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Data Warehousing

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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

Intelligence Input = Sales Output

September 3, 2014 by Ray Major

Test of time.

In my experience many tech professionals, especially the executive ranks, consider themselves forward-thinkers, early adopters, one or two steps ahead, dispensers of wisdom. “If companies or consumers would just take our advice and buy our product or license our app, businesses would run better, people would be happier.” Or some variation on that theme.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

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Building Information Technology Liquidity

August 25, 2014 by Paul Barsch

Risky Business column.

In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]

Supply Chain Business Intelligence Is More Than Just Technology

August 20, 2014 by Ray Major

Supply chain BI.

Interestingly the technology implementation requires the most hard dollar costs, and returns the least in terms of ROI. The real value in Holistic BI is in garnering the corporate buy in or, in other words, training the people to make better data-driven business decisions based on the data.[read more]

We Need an "Internet of Not Only Customers"

August 8, 2014 by Peter Perera
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Internet for not only customers. 

CRM software vendors tout a similar story-line. “Focus on customers”, they all say. SalesForce, for example, advocates creating an “Internet of Customers” and become a “Customer Company”. But paradoxically, customer fixation may not be how to best improve customer growth, engagement and customer experience. If anything, establish an “Internet of Not Only Customers”. Turn into a “Connections Company”. To help pull this off, CRM software needs to be more context-aware and behave more like a graph database. Knowing customers requires also knowing all their possible contextual identities and corresponding connections to others.[read more]

How to Solve Data Fragmentation, or Why to Invest in a Distributed Data Warehouse

July 29, 2014 by Tracey Wallace

Data fragmentation.

A distributed data warehouse is a data concierge service for large companies, at which data platforms and services are fragmented, causing an inability to scale any data-driven strategies across the board. It’s about collecting big data ethically, storing it securely, making it understandable and accessible for all teams, and then putting actionability to it with ease, so that no one ever has to wait to make their data useful.[read more]

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3 Organizations That Can See the Future with Predictive Analytics

July 26, 2014 by Michele Nemschoff

Predictive analytics.

The ability to foresee the future would certainly be the ultimate competitive advantage. In reality though, no business has a crystal ball for making critical decisions. That’s why all critical business decisions have always carried a certain amount of risk. This risk has always and will always be part of the competitive game.[read more]

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Beware of Big Data Technology Zealotry

June 23, 2014 by Paul Barsch

Risky Business column.

Invariably, there are hundreds of additional arguments proffered by big data vendors and technology zealots inhabiting organizations just like yours. However, there are few crisp binary choices in technology decision making, especially in today’s heterogeneous big data environments. Beware big data zealots that counsel you otherwise.[read more]

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Creating a More Efficient Data Center

June 16, 2014 by Cameron Graham

Efficient data centers.

Once you start thinking about how much electricity it takes to power the servers that house all this information, the sheer magnitude becomes clear. To put it in perspective, one large data center can use as much electricity as a small town. What constitutes a “large” data center? A typical data center may be over 15,000 square feet.[read more]

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WOW! Big Data at Google

June 3, 2014 by Bernard Marr

The Big Data Guru column.

Google has not only significantly influenced the way we can now analyze big data (think MapReduce, BigQuery, etc.) – but they probably are more responsible than anyone else for making it part of our everyday lives. I believe that many of the innovative things Google is doing today, most companies will do in years to come.[read more]

Agile Data Warehousing

May 19, 2014 by Benjamin Harden
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Data warehousing.

The most common thing I hear is that you can’t build a warehouse using Agile because it is impossible to iterate over a data model. Modeling changes are going to happen regardless of the delivery methodology so learning to deal with change is important even if you are delivering in a waterfall environment. If change is going to happen, why not embrace it early and make it part of the way you work?[read more]

Inventory Analysis: Affordable, Available, Actionable

May 18, 2014 by Richard Thelwell

Inventory analysis.

For any manufacturer or distributor, the problem with inventory management is easily stated. Simply put, there’s often too much of the stuff that isn’t selling—and far too little of the stuff that is selling. The result? Disappointed customers, stockouts and lost sales—combined with shelves groaning with inventory that nobody wants.[read more]

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Five Things You Must Know About Data Warehouse Automation

May 1, 2014 by Ian Nicholson

Data warehouse automation.

Data Warehouse Automation tools are becoming more mainstream now for their obvious benefits:- Fast delivery times, lower cost of development, better decisions being made sooner. At last, businesses are waking up to the fact that waiting three to six months for a Business Intelligence project to complete is no longer acceptable.[read more]

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A Complete Guide to Overcoming Executives’ Concerns about Hadoop

April 13, 2014 by Michele Nemschoff
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Overcoming executives’ concerns about Hadoop.

CEOs are often critical of adopting new technology, and for good reason. New technology is expensive and all too often fails to come through and offer any real value to the company. This could present a challenge for IT managers who want to implement Apache Hadoop, the increasingly popular and cost-effective framework for large-scale, data-intensive deployments, into the company’s technology infrastructure.[read more]