data visualization program architecture diagram

With the ability to compare and integrate data sets, you get an eagle-eye view of how your business operates and how your customers engage with your products.īut, your data visualization is only as good as the data you put into it. Complex visualizations open new ways to interpret the data. Hidden within those vast amounts of data are new insights about your business that you couldn’t get from an Excel sheet, a standard line graph or a simple bubble chart. That’s where data visualization comes in. But, with automated tools, machine learning and AI-powered data integration, you can organize all your data and make sense of it. That’s a lot of complex data to analyze and track. Technology and mobile devices that people interact with daily create tons of information. When information is easy to consume and understand, data analysis and decision-making get a jump start. With the right data visualization methods, marketers can identify targets, sales teams can analyze opportunities and finance teams can better understand how your earnings and savings fluctuate.

With data visualization, you can find unexpected trends and get a crystal clear view of your financials, sales figures and customer information. Using real-time interactive updates, these tools make it possible to create data visualizations that improve humans’ ability to interpret data - simply, they give your company a better way to understand the information you’re collecting. Business intelligence tools combine and layer large data sets. While you can always put data into an Excel spreadsheet to compile information, data visualization can showcase the same data in ways that take insights much further.

Data visualization program architecture diagram