WHITE PAPER:
This resource introduces a platform that takes the pain out of Hadoop, empowering your organization to tap into large pools of data and achieve faster, smarter decision-making.
EGUIDE:
Data grants insight into your talent's performance, but how can you use data from across the company to determine how an individual employee's performance assists in reaching your goals?
WHITE PAPER:
This brief resource introduces a platform that gives you the power to create customized BI content and embed it into applications and processes for relevant, contextualized business intelligence.
WHITE PAPER:
Access the following white IDC research paper to uncover the requirements and drivers for acquiring a data discovery platform. Also learn about the capabilities with deployment, recommendations to choose from, and more
WHITE PAPER:
Discover how integrated, end-to-end Hadoop solutions from Dell can help organizations of all sizes meet their big data requirements, reduce development costs and more.
EBOOK:
In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.
CASE STUDY:
Kennaw State University needed faster, easier data access, analysis and reporting. See how they transformed HR processes to eliminate errors, saved hundreds of hours annually on HRMS, benefits and payroll services, and how they leveraged self-service business intelligence to non-technical users.
WHITE PAPER:
The following white paper explores the importance of data visualization in deciphering growing big data volumes. Learn why spreadsheets and other conventional data display methods cause so many problems, how visualization offers a solution, technology recommendations, and more.
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.
