Executive Edge: It pays to modernize your data architecture
In today’s world where data is collected at every interaction, be it over the phone, mobile, PC, sensors, with or without us knowing, it becomes important to have a strategy around data.
Cognitive computing for automating customer knowledge
If your customer relationship management (CRM) system could actually think, would Elon Musk and other AI detractors want to kill it?
Predictive analytics in the publishing industry
The transformation of traditional print media and the growing intelligence behind monetization strategies
Executive Edge: Democratization and crowdsourcing
Creating value in an era of pervasive analytics and cheap computing.
Building human curiosity into artificial intelligence
How neuro-dynamic programming enables smart machines to think ahead.
Predicting patient experience with narrative data: a healthcare goldmine
Networks vs. fraud: Connecting the dots
Well-constructed analytical models useful in thwarting fraudsters who often collaborate, thus setting up complex but revealing patterns of behavior.
Unified analytics: A new mastery over the data wave
Data is exploding. And it is not necessarily a good thing. Organizations feel like they are “drinking water from the fire hose.” There are difficulties, not only in managing data but also in trying to generate benefits from the data.
Internet of Things analytics
Welcome to the ‘We Economy’: Finding the business in your data
Data visualization: The big picture of big data
Realizing how quickly we understand what we see makes data visualization a key component of better decision-making.
Executive Edge: Machine learning unleashes big data potential
The art of putting fragmented, often disconnected data sources together to generate actionable insights for the enterprise.
Big data needs advanced analytics, but analytics does not need big data.
Employing big data and analytics to reduce fraud
Building a high-performance big data analytics organization
“From Twitter feeds to photo streams to RFID pings, the big data universe is rapidly expanding, providing unprecedented opportunities to understand the present and peer into the future. Tapping its potential while avoiding its pitfalls doesn’t take magic; it takes a roadmap.” — Chris Berdik, author of “Mind over Mind”
Exploring big data through simulation
The Winter Simulation Conference (WSC) has been the premier international forum for disseminating recent advances in the field of system simulation for more than 40 years, with the principal focus being discrete-event simulation and combined discrete-continuous simulation.
Analyze This!: Dark side of the digital world
Big data, unintended consequences: What Amazon’s domination of the book publishing industry could portend.
Why do so many analytics projects fail?
Key considerations for deep analytics on big data, learning and insights.
Data Scientists in Demand
‘It’s their time to shine’
Analytics transforms a ‘dinosaur’
The story of how IBM not only survived but thrived by realizing business value from big data.
Using analytics to make powerful business decisions
Big data is a hot topic, but harnessing its full potential can be elusive.
The big ‘V’ of big data
Keys to tapping the hidden “value” of big data.
Deriving value from tweets, blog posts and call center logs.
Turning big data into information
High-performance analytics helps unlock significant, proprietary value in big data.
Analytics Power Player
PAW founder Eric Siegel discusses the power of predictive analytics, privacy issues, his new book and what the future may hold for analytics professionals and consumers.
Executive Edge: What makes a good data scientist?
Four things to look for when building an analytics team.
Forum: Problem solving with data
Many collect data, few know what to do with it. The core skill business professionals need to know.
Comprehending the complete customer
Leveraging behavioral and attitudinal data for actionable analytics.
Integrating data mining and forecasting
The Dow Chemical approach to leveraging time-series data and demand sensing.
Big data, analytics and elections
Obama team’s all-front campaign leveraged Web, mobile, TV, social media and analytics.
Images & videos: really big data
Sizing up the potential impact of prescriptive analytics driven by proliferation of images and video
How big data is changing the oil & gas industry
The advent of the “digital oil field” helps produce cost-effective energy while addressing safety and environmental concerns.
Driving profitability with retail analytics
How to make choices and investments that deliver on expectations.
Leveraging Big Data around customers
Opportunity to deliver real-time customer insights by harnessing the power of structured and unstructured data.
Analytics & big data: skeptics vs. enthusiasts
The acceptance of analytics to tackle issues related to big data is going through growing pains, pitting skeptics, who are typically older and shaped by managing when errors were tolerated, against younger enthusiasts.
Executive Edge: The times they are a changin’ for advanced analytics
Statistical modelers urged to embrace machine learning, open-source tools for the road ahead.
Analytics & the future of healthcare
Market-driven reform already shifting emphasis from volume to value as industry leaders weigh in on what’s next.
Analyze This!: Standardized analytical solutions
Expect to see more and more models and analyses based on mathematical and/or statistical techniques embedded in packaged (rather than custom) software applications. Moreover, this packaged software is likely to cost far, far less than a custom solution crafted by an analytic professional.
Supply Chain Management: New math, big data
Across the supply chain, manufacturers and retailers are exploiting the “vital raw material of the information economy.“