INTEGRITY n n INTEGRITY Data Reengineering Environment Data

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INTEGRITY n n INTEGRITY Data Re-engineering Environment Data Quality Control, Re-purpose operational data into

INTEGRITY n n INTEGRITY Data Re-engineering Environment Data Quality Control, Re-purpose operational data into enterprise intelligence n n Uncovers information buried in freeform fields identifies relationships between data values reveals undocumented business practices discovers metadata Juyoung Kang. Database Lab

INTEGRITY AIM (Appended Intelligence Modules ) n n Easy, flexible way for businesses and

INTEGRITY AIM (Appended Intelligence Modules ) n n Easy, flexible way for businesses and organizations to enrich their data and extend their INTEGRITY solutions in a costeffective and modular manner INTEGRITY CASS AIM n n postal coding, ensuring the completeness INTEGRITY Geo. Locator AIM n associate and append spatial information Juyoung Kang. Database Lab

INTEGRITY Product & Workflow n Automates a four phase process Lexical analysis pattern processing

INTEGRITY Product & Workflow n Automates a four phase process Lexical analysis pattern processing statistical matching data streaming technologies n re-engineering processes and guides the definition and execution of pre-built and user defined procedures Juyoung Kang. Database Lab

INTEGRITY Product & Workflow Data Re-Purposing Data Warehose ERP Application CRW Mergers /Acquisitions Investigate

INTEGRITY Product & Workflow Data Re-Purposing Data Warehose ERP Application CRW Mergers /Acquisitions Investigate Standardize Match Survivorship Validate/Append Geo/spatial Financial Demographic Internal Data External Data Juyoung Kang. Database Lab Real-time( Point of interaction ) Call Center E-Commerce Contact Management Supplier Management Data Entry

Data Re-Purposing n Data Warehouse/ Operational Data Store n n ERP Migration n n

Data Re-Purposing n Data Warehouse/ Operational Data Store n n ERP Migration n n Standardize, Investigate and analyze source information, Extract the meaning of “unaddressable” entities, Consolidate related entities. Customer Relationship Management Systems n n Lexical analysis, Data enrichment, Record Consolidation Standardize, matching, linking and merging unrelated data. Mergers/Acquisitions n Identify duplicates and overlaps, standardize metadata and data field contents, match data across the systems Juyoung Kang. Database Lab

Internal & External Data Re-purposing Investigate Standardize Match Survivorship Validate/Append Geo/spatial Financial Demographic Real-Time

Internal & External Data Re-purposing Investigate Standardize Match Survivorship Validate/Append Geo/spatial Financial Demographic Real-Time Juyoung Kang. Database Lab

Success n n n n n Arbella Mutual Insurance BC Telecom Barclays Bank Browning-Ferris

Success n n n n n Arbella Mutual Insurance BC Telecom Barclays Bank Browning-Ferris Industries Co-operators J. M. Huber National Westminster Bank PEMCO Corporation Regence Blue Shield Royal Bank of Canada Juyoung Kang. Database Lab