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The Doctor Is In: The Role of the Data Scientist for Analyzing Big Data

No profession is getting more attention these days than that of the “data scientist.” Data scientists have made the covers of business magazines and are practically rock stars at online companies such as Google, Facebook, and LinkedIn.

Date: May 21, 2013

Time: 9:00AM PT

David Stodder


Managing the Mayhem of Mobile BI

Apple defined a new category of computing with the release of the Apple iPad. It also reinvigorated the BI market with visually attractive dashboards on every tablet. Mobile BI promises to make BI more immediate and accessible for executives and field workers alike.

Date: May 23, 2013

Time: 9:00AM PT

Cindi Howson


Do You Need to Be a Data Scientist to Analyze Text?

There has been a lot of discussion and debate recently about big data, big data analytics, and the role of the data scientist. Part of the discussion revolves around the skills required to be a data scientist, who is supposed to possess statistical or quantitative model-building skills, computer science skills to deal with new and diverse technologies, business savvy and acumen, and subject matter expertise.

Date: May 29, 2013

Time: 9:00AM PT

Fern Halper


Boost Your Data Warehouse and Analytics Environments with “Fresh” Data

To help business users make better and faster decisions, your business intelligence (BI), data warehousing (DW), and analytics environments should provide access to the most current information residing in your operational systems.

Date: May 30, 2013

Time: 9:00AM PT

Philip Russom


Realizing the Potential of In-Memory Computing for BI and Analytics

For business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis caused by having to go to disk. Using expanded main memory opens up a much larger territory for running analytic functions against data locally, and for reports and analytic models that demand real-time data.

Date: June 12, 2013

Time: 9:00AM PT

David Stodder


The New Architecture for a Modern BI Environment: Answering the Challenge of Growing Sources of BI Data

Data, data everywhere … Today’s BI implementation experts are faced with increasing volumes and sources of data (on premises and off), new and innovative technologies, more complex data integration and quality issues, and difficulties maintaining and enhancing these diverse BI architectures.

Date: June 13, 2013

Time: 9:00AM PT

Claudia Imhoff


Data Governance: A Business Opportunity the Business Can No Longer Ignore

Certainly, every business leader wants to have trusted, secure, consistent, and usable information, but data volumes and systems complexity have been increasing for years. Plus, most organizations rarely prioritize data governance, so why care now?

Date: June 18, 2013

Time: 9:00AM PT

Claudia Imhoff


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