1. ® IBM Software Group © IBM Corporation IBM Information Server Understand - Information Analyzer

2. IBM Software Group IBM Information Server Delivering information you can trust Understand Cleanse Transform Deliver Discover, model, and govern information structure and content Standardize, merge, and correct information Combine and restructure information for new uses Synchronize, virtualize and move information for in-line delivery Parallel Processing ConnectivityMetadata Deployment Administration Platform Services Support for Service-Oriented Architectures 2

3. IBM Software Group 3 The IBM Solution: IBM Information Server Delivering information you can trust Cleanse Transform Deliver Parallel Processing Rich Connectivity to Applications, Data, and Content IBM Information Server Unified Deployment Unified Metadata Management Understand Information Analyzer Data profiling for understanding what data you have and how it relates to other data, plus data analysis for measuring and monitoring ongoing data quality.

4. IBM Software Group 4 Data Profiling Critical Problems:  You don’t know what data is really in your legacy systems  Sources have changed or are new and unknown Why?  Data values and relationships are inconsistent and divergent from documented rules  Incomplete and missing documentation  Data sources are never static and frequently change without warning Alternative Approach  Labor intensive, resource devouring process  Never review 100% of data elements  No infrastructure to support maintenance  No standardized approach across projects  1st generation tools document but don’t address the problem resolution Mainframe manufacturing system Demographic Contact Billing / Accounts External Lists Distribution ERP from acquisition Parts BOM Data Sources

5. IBM Software Group 5 About Information Analyzer  Automates your data discovery process  Enables you to understand your data before starting development  Eliminates the risk and uncertainty of using bad data  Useful in any type of data migration project  Analyzes every data attribute and reverse engineers the true meta data of your source  Reduces time to analyze data Mainframe manufacturing system Demographic Contact Billing / Accounts External Lists Distribution ERP from acquisition Parts BOM Data Sources

6. IBM Software Group 6 IBM Information Analyzer  Reduce Time to Value of Data Projects  Increase the Productivity of Data Personnel  Assess Data Quality & Consistency across the Enterprise  Results sharable across IBM Information Server Data Profiling: the process of analyzing a data sources to determine its content, quality and structure

7. IBM Software Group What does Information Analyzer provide?  Source System Analysis  Provides the key understanding of the source data  Column & Domain analysis  Table/Primary Key analysis  Foreign Key analysis  Cross-Domain analysis  Iterative Analysis  Leverages the analysis to facilitate iterative tests  Baseline analysis 7 Foreign Key & Cross-Domain Analysis Primary Key Analysis Column Analysis Source 1 Source 2

8. IBM Software Group Source System Analysis  Column & Domain analysis  Infers from content a column’s classification, physical properties, and frequency distribution  Table/Primary Key analysis  Validates the uniqueness of the identified key column, which allows us to ensure that a given row of data can be clearly identified and related to other data  Cross-Domain & Foreign Key analysis  Syncronizes the structure, relationships and integrity of data environments by finding and validating otherwise unknown relationships and identifying critical integrity violations that need to be rectified. 8

9. IBM Software Group Column Analysis: Tabular View 9

10. IBM Software Group Column Analysis: Chart View  Frequency Distribution  View Frequency Distribution either in Tabular or in Graph  Add user defined value to Frequency Distribution  Generate Reference Tables  Sort and Filter Frequency Data 10

11. IBM Software Group Column Analysis: Properties  Properties  Six property values are inferred for each column: Data Type, Length, Precision, Scale, Nullability and Cardinality Type.  Distribution of data types, lengths, precisions and scales is displayed graphical. 11

12. IBM Software Group Primary Key Analysis Results  Reviewing Duplicates  View Summary of Distinct and Duplicated Values  Display list of all Primary Key values and #/% Duplicated. 12

13. IBM Software Group Cross Domain Analysis Results 13

14. IBM Software Group 14  Baseline Differences  Detailed results for the column level.  Results include the column level summaries of distinctions for both Structure (Defined and Inferred) and Content. Baseline Analysis

15. IBM Software Group Sharing Analysis across Information Server 15

16. IBM Software Group 16 Company Facts : Largest distributor in North America Four major acquisitions in last two years 12,000 branded products 30,000 clients 11 operating centers Integration of supply chain management systems Profit margin analysis systems Field expansion, and take along project Staff changes and limited documentation related to acquired systems Only 7% of data being analyzed, but bad data causing 20% of cost overruns Estimate 10k hours and $650k in costs to support first four projects 80% productivity gain for analyzing data sources $504,000 annual savings in lower development and maintenance costs Repeatable process for all future projects that ensures good, actionable data Project GoalsChallenges Results ROI: Food Distribution.

17. IBM Software Group 17 ROI: Top US Life Insurance Company Competitive pressures requires the company to further enhance an existing competitive advantage – 360 degree customer view and 24\7 data availability.. Detailed customer data resided in ten disparate legacy systems with little to no documentation. Presenting raw detailed data 24\7 was impossible. Leveraging IBM allows for consistent data formats, validate data domains, define business rules linking policy data. Better customer visibility. Reduced costs by eliminating expensive and time-consuming investigations of detailed data. Redeploying an investigator saves $130k annually. Project GoalsChallengesResults Company Facts : #1 Largest Life Insurance Company in USA 138US$ billion in assets under management Offer complete like of life insurance, investment, retirement and related products

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