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:
Learn about a software platform that helps companies derive more value from the complex, heterogeneous information spread across systems. Learn how to integrate disparate data and deliver trusted information wherever and whenever.
WHITE PAPER:
Improve planning, building, and deploying a master data management (MDM) environment. Consider an evolutionary – rather than revolutionary – approach to MDM, and examine how to use MDM with business intelligence applications and an underlying data warehousing environment to improve decision making.
WHITE PAPER:
This white paper examines the role of data warehousing and DB2 on System environments, and it explains how you can standardize and consolidate your existing data marts and warehouses to form a mixed workload solution.
WHITE PAPER:
This paper reviews the main issues facing today's banks, as well as an approach to designing, implementing, managing and maintaining an effective data governance support structure - all while helping banks maintain compliance to government regulations.
WHITE PAPER:
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.
WHITE PAPER:
This paper discusses key challenges facing business today driving the need for more proactive, operational business intelligence, and how an operational BI implementation impacts both traditional and business transaction enabled environments.
WHITE PAPER:
Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs.
WHITE PAPER:
This paper describes the technical limitations inherent in the architecture of traditional databases and other MPP (massive parallel processing) alternatives.
