WHITE PAPER:
This resource offers guidance to help you navigate the business intelligence (BI) marketplace, and introduces a BI platform that can help meet your business needs. Also inside, find eight key motivators you should consider when choosing a BI tool.
CASE STUDY:
This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give.
PRESENTATION TRANSCRIPT:
According to expert analysts, 80% of data is unstructured and without the right platform, this data is essentially unusable to businesses. Read this transcript to discover how the right architecture and strategy can enable you to unlock the true value of big data.
WHITE PAPER:
Despite what some technology vendors might have you believe, big data isn't limited to data warehouse scenarios. This resource examines the growing prevalence of big data and explains how leading organizations are using all of this information to drive business success.
EGUIDE:
Access this e-guide today to find expert strategies for streamlining and mining big data. Inside, uncover major big data trends, and learn whether Agile software development and big data are a good match.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
WHITE PAPER:
This valuable resource compares the costs, benefits, and risks of two different enterprise big data deployments, providing the insight you need to drive big data success.
WHITE PAPER:
The following white paper addresses the major problems with the data influx and most importantly how to combat it. Discover techniques, criteria to abide by when choosing a search platform, and how it can benefit you and your organization quickly and efficiently.
EGUIDE:
In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
