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Philip Russom

The Intersection of Big Data and Analytics

The term “big data” has arisen in recent years to describe multi-terabyte datasets. Big data certainly has its challenges, relative to scalability and data management. But it’s also useful for business intelligence purposes.

Date: May 5, 2011

Time: 9:00AM

Philip Russom

Barry Devlin

Seven Steps to Rejuvenating your Strategic BI

Remember Executive Information Systems (EIS)? What ever happened to them and why did they never catch on? Linking business strategy to operational execution is even more important for senior executives today and business intelligence can now help.

Date: May 10, 2011

Time: 9:00AM

Barry Devlin

Philip Russom

Agile Data Integration: Accelerating Data Provisioning via Data Services and Self Service

Agile development methods originated to speed up the development of code-laden procedural logic for operational and transactional applications that automate a business process. Applying a similar methodology to make data integration more agile has severe challenges.

Date: May 11, 2011

Time: 9:00AM

Philip Russom

Philip Russom

Data Warehouse Packages: Quick, Mature, and Extensible

Do you need a new data warehouse (DW) and business intelligence (BI) solution? Perhaps this will be your organization’s first solution. Or maybe it’s a replacement for a system that’s reached the end of its lifecycle.

Date: May 19, 2011

Time: 9:00AM

Philip Russom

Claudia Imhoff

Fix It Yourself: Improving and Monitoring the Quality of Your Data

Overruns, account errors, audits, theft, missing inventory, overtime pay, employment discrimination, government regulations, and compliance rules. Any and all of these explain why data quality is critical to a business.

Date: May 24, 2011

Time: 9:00AM

Claudia Imhoff

Philip Russom

Consolidating Data Warehousing Workloads Onto A Private Cloud

One of the greatest challenges for data warehouse (DW) platforms and architectures today is that they must accommodate multiple, diverse workloads. Such diverse DW workloads support standard and specialty reports (dashboards, scorecards), basic analytics (OLAP), advanced analytics (mining, predictive), departmental analytics (data marts), and data staging (operational data stores (ODSs) for detailed source data or real-time data feeds), plus operational business intelligence and other real-time business practices.

Date: May 25, 2011

Time: 9:00AM

Philip Russom

Claudia Imhoff

Trends That Are Changing BI Economics

Customers are dealing with an explosion in the volume, variety and velocity of their information. They need insight from ever-growing data to make better and faster decisions that optimize their business outcomes.

Date: May 26, 2011

Time: 9:00AM

Claudia Imhoff

David Loshin

Reducing Impacts to Operations through Enterprise Information Management

The historical evolution of an organization’s application infrastructure usually reflects organic growth, with application requirement gathering focused on functional needs rather than information expectations.

Date: June 2, 2011

Time: 9:00AM

David Loshin

Philip Russom

Data Governance Strategies: Helping your Organization Comply, Integrate, and Transform

Any time data crosses an organizational boundary, it should be governed, whether you’re sharing data among business units internally or publishing data to customers, partners, auditors, and regulatory bodies externally.

Date: June 15, 2011

Time: 9:00AM

Philip Russom

Emerging BI Best Practices

The ground is shifting beneath business intelligence. Users are adopting mobile platforms, a trend that introduces an exciting new form factor for BI but also new challenges for information management.

Date: June 21, 2011

Time: 9:00AM

David Stodder

 

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