Sign up | Login with →

big data

Beware Relying Too Much on Power Users

September 9, 2016 by Timo Elliott

Every analytics team knows that it’s important to align with the needs of the business. But there’s a hidden danger: relying too much on power users.[read more]

How Airlines Measure Loyalty Using Big Data & Analytics

July 5, 2016 by Mark Ross-Smith

An ongoing debate in the loyalty world is what type of customer is more important? One that spends big on airline tickets or one that filters millions of credit card miles through the banks?[read more]

Apache Drill vs. Apache Spark: What’s The Right Tool for the Job?

March 1, 2016 by Jim Scott

If you’re looking to implement a big data project, you’re probably deciding whether to go with Apache Spark SQL or Apache Drill. This article can help you decide which query tool you should use for the kinds of projects you’re working on.[read more]

What Are Accumulators? A Must-Know for Apache Spark

February 27, 2016 by Jim Scott

If you’ve been using Apache Spark, then you know how awesome the Resilient Distributed Dataset (RDD) is. This data structure is essential to Spark for both its speed and its reliability. There are a couple of concepts that make Spark even faster and more reliable when run over large clusters: accumulators and broadcast variables.[read more]


3 Major Reasons VPN Can Improve Data Security

February 26, 2016 by Ryan Kh

Virtual Private Networks (VPNs) provide several protective features for both individuals and businesses; they provide a layer of privacy, a degree of anonymity, and a layer of security to all your web browsing actions, which could otherwise be publicly accessible. Depending on which VPN provider you go with, they can provide other advantages as well, such as allowing you to seem like you’re accessing data from another country.[read more]

A Guide to Spark Streaming - Code Examples Included

February 25, 2016 by Jim Scott

Apache Spark is great for processing large amounts of data over large clusters, but wouldn’t it be great if you could process data in near real time? You can with Spark Streaming.[read more]


Using Big Data to Win and Influence Customers

February 25, 2016 by Ryan Kh

If you want to concentrate your business efforts somewhere where they will mater, then you need to know just which of your clients the most valuable buyers are. It's a tradition for businesses to use the MVP (most valuable people) label on the customers who spend more money with the business than anyone else. On the other hand, once you identify these customers, you might just discover that they're also among your most expensive clientele with the lowest amounts of long-term loyalty.[read more]

How Data Bonds Sales and Marketing Together

February 24, 2016 by Martin Doyle

So far in 2016, we’ve heard a lot about Big Data, the Internet of Things, and the hottest new marketing technique on the block: ‘hyper-personalised’ marketing. Marketers are increasingly interested in focusing their efforts on individuals, not database segments, because that all-important personal attention is shown to increase engagement, inspire customer loyalty and deliver a more targeted message[read more]

Pardon the Interruption: Industry Veteran Returns to Ventana Research

February 20, 2016 by Dave Menninger

Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish the opportunity to conduct primary market research in the form of Ventana’s well-known benchmark research and to help end users and vendors apply the information collected in those studies.[read more]


The Role of Big Data in the Travel Industry in 2016

February 16, 2016 by Ryan Kh

There isn’t an industry that big data hasn’t touched. In the modern digital age, big data is impacting everything – including travel. And while the role of big data may be more obvious and transparent in other industries, it’s clear that the future of travel and big data will be permanently intertwined for the better.[read more]

Data Analytics and Business Outcomes: A Discussion Worth Your Time

February 14, 2016 by Richard Smith

What picture does a network paint in your mind? If it resembles a labyrinth— you are certainly at par with most firms, dealing with a tedious effort to get their acts together. For me— the situation is no different. I perceive most networks as winding passages— leading into the world of exploding firewalls.[read more]


Applying Big Data for Mass Customization

February 12, 2016 by Sean Mallon

Many companies have a strong interest in applying big data for marketing, but predominately at the promotional level. Few articles have effectively covered the application of big data for product modification and the user experience level. The streamlined acquisition of more data on customers, combined with the application of smaller batch production and cloud software means greater product flexibility.[read more]


A Look into Big Data Applications for Law Enforcement

February 10, 2016 by Abdullahi Muhammed

Ever-growing security threats coupled with shrinking budgets are putting enormous pressure on law enforcement agencies worldwide. Here's how big data is helping them.[read more]


Building A Smart Workplace For Post-Millennials

February 9, 2016 by Anand Srinivasan

In just a handful of years from now, post-millennials (kids born between 2000 and 2025) will start entering the workplace. This is both an opportunity and a challenge for businesses[read more]


How Big Data is Changing and Influencing Internet Marketing

February 4, 2016 by Ryan Kh

As we all know loads of consumer data is created every moment through computation. Via social networking databases and GPS tracking not only is the location of individuals who use certain apps provided but also their conduct, perspectives, interest and all around needs are recorded by search engines.[read more]