• SENSITIVE DATA VISIBILITY AND RISK: Data Security Intelligence for Your Data Security and Management Framework

  This white paper will highlight the importance of leveraging data security intelligence for sensitive data visibility and risk assessment across your global data stores to effectively develop, improve and maintain your data security and management framework.

• FIMA: Modernizing Data Quality & Governance. Unlocking Performance & Reducing Risk

  This paper will evaluate how financial services companies are managing the challenges posed by data quality management. By analyzing which data types and data characteristics businesses are struggling with, we will uncover the true business costs associated with data quality. We will also gauge how data governance programs are maturing and how they are being measured. Finally, we will asses how data is being managed within financial institutions.

• The Next-Generation of Data Integration: Transforming Data Chaos into Breakthrough Results

  Expanding the Scope of Data Integration to Meet Emerging IT and Business Demands

• Metadata Management for Holistic Data Governance

  Using Informatica Metadata Manager & Business Glossary to govern your data and deliver better business decisions.

• Safeguarding Sensitive Data in the Federal Government

  Advancing Cybersecurity with the Informatica Solution for Data Privacy

• Safeguarding Sensitive Data in State and Local Governments

  Advancing Cybersecurity with the Informatica Solution for Data Privacy

• Secure Sensitive Data in Virtual Test Environments

  The Joint Solution of Informatica Dynamic Data Masking and NetApp FlexClone

• Test Data Management for Security and Compliance

  Reducing security risk in the era of big data.

• Informatica Dynamic Data Masking: Preventing Data Breaches with Benchmark-Proven Performance

  Benchmark study results, along with an example of Informatica's Dynamic Data Masking software in action, illustrate the software's ability to effectively secure sensitive information in real time—while enabling users to perform their jobs without disruption.

• Managing Data Growth in Oracle E-Business Suite with Data Archiving and Test Data Management

  How application ILM solutions can help your IT organization better manage the growing data volume in your Oracle E-Business Suite applications and ensure that SLAs are met while costs are controlled.

• Upgrade to Oracle E-Business Suite R12 While Controlling the Impact of Data Growth

  Written expressly for application owners responsible for the overall Oracle E-Business Suite and the R12 upgrade project, this white paper discusses: The causes and effects of accelerated data growth in an R12 upgrade;common ways to handle data growth; best practices, such as lean data management, to assist in controlling data growth; how to automate lean data management with Informatica® Application Information Lifecycle Management™ (ILM) software

• Detect and Protect: A Data-Centric Approach to Security

  As sensitive data proliferates in cloud and mobile environments, data lakes, and other big data repositories, it is posing a growing challenge to data security.

• Big Data and Beyond: Future-Proofing Data Management and Architecture Investments

  An IDG survey, commissioned by Informatica and Deloitte, providing insights on IT organizations’ data management strategies and plans to adopt advanced data management solutions.

• Data Quality: Improving the Value of Your Data

  High quality data allows greater confidence in analytic systems and decreases the time spent reconciling data. It enables a more uniform version of the truth, allowing stakeholders the ability to identify and implement necessary changes. This in turn causes companies to cut costs and increase ROI.

• Great Data – The Key to Building and Sustaining Customer Relationships

  In an ideal world, marketers would leverage their data to identify, segment, and target customers and prospects when and where they are most likely to respond, and with the best possible messaging to drive engagement, response, and sales conversations. Marketers don’t live in that ideal world. Garter finds that 82% of CMOs don’t feel prepared to deal with large sets of data. How can data enrichment help marketers get to that ideal world/overcome these challenges? See how to put data to work for you, the key challenges you need to understand, and how to solve these challenges with a strategy that combines data infrastructure and the content of your data itself.

• Data Quality Management: Beyond the Basics

  Not all data is equal. While all data may be important, it is critical to evaluate and prioritize data based on quality, usability and total value to your business mission, goals and objectives.

• Managing Master Data & Data Quality

  How to implement data quality strategies as a basis for successful product communication.

• Managing Master Data & Data Quality

  How to implement data quality strategies as a basis for successful product communication.