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Data Warehousing

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Less Dogma Equals Better Decision Making

August 17, 2015 by Paul Barsch
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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]

Automate the Boring But Essential Parts of Your Data Warehouse

August 12, 2015 by Keith Peterson

To deliver on your company’s future demands for data and insights, you will need to maintain your existing data warehouse – and add the great new capabilities available with big data management and in-memory analytics. The real opportunity is in making those technologies work together smoothly with minimum effort and risk.[read more]

Amazon's Cloud Computing Giant is Getting Closer to Full Takeover

August 7, 2015 by Xander Schofield

Not many know that Amazon Web Services, Amazon’s cloud computing franchise, is just less than a decade in age and already taking a commanding lead among its peers. Amazon has indicated that in the first quarter of 2015, it made $1.57 billion with a profit of $265 million from 2014’s $1.05 billion sales within the first quarter and a profit of $245 million. Nonetheless, Amazon Web Services’ margins had dipped to 16.9 percent from those reported in 2014’s first quarter that stood at 23.3 percent.[read more]

Want More Actionable Information from Your BI? Support Your IT Team’s Need for Data Warehouse Automation

August 6, 2015 by Keith Peterson

If your organization is relatively new to BI but has successfully built some new reports with one of the great visualization tools on the market, you will soon find yourselves in need of a better data organization environment.[read more]

Using Procurement Analytics to Simplify Your Supplier Reconciliation

July 20, 2015 by Keith Peterson

Ask finance managers to name a necessary evil of their responsibilities and many will cite reconciling goods received against invoices not received (“GR-NI”). The GR-NI issue is time-consuming to manage but not exactly mission critical to finding new business.[read more]

Challenges of Working with Big Data: Beyond the 3Vs

July 16, 2015 by Venky Ganti
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Among many challenges in working with big data, the 3V’s (Volume, Velocity, and Variety) have gotten a lot of attention. Googling yields many results worth reading. Almost all of these focus on technological challenges in managing and processing big data. In this post, I would like to highlight a different set issues that make working with big data challenging, even if the underlying infrastructure is admirably able to handle all three V’s.[read more]

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What’s an IT Data Warehouse? And Why Do You Need One?

June 19, 2015 by Sadanand Sahasrabudhe

Data warehouse.

In the course of running IT operations for your business, systems collect a wealth of data – data that can yield useful insights to help understand how you deliver services, lower costs and drive more innovation. By analyzing this data effectively, you can get a 360-degree view of the IT business.[read more]

10 Reasons Why Now Is the Time to Get into Big Data

June 12, 2015 by Rick Delgado

Big data is a key that'll explain specifically what your consumers really think about your product. Big data is even being used in medical research for companies that do personalized medicine or companion diagnostics, and need to analyze large amounts of biological data. You'll be able to use your insight to easily get a better picture of your customers based out of different geographic areas and belonging to different demographic groups.[read more]

Solving Supply Chain Risks [INFOGRAPHIC]

June 4, 2015 by Keith Peterson

This infographic provides an overview of the most prevalent supply chain risks, the departments they affect, their financial impact on your business, and how they can be resolved.[read more]

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Will You Always Save Money with Hadoop?

May 27, 2015 by Tamara Dull

The Big Data MOPS Series.

If you answered “yes” to the question posed in the title, you’re right. Because if you’re talking about the open source Apache Hadoop project (and any related open source project) , you can download the software for free, take advantage of the free licensing, and run it on low-cost commodity hardware.[read more]

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A Big Data Cheat Sheet: What Executives Want to Know

May 21, 2015 by Tamara Dull
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The Big Data MOPS Series. 

What can Hadoop do that my data warehouse can’t? The short answer is: (1) Store any and all kinds of data more cheaply and (2) process all this data more quickly (and cheaply). The longer answer is: They say that 20% of the data we deal with today is structured data. I also call this traditional, relational data. The other 80% is semi-structured or unstructured data, and this is what I call “big” data.[read more]

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5 Tips for Streamlining the Supply Chain

April 24, 2015 by Glenn Johnson

Supply chain.

Supply chain efficiency helps an organization reduce costs and speed time-to-market. Fifteen years into the new millennium, it is clear to see that advances in technology, increasing globalization and rising customer expectations have made streamlining the supply chain more important than ever.[read more]

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A Better Way to Model Data

April 21, 2015 by Mark Hargraves

Data modeling.

Over 8 years ago, the Spider Schema Data Model was created to provide an easier way to model OLTP data into a supported OLAP data model with the advantages of the OLTP data model. Over the last 8 years this data model has been proven out and is: faster at data processing, uses less storage space, is more flexible, and provides full support for not only OLAP, but OLTP, and Big Data.[read more]

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Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori

Telecommunication. 

Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]

Big Data Is Not Data Warehousing

March 9, 2015 by Martyn Jones
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Data warehousing?

Big Data is not Data Warehousing, it is not the evolution of Data Warehousing and it is not a sensible and coherent alternative to Data Warehousing. No matter what certain vendors will put in their marketing brochures or stick up their noses.[read more]