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Rethinking ‘Big Data’ — and the rift between business and data ops

CIO Business Intelligence

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Evidently there is value associated with merely inserting data and analytic ambitions into the multiple strategy-making processes at work in any given enterprise.

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Celebrating Women in Data Visualization & Storytelling

Juice Analytics

Nightingale was known for her love of statistics. She used her experience in nursing and love of statistics to take data and information that were collected and turn it into charts and graphs like the one below. She worked as a graphics editor from 2005 through 2016 at the NYT.

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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

Rokita has been with Edmunds for more than 18 years, starting as executive director of technology in 2005. His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams.

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Celebrating Women in Data Visualization

Juice Analytics

Nightingale was known for her love of statistics. She used her experience in nursing and love of statistics to take data and information that were collected and turn it into charts and graphs like the one below. She worked as a graphics editor from 2005 through 2016 at the NYT.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. Stolen data can be sold on the black market or used for extortion like in the case of ransomware. The instances of data breaches in the United States are rather interesting.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework. In what follows, assume we have a large number of items and people, so that the measures have little statistical uncertainty.