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The Magic of Moving to Managed Services

December 1, 2016 by Annie Bustos

Despite its multiple benefits, the widespread adoption of managed IT services has stalled in recent years. A part of the explanation for the slower adoption of managed services is fairly simple. Potential customers don’t have a clear definition of what “managed services” means in the 2016/2017 landscape, and the MSPs themselves have not...[read more]

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]

Common Ground: Solving the Survey-GIS Gap

November 29, 2016 by Ron Bisio

Surveying and GIS both provide answers to the same basic questions: “Where is it?” “What is it?” “How does it relate to things around it?” “What about it is interesting or important?” And they both seek to address the most important question: “How can I get the information to people who need it?” So, given the similarities, why the gap, be it real or perceived?[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]

CIO Priorities for 2017 – Managing the Tech and Talent Challenges

November 15, 2016 by Annie Bustos

The approach of a new year brings about thoughts for the future. For CIOs, it’s a time to consider the year ahead and create a priority list for both staffing needs and the platforms and tools that will be refined or implemented. The challenge lies in finding capable team members to lead the latest initiatives and to put in place new...[read more]

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Will Predictive Analytics and POS Save Small Retailers from Extinction?

November 4, 2016 by Rehan A. Shaik

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]

From Operations to Insights: Business Analytics Meets NoSQL

November 3, 2016 by Eran Levy

Many people love NoSQL databases because they can throw their data into them without a care (almost) and let the NoSQL database sort out the storage. Writes and reads of “lumps” of data can be blazingly fast, making them favorite tools for many developers seeking performance for their applications. But analytics? If you’ve thrown in your...[read more]

After 31 Years of Spreadsheets, It’s Time to Move On

November 2, 2016 by John O'Rourke

The spreadsheet isn’t going away anytime soon. But the reliance on it as a standalone tool is waning, as the use of enterprise performance management solutions rises.It was 31 years ago this September that the world was introduced to Excel. As one of the first killer apps, there’s no question the spreadsheet changed the way everybody...[read more]

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Big Data Pitfalls That Undermine Marketing Automation Goals

October 31, 2016 by Rehan A. Shaik

According to the Lenskold Group’s 2013 Lead Generation Marketing Effectiveness Study, 49% of businesses use marketing automation. Marketing automation allows businesses to cut costs and make better informed marketing decisions.Successful marketing automation strategies are highly dependent on big data. Brands should understand the role...[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]

Big Data Grows Up at Strata+Hadoop World 2016

October 26, 2016 by Dave Menninger

I recently spent time at Strata+Hadoop World 2016 in New York. I attended this event and its predecessor, Hadoop World, off and on for the past six years. This one in New York had a different feel from previous events including the most recent event in San Jose at the end of March. Perhaps because of its location in one of the financial...[read more]

Oracle Goes All In On Cloud

October 18, 2016 by Dave Menninger

I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18...[read more]

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The Benefits of Semantic-Based Data Modeling in the Smart Data Lake Era

October 18, 2016 by Sean Martin

The driving force behind enterprise data analytics today is obtaining valuable insights more quickly from large, diverse data sets. A key issue blocking easier access for data scientists, business analysts and IT has been finding an alternative to the current data modeling process.[read more]

The New Mainstream Appeal of Apache Spark

October 13, 2016 by Rick Delgado

It wasn’t too long ago that big data was thought of as a niche concept, something reserved for only those companies that were especially tech-savvy. Fast forward a few years and the popularity of big data has increased tremendously, with businesses of all shapes and sizes using it. Such is the way with most technologies, and Apache Spark...[read more]

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Managing Data Tasks with Robotic Process Automation

October 10, 2016 by Rehan A. Shaik

Analysts predict that by 2020, Robotic Process Automation solutions will see a compounded annual growth rate of 60.5 percent. Employers are increasingly looking to robotic software to automate many of the data tasks currently completed by humans, for clear reasons, but the process isn’t as cut-and-dry as it first appears.To understand...[read more]