Those who have a strong data driven mindset tend to be the more organized in our lives. Those who assess the success of the something on numbers and not gut feeling are naturally going to be those who segment tasks into easily measurable metrics, be this numerically or in order of importance.
However, how can data become a component of creating order in a business?
When starting any new data programme one of the first and equally the most important steps is auditing the data that is currently in the system. This means evaluating where the data came from, how accurate it is and how it is being stored. The most important saying in Big Data and analytics is ‘garbage in, garbage out’, so companies who are serious about starting data programmes require their data to be in the best possible order before they start running reports on it.
This data auditing goes well beyond simply making the order in good order though. It creates a system where true performances can be evaluated and actioned. It means that any department who have created above average amounts of ‘bad’ data can be identified and the processes that they are using that may be faulty can be tweaked and solved.
Data auditing also means that disparate data sources will have commonality in terms of how data is presented and stored. This allows multiple data sources to be used and imported to create reports that would not have been available before. This kind of work creates an organized and connected company who can look at things holistically rather than simply looking at direct correlations.
Data cleaning goes well beyond the basic idea that the data you have in your database is simply up-to-date. It is a necessary action to be taken at least once per year regardless of the size of the company. It means that the data you are using is fully relevant and therefore has a better chance of showing accurate insights into your audience.
Accurate data and insights into an audience has a wide ranging effect on the entire company. It means that hot leads for sales will become more common as the correct people are being targeted with the correct information, marketing departments will find a better response rate as cleaner data means that people who are targeted, have far more affinity with what is being shown.
Through siloing data, it is possible to put the relevant data in the relevant places to make sure that those who need it have the information they need in one place.
Although there will be times when data from different silos needs to be mixed, with the data auditing of inputs and fields, the opportunity to have an organized, siloed, but accessible database, will mean that companies can organize themselves based on multiple opportunities.
Essentially, in order for a company to fully realize the potential that Big Data Analytics has, they need to be organized. An unordered company trying to start a data programme, is a company with a data programme that is destined to fail. Data organization now goes beyond simple database upkeep and instead bleeds into every area of the company. This keeps things ordered and relevant from the ways that customer care advisors deal with complaints to how accountants can access expenses. With everything being intertwined but ordered, it not only requires order from the data, but creates order from the analysis.