WHITE PAPER:
This whitepaper explains the importance of having a proper database management system in the age of Big Data. A good DBMS will prove accurate data to analytics and BI systems in real time.
EGUIDE:
In this tip guide, readers will learn best practices for supply chain data management to provide a successful, responsive analytics strategy for their organization.
WHITE PAPER:
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
CASE STUDY:
This case study highlights how a global marketing and intelligence agency moved mission-critical OLTP and OLAP databases off the SAN and onto an innovative system in the database servers. This eliminated I/O delays in the transactional databases and accelerated reporting times in its data warehouse.
PRODUCT DEMO:
This product demo illustrates the processes and benefits inherent in a BI solution that provides a common, unified environment that combines OLAP and relational-style analysis for a faster and more in-depth decision process.
WHITE PAPER:
Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.
EBOOK:
On a Smarter Planet, Leveraging Information is critical to achieve the insights needed in today's businesses. This book was written to describe New Intelligence for our customers and how IBM InfoSphere Warehousing and Smart System Analytics solutions contribute to a Smarter Planet.
WHITE PAPER:
This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
