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Data Management

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Hygienic Hadoop Data Lakes Not Just Happenstance

February 23, 2015 by Paul Barsch

Risky Business column.

If you work with Hadoop on a daily basis you already know that data cannot simply be dumped into Hadoop’s file system and be of high value to rank and file business users. To be sure, data management is crucial if you’re planning on Hadoop serving as a true lake or “hub” for all your organization’s data.[read more]

The Establishment of Data Preparation

February 22, 2015 by Mark Smith

Data prep.

Data preparation efforts often encounter challenges created by the use of tools not designed for these tasks. Many of today’s analytics and business intelligence products do not provide enough flexibility, and data management tools for data integration are too complicated for analysts who need to interact ad hoc with data. Depending on IT staff to fill ad hoc requests takes far too long for the rapid pace of today’s business.[read more]

Digital Risk Management: Why Cyber Security Measures Aren’t Enough

February 19, 2015 by Michael McQuinn

Cyber security.

Most companies of scale have cyber security measures in place – software solutions, policies and protocols, and regular assessments conducted by IT staff members around compliance and efficacy. With these measures in place, the executive management team might feel confident that their digital data is secure – until they’re blind-sided by crisis-inducing error or a data leakage event.[read more]

Joining Multiple Sources 101: Inner and Outer Joins

February 17, 2015 by Eran Levy

Multiple data sources.

Mashing up multiple data sources to generate a single source of truth is an integral part of data analysis. It allows you to compare and cross-reference records stored in different formats and locations, and to perform queries and calculations. This article will run you through some basic concepts in data analysis that you should become familiar with when joining data stored in multiple tables.[read more]

3 Ways to Get Your Customers to Share More Data

February 17, 2015 by Larisa Bedgood

Share more data.

Consumers are more likely to give up information when they receive something in return. While low-value data like contact information is easier to get, consumers are more willing to share higher value data such as preferences, hobbies, and interests when they receive something in return.[read more]

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PII, Anonymized Data, and Big Data Privacy

February 11, 2015 by Tamara Dull

The Big Data MOPS Series.

Did you know that most Americans (87%) can be uniquely identified from just three pieces of personal data: a birth date, five-digit zip code and gender? Sort of disconcerting, right?[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]

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Why Are Mid-Market Companies Waiting to Embrace Big Data?

February 7, 2015 by Mithun Sridharan
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Big insight.

Though many companies endorse the potential benefits of Big Data, very few are actually giving this development some serious thought. Particularly, many mid-market companies view this trend with much skepticism and closely seek confirmation from their risk affine industry peers. Among the numerous factors that hamper Big Data adoption in this sector, the most dominant is the Penguin Effect.[read more]

Are You Still Torturing Your Data?

February 2, 2015 by Timo Elliott

Torturing your data.

Are you still torturing your data to get what you want? There’s now a better way. The next generation of business analytics tools include more “magic“, — in other words, they automatically analyze the data for you and make default proposals for what you might find interesting.[read more]

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Let’s Get Our Facts Straight About Big Data Privacy

January 28, 2015 by Tamara Dull

The Big Data MOPS Series. 

In this big data world in which we live, we are being forced to address privacy issues - whether we want to or not – as consumers, citizens, and employees in the private and public sectors. Let’s get our facts straight about big data privacy and help others do the same.[read more]

Business Analytics Error: Learn from Uber’s Mistake During the Sydney Terror Attack

January 24, 2015 by RK Paleru
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Uber.

Recently, as a sad day of terror ended in Sydney, a bad case of Uber’s analytical approach to pricing came to light - an “algorithm based price surge.” Uber’s algorithm driven price surge started overcharging people fleeing the Central Business District (CBD) of Sydney following the terror attack.[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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3 Data Management Tips for Winning the Rest of ACA Open Enrollment

January 16, 2015 by Jeff Brown

With open enrollment well underway, here are a few tips to make sure your data stays accurate, regardless what might be happening in the marketplaces. Some states have experienced glitches, which makes data collection and processing all the more complicated for insurers that want to make sure they have every bit of required information about their new customers.[read more]

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Is Your IT Architecture Ready for Big Data?

January 5, 2015 by Paul Barsch

Risky Business column.

Companies desperately need to assess their current situation and future business needs, and then design and deliver on a IT architecture that will deliver insights from all data types.[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]