In this series of modules, you will use IBM InfoSphere FastTrack to create an application that identifies customers with high value to your business. You will. InfoSphere FastTrack provides capabilities to automate the workflow of your data integration project. Users can track and automate multiple. IBM InfoSphere FastTrack accelerates the design time to create source-to-target mappings and to automatically generate jobs. Mappings and jobs are then.

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Because each of the acquired companies used different business terminology, the business analysts constantly revised existing term and definitions. A financial institution recently acquired several companies.

By using InfoSphere FastTrackthe IT team specified data relationships and transformations that the business analysts used to create specifications, which consist of source-to-target mappings. Creating reports These topics describe how to create reports that present data at the mapping specification level. With the job generation wizard, you can generate multiple specifications into a single job. You can also create candidate columns and terms within specifications.

The following steps illustrate the sequence of actions: Identify gold customers as level B and platinum customers as level A.

IBM InfoSphere FastTrack

These customers were neglected or not treated preferably at First Midwest. The business analysts worked extra hours creating source-to-target mappings by manually creating specifications that map customer data fasttrac, multiple targets.

Managing projects These topics describe how to create projects and modify project properties. You can specify parameters within report templates so that you can obtain specific mapping specification information tailored to your requirements. First Midwest defines two levels of high-value customers. Updating metadata or deleting metadata from the metadata repository You add, update or change the metadata in the metadata repository by performing an import.

Bank 2 also keeps track of demographic data about fsttrack in a separate table, BANK2. Business analysts use InfoSphere FastTrack to translate business requirements into a set of specifications, which data integration specialists then use to produce a data integration application that incorporates the business requirements. You can monitor recent activities of a mapping specification.


BANK 1 Holds only checking accounts. You can also save the job in the metadata repository.

Standardize information, use business terms, and create data extractions for customer marketing and service In this module, you associate customer data with business terms and create data extractions for marketing and customer service. Job generation automatically derives an extract, transform, and load flow from business requirements.

Learning objectives By completing the modules, you will learn about these functions: You can also delete metadata from the metadata repository. Now the priority of First Midwest is to regain its customer base by improving its view of customer data. By using InfoSphere Information Serverthe IT team consolidated the business category and category terms, customer metadata such as account balance and credit history data fieldsand multiple data fasthrack in the metadata repository.

The need for speed – accelerating data integration projects This white paper ihfosphere how InfoSphere FastTrack can help enterprises accelerate the deployment of data integration projects by simplifying and improving the communication process between the business analyst and the developer.

These tasks are required to build the application that identifies high-value customers:: First Midwest created a standard customer database that its subsidiaries use to represent customer data.

Time required In the first module, you set up your environment, and the time required depends on your current environment. Standardize customer name and address information and add a business term that fastttrack a level of service.

InfoSphere FastTrack information roadmap

First Midwest is a financial institution that grew by acquisition. In this module, you perform a join, add source columns based on lookup operators, and define business rules before you extract the customer information.

Generating jobs These topics describe how to generate jobs from mapping specifications. Reports You can create reports that you can distribute to authorized users.

These actions are reflected in Figure 1. Then you can associate the metadata fasttraco a project and use the metadata to map source and target columns in a project.


These lookup definitions are searchable and designed for reuse. Through the modules, you create specifications and build an application to identify gold and platinum customers for marketing and customer service. You will experience how InfoSphere FastTrack increases the ease and efficiency by which you create mapping specifications.

HTML Working with mapping specifications Importing mapping specifications These topics describe how to import mapping specifications from other application sources, modify the mapping specifications in InfoSphere FastTrackand then export the mapping specifications so that you can share your specifications with other team members. By automating the flow of information and increasing collaboration, development time is reduced.

You can also manage projects and change your server password. The Home and Mapping Specifications views provide profile and status information about specifications that are contained within projects, and access to tasks such as importing specifications, generating jobs, or publishing to a metadata repository.

The messages listed in this section describe the errors, explain why they occurred, and suggests actions that address the messages. Where InfoSphere FastTrack fits in the suite architecture You can use InfoSphere FastTrack to track and automate efforts that span multiple data integration tasks from analysis to code generation, shortening the time from business requirements to solution implementation.

InfoSphere FastTrack offers the following capabilities: You also can generate reports that provide details about mapping specifications that you create as you create the application. Integrate data from Bank 3 While you resolved issues with data in the Bank 1 and Bank 2 subsidiaries, the executive board at First Midwest acquired a new bank, Bank 3. Customers might have checking and savings accounts. You use a simple user interface to complete business requirements, track work, and then translate the specifications directly into integration code for use by the InfoSphere Information Server data integration engine.