Data understanding is the key to success. It’s the fuel that accelerates application delivery, business and operational analytics, and AI/ML model development. It enables faster responses to changing market conditions. It facilitates communication between development teams and business units.
The challenge, of course, is making that happen. Demand hong kong whatsapp number data exists for information management, or at least the products of information management. It’s just that nobody wants to do it. If, like so many of us, you’re starting at square one (or two) here are five steps that will help you to build a bridge across your data chasm. (You can read the full five-part Data Chasm series here.)
1. Recognize that the incentives of application development teams, and often their business artners as well, are completely misaligned from information management.
Development teams produce applications that implement business processes and capabilities. The demand backlog is always growing, and managers are pressured to deliver more capabilities in less time with fewer people. Given the choice between correcting data errors and delivering applications, we all know which will be prioritized.