This paper, sponsored by IBM, looks at new developments in business analytics and discusses the benefits analyzing big data bring to the business. It also examines different types of big data workloads and offers suggestions on how to optimize systems to handle different workloads and integrate them into a single infrastructure for making smarter and faster business decisions.
White Papers & Reports
Utility companies are facing a step change in the industry from many factors at once: social and political pressures on generation, increasing data volumes from smart grid and advanced meter infrastructure (AMI) technologies and sweeping regulatory changes amongst. Evolving technology in the utilities space has generated unprecedented data volume and complexity which will continue to grow as the industry continues to transform and evolve.
This Forrester Report highlights the importance and challenges of big data for organizations, the key role business decision makers must play in leading big data initiatives, and best practices for organizations seeking to leverage big data for improved customer engagement. Vendor strategists can use this report to better understand big data demand drivers and likely adoption patterns.
According to TDWI survey data, a new flood of user organizations is currently commencing or expanding solutions for analytics with big data. The purpose of this report is to accelerate users’ understanding of the many new tools and techniques that have emerged for analytics with big data in recent years. It will also help readers map newly available options to realworld use cases.
Forrester Research, Inc. views Hadoop as "the open source heart of Big Data", regarding it as "the nucleus of the next-generation EDW [enterprise data warehouse] in the cloud," and has published its first ever The Forrester Wave (tm): Enterprise Hadoop Solutions report
Nucelus Research found that organizations can earn an incremental ROI of 241 percent by using Big Data capabilities to examine large and complex data sets. One driver of high returns on Big Data was the ability to improve business processes and decisions by increasing the types of data that can be analyzed.