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San Diego World Conference 2012
Chicago 2012 LIVE

BIG DATA TIPPING POINT/BI Strategies in the Era of Big Data

San Diego, CA // July 29 - August 3, 2012

Data is now being generated so quickly that organizations across all industries need new technologies to stay ahead—to understand customer behavior, detect fraud, improve processes, and accelerate performance. At the TDWI World Conference in San Diego, we’ll focus on how the Internet, social media, and streaming data are fundamentally changing business intelligence and data warehousing (BI/DW) as we know it. Big data is reaching critical mass—the tipping point.

July 2012

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Upcoming Events

Solution Summit: Big Data Analytics for Real-Time Business Advantage
San Diego, CA: June 4-6, 2012
TDWI Seminar Series - Agile BI and Analytic Symposium
Toronto, ON: Jun 25-28, 2012
World Conference 2012: Big Data Tipping Point
San Diego, CA: Jul 29–Aug 3, 2012
Executive Summit: Big Data Analytics for Better Customer Intelligence
San Diego, CA: Jul 30-Aug 1, 2012
TDWI Seminar Series - Data Modeling
Minneapolis, MN: Aug 13-16, 2012

TDWI Onsite delivers the highest quality business intelligence (BI) and data warehousing (DW) education directly to your office. Get Onsite Education!

Latest Publications

What Works Volume 33

TDWI's What Works in Data Management offers more than 30 pages of fresh, topically focused customer success stories and expert perspectives designed to enhance your understanding of the tools, technologies, and methods that are central to data management today. Download What Works now!
TDWI Checklist Report: Strategic Planning for Big Data Management
This TDWI Checklist Report provides grounding for developing a strategic business intelligence (BI) plan for agility when adopting innovative data management and utilization techniques, while retaining a line of sight to corporate mission and corresponding business objectives.
TDWI's Best of Business Intelligence Volume 9
In this issue of the Best of Business Intelligence, Stephen Swoyer calls 2011 “the year in which social media emerged as one of several forces … that will fundamentally transform BI as we know it.” Plus, TDWI Research analysts Philip Russom and David Stodder share predictions for 2012.
Next Generation Master Data Management
Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. This report accelerates users’ understanding of the many new user best practices, solutions, and tools that have emerged as next generation MDM. It also helps readers map their options to real-world use cases and develop a strategy for MDM.
TDWI Checklist Report: Data Replication for Real-Time Data Warehousing and Analytics
This TDWI Checklist Report gives data replication the recognition it deserves, as a highly useful data integration technique for real-world applications in business intelligence (BI), data warehousing (DW), analytics, and general data management. But not all replication tools are created equal, and this report explains which capabilities you should look for in a tool.
Ten Mistakes to Avoid When Validating Your Business Intelligence or Data Warehousing Direction
Jonathan Geiger describes 10 common errors to avoid as you validate your current business intelligence or data warehousing direction.

Latest News Articles

The Certified Business Intelligence Professional (CBIP) is the industry's leading BI/DW certification. Get CBIP Certified!

Webinar Series

Real-Time Data Integration: An Infrastructure That Enables Fast-Paced Business
According to TDWI’s Next Generation Data Integration survey, the types of data integration functionality that are seeing the hottest adoption and growth today are those forms that involve real-time operation. May 16, 2012
Data Analytics and Interactive Gaming - Opportunities to Influence Consumer Behavior
Tween interactive social world such as Club Penguin, Webkinz, Poptropica, and numerous others provide environments for children to play games, interact with each other, earn virtual money, and spend that virtual money on a variety of items. May 22, 2012
Faster, Must Go Faster: The Need for Operational BI
Business intelligence (BI) applications are playing an ever increasing and important role in driving and optimizing daily business operations. This trend is leading to major changes in both the functionality and the usability of BI-related technologies and products May 23, 2012
Visual Discovery Beyond the Hype
A picture can paint a thousand numbers and broaden the appeal of BI tools. Specialty BI vendors are growing at a rapid pace and visual discovery has become a critical component of the BI platform. May 30, 2012
Real-Time Monitoring of Events for Business Insight
Companies in every industry operate in relation to a continuous sequence of many events – products are manufactured, sales are made, inventory is tracked, or packages are shipped. While there is no need to be notified when events happen as planned, when anomalies occur (such as a snow storm that prevents delivery), the organizations that receive early notification have an advantage over those that do not. May 31, 2012
Pervasive Analytics – Building Analytics into Everyday Business Activities
Early adopters used business intelligence for operational reporting or analyses that guided strategic decision-making, supporting senior managers but largely ignoring the hundreds, if not thousands of decision-making opportunities presented each day. June 5, 2012

