It’s time to find and fix the data quality problems—wherever they are—that cost your company millions. Clean the data, and keep it clean. Leave no domain, no application, no geography uncovered. Get all the right people on board. Help them take responsibility.

It’s time for Informatica 9.

Informatica 9 empowers line-of-business managers, data stewards, and business analysts to identify bad data and fix it faster. Informatica 9 delivers pervasive data quality to all stakeholders, all projects, and all applications, so your company can trust all its data, for all its needs, all the time.

The pervasive data quality capabilities of Informatica 9 allow the business to:

• Proactively cleanse the data for all applications and keep it clean
• Share in the responsibility for data quality and data governance
• Build confidence and trust in enterprise data

Unified, Role-Specific Tools for All Stakeholders
Informatica 9 makes the business more self-sufficient and IT more productive. Line-of-business managers, business analysts, and data stewards can participate more proactively in data quality processes. They can analyze data and define data rules themselves—decreasing dependence on limited IT resources—using a set of simple, browser-based tools designed specifically for them. IT organizations get a single, unified, highly productive environment for data profiling, cleansing, and managing data quality rules that can be reused across all data integration projects.

Comprehensive Support for All Data and All Purposes
Informatica 9 takes data quality everywhere. Highly accurate global matching and address cleansing—with locale–aware, prebuilt rules and reference data—extends data quality to any geography. Apply data quality to any datatype—customer, product, financial, and asset. And reuse data quality rules across all kinds of data integration and data quality projects.

Open to All Applications
Informatica 9 leaves no application out. Connect to any type of data source with proven data integration technology. Then use centralized data quality rules to enhance data quality in all applications—no matter what kind of data they contain or whether they are capturing, moving, or consuming the data. SOA-based data quality services prevent low-quality data at the point of entry or for scheduled batch processes.

Pervasive Data Quality Benefits

For Business Executives/Sponsors

• Give ownership of the data to the people who understand it best—your business managers, analysts, and data stewards
• See the cost and impact of poor data quality on your business applications
• Decrease dependence on limited IT resources—quit waiting weeks or months for the trusted data you need
• Boost efficiency and reduce costs by identifying all data quality issues, measuring all data quality levels, and cleansing data in all applications
• Solve problems faster—such as modernizing the business, attracting and retaining customers, and improving compliance reporting—by basing initiatives on high-quality data

For CIOs

• Roll out IT projects faster, better, and cheaper by:
  
  

• Eliminating wasteful iterations spent trying to understand business requirements
• Providing business analysts and data stewards with tools to define data rules themselves, reducing reliance on IT
• Giving IT developers prebuilt rules for matching and address cleansing
  
  

• Accelerate the deployment of common data quality rules across all applications, and decrease costs through reuse
• Raise and maintain confidence in all data, regardless of datatype or location, by implementing sustainable data quality processes across the enterprise
• Support data governance by enforcing consistency in the way data quality rules are applied across all applications

For Enterprise Architects

• Boost efficiency and keep costs down by standardizing on a single platform that provides customer matching and address validation across global deployments
• Enable IT developers to use a single development environment to build data transformations and data quality rules
• Implement reusable data quality services for all applications across the enterprise, with partners, and even in the cloud
• Establish and enforce data governance policies and service-level agreements for data quality
• Eliminate redundant data quality tools, slash license and maintenance costs, and share skills and knowledge across projects

For Directors/Vice Presidents of Enterprise Applications

• Minimize the risk of implementations—and realize ROI faster—by providing consistent, accurate, and complete data to all enterprise applications
• Ensure that the data within applications can be trusted by giving the business the authority and ability to profile data and set data quality rules
• Provide the support and tools for the business and IT to work together to measure and maintain high-quality application data

For Directors/Vice Presidents of Data Warehousing

• Quickly source, transform, and deliver high-quality data to meet decision support needs of the business
• Prevent duplicate and bad data from entering the data warehouse
• Maintain high-quality data in the data warehouse by making data quality issues visible to warehouse customers and data source owners

For Directors/Vice Presidents of IT Operations

• Simplify system maintenance and administration by using a single platform and single set of data quality tools across departments and projects
• Decrease system downtime/outages by relying on a data integration platform proven to handle mission-critical enterprise operations