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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]

Using Decision Modeling to Make Predictive Analytics More Pervasive

February 25, 2015 by James Taylor

Predictive analytics.

So what is a decision requirements model? A decision requirements model describes the structure of the decision making involved in a decision you make over and over again like approving claims, pricing deals, making marketing offers or picking suppliers.[read more]

A New Generation of Analytics Offers Help for Sales

February 25, 2015 by Mark Smith

Sales and investment.

All lines of business are under pressure to meet targets and deliver expected results, but none is under more pressure than Sales. Like other organizations it must use information to derive insights about progress and problems and to decide what changes to make.[read more]

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Four Ways to Develop Customers for Life

February 24, 2015 by Don MacLennan

SaaS.

With the advent of Software as a Service (SaaS) and other subscription-based business models, Don discusses why it’s more pressing than ever to prevent churn. Your business can reach a 20 percent higher multiple in valuation with just a 2 percent reduction in churn.[read more]

DDoS - The Greatest Tool of Hackers in 2015

February 24, 2015 by Kelvin Smith

DDoS attack.

DDoS attacks have become a common buzzword for many enterprises with the increasing number of devices getting compromised. There is an overall impression created by such attacks that Anonymous is thrashing down not only the small but also the biggest players in the game without exemption from the attack.[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]

5 Data-Driven Steps to Improve Customer Conversion Rates

February 18, 2015 by Michael Chorazak

Customer conversion rates.

The proper ecommerce analytics solutions can give you unparalleled insight into how to increase conversion rates. Here, we break down how.[read more]

How to Position Big Data

February 11, 2015 by Martyn Jones

Position big data.

Fueled by the new fashions on the block, principally Big Data, the Internet of Things, and to a lesser extent Cloud computing, there's a debate quietly taking please over what statistics is and is not, and where it fits in the whole new brave world of data architecture and management. For this piece I would like to put aspects of this discussion into context, by asking what 'Core Statistics' means in the context of the DW 3.0 Information Supply Framework.[read more]

The Market Is Hot, But How Many Quants Are Changing Jobs?

February 5, 2015 by Linda Burtch

Being a quantitative recruiter, I have had a unique perspective on the current climate and how it has changed over the years. From the talent shortage and relocation challenges of 2007 to the incredible employee turnover in 2011 to the building of the data science hype in 2014, the Big Data hiring market is starting to move even faster and is quickly picking up steam.[read more]

The Case for a 'New IT' Operating Model

February 4, 2015 by Bob Dvorak

Enterprise IT.

An IT budget is more than dollars and cents; human capital helps power innovation. The new IT operating model embraces a lean, rationalized application portfolio designed to free up resources. Embrace the power of the new IT operating model and drive digital innovation so your company not only survives but thrives.[read more]

ATM Replenishment: Forecasting and Optimization

January 25, 2015 by Michael Gilliland

ATM.

ATM replenishment is a perfect example of combining two areas of advanced analytics, forecasting and optimization. For DBS Bank, the first step was to understand withdrawal activity. Withdrawal rate is impacted by many factors, such as location, day of week, day of month, and time of day, and can be dramatically impacted by holidays or other special events.[read more]

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

January 24, 2015 by RK Paleru
2

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]

Analytics Capability Landscape: The Importance of Decisions

January 23, 2015 by James Taylor

Analytics.

As part of my recently completed research on the analytic capability landscape, we did an interesting straw poll. We asked those attending a webinar on the topic which of these was the business goal for their analytic efforts today and how did they see that changing in the next 12-24 months.[read more]

Free Data Sources to Upgrade Your Business Decision-Making

January 19, 2015 by Eran Levy

Data.

We know by now that data is essential to the modern business. Everyone collects it, and most have some sort of analysis plan or software in place. But what a lot of companies still haven’t gotten the hang of is using outside data sources to boost their strategic decision-making. This requires a BI software that can combine your internal data with third-party sources, to analyze it and gain new insights.[read more]

Aligning Big Data

January 18, 2015 by Martyn Jones

Aligning big data.

This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.[read more]