See the most recent Webcasts below.
Adoption of predictive analytics has been increasing thanks to a better understanding of the value of the technology, vendors making the technology easier to use, and the availability of computing power. The uses for predictive analytics are extensive and growing. Companies want to understand customer behavior, they want to better predict failures in their equipment, and they want to deploy analytics in order to take action.
Date: November 4, 2014
Time: 9:00AM PT
Sponsored By IBM
As predictive analytics becomes increasingly mainstream, another form of advanced analytics—prescriptive analytics—is being embraced by organizations that want to turn predictive insight into action. Whereas predictive analytics helps to determine what might happen, prescriptive analytics goes further to either suggest or automatically initiate a subsequent action.
Date: October 23, 2014
Sponsored By Teradata
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
Sponsored By YarcData
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
Sponsored By Information Builders
Traditional systems development projects are process driven, and the requirements-gathering activities proceed accordingly. Business intelligence initiatives are data driven, and this requires a different approach to understanding the needs. This Webinar examines three major differences and techniques for getting requirements.
Date: November 5, 2014
Sponsored By Tableau Software
Today’s CFOs and their IT counterparts are increasingly expected to “do more with less,” providing value-added analytics while maintaining or reducing Finance and IT spend. Analytic improvement is often complicated by the complexity of fragmented financial systems. In response, leading finance departments are increasingly taking a data-driven approach using a common data warehouse and data governance processes to radically simplify their finance architectures.
Date: November 6, 2014
Big data and advanced analytics extend the traditional BI environment with new analytics solutions that enhance business decision making and operational efficiency. Examples of solutions include support for new analytics-driven operational applications, analytics accelerators, data transformation hubs, and investigative computing platforms.
Date: November 12, 2014
Sponsored By SAP
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