WHITE PAPER:
This valuable report examines the critical role of data integration in driving big data success. Read on to learn about the current state of data integration, the key challenges of big data, and more.
EZINE:
Companies aren't gaining enough value from big data. That's why there's a greater need to establish data handling policies and procedures that only good data governance programs can provide. Explore good use vs. abuse of customer data (Wells Fargo, Target, and Bank of America), 4 data governance concerns and best practices, and much more.
sponsored by EMC IT Solutions India Private Limited
WHITE PAPER:
This white paper details how a new solution can be used to support a Hadoop data analytics workflow. It describes the core components involved as well as highlights the benefits that can be leveraged to gain reliable business insight quickly and efficiently while maintaining simplicity to meet the storage requirements of an evolving workflow.
WHITE PAPER:
The following IDC white paper explores the role that the CIO and IT group play in enabling, supporting, and leading analytics programs and projects within their organizations. Uncover the 4 big myths that can be hurting your analytics effectiveness, how to fix IT and line of business disconnect, and more.
EBOOK:
This expert e-book chapter will provide IT, BI and analytics managers with information on the current state of big data adoption and advice on how to prepare for and launch projects. Inside, you'll discover key issues to consider in the big data technology evaluation and selection process.
EZINE:
The hype around data mining may have receded, but it remains a critical discipline for the data scientist. This issue of CW Europe looks at what exactly data mining is, how and when it is used – and why it should not be mistaken for business analytics.
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.
