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Data Warehousing

iBeacons, Retail and Information Overload: How Macy's Is Kickstarting Retail's Data Warehousing Needs

November 19, 2014 by Tracey Wallace

Macy's

Macy’s is using iBeacon technology in combination with Shopkick, a location-based coupon dispenser app used by top national retailers, to finally capitalize on what those in the big data and Internet of Things industries have said was long coming: an offline data-driven retail experience.[read more]

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Reviewing the Benefits and Drawbacks of Flash Storage

November 12, 2014 by Rick Delgado

flash storage

It’s become clear that flash storage is trending upward and may one day become the dominant storage option for individuals and businesses. With this in mind, it’s important to note why flash storage has increased in popularity while also examining the drawbacks that might prevent it from receiving universal adoption.[read more]

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Storytelling with the Sounds of Big Data

November 10, 2014 by Paul Barsch

Risky Business column.

Trying to internally “sell” the merits of a big data program to your executive team? Numbers and facts probably won’t make the sales pitch complete. You will also need to appeal to the emotional side of the sale by incorporating the sounds of big data.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

Data Ownership Ushers in Dawn of the Private API

October 8, 2014 by Tracey Wallace

Data ownership.

Twitter, once the industry leader in the public API space, announced their public API 2.0 version, which is much more restrictive toward third-party developers, and is causing the shuttering of multiple startups including the popular TwitPic. Essentially, Twitter is attempting to drive more users to adopt the company’s own channels by restricting third-party users like TwitPic, ultimately resulting in better monetization and control for Twitter itself.[read more]

Descriptive, Predictive, and Prescriptive Analytics Explained

October 8, 2014 by Ray Major
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Analytics explained.

With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making.[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 1, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]

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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]