Revving Your Analytics Engine - Part 1: Analysis and Exploration

What is analytics? What can it do for my company? Who performs analytics? These are some of the questions we’ll address in this Webinar to provide the context for understanding analytical tools, technologies, and processes. We’ll then take a deeper dive into exploratory tools and techniques that organizations are using to better understand and communicate patterns and trends within data and take appropriate business action.

Date: 03/17/10

Time: 12:00 pm

Best Practices in Collaborative Data Integration

Collaborative data integration is a collection of user best practices and software tool functions that foster collaboration among the growing number of technical and business people involved in data integration projects and initiatives.

Date: 03/16/10

Time: 9:00 am

Revving Your Analytics Engine - Part 2: Prediction and Mining

This Webinar will review the fundamentals of analytics addressed in part 1 and types of exploratory tools that have formed the backbone of analytics for many years. This Webinar will take the next step and introduce more advanced analytical tools, including text mining, predictive analytics, and event-streaming, that promise to deliver oversized business benefits by generating actionable insights that can give companies a competitive advantage. The session will also discuss how to ramp up an analytical practice and the challenges organizations face when implementing predictive analytics and mining capabilities.

Date: 03/24/10

Time: 9:00 am

Cool BI: 2010's Emerging Innovations

The business intelligence tools market continues to bring innovations that have made BI more engaging, insightful, to an increasingly broad spectrum of users.

Date: 03/25/10

Time: 9:00 am

Sponsored By MicroStrategy

Data Integration for Data Warehousing and Data Migrations

Standard uses for data integration (DI) tools and techniques tend to divide into two broad practices areas, which we can call analytic and operational. Analytic DI usually occurs in the context of data warehousing and provides data that’s transformed for purposes of business intelligence. Operational DI usually involves operational databases and lifecycle treatments of these, such as data migrations or consolidations. It also involves the synchronization of data across related operational applications and the exchange of data between organizations in a business-to-business relationship.

Date: 03/29/10

Time: 9:00 am

Sponsored By SAP

Business Intelligence 101

Business Intelligence (BI) is the use of mathematical facts to improve business decisions. These facts typically focus on company performance across time and throughout the organization.

Date: 03/30/10

Time: 9:00 AM

Sponsored By Tableau Software

Universal Data Management: A Collaboration of Data Disciplines and Business Strategies

In most organizations today, data and other information are managed in isolated silos by independent teams using various data management tools for data integration, quality, profiling, federation, meta- and master data management, and so on.

Date: 04/07/10

Time: 9:00 am

Sponsored By ASG, DataFlux, Informatica Corporation, SAP, Talend, Teradata, Trillium Software