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:
In this expert e-guide, explore the reasons many businesses are hesitant to put BI systems in the cloud, including security and compliance concerns, and why the time to start evaluating BI in the cloud is now. Read now to discover Wayne Eckerson's top six considerations before jumping into a cloud BI project.
WHITE PAPER:
In this informative resource, you'll learn how to easily use Excel to extract data from your database in a way that facilitates further analysis and uses standard Excel functions. Discover the 12 functions your database must support in order to turn Excel into an advanced BI tool.
EZINE:
For companies tapping into mountains of amassed data, enterprise business analytics breathes new life into the old axiom "There's gold in them thar hills."
WHITE PAPER:
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
EBOOK:
Based on a survey of more than 3,000 IT and business professionals, this exclusive benchmark report provides insights on predictive analytics deployment trends. Uncover key findings on implementation status, project steps, most important features, and much more to guide your own analytics strategy.
WHITE PAPER:
Did you know that enterprises typically only use 10% of their data for analytics and decision-making? Is your business letting so much of its data go unused? To get the most value out of corporate data assets, forward-thinking organizations are looking for the right tools -- namely business intelligence (BI) and analytics applications.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
