Any enterprise information management initiative/project can leverage the InfoSphere Foundation Tools including business intelligence applications, data warehouses, master data management, application consolidation/migration, and information governance.
Trusted information provides the essential foundation for all of these projects. Armed with reliable, accurate information, organizations can confidently address key questions to drive their businesses forward.
The InfoSphere Foundation Tools can help you:
- Shorten development cycle times
- Increase operational efficiency
- Eliminate and streamline duplicate processes
- Promote team collaboration
- Decrease time to market
- Become more responsive to customer demand
- Minimize project risk
Built on an open architecture, these tools help discover, analyze, model, define, map and govern information that is spread across your enterprise, so your business can deliver the right information, to the right people, at the right time. The Foundation Tools are designed to be deployed in a heterogeneous IT environment to leverage existing IT investments. They work with any IBM or non-IBM data source, business intelligence tool or operating system -- or in conjunction with the Tools’ own comprehensive set of integration products.
The InfoSphere Foundational Tools are designed for:
- Project managers
- Data analysts
- Business analysts
- Data architects
- Subject Matter Experts
- Data/Quality stewards
- Metadata administrator
Without the ability to gain a complete understanding of existing data across departments and align that understanding with the enterprise business perspective, IT departments continue to expend excessive and duplicative amount of time searching, cleaning, transforming and pushing information- resulting in inefficiencies and slower response to growing business demand needs.
What we offer
Foundation Tool components
- IBM InfoSphere Business Glossary Anywhere
- IBM InfoSphere Metadata Workbench
- IBM InfoSphere Discovery
Five steps to getting started
The InfoSphere Foundation Tools help you understand what information you have so you can target tactical projects to gain incremental value which can positively affect your business’ bottom line. In order to this, you need a blueprint to correlate your business requirements with the information and technical assets you have across your enterprise. Once you know where you want to go, use InfoSphere Foundation Tools to assess where you are and build a blueprint for success in how to get there.
The Foundation Tools include 5 key stages to drive trusted, business optimization:
- Capture and create shared vocabulary: Create a shared, enterprise-wide common vocabulary to streamline the communication between the business and IT. This is vital to ensuring that business and technical users fully understand the meaning of critical enterprise assets.
- Analyze and discover: Understand your enterprise data sources including relationships within and across, their structure, content and quality. Existing documentation may be out-of-date or non-existent and must be validated to ensure accuracy, consistency and completeness.
- Design and optimize data models: Create or optimize your target data model for your specific project requirements, such as a data mart or an enterprise-wide data warehouse. The IBM Industry Models may be utilized as an add-on to InfoSphere Foundation Tools to accelerate this process and leverages IBM’s years of industry experience.
- Define source-to-target business rules: Leverage the information learned when analyzing the enterprise data source systems, along with the new data models and business definitions, to create specific business rules. These business rules describe how to transform data sources into a consumable format for the target application and required uses
- Govern and audit over time: Implement a framework or blueprint for defining and managing information projects, information architecture, and processes to govern information projects. This includes using a standard process to define common enterprise terminology; creating documentation for historical auditing purposes; and applying approved naming conventions and data quality auditing rules to key areas.
Contact IBM
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