In this expert e-guide take away tips to optimize your business value of successful data management processes, manage the lifecycle of your information and create effective deployments.
Due to the financial meltdown in the mortgage-backed securities industry, new compliance requirements will be implemented. Read this paper to find out how organizations can ensure compliance with stricter regulations and manage risk appropriately so the business does not slip into non-compliance resulting in negative publicity or punitive fines.
In this expert e-guide, we explore key evaluation factors for selecting the right data governance tool to suit the needs of your organization. Find out which metrics matter most when it comes to picking your tool, like handling metadata objects, managing data quality, addressing unstructured data, and more.
Read this e-guide to learn how to create a commonly understood collection of data definitions within your organization that will keep your analytics optimized and in sync for improved long-term profitability.
Customer service has a profound impact on profitability. And even more, you have to think about your reputation in this age of social media. Read this informative white paper analyzing seven exciting technology innovations that can empower businesses to optimize customer service in today's multi-channel world.
This white paper considers the potential of exploiting existing data held by organizations in such a way that it can be used to generate increased revenue. It considers the issues facing organizations in terms of the quality of their master data, as well as making recommendations to achieve improved revenue management.
According to research, knowledge workers on Accounts Payable (AP) teams spend an average of 51.8 hours a week on data management functions and processes. So, how can organizations minimize this number and best review their AP strategies for perception and bottom line success? Browse this white paper to learn more.
In this Tip Guide, industry expert David Loshin will explore key business questions to consider when mapping the business users’ expectations into a realistic plan for source data selection, evaluation, preparation, and analysis.
This eBook, written for IT and data management professionals as well as business executives, will provide readers with tips and advice on how to avoid the missteps that can lead to enterprise data governance failures.
This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
