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Category : Big Data and Analytics

 

The Times They Are A-Changin’

The power of Insights and Analytics in Retirement.

The tune that Dylan sang in 1964 prophesying change becomes more pertinent with each passing year. We know live in a time where a machine (Libratus) is capable of bluffing us and beating the best humans at Poker. Somewhere else, Target is predicting

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The Cross-Road of Big Data Applications 2016:

Have you climbed the biggest data infrastructure tree and met with the analytics delegates in our previous posts? As this is a series blog, if you are reading from here you may probably get lost on the cross-roads. This is our third post and third time is always lucky, believe

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Big Data Landscape 2016- a General Sherman

Did you watch the jungle book movie??? I mean not the new fantasy adventure but the old funny “George of the jungle”. I just love Brendan Fraser in that movie, nobody could’ve done justice to that role except him but I too like the narrator who keeps on making the

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BigQuery: The story of my life

Me being a toddler:

I am BigQuery. My genesis is from Google. I am a cloud-based service that combines a NoSQL-style data store with “SQL-like” querying capabilities.

My mom said, before I was born, querying massive datasets was a hurdle without proper hardware and infrastructure. But now I solve this problem by

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A New Tech Tale

Staring at the nifty gadget coiled around his wrist, Karthik looks past the workout features of his so-called IOT device – it counts the calories burned, and rings showing how often he has stood up to take a break from sitting, how many minutes of brisk activity completed; his goal?

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Sneak peek – latest trends in Big Data Analytics

It feels like a Global Warming. The traditional Business Analytics icebergs are melting and Data Analytics Ocean is getting much bigger day by day. But the difference is, the first said comparison is really dangerous to our earth and the latter one is the best thing happened in the industry.

When

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Analytics Reduce Churn, Accelerate Sales, in Telecom

As technology advances, service and pricing plans evolve, and the market becomes more saturated, telecom companies face increasing competition for customers. Telecom markets are highly competitive and churn is a huge concern. Understanding customer behavior is a key to staying top-of-mind.

The need for analytics
A survey released by Accenture shows that

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Leveraging BIG Data to boost business

In the United States alone, there are close to 200 million customers of the pension/insurance industry, as per 2013 figures [Bureau of Labor Statistics, US Dept of Labor]. The numbers are increasing progressively as well. There are large amount of data collected from the million customers through various source. The

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