EGUIDE:
In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
EGUIDE:
Building predictive models is a complex, time-consuming process that demands a lot of skill. This expert e-guide reveals key steps to develop and implement a successful predictive analytics initiative. Discover how you can monitor the accuracy of predictive models, identify ideal candidates for predictive analytics teams, and more.
RESOURCE CENTER:
See how the SAP CRM Rapid Deployment Solution – helps organizations to get essential CRM capabilities, quickly at an affordable price and provides customers options to grow as their businesses grow
WHITE PAPER:
Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
WEBCAST:
Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.
EBOOK:
IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.
EGUIDE:
Oracle Business Intelligence Applications (OBIA) can give organizations deeper analytical views into their business performance. In this tip guide, readers will learn about five key areas organizations should focus on when implementing OBIA.
WEBCAST:
Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
