Why relevant data matters.

Why relevancy matters.

Search for something on Google and you get 10 billion results in less than a second. Great. But if the thing that you’re looking for is beyond page 1 or 2 of results, how do you know get to it?

How is this helpful again?

Because of the way Google displays search results, you actually don’t know if there was some relevant information you missed out on or not. You only see what Google wants you to see. How do you know if something on page 100 is NOT relevant and more helpful than what Google wants you to see on page 1?

In the workplace

Now think about an organization (your own or someone else’s, large or small, it doesn’t really matter). Think of all the systems, databases, spreadsheets, presentations, documents, and various applications there are or can be. Think of how much “stuff” there is even in a 2-person company, let alone in a 20000-person organization!

How do you find [assuming that you can do a search across all various data sources] what you are looking for and how do you know that you have the all right information?

Just merely searching and finding a document for example, doesn’t give insight and context to what else is related to and may be important or useful information regarding that document. What else is connected to that document? The person(s) who made the document may have created additional materials related to that document that you just don’t get to see. What if this would be important and relevant information to a project, a customer, has a financial impact or helps or impedes from making an informed decision?

Not having the right data is one of the top reasons why employees make bad decisions in organizations.

Now think that this is happening every day and every minute in your or someone else’s organization.

How to improve   

Make data talk to other data – data sitting on its own has little value. Integrate or connect systems by the best means possible, so data flows between multiple applications and systems.

Map and organize data – to increase knowledge of what is where, to mitigate loss of data, reduce multiple instances of the same data, and to increase overall understanding of data flow in the organization.

Make it discoverable – Making an organization’s data discoverable by all employees from a single point-of-access not only democratizes data, but also makes it easier to control and monitor.

Provide context – when and where you can, set keywords and tags, when and where show how data is related to or dependent of other data. This will bring incredible value and insight to all employees and improve all aspects of decision-making and employee productivity.

If you want to learn more about how to provide relevant data at the right time to your employees, contact Relefant at any time!

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