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Data Management

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We’re Traveling at the Speed of Cool to Creepy

August 22, 2014 by Tamara Dull

The Big Data MOPS Series.

It is no longer good enough to make the connection or get the account. The challenge now for companies/brands/apps is to demonstrate that they are trustworthy, respectable, and care about safeguarding what customers have shared with them—i.e., their personal data.[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]

Enhance Customer Retention and Acquisition Strategies with Insurance Data Analysis

August 16, 2014 by Gayle Nixon

Attacting and retain customers.

To better attract and retain customers, leading insurance companies must establish strategies that focus on improving their customers’ experience and optimizing their underwriting and pricing practices. This is easier in theory than reality as a recent study from Bain & Company concludes - insurance carriers are usually only good at one strategy, not both.[read more]

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Dear Facebook, It’s Not You, It’s Us

August 15, 2014 by Tamara Dull

The Big Data MOPS Series.

Last week, we reached our 7-year anniversary mark. Have we really been together that long?! Because, honestly, it feels like forever. I’m sorry we didn’t celebrate, but I really didn’t feel like it. Ever since you asked me for my home address a few months ago, my feelings have begun to change. You crossed a line, dude.[read more]

What Makes a Good Chief Data Officer? [INFOGRAPHIC]

August 15, 2014 by Mark van Rijmenam

Chief data officer?

The board room seating arrangement is about to change in many organisations. With the vast amounts of data being created on a daily basis and the organisations acknowledging the value in data-driven decision making, there is room for the Chief Data Officer.[read more]

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Gigascience: A Science Journal That Provides Full Data Sets

August 13, 2014 by Hallam Stevens

Gigascience.

Gigascience’s data is useful because it is shared and open. More specifically, it is valuable because it is made available for use and re-use in multiple places and in multiple contexts. The rice genomes might now be used for formulating new rice strains in Africa or for comparison with tulip genomes in Holland.[read more]

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Little Data: The 25 KPIs Everyone Must Understand

August 12, 2014 by Bernard Marr

The Big Data Guru column.

Without good KPIs it is difficult to create good big data initiatives. I spend my work life helping companies around the world with their big data and KPI initiatives and have developed a list of top level metrics I consider global best practice examples.[read more]

We Need an "Internet of Not Only Customers"

August 8, 2014 by Peter Perera

Internet for not only customers. 

The enduring purpose of a business is indisputably to create and keep customers. That bedrock was first famously laid down by Peter Drucker and Theodore Levitt sometime around the 1960s or ‘70s. Accordingly, CRM software vendors promote fixating on customers. SalesForce, for example, says create an “Internet of Customers” and become a “Customer Company.”[read more]

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Adapting to Winds of Change

August 6, 2014 by Paul Barsch

Risky Business column.

There’s much work to do before you can take advantage of cloud resources, and just-in-time planning doesn't cut it. With the flexibility, speed and power that cloud offers, there’s really no excuses to let opportunities to capture unplanned demand pass you by.[read more]

Big Data Jargon We All Need to Reign In, Right Now

August 5, 2014 by Tracey Wallace

What do you really mean by "digital," and is there really anything today that is not digital? Does digital just mean connected? Does it mean a device? What do I mean when I call a company a digital company? Do you only need have a website to be considered such?[read more]

Assisted Insight: The Future of Data Discovery

August 1, 2014 by Trevor Lohrbeer

Insight.

Data discovery tools improve upon traditional business intelligence suites--yet users still slog through piles of data to find insights. It's like finding a needle in a haystack. Instead of a better magnifying glass, users need a metal detector: assisted insight.[read more]

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Where in the World Does All this ESRI World Data Come from?

July 31, 2014 by Shawn Gordon

ESRI World Data.

ESRI does have data sets of their own that are available both for free, and for licensing. They have their own demographers who come up with various cool products like “Tapestry”, which shows life groups and their habit patterns, so you could research in there and discover NASCAR fans are good at recycling.[read more]

How to Make Your Department More Data-Friendly

July 30, 2014 by Rishi Shah

Making data accessable. 

Big data is doing big things – or it isn't. That's the general sentiment across all industries when it comes to the topic and many professionals are coming up against the same questions: Is big data worth it? Does it produce ROI? Is it just a phase? Will data become an asset? Who are the major players? Does any of it matter?[read more]

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If You Think Data Security is IT’s Responsibility, Think Again

July 23, 2014 by Tamara Dull
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The Big Data MOPS Series.

What does Ebay, Living Social and Adobe have in common? These companies, among countless others, have all experienced a significant data breach in the last year. While these breaches have cost millions of dollars to fix, they’ve also cost some executives their jobs. If you don’t think data security is important, especially in this new age of big data, think again.[read more]

Do You Have Any Rights in the Age of Big Data Analytics?

July 23, 2014 by Lachlan James

Your rights and big data.

With Big Data-related excitement on the verge of finally reaching a crescendo, many market analysts are forecasting gargantuan outlays. But, as more organizations begin to explore the potential of Big Data Analytics in greater depth, many practical, moral and legal challenges will further emerge, requiring our attention.[read more]