1. Collect all your enterprise data
To preserve the various data streams, a data lake is created on Hadoop. Now that all this data is in one place, you can look at infinite possibilities. Business processes can be improved, customer behavior can be further understood, efficiency of machines can be improved, highly effective marketing can be done.
2. Catalog all that data
When you have all our data in one place, you need to understand it quickly. It can be millions of records or more! You would need some magic to understand this vast amount of data and that too within minutes. A cataloging tool not only catalogues your data automatically but also draws out its relationship with other datasets and does much more.
3. Make it user- friendly to the business
Businesses must empower business users to use data to gain insights by making it user-friendly for anyone to pull big data to answer questions rather than relying on IT all the time. Faster and easier data insights can enable a business to make better informed decisions.
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