As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality

Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization

A whitepaper by Ventana Research discusses the need to combine business and technology in a unified approach for MDM implementations in diverse areas.

A whitepaper by Ventana Research describing the role and importance of partnerships between business and IT in MDM strategy

A 14-page whitepaper on how to achieve lower material costs and optimized inventory using Material Master Data Management

A 26-page information rich whitepaper on the business benefits, challenges and best practices of Material Master Data Management

UNSPSC enables preference item management, better spend analysis, supply standardization and information control. Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.

A step-by-step guide to create the right business case for all your Master Data Requirements.

An exclusive success story of a Fortune 200 enterprise. Learn how the master data management initiative delivered: . A unified view of the master data across the enterprise . Accelerated ROI realization from massive ERP investments . Inventory optimization by duplicate identification . Improved operational and process efficiencies

The 4-undying reasons to take care of during an ERP Data Migration.

A worldwide leader inSpend Management Software solutions: Zycus. Recognized as one of the Top 3 Global Market Leadersin Spend Management Domain by leading analysts and Industry observers

A worldwide leader in Spend Management Software solutions: Zycus. Recognized as one of the Top 3 Global Market Leaders in Spend Management Domain by leading analysts and Industry observers

Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.

Read this AIIM ebook to get a list of action items that will help you make the transition to content services.

This report from the Information Governance Initiative explores the challenges that five different organizations faced in reaching their information governance goals and how they overcame them.

Download this infographic to learn 5 common myths about EMR Transition and enterprise-wide information governance revealed in a survey conducted by Iron Mountain.

The volume of information in the healthcare industry continues to grow exponentially. Meaningful Use, ICD-10, and Accountable Care are all contributing to this data growth. Download this whitepaper to learn how your organization can develop strategies to effectively manage this information throughout its life cycle.

This paper examines a new paradigm for Health Information and Records Management (HIRM) and provides practical guidance to help HIM professionals unwind paper records, offload the burden of low-value production work and lead the transition from traditional records management to an optimized HIRM model.

This white paper describes findings from the first major survey of information governance practices at healthcare organizations.

This book provides a practical set of detailed steps to implement an Information Governance program, as well as the associated automation.

Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.

For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security. Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.

This report will discuss why EFSS tools will be the next- generation content management platforms. We’ll also briefly explore the emergence of Information Governance and how ECM delivers some of the required functionality.

Organizations are struggling to ensure their content is appropriately secure, while remaining easily searchable, accessible and shareable both inside and outside of the enterprise.

Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle