Predictive Analytics in the Retail Industry

Introduction   Figure 1: Predictive Analytics   Predictive analytics is the utilization of information, factual calculations and machine learning methods to distinguish the probability of future results in light of chronicled information. The objective is to go past recognizing what has happened to give a best appraisal of what will

Big Data Analytics and augmented patient care

Why Big Data in Healthcare is so required?   Figure 1: Need for Big Data Analytics   “Data analytics” refers to the practice of taking masses of aggregated data and analyzing them to draw important insights and information contained in it. This process is increasingly aided by new software and

Planning for Big Data Success

Introduction Most organizations are either starting or have already started on their Big Data journey.  As most other technology hypes, Big Data has also followed the hype cycle and there was a drop in interest in past years after the initial frenzy.  What we are seeing now is the second

Big Data Challenges and Solutions

Introduction Big Data has empowered organizations to inspect substantial volumes of structured and unstructured data. Big Data augments decision making, by delivering data and conclusions from the projected valuable information. Organizations are presently in a situation to consolidate their data with the acquired large data sets such as geospatial data.

Can Big Data replace an EDW?

Overview Data Warehousing has been the buzzword for the past two or three decades and big data is the new trend in technology. A question that often arises in our mind is, “Are they similar and will Big Data replace a Data Warehouse”, the reason being, both have similarities like

Big Data and the Internet of Things (IoT)

The Internet has come a long way from a shaky dial up to the interconnected revolutionary world we are in. This new wave of interconnectedness is called the IoT (Internet of Things) or sometimes IoE (Internet of Everything) What is IoT? In its most simplistic term, IoT refers to the

Governed Data Lake for Customer Critical Data Analytics

Overview Retail chains that have brick and mortar stores as well as online platforms often struggle in identifying the customers visiting their site. Even with all the information available at their disposal, the probability of identifying the customers accessing their website is a mere 30%. This blog discusses on the
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The Christmas Shopping Big Data Use Case

There’s a metaphor I like to use about public washrooms. Have you ever been in a public washroom where the toilet flushes automatically, the soap dispenses automatically, and the water turns on and off automatically, but then the drier is manual, and it seems really jarring and weird because you

Retailers’ Successes and Struggles with Big Data in 2014

“Recent research by McKinsey and the Massachusetts Institute of Technology shows that companies that inject big data and analytics into their operations outperform their peers by 5% in productivity and 6% in profitability. Our experience suggests that for retail and CPG companies, the upside is at least as great, if

Big Data Enables CPG Companies to Gain an In-Depth, Personal Connection with the End User

This article was featured in the Q3 2014 edition of Loyalty 360‘s Loyalty Management magazine. Consumer Packaged Goods (CPG) companies have accepted for many decades that the reality of the industry is that the customers are interacting with intermediaries like digital merchants and retail outlets, not directly with them. The