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Data Mining

Business Analytics Error: Learn from Uber’s Mistake During the Sydney Terror Attack

January 24, 2015 by RK Paleru

Uber.

Recently, as a sad day of terror ended in Sydney, a bad case of Uber’s analytical approach to pricing came to light - an “algorithm based price surge.” Uber’s algorithm driven price surge started overcharging people fleeing the Central Business District (CBD) of Sydney following the terror attack.[read more]

2015: The Year of IoT Pioneers, Analytics and Data Privacy

January 16, 2015 by Puneet Pandit

2015.

This past year welcomed widespread Internet of Things (IoT) adoption and hype, big data implementation, and growing concerns around data privacy and cloud deployment. As 2014 draws to a close, we look ahead with much anticipation for what promises to be a signature year for machine learning, predictive analytics, new IoT pioneers and a full overhaul in the distribution of the IoT.[read more]

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Business (NOT) as Usual: 3 Big Business Intelligence Predictions for 2015

December 30, 2014 by Ray Major

BI.

Each year, I work with dozens of clients in a quest to help them effectively implement their Business Intelligence systems. And each year, based on my experiences, I have put together a top 10 list of trends and predictions for the upcoming year.[read more]

Ignore Your Business, Rake in the Profits

December 12, 2014 by Bill Franks

Analytics.

Bring together a few people for several hours. Bring an inventory of the various data sources your organization has access to. Then, brainstorm ways that the analysis of that data can be of value to anyone except your organization. Don’t talk about understanding your business with the data, but rather talk about what opportunities the data can support for others outside the organization.[read more]

Looking for Hard to Find Data?

December 9, 2014 by Larisa Bedgood

Hard to find data.

We have all heard of Big Data, but how many of us have heard of Data-as-a-Service (or DaaS)? Still a relatively new concept, DaaS is primed to make a huge entrance in 2015 – it is the game changer that is completely revolutionizing marketing.[read more]

The Must-Have Skills You Need to Become a Data Scientist

November 26, 2014 by Linda Burtch
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data science

I wanted to put together a list of technical and non-technical skills that are critical to success in data science. Every company will value skills and tools a bit differently, and this is by no means an exhaustive list, but if you have experience in these areas you will be making a strong case for yourself as a data science candidate.[read more]

Who Gets the Call When Your Analytics Process Crashes?

October 10, 2014 by Bill Franks

Analytics matters.

I recently had a meeting with one of the largest companies in the world, where we discussed concerns about ongoing maintenance and, more importantly, ongoing repair required for analytics processes. The conversation helped solidify in my mind a major disconnect that often occurs when organizations deploy an analytics process into a production setting. Let’s walk through that disconnect here.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 1, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]

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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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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]

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Data Science: What Companies Need to Know

August 23, 2014 by Jeff Brown

Data science.

Take a look at Google, Uber, Amazon or Airbnb. All of them are utilizing big data and data scientists to derive business insights and making quantum leaps in their respective business models. Many companies don’t understand the full value of what data science can deliver, revolutionizing their big data into actual results.[read more]

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Can Fossil Analysis Software Help Us Plan Curriculum?

August 20, 2014 by J. Kevin Byrne

Fossil analysis software.

Paleontologists use (free) software (known as PAST) for their statistical analysis. I bumped into it via key-word web-search to support academic planning I was doing. I offloaded it, took a close look, and I discovered I could use a specific menu within it (hierarchical analysis) to help reconceptualize curriculum at my design college.[read more]

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Should the Entire Internet Be Encrypted?

August 19, 2014 by Shawn Gordon

Encrypt all the things!

Until the entire Internet is encrypting all its traffic, solutions like IceBrowser are a good way to protect yourself online. This isn’t about things as mundane as pornography; this is about protecting every piece of information and every footprint you leave out there.[read more]

We Need an "Internet of Not Only Customers"

August 8, 2014 by Peter Perera
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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]