Remove 2003 Remove Metrics Remove Strategy
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The secret to CIO success? Unleash your inner CEO

CIO Business Intelligence

Every business strategy and every business process is powered by tech,” Bedi says. Or it could be taking on the responsibility of the measurement of value and translating that into metrics that show up on the P&L,” says Bedi, who remains the overall leader of ServiceNow’s technology org.

Strategy 122
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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 112
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An Overview of Sales Analytics in Event Industry

BizAcuity

Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC. Sales analytics enables the event management team in visualizing their target list and then segmenting it by industry, size and other data metrics.

Sales 67
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Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

My first eMetrics summit was June 2003 and as a young inexperienced person new in the field it was a great learning experience (eMetrics in Santa Barbara were the best!). The strategy, for me, was two fold: Go figure out what sources of data, web and non-web, were needed to make decisions. ." Ok let me explain.

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Finding Data Quality

Jim Harris

In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures— Finding Nemo. These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality. Defect Prevention. Data Cleansing. Just keep cleansing.

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Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. Strategy 1: The Simplicity Obsession. Strategy 2: If Complex, Focus! Strategy 3: Venn Diagrams FTW! Strategy 4: Interactivity With Insightful End-Points.