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Data Management

Big Data Proves Mobile Is Where Your Audience Is: Where Are You?

September 18, 2014 by Tracey Wallace

Mobile phone.

In 2012, Americans spend just 6% of their media diet with print, but that those pages attract 23% of all ad spend. Mobile, on the other hand, took up 12% of the typical American’s media diet, yet only pulled in 3% of all ad spend. That left a whooping $20B opportunity in mobile advertising revenue alone.[read more]

12 Data-Driven Cities Making the Internet of Things a Reality

September 16, 2014 by Tracey Wallace
2

Sondo, South Korea.

These top cities are putting data to real use. Some are only ideas, some are helping to rebuild what once was and some are just out for making history. All the same, each and every one of the cities on this list are out to save lives, change their current economies and architectures and truly make an impact on our world and our collective future.[read more]

Top 5 Things Recruiters Should Ask Their Big Data

September 13, 2014 by Trips Reddy

Recruiters. 

The human capital of any company truly is one of its most valuable assets. But unlike the technological advances in marketing, customer support and sales, recruitment at most companies hasn't seen significant improvements that support analytics-driven, evidenced-based talent acquisition.[read more]

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Don’t Let Internal Obstructionists Derail Your S&OP Initiative

September 10, 2014 by Ray Major

Obstructionists.

I recently ran across an article by Tracy Parsons where she identified obstructionist within an organizations as people who are “Paid by the No.” I found that statement to be not only quite funny, but also quite accurate. We’ve all experienced them.[read more]

Non-Consensual User Data Tests Violate Fundamental Rights

September 9, 2014 by Tracey Wallace

Your data.

It might sound cliche, but what big data needs is the enforcement of the Golden Rule: treat my data as you would want yours treated. For most people, that means allowing for the ability to consent to a study, or opt-out of collection entirely if they so choose.[read more]

How Data Science Is Making Dreams Come True

September 8, 2014 by Katie Wahlman

Data science.

By unifying the millions of data points collected using a visualized distributed data warehouse, and thus turning disparate data into meaningful insights, Disney is able to eliminate the guesswork and make data-driven improvements to rides and attractions, transform the experience of waiting in line, and more effectively manage park flow.[read more]

Why Mistrust from the iCloud Leak Isn’t Necessarily a Bad Thing [VIDEOS]

September 8, 2014 by Natalie Lehrer

iCloud leak.

If nothing else, this celebrity leak should challenge this generation to rethink whether they want social media. Should it return to its’ original roots as a networking platform, to connect and share in the experiences of their friends? Or rather as a stage, whereby they are willing to broadcast all of themselves in the vain hope of being seen or heard, and therefore feel important?[read more]

3 Big Data Use Cases to Kickstart Your Data-Driven Initiatives

September 5, 2014 by Tracey Wallace

Creative ways to utilize your big data.

In 2014, the logistics of big data have, for the most part, been solved. There are plenty of platforms and how-to articles that can easily point you in the direction of collecting your data and then funneling it through an ad tech platform or program to increase your online ad ROI.[read more]

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Connecting the Data Dots Keeps These Companies Alive

August 27, 2014 by Tamara Dull

The Big Data MOPS Series.

What do the following companies have in common: Google, Facebook, Twitter, LinkedIn, Orbitz, Airbnb, Angie’s List, Match.com, OpenTable, and Uber? They’re all online; they have no brick-&-mortar presence. If their website or mobile app is unavailable, it’s as if they don’t exist.[read more]

Are There Alternatives to Data Hoarding?

August 27, 2014 by MIKE20 Governance Association

Data hoarding.

“In a microsecond economy,” Becca Lipman recently blogged, “most data is only useful in the first few milliseconds, or to an extent, hours after it is created. But the way the industry is collecting data, or more accurately, hoarding it, you’d think its value lasts a lifetime.[read more]

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Building Information Technology Liquidity

August 25, 2014 by Paul Barsch

Risky Business column.

In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]

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We’re Traveling at the Speed of Cool to Creepy

August 22, 2014 by Tamara Dull

The Big Data MOPS Series.

It is no longer good enough to make the connection or get the account. The challenge now for companies/brands/apps is to demonstrate that they are trustworthy, respectable, and care about safeguarding what customers have shared with them—i.e., their personal data.[read more]

Supply Chain Business Intelligence Is More Than Just Technology

August 20, 2014 by Ray Major

Supply chain BI.

Interestingly the technology implementation requires the most hard dollar costs, and returns the least in terms of ROI. The real value in Holistic BI is in garnering the corporate buy in or, in other words, training the people to make better data-driven business decisions based on the data.[read more]

Enhance Customer Retention and Acquisition Strategies with Insurance Data Analysis

August 16, 2014 by Gayle Nixon

Attacting and retain customers.

To better attract and retain customers, leading insurance companies must establish strategies that focus on improving their customers’ experience and optimizing their underwriting and pricing practices. This is easier in theory than reality as a recent study from Bain & Company concludes - insurance carriers are usually only good at one strategy, not both.[read more]

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Dear Facebook, It’s Not You, It’s Us

August 15, 2014 by Tamara Dull

The Big Data MOPS Series.

Last week, we reached our 7-year anniversary mark. Have we really been together that long?! Because, honestly, it feels like forever. I’m sorry we didn’t celebrate, but I really didn’t feel like it. Ever since you asked me for my home address a few months ago, my feelings have begun to change. You crossed a line, dude.[read more]