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.
WHITE PAPER:
The IBM Smart Analytics System helps accelerate the delivery of insights for faster, smarter action; helps lower the cost of deriving more value from enterprise information; and features a modular architecture that enables organizations to easily add capacity and adapt to changing business needs. Check out this paper now to learn more.
WHITE PAPER:
Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.
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:
Through the years, accounting standards have changed and older processes need to be refined with the new complexities. This paper discovers how to maintain a master annual report without the risk of inaccuracies with data consolidation.
WHITE PAPER:
Organizations in all industries and of all sizes are turning to business intelligence (BI) and data warehousing (DW) technologies and services to either automate or support decision-making processes.
WHITE PAPER:
Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
WHITE PAPER:
Using a Visual Data Analytics Platform to Monitor and Manage Positions/Exposures in Real-Time Firms that engage in financial trading are exposed to counterparty risk (i.e., credit risk), market risk, and operational risk.
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.
EBOOK:
Business Intelligence and analytics remain top priorities for organizations seeking to increase revenues and cut costs, but these systems often require a data warehouse to feed them correct and relevant information. This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance.
