We used to think of knowledge workers as a few librarian-like employees responsible for managing all kinds of information. But information has become like currency: the more you have, the more you can do with it. And that means everyone has the potential to leverage information to perform their jobs better and increase the quality – and speed - of their decisions.
The ability to search for information and find what you need is a critical knowledge management capability for any enterprise. But too often, search is limited to a quick keyword search and a set of links that leave you trying to figure out what you need.
In the rush to keep up with customer demands, organizations are launching digital transformation initiatives without considering the effect these plans will have on employee productivity.
Why would strategies that improve customer experiences have a negative effect on employees? Because more often than not, they contribute to the growing silos of information spread across the organization. The very information that employees need to perform their jobs.
Looking for a search solution that could power their e-commerce, Intranet, and CRM experiences, National Instruments wanted to optimize the online shopping experience and foster collaboration and engagement across the workforce.
National Instruments is among the innovators that put search at the core of its systems, including digital commerce, the website, intranets, and CRM.
We’ve been posting lately about all the ways cognitive search can help make your business more successful and its employees more productive. The working definition we use for cognitive search is: “Cognitive search allows people to find hidden knowledge.”
Now, “hidden” can mean you don’t know where something is, but it can also mean that it’s not accessible. You know where a certain piece of knowledge is, but you can’t get to it because it’s in a place you can’t connect to. Or you can only connect to it when you’re in the office — not when you’re working from home or on the road.
Good question. What is the point? The point is to create measurable business value from enterprise data. Of course, before measurable business value comes insight. The Modern Data Architecture (MDA) recognizes that insight can lie hidden in data of all types—structured or unstructured, messy or modeled, historical or realtime.