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Big Data

House of Cards and the Art of Working Backwards

March 10, 2015 by Sima Thakkar

Working backwards.

So if the consumer (and in this situation my friends) aren’t too concerned with the fact that the show was deliberately made based on viewing habits, but rather that they get to watch one of their favorites actors be directed by someone whose movies they also love, all while engaging in a nail-biting plot, why aren’t more companies working backwards and paying closer attention to what their customers want?[read more]


By the Data: The Geography of Gender-Based Income Inequality

March 10, 2015 by Josh Knauer

Gender-based income inequality.

Will granular data tell a story not uncovered by national statistics? And is there a way to visualize this issue from another perspective? Using data provided by Simmons Local, we decided to look at males and females making $25,000 or less annually and break down those numbers geographically.[read more]

Big Data Is Not Data Warehousing

March 9, 2015 by Martyn Jones

Data warehousing?

Big Data is not Data Warehousing, it is not the evolution of Data Warehousing and it is not a sensible and coherent alternative to Data Warehousing. No matter what certain vendors will put in their marketing brochures or stick up their noses.[read more]


Big Data Ethics: Rearranging the Puzzlers

March 7, 2015 by Anand Srivastava

Big data.

The modern entrepreneur is completely dependent on the concept of Big Data, overloaded with the Workforce management schematics. This post delves deep into the concept of Big Data Ethics considering the chunks associated with the initiation and procurement. Big Data is an enigma and the ethics need to be understood first in the interest of safeguarding consumer interests.[read more]

Don't Fine Tune Your Forecast!

March 6, 2015 by Michael Gilliland

Does your forecast look like a radio? 

It's true that even a small adjustment can make a big improvement in forecast accuracy. Changing the forecast from 100 to 101, when actuals turn out to be 102, means you cut the error in half! (On the other hand, if actuals turned out to be 200, then you only reduced forecast error by 1%.)[read more]


The Data Lake Debate: The Introduction

March 6, 2015 by Jill Dyché

Data Lake Debate column.

Will filling up your data lake will help or hurt the cause? On the one hand, a data lake full of raw, multi-structured, and heterogeneous data from across systems and business processes, could be the proverbial “single version of truth” that up until now had just been the unconsummated hope of many an executive.[read more]

Can Big Data Help You Figure Out If You'll Get the Flu?

March 4, 2015 by Sima Thakkar

Big data and the flu.

The power of big data is reinforced even while sitting at home with the flu. While the healthcare industry in the U.S. still has several hurdles to overcome in terms of patient privacy, fragmented data sources and regulatory requirements, the idea that data collected via search queries can give me insight into where my flu might have originated from is deeply fascinating.[read more]


Why We Must Declare War on Data Obesity

March 4, 2015 by Bernard Marr

The Big Data Guru column.

Food is a necessity to life and I think an argument can be made that data is a necessity to a modern business; we need data in business to gain insights and make better decisions. But just as we must choose the right foods in the right amounts to keep us healthy, businesses must be judicious about what data they collect. We are collecting so much in many cases that it is becoming unhealthy and costly.[read more]

How Data-as-a-Service (DaaS) Is Revolutionizing Marketing

March 3, 2015 by Larisa Bedgood


Rather than focusing on developing and managing an intricate network of data, companies can focus on the business outcomes and marketing advantages of Big Data. Generating immediate revenue from Big Data is a universal goal for most marketers - and DaaS makes this possible for businesses across any type of industry.[read more]


Better Marketing With Big Data

March 2, 2015 by Anand Srinivasan

Marketing with big data.

With big data, marketers can now test assumptions on a massive number of data points and derive insights that are typically not possible with regular surveys.[read more]

Contradictions of Big Data

March 2, 2015 by Martyn Jones


It is said that Big Data is changing the world, but for all intents and purposes, and shamed by previous Big Data excesses, some people are rapidly changing the definitions and parameters of Big Data, and to position it as being more tangible and down-to-earth, while moving it away from its position as an overhyped and dead-ended liability.[read more]


Big Data News Bulletin: The Stories You Can't Miss in Feb/March 2015

February 26, 2015 by Bernard Marr

Big data news bulletin.

Barack Obama is said to have hand-picked D J Patil as the US Government’s first ever Chief Data Scientist. Patil made his name working for a long list of Silicon Valley tech companies including Paypal, Skype, LinkedIn and Ebay.[read more]

Market Research and Big Data: A Difficult Relationship

February 23, 2015 by Istvan Hajnal

Market research & big data.

My advice to the market research world is to stop conceptualizing so much when it comes to Big Data and Data Science and simply apply the new techniques there were appropriate.[read more]


Big Data and Mobile Gaming

February 20, 2015 by Jessica Oaks

Mobile gaming.

Electronic gaming as a whole is now valued at more than 90 billion dollars and the mobile gaming segment is poised to overtake the console industry in the worldwide market as soon as this year. Clearly this is a time of big changes in the gaming sphere. Mobile gaming is blowing up, games are cheap and plentiful, and in many ways there has never been a better time to be a player.[read more]

Securing Data Vital to Personalized Customer Experiences

February 20, 2015 by Natalie Lehrer

Securing data.

Personalization, the killer user engagement feature, is built on trust and data security. User data, displayed on websites and available through secure APIs, is the new pivot for enterprise IT that will drive the evolution of security practices and customer engagement in 2015 and beyond.[read more]