The Future of Software: Enterprise Data-driven Applications
Data-driven is an over-used term these days, leading people to ask, "What is data-driven? I thought all my apps had data in them?"
@Reltio we believe that data-driven applications such as LinkedIn have shown how applications can truly combine relevant insights and recommended actions, into a single application that blurs the lines between analytical visualization and operational execution.
When you use LinkedIn, you don't think about what functions you should be using to analyze the data, or how you can connect to a peer that LinkedIn has surfaced as a recommended action. Whether your goal is to find a new job, connect with a potential partner or prospect, you easily and seamlessly accomplish tasks within the application, everything is in one place, with a wealth of data to guide you.
It's no wonder that leading venture firms believe that a new generation of enterprise data-driven applications will be revolutionary:
One critical component that is missing from the discussion is that of reliable data. For business users to trust a new wave of enterprise data-driven applications the data must be complete and accurate. Separate siloed data management solutions feeding applications are not enough, since information needs to cross multiple domains and be available in real-time. @Reltio our enterprise data-driven applications come complete with a built-in data management foundation, allowing you to rapidly deploy solutions to meet your biggest challenges.