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Host Analytics Modeling Cloud Simplifies Planning and Reporting

August 20, 2015 by Robert Kugel

Our benchmark research on next-generation business planning finds that a large majority of companies rely on spreadsheets to manage planning processes. For example, four out of five use them for supply chain planning, and about two-thirds for budgeting and sales forecasting. Spreadsheets are the default choice for modeling and planning because they are flexible. They adapt to the needs of different parts of any type of business.[read more]

What Can Academics Learn From Market Researchers?

August 20, 2015 by Annie Pettit

Market research conferences pay a lot of attention to balancing out brain heavy learning with brain light entertainment. For example, ESOMAR had a SoapBox to allow anyone to rant on any topic for a couple of minutes. MRIA had ping pong tables freely available during breaks. MRA planned a bar hopping social event. I’ve seen caricaturists, photo booths, prize drawings, and more.[read more]

Top 3 Challenges Retailers Overcome With Business Analytics

August 20, 2015 by Larisa Bedgood

Retailers clearly understand that as consumers shop across multiple channels and expect seamless interactions, analytics will play a vital role in customer acquisition and retention strategies. Here is how analytics can be used to address the top 3 challenges.[read more]


How Application Tiering Reduces Infrastructure Cost [INFOGRAPHIC]

August 19, 2015 by Sai Gundavelli

Data is growing at a faster pace than ever. The amount of global data will reach 40 Zettabytes in just five years, equal to about 8.5 trillion DVDs.[read more]

Big Data, ESP and Transubstantiation

August 19, 2015 by Martyn Jones

To the layperson anxious for answers to complicated questions, the very idea of bringing together sets of disparate data and turning it into precious insights may seem like magic, a modern day alchemy, a goal placed well beyond the grasp of mere mortals. Fortunately, this is no longer the case, thanks in part to bagatelle-proportioned advances in Big Data and Big Data analytics and massive advances in imagination; we are able to look into the past, the present and the future, with absolute certainty.[read more]

4 Ways to Protect Your Business from Phishing Scams

August 19, 2015 by Kyle Cebull

Since phishing typically impacts users on a personal financial level, it’s not something that is often given much thought. However, with a little careful training and proactive measures you can ensure that your users and your business are protected from phishing scams.[read more]


How Walmart Is Tackling the Big Data Skills Crisis

August 18, 2015 by Bernard Marr

As the amount of digital information generated by businesses and organizations continues to grow exponentially, a challenge – or as some have put it, a crisis - has developed. There just aren’t enough people with the required skills to analyze and interpret this information – transforming it from raw numerical (or other) data into actionable insights – the ultimate aim of any Big Data-driven initiative.[read more]


4 Organizations Making Meaningful Differences for Diversity in Tech

August 18, 2015 by Jonha Revesencio

Many companies will say that there is still a lot of work to be done, but the four organizations listed below are actually taking action and leading the way when it comes to diversity initiatives and opportunities for talented engineers—regardless of gender, race, or nationality.[read more]


Less Dogma Equals Better Decision Making

August 17, 2015 by Paul Barsch

Some of the biggest breakthroughs come as a result of challenging assumptions; especially those that are commonly accepted. But first you'll need to put processes, systems and people in place to continually overcome preconceived notions.[read more]


How Airlines Are Using Big Data: The Benefits and the Controversy

August 17, 2015 by Jonathan Buckley

With big data now being used in so many different industries, it should probably come as no surprise to hear commercial airlines have been adopting big data analytics to improve their own businesses. Big data can be a highly versatile tool, something that helps companies be more responsive to change and become more prepared for the future. Airlines have long seen the inherent value in this and have slowly evolved to take advantage of big data’s strengths.[read more]

Differences Between Large and Small Companies Using BYOD

August 17, 2015 by MIKE20 Governance Association

Regardless of company size, Bring-Your-Own-Device (BYOD) has become quite popular. According to Gartner, half of employers surveyed say they’re going to require workers to supply their own devices at work by 2017. Spiceworks did a similar study, finding about 61% of small to medium sized businesses were using a BYOD policy for employee devices. Businesses of all sizes are taking BYOD seriously, but are there differences in how large and small companies handle their policies?[read more]

Optimization Analytics Comes to the Mass Market

August 14, 2015 by Robert Kugel

Optimization is the application of algorithms to sets of data to guide executives and managers in making the best decisions. It’s a trending topic because using optimization technologies and techniques to better manage a variety of day-to-day business issues is becoming easier. I expect optimization, once the preserve of data scientists and operations research specialists will become mainstream in general purpose business analytics over the next five years.[read more]

How to Clean Survey Data

August 14, 2015 by Annie Pettit

As much as you’d like to dive directly into your data, the best data analysts know that garbage in garbage out will be the phrase of the day if time isn’t spent cleaning the data first. With that in mind, here are a few important steps you’ll need to take to clean your survey data.[read more]

Multistage Modeling with SAS Forecast Server Client (Part 1)

August 14, 2015 by Michael Gilliland

The rapid development of information technologies in the recent decade provides forecasters with huge amount of data, as well as massive computing capabilities. However, “sufficient” data and strong computing power do not necessarily translate into good forecasts. Different industries and products all have their unique demand patterns. There is not a one-size-fits-all forecasting model or technique.[read more]


5 Game Changers for the Modern Data Warehouse

August 13, 2015 by Rick Delgado

The technological world is moving fast, and many IT departments are scrambling to keep up with it. At the heart of most IT operations is the data warehouse, and one of the chief responsibilities of managing it is to ensure the data warehouse is kept up to date, ready to handle any new demands that arise. This task can be difficult at times, especially considering how revolutionary some advances are.[read more]