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Business Intelligence

Minding the KPI Gap – A Critical Part of the EPM Process

November 30, 2016 by John O'Rourke

Key performance indicators, or KPIs, are a critical component of an overall corporate or enterprise performance management (CPM/EPM) process. They play an important part in monitoring financial and operational results on a regular basis, and highlighting areas that might need attention. But there are many considerations here:...[read more]

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Five Data Preparation and Analytics Predictions for 2017

November 29, 2016 by Jon Pilkington

 Believe it or not, 2017 is fast approaching. And while 2016 was a breakthrough year in the self-service data preparation and analytics world, 2017 will bring just as many – if not more – innovations that continue to transform how data scientists, data analysts, and business users harness insights to deliver business value and...[read more]

The Alibaba, Amazon, and eBay Way to Black Friday Success

November 23, 2016 by Eran Levy

On Black Friday in 2015, online shoppers spent an estimated $2.7 billion. So, when do you think the big E-guys start to prepare for Black Friday? Here’s one hint: e-commerce sales on Thanksgiving Day, 2015, already totaled $1.73 billion (Adobe Digital Index figures.) Here’s another hint. The National Retail Federation recently stated...[read more]

Report: AWS launching cloud-based machine learning service

November 22, 2016 by CIO Dive

Amazon Web Services is reportedly launching its own artificial intelligence service to tie into its cloud offerings[read more]

Are You Ready For Artificially-Intelligent Enterprise Applications?

November 18, 2016 by Timo Elliott

We’re now clearly in an exponential technology world. Each year brings the same amount of innovation as the previous several years — and the human brain finds it hard to imagine the consequences.For perhaps the first time in history, technology is evolving faster than we expect it to. For example, experts estimated that it...[read more]

Information Is Now The Core Of Your Business

November 14, 2016 by Timo Elliott

Data is at the very core of the business models of the future – and this means wrenching change for some organizations.We tend to think of our information systems as a foundation layer that supports the “real” business of the organization – for example, by providing the information executives need to steer the business and make the right...[read more]

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The Analytics Software Learning Curve – How Steep Should You Go?

November 10, 2016 by Paco Darcey

There are a few different, and sometimes opposing forces in analytics software which make the process of evaluating, purchasing, implementing and using BI software products a complex process. The rapid pace of unstructured and structured data growth in many companies requires a reporting system which is sophisticated and powerful for:...[read more]

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4 Ways You Can Use Big Data to Market to Millennials in 2017

November 7, 2016 by Rehan Sheikh

Millennials are making a huge impact on the world. Since passing the Baby Boomers in population in 2012, it was forecasted that business practices needed to shift their marketing strategies soon. Well, ‘soon’ has arrived and by 2017, you’ll need to focus your marketing more toward this generation.Big data is going to be a key factor in...[read more]

6 key areas to examine in any BI solution

November 4, 2016 by Joe Stangarone

Business Intelligence solutions have grown rapidly over the last few years. The modern business now has more BI tools than ever to choose from. How can you select the right BI tool? What elements should they look for? In this article, we explore a few not-so-obvious areas you can’t ignore when choosing a BI solution.[read more]

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Will Predictive Analytics and POS Save Small Retailers from Extinction?

November 4, 2016 by Rehan Sheikh

Global brick-and-mortar retailers are struggling to compete against their digital rivals. Smaller retailers have been suffering the most, because they can’t compete on the same margins as larger competitors. Some experts have warned that small retailers will eventually be extinct. According to Marc Bain:“In a recent survey (pdf), 58% of...[read more]

Even after Dyn DDoS attack, businesses shouldn't ditch DNS providers, analyst says

November 3, 2016 by CIO Dive

Dive Brief:Businesses should not dump their DNS service providers simply because of the massive DDoS attack on Dyn last month, says Gartner analyst Bob Gill in an interview with CIO. Instead, Gill suggests businesses concerned about DDoS attacks ensure their critical websites rely on more than one DNS provider.The...[read more]

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Hybrid Systems Integrations for Right Sized ERP

November 2, 2016 by Glenn Johnson

Finding the right integration strategy across ERP, CRM, Warehouse Management, PLM and cloud environments[read more]

Why I’m Teaching Twitch to Predict the Future

October 31, 2016 by Daniel Hernandez-Stewart

Predicting the future is not a theoretical superpower. It is a skill we already rely on to make decisions, and like any other skill it can be rapidly improved with deliberate practice. Unsurprisingly, deliberate practice looks like making predictions within a domain and comparing the results to reality. This year I’ve built a culture of doing just that at Twitch. It’s the most exciting work I’ve ever done.[read more]

Enterprise Risk Management and EPM – Separate or Joined at the Hip?

October 27, 2016 by John O'Rourke

Enterprise risk management (ERM) and enterprise performance management (EPM) are often discussed as separate topics.  But when you think about ERM in the broader, operational context, the linkages between the two become more evident. I recently attended the Argyle CFO Leadership Forum in Dallas as a speaker and...[read more]

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How Big Data is Aiding in Disaster Relief

October 19, 2016 by Ryan Ayers

When it comes to disaster preparedness, predicting disasters is one of the biggest problems governments have. That is where big data technology and predictive analytics step in and provide the solution. Over recent years, big data has been able to help scientists and disaster aid agencies narrow down to the hardest hit areas.[read more]