• Dynamic Data Masking

  Data Protection for Data Privacy and Security

• Informatica Persistent Data Masking

  Protect Personal and Sensitive Data With Data Masking

• Informatica Data Engineering Quality

  Deliver Fit-For-Purpose Big Data, With Scalable, Role-Based Data Quality

• Informatica Data Integration Hub

  Accelerate Data-Driven Digital Transformation with a Modern Data Hub

• Informatica Data Integration Hub

  Accelerate data-driven digital transformation with a data hub.

• Informatica Data Quality

  Informatica Data Quality enables organizations to profile, standardize, cleanse, measure and monitor the overall quality of their data.

• Informatica Data Engineering Integration

  Ingest and Integrate More Big Data Quickly and Easily With Machine Learning

• Informatica Data Archive

  Intelligently Manage Application Data

• The Cost of Bad Contact Data: A Workbook to Define and Present the Business Case for Contact Data Verification

  Trusted contact data is a game-changer for organizations trying to improve their customer experiences. The Cost of Bad Contact Data workbook is full of facts, stats, and practical exercises to help you build the business case for a more intelligent approach to handling your customer data: contact data verification.

• 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.

• 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.

• Reimagine Data Governance: Creating Context with Data Discovery and Data Catalog

  It comes as no surprise that the volumes and complexities of data are projected to continue to increase over the next few years. At the same time market disruption and important business initiatives drive the need for trusted, governed data to succeed with data-driven digital transformation.Organizations are rapidly realizing how much of a struggle it is to keep pace with these changes and keep track of their data assets. Not just because of regulations like GDPR, there is a need to know where the sensitive and personal data assets are, and how they move around the organization.Data Discovery is the use of technologies designed to find and keep track of data assets, especially when data volumes and complexities are so significant. Finding data is only the first part of the challenge; making sense of it all and understanding data context is equally important. Without data context, how can data consumers know whether the data they’re looking at is the right data or fit for purpose?In ...

• Reimagine Data Governance: Data Governance. Meet Data Security.

  With organizations collecting an ever-increasing volume of data, the risk of a data breach or falling foul of a regulator is also increasing. Data security, privacy and protection is fast becoming a “must have” requirement within many data programs. Organizations are starting to realize that there are potentially great synergies in having a much closer understanding of their data from both a governance and security viewpoint. Add in Artificial Intelligence and automation for remediation, together these capabilities are proving to be significant allies in the continuous battle of cyber-security and enabling Data Governance programs. This webinar explores how these two worlds can now better understand the role that each has to play, in supporting and protecting their organization. As part of the Reimagine Data Governance series of webinars, Informatica will demonstrate how having a closer relationship between the worlds of governance and security can enhance existing data use and data...

• Reimagine Data Governance: Data Governance. Meet Data Security.

  With organizations collecting an ever-increasing volume of data, the risk of a data breach or falling foul of a regulator is also increasing. Data security, privacy and protection is fast becoming a “must have” requirement within many data programs. Organizations are starting to realize that there are potentially great synergies in having a much closer understanding of their data from both a governance and security viewpoint. Add in Artificial Intelligence and automation for remediation, together these capabilities are proving to be significant allies in the continuous battle of cyber-security and enabling Data Governance programs. This webinar explores how these two worlds can now better understand the role that each has to play, in supporting and protecting their organization. As part of the Reimagine Data Governance series of webinars, Informatica will demonstrate how having a closer relationship between the worlds of governance and security can enhance existing data use and data...

• Data Integration Hub for Master Data Management

  Accelerate Master Data Implementations in Complex Data Integration Environments With Data Integration Hub

• Turning a Data Lake into a Data Marketplace

  A data marketplace is a new type of information management architecture that extends traditional notions of data lakes to combine a standardized and industrialized process for curating raw data assets into trusted information, with a collaborative and self-service mode of engagement with end users so that data consumers can quickly and easily shop for the data they need.

• How to Tackle Federal Data Strategy w/ Data Inventory & Cataloging

  Policy mandates and initiatives such as the Federal Data Strategy are moving agencies to become better stewards of data. But how can you deliver on mission outcomes with data? Building a Federal Data Strategy can never be a “one and done” initiative. Instead, it’s a process that continually evolves as your Agency’s goals and challenges change.

• Big Data Demands Big Data Quality

  Why data quality is critical to deliver actionable big data insights