8:00-8:30AM Registration and Breakfast – Breakfast Sponsor: Epsilon
8:30-8:35AM WSTA Introductions – Liz Lerner, WSTA Director
Today’s presentations will be available online on the agenda page at http://www.wsta.org/events/event_archive_photos
8:35-9:30AM Keynote -- “Agile Data in the Era of Big Data: Smashing Old Assumptions”
Mary Knox, Research Director, Gartner
Traditional data management practices are failing in the era of big data. Increasing volumes, speeds, varieties and complexity of data are coupled with calls for more transparency, deeper analytics, and the support of new information-rich products and services.
You need new approaches for achieving an agile data environment that can deliver competitive growth. We explore how big data and agility requirements are impacting your data governance, architecture, access and security, quality assurance, sourcing, and technology approaches, and highlight actions that you should take now.
This session will help practitioners:
· Understand the impact of big data on data agility and traditional data management practices
· Identify the key organizational, governance, architecture, process and technical imperatives
· Define specific steps they can take now to meet the demanding new data requirements
9:30-9:55AM Premier Sponsor: EMC
“Agility in Master Data Management – Create a Successful Project”
Joe DosSantos, National Practice Lead, EMC Consulting
Develop business value and create a strong, agile data management foundation. Learn how to avoid the reasons that many MDM projects fail:
· Lack of executive support
· Failure to understand MDM’s business value
· Underestimating the impact of organizational change
· Thinking of MDM as a “project”, as opposed to a strategic initiative
· Not addressing data quality, governance, and stewardship issues
Hear how a global bank and insurer developed successful MDM projects.
9:55-10:20AM “Using Distributed In-Memory Computing for Fast Data Analysis”
Dr. William L. Bain, Founder & CEO, ScaleOut Software
Popular, disk-based map/reduce frameworks can analyze very large data sets but require data retrieval from secondary storage, which limits performance. Alternatively, employing a large distributed cache to perform map/reduce on memory-based data has the twofold advantages of very high performance by minimizing data motion and a simplified programming model.
Walk-away points:
- Disk-based map/reduce frameworks can handle very large data sets but have to retrieve data from secondary storage. This can significantly increase the total time required to complete a data-parallel analysis.
- A memory-based distributed cache with integrated map/reduce can minimize data motion and deliver very high performance and scalability.
- Map/reduce using a memory-based distributed cache also offers a simplified programming model that shortens development time and integrates with popular programming languages.
- Especially with the use of cloud computing, memory-based distributed caches have the capacity to serve as a NoSQL data store holding many useful data sets.
10:20-10:45AM “Break and Demo Area Visit” - Break Sponsorship Available
10:45-11:10AM “The Myth of the 360° View of the Customer”
Jon M. Deutsch is Vice-President and Practice Principal for Banking, Financial & Insurance at Information Builders
Daniel Schultz is Director for Field Sales Support at iWay Software, a division of Information Builders
A “360° Customer View” is only one, albeit important, aspect of an enterprise’s true goal: a “360° View of Itself”. In fact, it is not achievable without it. The methods, technologies and governance required to materialize this powerful and Agile Information environment typically exceeds the expertise and capacity found in most organizations. Information Builders unveils the guidance required to achieve a “360° Enterprise View”: the roadmap, components, case histories, and the Five Pillars of Success.
Take-Aways:
· A “360° Customer View” requires that the Enterprise first create a single view of itself.
· Learn the methods, technology portfolio, and governance to deliver a “360° Enterprise View”
· Develop keen insight and ‘Lessons Learned’ from the experiences of others.
11:10-11:35AM “Agile Transformation Strategy - A Blueprint for Enterprise Success”
David Parker, Vice President and General Manager, Scrum Business Line, CollabNet
Implementation of Agile can be challenging, even for small teams. Those challenges are magnified when the implementation is enterprise-scale. CollabNet’s David Parker will offer a “blueprint” to help guide enterprises on their path to Enterprise Agility, which will address:
· Common challenges
· Cultural evolution
· Resources to ensure success
11:35-12:00Noon “Delivering a Single View of Risk with Agile Data”
David Lyle, VP Product Strategy, Informatica
The data and information needed for compliance requirements is increasing every day. Financial organizations need the ability to quickly collect, aggregate, transform, and deliver required risk data scattered across disparate systems, without undertaking expensive IT consolidation projects.
Learn how an Agile Business Intelligence (BI) approach to data integration can help you more quickly access the data needed to meet compliance and regulatory deadlines while minimizing the risk to existing data integration processes. Learn how an Agile BI approach that is based on self-service and data virtualization can help you:
· Enable analysts to instantly collaborate with IT to rapidly prototype and validate new risk reports
· Better manage and monitor systemic risk and ensure regulatory transparency
· Rapidly respond to evolving regulatory requirements, including Dodd-Frank
12:00Noon "Seminar Concludes"
Agenda and Times Subject to Change
