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Fern Halper

Next-Generation Analytics and Platforms for Business Success

More and more, companies are looking to advanced analytics to compete effectively. These analytics include predictive analytics, text analytics, geospatial analytics, big data analytics, and more. As part of this analytics ecosystem, organizations also have to contend with the infrastructure to support the analytics. Appliances, analytics platforms, and unified information architectures have become an important component of this equation. This developing analytics ecosystem can be quite complex.

Date: January 13, 2015

Time: 9:00AM PT

Fern Halper


Barry Devlin

From Data Discovery to Adaptive Decision Making

Modern business must be faster, more flexible, and more responsive than ever before. Traditional BI, focused on predefined reports and rear-view queries, no longer suffices.

Date: December 10, 2014

Time: 9:00AM PT

Barry Devlin


Philip Russom

New Directions in Enterprise IT Architecture: Achieving Business Value via New Data, Hadoop, and NoSQL

Organizations today need to manage, analyze, and visualize diverse data sources such as machines, sensors, social media, Web applications, and so on. Fully leveraging granular data from these sources drives insights into customer behavior, business operations, information security, risk management, and competition, which in turn increase growth, efficiency, and competitive success.

Date: December 2, 2014

Time: 9:00AM PT

Philip Russom


Claudia Imhoff

Enabling Statistics for Everyone: Building an Easy and Sustainable Analytics Infrastructure

The real value of a decision-making environment is not in the creation of reports or simple multi-dimensional analytics. It is in the creation and use of the more sophisticated analytics like statistics and data mining. And the way to support these critical capabilities is by extending the traditional data warehouse environment to include data sets in more fluid, less controlled components in addition to the enterprise data warehouse.

Date: November 18, 2014

Time: 9:00AM PT

Claudia Imhoff


Fern Halper

Telling a Story with Data: Skills for Both Business and Technical Analysts

Data and analytics are becoming more important than ever to businesses. However, the popularity of analytics is a double-edged sword when it comes to communicating results. Analytics professionals often fail to present results in a strong context and in a memorable, repeatable form. Some analysts have already turned to storytelling. Although results are often good, it also becomes clear that storytelling with data is both an art and a science. Its mastery improves with guidance.

Date: November 13, 2014

Time: 9:00AM PT

Fern Halper


Lyndsay Wise

5 Ways SMBs Are Putting Information to Work

In many ways small and midsize businesses (SMBs) have greater opportunity when using BI. Yes, budgets and resources may be limited, but most SMBs are not as constricted by robust IT infrastructures that control BI access and use like their enterprise counterparts. Consequently, many SMBs are empowered through their BI applications to take advantage of interactive technologies without the limitations of large-scale enterprisewide IT infrastructures.

Date: October 30, 2014

Time: 9:00AM PT

Lyndsay Wise


David Loshin

Big Data Evolution: The Big Data Platform Grows Up

The big data software ecosystem has evolved into a robust framework for developing analytics applications spanning a wide range of complexity. At the same time, big data deployments more commonly center on the platform as an expansion of the corporate file system. The concept of the data lake resonates with enterprises desiring to offload data assets into a common platform for analysis, yet the analyses often remain batch-oriented—summarizations, aggregations, and other ETL-like tasks.

Date: October 28, 2014

Time: 9:00AM PT

David Loshin


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