![]() ![]() Unrelated data can also inspire data stories. Presenting these insights through data visualization can improve impact and actionable decisions of the organization. Say that your findings are that millennials do in fact download and use the app more often than they visit a branch, this is something that you can take to your stakeholders for reasons to invest more money into the app than into branch-based programs or services. baby boomers come into the branch each week and compare that to your 1st party data of how many use the app each week. You then use 1st party data to determine how many app downloads are by millennial age customers, 2nd party data to see what transactions they are doing on the app and 3rd party data to see how many millennials vs. Your hypothesis is that millennials are more likely to download the app to do banking transactions than go into a branch. One example of this would be to say that you’re in the banking industry and you are looking into your online banking app. After you have all your data in one place, like a Data Management Platform (DMP), you can decide on what information you now want to pull for your story This means your first, second and third party data. The best place to start would be to collect your data. What question are you trying to answer, or issue are you trying to solve? To know your audience, however, you first need to know how to read your data and know how to use it. If it’s the customer, how did you make their experience better and how are you helping them through this story and to continue to keep them happy. If it is the stakeholder, generating leads and how you achieved conversions is a great discussion, as well as giving them the insight into what they need to keep doing or do less of to remain successful. Who are you talking to exactly? This will determine what aspects of the story you want to concentrate on and what are the most important. Knowing your audience is one of the most important aspects of marketing, and data helps to achieve that. Once you decide what is most important to highlight, then you can transform it into a visualization. Statistics can be overwhelming to analyze if you do not sort out the unnecessary information. ![]() First, you need to decide what data is most important. ![]()
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