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.
EBOOK:
This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.
WHITE PAPER:
This white paper lists the top benefits for adopting an EMC Isilon scale-out storage solution for Hadoop analytics. This solution will lower operating and capital costs while allowing for more big data analytics capabilities
WHITE PAPER:
This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
WHITE PAPER:
Access the following white paper to learn how data visualization can drastically improve how well a company can handle data. Learn how visualization can help dig deeper into data, grant an improved market presence, and more.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
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.
WHITE PAPER:
This white paper introduces a customized learning assessment work package that extends the value of one business intelligence and performance management platform by teaching your business users the skills they need to drive success.
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.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
