Analytics
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Summer 2019: Digital leaders level up
While some companies flirt with digital transformation, experimenting with one-off projects, others make it a key pillar of their enterprise business strategies. Read on to see how some 2019 CIO 100 award-winning organizations are...
Spotify this: How Zulily targets shoppers with hyper-personalized offers
The online retailer turns squads of developers, data scientists and product managers loose to build machine learning software and other critical business capabilities.
The hot market for data science and analytics
The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets...
6 reasons why AI projects fail
Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.
10 customer experience strategies IT should target next
CIO are increasingly being asked to help attract, manage and support customers. These technologies and practices can help enhance your company’s CX and fuel revenue for your digital transformation.
Analytics helps Mercedes-AMG Petronas Motorsport F1 team take pole position
For Mercedes-AMG Petronas Motorsport, data visualization, predictive analytics, and AI were key to winning its fifth consecutive Formula One World Constructor's Championship in 2018.
UNTS focuses on culture, governance to make data work
Drowning in data it couldn't use, the University of North Texas System adopted an ambitious strategy to build a data-driven culture and the ability to apply analytics to every aspect of its operations.
AI’s top use cases today
Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.
video
How to make your own ggplot2 functions
See how easy it is to make your own functions using ggplot2, dplyr, and other tidyverse package functions – without worrying about quoted and unquoted column names! Thanks to the latest version of the rlang package, tidy evaluation is...
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How to use .SD in the data.table package
See how to use the special .SD symbol in the R data.table package.
Anatomy of an enterprise-scale AI strategy
Looking to move beyond point solutions and proofs of concept? Here’s what it takes to develop to a holistic AI strategy honed for business results.
Identifying high-risk patients with predictive analytics
NorthShore University HealthSystem's emergency departments leverage data and predictive analytics to help it determine which chest pain patients should be admitted for observation and which patients can be sent home.
What is data science? Transforming data into value
Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.
Data deletion: Your data strategy’s greatest defense
If data is the new oil, safe handling is essential to avoiding the digital equivalent of a toxic spill. It all begins with a strong data deletion policy.
Workforce analytics: Measuring employee productivity in the agile era
CIOs seeking to quantify employee performance and productivity are turning to analytics with business value benchmarks baked in — but can collaboration and agility be accurately gauged?
What it takes to hire top data science talent
To attract data science talent, you need a sound data strategy and an established data-driven environment in which data scientists can have an impact and do meaningful work.
Analytics success starts with a center of excellence
Data-driven organizations accelerate data transformation with an analytics COE.
video
Get month-over-month comparisons in R
See various ways to calculate month-over-month, week-over-week, and year-over-year comparisons in R using dplyr and lubridate.
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