Sign up | Login with →

Business Intelligence

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]

Big Data and Ford's Faster Horses

September 15, 2014 by Arent van 't Spijker

Horse? Or horseless carriage?

In the late 19th century, a New York City planner put out a warning that by 1950 the city would be completely uninhabitable. The problem, as he saw it, was that at the current growth rates the city would not be able to sustain the growing number of horses.[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]

exclusive

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]

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]

Intelligence Input = Sales Output

September 3, 2014 by Ray Major

Test of time.

In my experience many tech professionals, especially the executive ranks, consider themselves forward-thinkers, early adopters, one or two steps ahead, dispensers of wisdom. “If companies or consumers would just take our advice and buy our product or license our app, businesses would run better, people would be happier.” Or some variation on that theme.[read more]

exclusive

Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

exclusive

5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
1

Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

exclusive

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]

5 Tips to Consider When Designing Supply Chain Key Performance Indicators

August 22, 2014 by Ray Major

KPIs.

You can’t predict anything with 100% certainty, and your predictive power wanes the farther out you gaze. The study of KPIs over time is all about finding patterns and signals, then applying intelligence in order to make better decisions and gain wisdom.[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]

We Need an "Internet of Not Only Customers"

August 8, 2014 by Peter Perera
2

Internet for not only customers. 

CRM software vendors tout a similar story-line. “Focus on customers”, they all say. SalesForce, for example, advocates creating an “Internet of Customers” and become a “Customer Company”. But paradoxically, customer fixation may not be how to best improve customer growth, engagement and customer experience. If anything, establish an “Internet of Not Only Customers”. Turn into a “Connections Company”. To help pull this off, CRM software needs to be more context-aware and behave more like a graph database. Knowing customers requires also knowing all their possible contextual identities and corresponding connections to others.[read more]

exclusive

Data Scientist: Sexiest Job on the Planet

August 7, 2014 by Ray Major

Data scientist.

If you paid close attention, you could see it coming. The tortoise eventually beats the hare, but it does take time. Allow me to make my case using the following more or less chronological, non-linear and highly selective history of the modern era.[read more]