INFORMS International Conference
Introduction to Monte Carlo and Discrete-Event Simulation
San Jose, CA
Essential Practice Skills for High-Impact Analytics Projects
DATA MINING ARTICLES
Corporate Profile: SAS
Where it’s been and where it’s headed
Corporate Profile: Analytics Operations Engineering, Inc.
Consulting firm applies advanced quantitative methods to solve challenging operations problems.
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"
Turn big data into information with high-performance analytics
High-performance analytics helps unlock significant, proprietary value in big data.
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.
Taming the data tidal wave
AHP combines business intelligence and data mining technologies with social aspects of human decision-making.
Intelligent decision support in healthcare
Applying data mining and artificial neural networks to patient data to improve decision-making.
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.
Text analytics goes mobile
Technology enables companies to make critical management decisions in a fraction of the time.
Executive Edge: Statistics make the world work better
Whether you’re a modern supermarket shopper or a subsistence farmer in an impoverished nation, statistics profoundly affect your life. And with ongoing advances in highperformance computing and the explosion of data, statistics will remain a positive social influence around the globe.
Understanding data miners
Data miner survey examines trends and reveals new insights.
Predictive Analytics: TV ads, Wanamaker’s dilemma & analytics
The journey from historical ratings to predictive decisions: A proposed evolution for buyers and sellers of television advertising.
Statistical Survey: Surrounded by uncertainty
Survey of statistical software highlights growing capability of tools designed to gain insight and mitigate risk.
Making Skies Safer: Applying analytics to aviation passenger prescreening systems
Applying analytics to aviation passenger prescreening systems.
Statistical Software Survey: A Long Way From Flip Charts
Survey of statistical software highlights a growing list of capabilities.
Business-to-business: The Evolution of Pricing
From paper reports to spreadsheets to business intelligence, smarter pricing algorithms are being developed every day. So what’s next? Real science.
Corporate Profile: McDonald’s Corp.
From the biggest to the best: Innovation, analytics play key roles as world’s largest restaurant chain shifts focus.
Business Intelligence & Modeling Systems Synergy
Integrating often-competing methodologies helps analyze and solve particularly tough problems.
Advanced Analytics for Sales & Operations Planning
Effective S&OP decision-making can’t be achieved without insights from analytics.
Software Survey: Resources for Spreadsheet Analysts
More than 180 spreadsheet analytics products point way toward better, faster, smarter.
Better Decision-Making: How HP delivers business value with enterprise-wide analytics services
A common approach to deploying business analytics across the enterprise to elevate the analytical maturity and deliver actionable intelligence.
Predictive Analytics: Managing Fundamental Tradeoffs
Three lessons demonstrate that “one click” application are too much to ask for.
Data Mining: Predicting stock price movements
INFORMS data mining contest attracts 894 participants representing 147 teams from 27 countries.
The Analytics Journey
An IBM view of the structured data analysis landscape: descriptive, predictive and prescriptive analytics.