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Data Warehousing

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]

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The Data Lake Debate: The Introduction

March 6, 2015 by Jill Dyché
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Data Lake Debate column.

Will filling up your data lake will help or hurt the cause? On the one hand, a data lake full of raw, multi-structured, and heterogeneous data from across systems and business processes, could be the proverbial “single version of truth” that up until now had just been the unconsummated hope of many an executive.[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]

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]

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The World’s Largest, Fastest, Most Agile Supply Chain

December 31, 2014 by Keith Peterson

Supply chain.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.[read more]