shutterstock 145949714 300x200 8 Steps to Help Business, IT Build a Big Data Strategy

8 Steps to Help Business, IT Build a Big Data Strategy

Increasingly businesses are adopting analytics to harness the growing volumes of data available about customers, competitors and new markets. For example, C-level executives are viewing analytics as a critical priority. Because of that they’re dedicating increasing resources to the deployment of new technologies to support mining data for actionable insight, according to a new report from McKinsey & Co. […]

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How to Optimize Your Data Warehouse Performance

How To Optimize Data Warehouse Performance [Cartoon]

This is a real-life quote from one data warehouse manager (only batch extracts to data marts were allowed).   Share and Enjoy • Facebook • Twitter • Delicious • LinkedIn • StumbleUpon • Add to favorites • Email • RSS Read this post in source website.

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#SBOUC2013 Developer Wars—Better Than Reality TV

A Look Behind the Scenes by Marie Alami It’s Show Time! by Avery Horzewski What do you get when you bring the Optimal Optimizers, Big Data Theory, Dashboard Divas, and Bollywood Spartans together? An evening of gospel singing, nerd talk, sassy women, and Indian dancing – all in one place, otherwise known as the Developer […]

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images Wrangling Big Data for Business Success

Wrangling Big Data for Business Success

While the digital divide was once determined by those who had new economy skills and those who did not, a new digital divide is emerging: a gap between firms that can use data to create value and those that cannot. The gap is being fueled by a dearth of data scientists and others trained in […]

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SBOUC2013 Day 2 “Frickin’ Brilliant”

“Frickin’ brilliant” pretty much sums up day two, which kicked off with Steve Lucas’s keynote –  another awe-inspiring presentation. Below are some other great quotes from his keynote: ● Big Data is simply using data that was previously ignored due to technology limitations. ● Big Data is having its cloud moment. ● We’re not playing […]

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shutterstock 75477685 150x150 Big Data Analytics to Build Intelligent Operations

Big Data Analytics to Build Intelligent Operations

It’s a common situation in many companies: processes are often kept in place without insight into their efficiencies or contributions to overarching business objectives. That’s because workers are too busy with their daily activities to have time to reflect, so they fall back on the tired philosophy of “that’s how it’s always been done.” But […]

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Dark Data Beware – #DataGeeks to the Rescue at #SBOUC2013

BOOM, POW, BRAKK! The Data Geek super heroes are here to save you…or at least that’s what I felt. We were all damsels in distress waiting for someone to save us from “The Rise of Dark Data.” Christian Rodatus looked like a super hero himself in his cool DG shirt debuting in his first keynote […]

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shutterstock 29818489 150x150 Analytics: Addressing the IT Influencer

Analytics: Addressing the ‘IT Influencer’

Recently, we’ve been running a series of posts highlighting the needs and interests of different types of analytics users within the enterprise. For instance, Brian, is a “business champion“ for a discrete manufacturer with international facilities who oversees a department that performs use-case activities. Brian needs real-time insights about emerging operational and market trends. Brian and […]

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Are You Ready to Unleash the Power of Collective Insight?

A couple of months ago I started a new blog called A Question of Analytics, although in recent weeks I’ve been a little remiss in terms of sharing my thoughts with you. I offer no excuse other than that we’ve been very busy, which is the trap many probably fall into when launching a new […]

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shutterstock 84821125 300x267 With Big Data, What’s More Important – Quality or Quantity?

With Big Data, What’s More Important – Quality or Quantity?

When companies recruit data scientists and build out their analytics teams, it’s critical for decision makers to know upfront the types of research models that the data scientists they enlist tend to favor. For instance, while some data scientists place a premium on the quality of the data being used, others are convinced that quantity […]

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