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Analytics Magazine

Data Management

Executive Edge: It pays to modernize your data architecture

Corporate Profile: SAS
Where it’s been and where it’s headed.

Data visualization: The big picture of big data
Nextgen technologies and evolving cognitive frameworks move data visualization from art to science.

Building a high-performance big data analytics organization
To realize value from big data analytics, organizations need to integrate technology, tools and practices with existing analytics ecosystems.

Analytics in the oilfield
Properly deployed, predictive and other forms of advanced analytics can yield crucial insights for exploration and production companies.

Viewpoint: O.R. vs. analytics … and now data science?

Comprehending the complete customer
Leveraging behavioral and attitudinal data for actionable analytics.

Analyze This! Big Data: Generation Next

Chief Data Officer: New seat in the C-suite
Why and how to provide the executive stewardship your data assets deserve.

Beyond ‘Moneyball’: The rapidly evolving world of sports analytics, Part I
The rapidly evolving world of sports analytics, Part I

Analyze This!: ‘Shareholder engagement’ keys analytics teams’ success at Cisco

Business Intelligence & Modeling Systems Synergy
Integrating often-competing methodologies helps analyze and solve particularly tough problems.

Software Survey: Resources for Spreadsheet Analysts
More than 180 spreadsheet analytics products point way toward better, faster, smarter.

Executive Edge: New Frontiers for Analytics

Risk Management: Total Cost of Ownership
How to achieve significant, sustainable cost savings in the new world of integrated, enterprise-wide risk management.

The Analytics Journey
An IBM view of the structured data analysis landscape: descriptive, predictive and prescriptive analytics.

Headlines

Study: When it comes to sales & marketing analytics, few companies ‘get it right’

Companies across industries admit to the growing importance of data analytics to improve sales and marketing effectiveness and decision-making. However, many struggle to piece together siloed data, properly define the problem or design the solution. As a result, they often fail to realize widespread business impact from their efforts, according to a study conducted by The Economist Intelligence Unit (EIU) and sponsored by global sales and marketing firm ZS. Read more →

ITIF: Expand computer science education to keep up with demand

Computer skills are in high demand among employers in a wide range of industries, not just tech-related fields, yet despite growing interest in the subject, a new report from the Information Technology and Innovation Foundation (ITIF) finds that too few U.S. students are taking quality computer science classes at the high school and university levels. ITIF makes the case for public action to support and maintain the groundswell of interest in computer science and capture the economic and social benefits that will come from fostering a more highly skilled workforce. Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

INFORMS Annual Meeting
Nov. 13-16, 2016, Nashville, Tenn.

CONTINUING EDUCATION

Foundations of Modern Predictive Analytics
Nov. 17-18, 2016, Nashville, Tenn. 

SEMINARS

Data Analytics for Action & Impact: Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Aug. 18-19, 2016, Los Angeles

Predictive Analytics and Data Mining Strategic Implementation Course Series: A Comprehensive and Active Experience of the Full Modeling Practice Framework
Aug. 22-26, 2016, Los Angeles


WORKSHOPS

The Arithmetic of Uncertainty: A Cure for the Flaw of Averages
A one-day (9 a.m.-5 p.m.) workshop with optional hands-on computer lab
Sept. 14: Washington, D.C. (Crystal City)
Sept. 20: Houston
Sept. 21: Dallas
For more information and to register, click here.

CAP® EXAM SCHEDULE

CAP® Exam computer-based testing sites are available in 700 locations worldwide. Take the exam close to home and on your schedule:


 
For more information, go to 
https://www.certifiedanalytics.org.