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Channels by Topic

Agile BI »
Includes:
- Agile
- Scoping
- Principles
- Iterations
- Scrum
- Testing
Big Data Analytics »
Includes:
- Advanced Analytics
- Diverse Data Types
- Massive Volumes
- Real-time/Streaming
- Hadoop
- MapReduce
Business Analytics »
Includes:
- Advanced Analytics
- Predictive
- Customer
- Spatial
- Text Mining
- Big Data
Business Intelligence »
Includes:
- Agile
- In-memory
- Search
- Real-time
- SaaS
- Open source
Data Analysis and Design »
Includes:
- Business Requirements
- Metrics
- KPIs
- Rules
- Models
- Dimensions
- Testing
Data Management »
Includes:
- Data Quality
- Integration
- Governance
- Profiling
- Monitoring
- ETL
- CDI
- Master Data Management
- Analytic/Operational
Data Warehousing »
Includes:
- Platforms
- Architectures
- Appliances
- Spreadmarts
- Databases
- Services
Performance Management »
Includes:
- Dashboards, Scorecards
- Measures
- Objectives
- Compliance
- Profitability
- Cost Management
Program Management »
Includes:
- Leadership
- Planning
- Team-Building
- Staffing
- Scoping
- Road Maps
- BPM, CRM, SCM
Master Data Management »
Includes:
- Business Definitions
- Sharing
- Integration
- ETL, EAI, EII
- Replication
- Data Governance

Solutions Gateways

TDWI Partners

Experts Corner

Philip Russom
is director of TDWI Research for data management and oversees many of TDWI’s research-oriented publications, services, and events. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group, and was a contributing editor for leading IT magazines.
Read his blog or view more
David Stodder
is director of TDWI Research for business intelligence. As an analyst, writer, and researcher, he has provided thought leadership on key topics in BI, analytics, IT, and information management for over two decades.
View more

Philip's Latest Blog Posts

Big Data: We Need A Broader, Less Biased Definition May 1, 2012
Next Generation Master Data Management: An Overview in 35 Tweets April 13, 2012
Next Generation MDM – Executive Summary March 30, 2012
The Top Ten Priorities for Next Generation MDM March 16, 2012
The Three Core Activities of MDM (part 3) March 2, 2012
The Three Core Activities of MDM (part 2) February 17, 2012
The Three Core Activities of MDM (part 1) February 3, 2012
Big Data Analytics: 2012 New Year's Predictions January 23, 2012
Big Data Analytics: An Overview in 20 Tweets December 7, 2011
Master Data Management: Rules for the Next Generation November 17, 2011
Big Data Analytics: The News from Informatica November 2, 2011
Big Data Analytics: The News from Teradata September 22, 2011
Master Data Management Can Learn from Data Quality September 8, 2011
The State of Multi-Data-Domain Master Data Management (MDM) August 24, 2011
Advanced Analytics versus Online Analytic Processing (OLAP) August 5, 2011
Big Data Analytics: Avoid the Analytic Cul-De-Sac July 21, 2011
Big Data Analytics: Preparing Analytic Data Differs from ETL for Data Warehousing July 12, 2011
Big Data Analytics: The View from SAP June 27, 2011
Big Data Analytics: Frequently Asked Questions (FAQ) June 21, 2011
The Three Vs of Big Data Analytics: VELOCITY June 17, 2011
The Three Vs of Big Data Analytics: VARIETY June 14, 2011
The Three Vs of Big Data Analytics: VOLUME June 9, 2011
Big Data Analytics: The View from Kognitio May 31, 2011
Big Data Analytics: The View from Tableau Software May 19, 2011
Big Data Analytics: The View from Cloudera May 12, 2011
Big Data Analytics: For Many, It’s a Departmental Affair May 10, 2011
The Intersection of Big Data and Advanced Analytics April 25, 2011
FAQ: Next Generation Data Integration April 19, 2011
Themes and Insights from the TDWI Solution Summit on Master Data, Quality and Governance March 14, 2011

David's Latest Blog Posts

To See and Be Seen: Social Media Data and Customer Intelligence April 12, 2012
Big Data, Big Mobile, and a Big New Year January 5, 2012
It's All in the Memory: New Battleground for BI and Analytics September 15, 2011
Going Mobile with BI and Analytics September 9, 2011
Agile BI and DW: Dynamic, Continuous, and Never Done July 14, 2011
Big Data: Something Borrowed, Something Blue May 17, 2011
Teradata Expands Into Big Data March 11, 2011

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