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Four Steps Towards Discoverable Enterprise Data
Avolution Article Updated on 30th June 2021
Being able to locate and understand the data resources in large enterprises gives a huge competitive advantage. Working out how to set up data stores so different regional teams can use it efficiently is a skillset needed in all organizations, and enterprise architects often lead the way.
Everything we do creates data. It’s estimated that a staggering 1.145 trillion MB of data is created each day including 306.4 billion emails, and 500 million Tweets.
With the average enterprise using somewhere between 850 and 1500 applications, including infrastructure catalogs, marketing, customer and financial databases and more.* – That’s a lot of data!
Although startling, these statistics are a good indication of how quickly data can build up. When poorly managed, large data volumes lead to high maintenance. However, when managed well your data can have many benefits. Helping organizations make informed decisions, quickly and confidently.
Step 1 – Centralization
Step 2 – Identification
Step 3 – Collaborative Data Management
Step 4 – Communication Through Visualization
For Read about 4 steps, Click Here.