Do you want to improve your Business? let’s do some data analysis.
Why is big data analytics so important?
Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.
The new benefits that big data analytics brings to the table, however, are speed and efficiency. Whereas a few years ago a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. The ability to work faster – and stay agile – gives organizations a competitive edge they didn’t have before.
Once a wise man said :
“Data will talk to you if you’re willing to listen”
Let’s talk about some sources of data collection.
Anything that returns some info can be treated as a source of data like:
Time and attendance systems.
Who’s using it?
From “Travel” ,”hospitality” ,”Health care” to “Government” & “Retail” .
How to do?
There are hundreds of machine learning algorithms is already there, to do data analysis. Depending upon the use cases just pick anyone.
With your ability to analyze and put good data information to good use, you can easily identify new and unexploited streams of revenue generation. This is one of the best ways to enrich your life by increasing your earnings.
By harnessing the plethora of data available, you can put your company ahead of disruptions in your industry, leveraging the data to augment your competitive position relative to others in your field.
With exponentially increasing amounts of data accumulating in real-time, there’s no reason why you cannot turn data into a competitive advantage.
“Behind every good decision, there are some data“