As new technologies enter and integrate with digital media, interest is peaked on how to best capture and utilize data for analysis and intelligence.
Understanding business trends and building out predictive modeling thresholds, such as “what if” and “if then” scenarios, by vertical will be commonplace in the future.
So should the industry be proactive and offer up best practices for digital media data analytics and integration analytics?
Based on collective knowledge and experience, minimum standard measurements are needed for select integration modeling between POS, receipt printers, digital video surveillance, inventory software, security software, and others. This collection would assist customers in understanding the power within the data they already have - if only they knew how to tap into it.
Best practices standards would assist customers in knowing what to watch for in software and service partners, and educate them on the how to read the data once collected. Deployers/end-users need to take a step back from working “in” their business in order to work “on” their business…to think clearly about what actions should take place either onscreen or within the environment based on the data provided. Going past day-part programming and turning data into knowledge, setting thresholds to automate promotions, events, and so on based on real-time information being collected through a variety of solutions.
As the digital media industry ecosystem evolves, the hardware, software and service companies should look past standalone offerings and build out apps that will integrate easily within the larger IT ecosystem. Some type of measurable guidelines would help.