Big Data Analytics with Clickstream

Clickstream is the route visitors choose when navigating through any given website. It’s a collection of events collected on the pages visited, products viewed, items searched for a given user. The data from clickstream is one facet of many that provide valuable insights on assessing performance of multi-channel marketing. Data mining of click paths caters […]read more »

Improving Loss Prevention in Retail Stores by Applying Swarm Intelligence

In Retail, theft and intentional damage to merchandise is a common problem. Retailers have several loss-prevention solutions in place, but theft still occurs as shoplifters find new ways to steal a product or even part of a product. Monitoring systems at retail stores use traditional video surveillance where the person behind the camera determines unusual behavior […]read more »

Breaking The Silo In Big Data Analytics

In my position as Chief Data Officer for Ness Digital Engineering, I talk with many companies about their Big Data challenges and needs. Some of these companies have chosen to analyze their Big Data to enable use cases such as online personalization or creating a 360-degree view of their users. Others have been forced into […]read more »

Big Data 101 – The Rise and Fall of Greenplum

Last time we explored Massively Parallel Processing (MPP) databases as a way to run SQL queries on Big Data at Rest. One of the leading commercial products in this category is Pivotal’s Greenplum, which, at its peak, achieved annual revenues of over $100 million. The rise and fall of this product provides an illustrative lesson […]read more »

Big Data 101: Big Data at Rest

The rubric of Big Data covers a lot of varied problems. Knowing how to classify a Big Data problem is the first essential step in proposing a solution. To illustrate, suppose your retail business has two critical needs: Firstly, you need to analyze historical sales data in your Enterprise Data Warehouse, going back 10 years, […]read more »

Ness Digital Engineering Expert Explores Big Data For Business World

05 May 2015
by: Ness
in: News
Tags: big data, big data analytics, data analytics
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Dharmendra Kapadia provides insight on next generation Big Data analysis Big companies across the world have come to realize the importance of Big Data in this digital economy. Dharmendra Kapadia, Senior Direction, Solutioning, Ness Digital Engineering has authored an article on the emergence and the importance of Big Data for Business World, one of the biggest […]read more »

Big Data Analytics 101: How Is Big Data Different?

A Big Data problem (as opposed to a classic data problem) is best characterized by the 3 V’s: Volume: When the amount of data to be analyzed grows beyond 5 TB of storage, traditional database solutions such as Oracle or Microsoft SQL Server start getting prohibitively expensive and very hard to maintain. When the data […]read more »

Big Data Analytics 101: Why All the Hype?

You can’t pick up a trade magazine these days without seeing an article about Big Data and how companies are anxious to leverage this data for actionable insight. The CTO of ThingsRUs Ltd announces that, thanks to a successful Big Data initiative, customers need to service their Thing only once a year instead of twice. […]read more »