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Got Bad Data? Part 2 - Applying Business Analytics Webinar Series
sponsored by SAS
WEBCAST: SAS presents part 2 of their webinar series “"Got Bad Data?”. In this latest installment, we'll be discussing the Business analytics framework, data quality as a process, data collection, following data flows and uses, data quality and metrics, and continuous learning and improvement.
Posted: 25 Jun 2009 | Premiered: Jun 25, 2009

SAS

Analytics: The Art and Science of Better Webcast
sponsored by SAS
WEBCAST: This webcast takes a look at how organizations can consider analytics from two perspectives – the science of analytics and the art of how people apply this science in new and creative ways to make the world better.
Posted: 09 Apr 2010 | Premiered: Apr 9, 2010

SAS

Focus on SAS® Enterprise Data Integration Server
sponsored by SAS
WEBCAST: The SAS® Enterprise Data Integration Server gives you the power to know how to quickly attain and manage consistent and trusted data throughout your organization. This webinar will show how this single data integration solution can consolidate vendors, respond quickly to new data integration requirements, and even reduce the overall cost...
Posted: 30 Jun 2009 | Premiered: Jun 30, 2009

SAS

2010 Applying Business Analytics Webinar- Text Analytics 101 
sponsored by SAS
WEBCAST: This webcast will highlight the critical steps and practical tips to get started on your journey incorporating text-based insights for better decisions. Learn how the latest technologies can help you seamlessly leverage text-based content, improve efficiencies and ease staff resources to add a new dimension of insight to your business initiatives.
Posted: 30 Jul 2010 | Premiered: Jul 30, 2010

SAS

Beyond the Scrum Team: Delivering "Done" at Scale
sponsored by Tasktop
WEBCAST: Watch this webcast to find out how you can derive more value from your scrum teams. Find out how to identify, anticipate, and mitigate the challenges to scaling agile development. Plus, learn how to incorporate scrum into the full product lifecycle, from development to operations and insight.
Posted: 27 Jul 2016 | Premiered: Jul 26, 2016

Tasktop

Webcast: Simplify and Accelerate Big Data Management and Analytics
sponsored by IBM
WEBCAST: Learn how the IBM PureData System provides a smarter approach. Organizations can deploy complete, ready-to-run systems optimized for analytics and transactional data workloads in hours without the complexity of custom-built systems; and tackle big data faster, simpler and at a lower cost.
Posted: 11 Sep 2013 | Premiered: Sep 11, 2013

IBM

Discover the power of big data to uncover innovation
sponsored by Hewlett-Packard Enterprise
VIDEO: This brief video introduces a big data discovery strategy that puts the power of big data in your hands – allowing you to affordably justify and prove your big data innovations before you put them to work.
Posted: 29 Oct 2013 | Premiered: 29 Oct 2013

Hewlett-Packard Enterprise

Actian Analytics Platform
sponsored by Actian Corporation
WEBCAST: This brief on-demand video introduces an analytics platform designed for today's big data 2.0 world that delivers the key capabilities you need in order to leverage all of your available data.
Posted: 07 Apr 2014 | Premiered: Jan 18, 2014

Actian Corporation

American Tire Distributors on Virtualizing Oracle
sponsored by EMC Corporation
WEBCAST: In this brief video, learn how the leading wheel and tire distribution company American Tire Distributors was able to reduce costs, improve performance, and empower scalability and agility by virtualizing its Oracle E-Business Suite tools.
Posted: 19 Apr 2013 | Premiered: Apr 19, 2013

EMC Corporation

BI Without a Data Warehouse? An Effective Strategy for Midsize Companies
sponsored by IBM
WEBCAST: In this webcast, you’ll learn about a new generation of business intelligence (BI) solutions designed to take on reporting, analysis, dashboarding, scorecarding, planning, budgeting and forecasting projects while remaining affordable.
Posted: 03 Jun 2010 | Premiered: Jun 29, 2010, 11:00 EDT (15:00 GMT)

IBM