Informatica Scores 5 out of 5 in Data Governance and Stewardship; Data Profiling and Monitoring; Integration and Processing; and Product Strategy
Informatica, the world’s number one independent 
software provider focused on delivering transformative innovation for the future of all things data, today announced that Forrester Research, Inc., a leading independent technology and market research company, has positioned Informatica as a Leader in The Forrester Wave™: Data Quality Solutions, 2015.
The complete report, including The Forrester Wave graphic, is available at: http://informatica.com/forrester-wave-data-quality-solutions.html.
In the report, Forrester scored vendors across 30 criteria within three high-level areas, including Current Offering, Strategy and Market Presence. With a score of five being the highest, Informatica received the highest score possible in the categories of Data Governance and Stewardship; Data Profiling and Monitoring; Integration and Processing; Market Development Strategy; Product Strategy; Installed Base; and Product Revenues.
The Forrester Wave for Data Quality Solutions noted, “The data quality solutions market is growing because more enterprise architecture professionals see data quality as a way to address their top challenges.” The report also declared, “As older technology becomes outdated and less effective, improved support for cloud, big data, and machine learning will dictate which providers will lead the pack.”
Acknowledging that “the No. 1 risk of poor data quality is that it will negatively affect the customer experience,” and citing today’s “diverse customer data ecosystem,” the report stated that “data quality tools have to account for more complex and sophisticated data challenges at scale and on demand.”
Forrester analysts identified Informatica as one of the companies that “lead the pack” and said that “Leaders provide a robust and complete set of capabilities that embrace the core principle of data quality governance.” The report also stated that, “The [Informatica] solution supports big data and cloud through connectivity and deployment services, and further developments in these areas are well underway.” The report observed, “Future releases will simplify cloud deployments with a single hybrid solution and utilize Apache Spark and YARN directly to scale big data deployments.”
Informatica Data Quality delivers unique services, methodology and solutions to align IT architectures with business strategies, with an emphasis on repeatable data governance processes and accessibility for business users and data stewards. Through Informatica Vibe, data quality rules are able to be defined once and deployed anywhere business needs dictate – in the cloud, on-premise or on Hadoop – so organizations can proactively monitor and improve the quality of their data in a consistent and reusable fashion regardless of underlying platforms and technologies. Additionally, Informatica’s ease-of-use empowers non-technical users, such as information stewards and business analysts, to share in the responsibility for data quality and data governance across the enterprise. The latest enhancements to Informatica Data Quality were recently announced with Informatica v10 and Informatica Big Data Management.
“Great data does not happen by accident. It takes great strategy and great products that provide clean, high-quality data regardless of size, format, platform, or technology, and that ensure consistent quality throughout data’s lifecycle,” said Rob Karel, vice president, Product Strategy and Marketing, Information Quality Solutions, Informatica. “We believe being positioned as a Leader by Forrester in this report illustrates our commitment to helping organizations create, manage and use great data. Informatica will continue to invest in order to make advances in holistic data governance, data quality collaboration, business user self-service, and data quality processing performance. These advances will help further users’ trust in their data and effectively address the burgeoning range of data types, platforms, workloads and data quality use cases.”
