make a plan for your business data so that it doesn’t get away from you. If it’s already a tangled mess, creating a plan will help you tease out its complicated pathways and layers.  

Maybe you decide, as an organization, that collecting sales data is the only thing that matters right now. In that case, develop a plan for how and why you’re collecting that data so that it can help you test your hypotheses. For example, maybe you want to test how many touches—calls, emails, in-person meetings—it takes for you to connect with, scheduled a meeting with, and put an opportunity in front of a contact.

Once you’ve wrangled your sales data, you might decide to move on to marketing data, or supply chain data, or any other area in which you feel you are lacking.

As part of your plan, you should define ownership to engender accountability and a timeframe:

  • Who is going to lead the creation of your plan? This person should be held accountable for success or failure.
  • What are the individual milestones for the plan? Will a draft be due before implementation? Will there be regular check-ins along the way? When will it be finished?
  • What kind of time commitments will this require?

Planning is a key part of any successful strategy.

If we may offer a tip: Spend time planning, but also spend time doing. Don’t get so caught up in the planning that your effort never gets off the ground.



Part of the plan should consider an investment in business analytics software. Such software helps data analysts aggregate, automate, and analyze data.

We’ve written a post about adjusting to the learning curve of business analytics software, and we think you would find it beneficial in your planning.



Integers, booleans, characters, floating-point numbers, strings—these are all types of data. The way they are captured and stored can get messy when you extrapolate it over an organization with dozens of employees, much more tens of thousands.

When you plan your data simplification process, think about whether a digital duplicate would be a smart strategy for you. Digital duplicates import data from your organization’s many sources and bring all of these data types together under one roof, so to speak.

Digital duplicates, in short, are a better version of a data warehouse.



We hinted earlier in this post that investing in business analytics software helps you automate your data processing.

With some software tools, such as the digital duplicate, the data talks to itself and automatically makes connections to generate predictions. Predictive analytics make the job of the data analyst much easier because the data can be searched and returned in a uniform manner.

Simplifying business data is challenging and often time-consuming work. Lessen the burden by creating a plan and investing in tools that make your supply chain more potent and more profitable.

One way to do this is with TADA, which creates a digital duplicate of your organization. For more information about TADA, please reach out to us today.

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