Gartner Business Intelligence & Analytics Summit

Sessions By Type

Analyst-User Roundtables

Hear how your colleagues from various industries tackle problems similar to yours. These small group discussions provide an informal setting for you and your peers to share insight, challenges and concerns on today's hottest topics.

Sessions

Roundtable: Experiences in Data Quality Improvement: What Works and What Doesn't

05 February, 2013 (13:45 - 14:45)

In this interactive session, delegates from end-user organizations will learn from others' experiences with addressing data quality issues in support of BI and analytics initiatives. By sharing major challenges and barriers, as well as approaches and tactices, participants will gain real-world ideas to apply to their own situation.

Roundtable: Getting Business and BI Team Collaboration for Real-Time Analytics

05 February, 2013 (13:45 - 14:45)

Many enterprises seek to make their operations smarter using real-time business dashboards, event processing, rule engines, predictive or other analytics. This interactive roundtable discussion will focus on best practices in getting subject matter experts from the business side to work with BI or business analytics teams.

Roundtable: Building Rapport Between Business Intelligence and Marketing Teams

06 February, 2013 (10:00 - 11:00)

Digital marketers procure much of their technology externally, often outside IT guidelines. Limitations of this practice are felt when there is a need for predictive analysis or better analytic skills, or to integrate with internal data and drive action from the analysis. Join your peers to discuss the issues and exchange best practices.

Roundtable: SAP HANA - Best Practices

06 February, 2013 (10:00 - 11:00)

Digital marketers procure much of their technology externally, often outside IT guidelines. Limitations of this practice are felt when there is a need for predictive analysis or better analytic skills, or to integrate with internal data and drive action from the analysis. Join your peers to discuss the issues and exchange best practices.

Roundtable: Being More Productive with Predictive Analytics

06 February, 2013 (14:00 - 15:00)

This roundtable session will provide attendees with the opportunity to network and share best practices and current challenges in the area of predictive analytics.

Roundtable: What is a Data Scientist and Do We Need One?

06 February, 2013 (14:00 - 15:00)

If you're considering creating a data scientist role or you already have one, please join this Gartner-led discussion, which will address questions like "what is data science" and how does it differ from the approach we've had before?"

Roundtable: From "Satisficing" to Satisfying Business Requirements

06 February, 2013 (15:15 - 16:15)

"Satisficing" is choosing the first solution that appears good enough rather than carefully identifying all possible options and determining which one is most consistent with the evidence. The participants will discuss various ways to avoid biases in framing a problem, formulating a hypothesis, selecting the right data and validating the insights.

Roundtable: Real World Experiences of BI and Analytics in the Cloud

06 February, 2013 (15:15 - 16:15)

BI and analytics in the cloud is a viable solution for some use cases, and adoption, although low, is rising. In this Gartner-led discussion we'll share experiences of what the pros, cons and trends are in this area.

Roundtable: New Kinds of Information and Their Use in Future Business Strategies

07 February, 2013 (10:30 - 11:30)

Join your peers for an analyst-hosted discussion and brainstorming on this increasingly important subject. What new kinds of information will become available to your industry because of advances in sensors, government open data initiatives or other major trends? How might these impact competitive strategies in your industry? How will you help ensure your business leaders understand what’s at stake and get that perspective recognised in the business strategy?

Roundtable: The Role of Data Discovery and the Data Warehouse

07 February, 2013 (10:30 - 11:30)

Many organizations have adopted data discovery tools to deliver more agility to their BI and analytic initiatives. Unfortunately however this approach can lead to analytic silos which undermine investments in traditional reporting and data warehouse solutions. Join your end user peers for an informal discussion on how data discovery tools can be used to augment but not replace the data warehouse.