Free your data from its application silos. Pin down the data that’s here today and gone tomorrow. Find the data you’re looking for—quickly. Understand it—thoroughly. Access it—easily. Get it the way you need it, when you need it, and where you need it—seamlessly.

Informatica Data Services transforms the way your IT organization works. It makes finding, integrating, and managing data across the enterprise fast, easy, and cost-effective.

Informatica Data Services extends the existing data services capabilities of the Informatica Platform to provision trusted data to any application, at any latency, using any protocol from a single, unified platform.

With Informatica Data Services, your IT organization can:

• Build sophisticated and reusable data services once and deploy them for all the many ways data is needed
• Quickly find and understand all data—regardless of its type or location
• Centrally manage service-level agreements (SLAs) and enforce data services policies

Multimodal Data Provisioning Services
Execute a wide range of data services on a single, unified platform. Access, cleanse, transform, and deliver trusted data at any latency, in any protocol and shape, to any location—in different applications, in your partners’ systems, or even in the cloud. Informatica Data Services uses a model-driven approach for developing, managing, and maintaining data services. This approach is based on real-world representations of all kinds of data—such as customer or product data. Your IT organization can build a data service once and deploy it to many consuming applications, but insulate the applications from needing to know how data services are technically implemented “under the covers.”

Universal Data Discovery Services
Quit searching endlessly for the data you need to get the job done. Informatica Data Services provides rich access to metadata through a comprehensive information catalog, so you can quickly find and access all the data you need—regardless of its type or location. Integrated profiling services help you fully understand your data and identify data issues early so you can accurately scope out data integration projects.

Policy-Based Data Services Governance
Declare, enforce, and manage all data services policies—including those for data quality, freshness, and privacy—from one central place. With Informatica 9, your IT organization can meet your data services SLAs and compliance requirements while keeping maintenance costs low and data quality levels high.

Multimodal Data Provisioning Services

Logical Data Objects

• Use an open, model-driven approach to build reusable logical data objects based on business entities (e.g., customer, product, order)
• Reuse data integration and data quality logic for all applications and projects to eliminate redundant work
• Choose to provision data physically or virtually and specify the latency without rebuilding
• Create a data abstraction layer that enables all applications to consume the same data regardless of how the data logic is physically implemented
• Isolate applications and other data consumers from changes in data sources

Single Platform

• Leverage a single, unified platform to access, cleanse, transform, and deliver trusted data in any:

• Latency (e.g., real time, changed data, batch)
• Protocol (e.g., federated SQL, Web services, messaging, event-based alerts, ETL)
• Shape (e.g., format, structure)
• Location (e.g., within the enterprise, in any partner system, in the cloud)

• Leverage a rich set of prebuilt data transformations for traditional ETL, data quality, and data privacy, as well as for industry format conversions

• Develop and reuse the same data transformation logic, regardless of whether it’s deployed via data federation, ETL, or Web services

Integrated Data Federation

• Source and combine data from multiple heterogeneous data sources in real time, so that it appears as a single data source to consuming applications
• Create a virtual view of data with an integrated data federation engine and design tool that supports standard data consumer protocols, caching, and optimizations
• Get real-time access to transient and operational information

Integrated Data Quality

• Leverage native data quality transformations (e.g., cleansing, enrichment, matching, standardization) within a single platform
• Execute data quality as a service in real time, without having to preprocess or physically consolidate the data
• Apply data quality rules to federated data

Business-IT Collaboration

• Align business requirements with implementation early in the data integration process by using purpose-built interfaces and common metadata
• Share data rules, data profiles, and data quality dashboards among all users
• Streamline communications between the business and IT with sharable bookmarks and comments

Universal Data Discovery Services

Information Catalog Services

• View the comprehensive information catalog for the entire enterprise from a single place
• Use open, standards-based access to quickly find your data, regardless of its type or location:

• Unstructured, structured, or archived
• Inside the enterprise, in partners’ systems, or in the cloud

• Simply point to a data source and pull in the appropriate metadata

Integrated Profiling Services

• Understand the structure and quality of all data using data profiling available as a service to enrich the information catalog with valuable metadata
• Accurately scope out data integration projects based on understanding the data and identifying data quality issues that need to be addressed
• Perform midstream profiling, which enables you to apply a rule and immediately see and profile the resulting data
• Share profiling results with business users to ensure their requirements are being met

Policy-Based Data Services Governance

• Centrally manage policies for all data services in a single, unified environment to consistently meet SLAs

Data Rules

• Declare policies and rules for quality, freshness, and privacy for all data
• Use a single environment to manage policies and rules to consistently meet SLAs

Informatica Data Services Benefits

Speed Delivery of Data Integration Projects

• Keep up with rapidly changing business requirements by using a single platform to deliver data immediately
• Roll out data integration projects up to three times faster with a single engine for both virtual and physical data integration
• Quickly integrate new corporate entities after a merger or acquisition by accessing the new entity’s data virtually and combining it with your own for a single view of all financial, product, and customer data
• Deliver a single, trusted view of the customer in just days or weeks by rapidly discovering and understanding all your customer data sources and then quickly creating a single virtual view without having to move physical data around
• Avoid endless searches for the right data with the information catalog services
• Reduce delays and miscommunications among business users, architects, and developers through purpose-built interfaces and common metadata that align business requirements with implementation

Boost IT Productivity

• Reuse data integration and data quality logic for all your applications and projects to eliminate redundant work
• Rather than having to code things in different ways with different tools, use a single platform to deliver data for a variety of users and applications—such as accounting, ERP, customer portals, forecasting analytics, and business intelligence
• Increase your productivity fivefold by reusing model-driven data services based on logical data objects
• Involve business users in the data integration process earlier, which accelerates project rollout and minimizes rework
• Provide developers with a rich set of prebuilt data transformations to enhance their productivity

Lower Development and Maintenance Costs

• Simplify your IT infrastructure by standardizing on a single set of skills and a single platform that provides both data integration and data quality services to support all data integration projects
• Cut development and maintenance costs in half by providing integrated complex data transformations and data cleansing along with SQL-based access and intelligent caching
• Drastically reduce the cost of change by insulating applications from underlying data changes
• Lower the cost of maintenance with a single point for managing your data services policies

Reduce Risk

• Know (rather than hope) that your data will meet SLAs and compliance requirements by easily setting and consistently enforcing policies for how clean data must be, how sensitive data must be secured, or even how long data must be retained
• Prevent dirty data from contaminating applications and systems with integrated data quality capabilities
• Reduce the risk of outages and the costs of accessing data by relying on a data integration platform that’s proven for enterprise-grade deployments