Human Inference - Product Update What Do I Know About My Customers

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  • Human Inference - Product Update What Do I Know About My Customers

    1. 1. What do I know about my customers? Product Update HIquality Suite 6.3 Sten Ebenau Sales Consultant March 2009
    2. 2. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    3. 3. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    4. 4. Human Inference Solutions Data Quality Data Quality on Demand MDM for Customer Data
    5. 5. Human Inference Solutions Customer Organisation = Data Quality Customer Organisation = Internet Data Quality On Demand Customer Organisation = MDM for Customer Data
    6. 6. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    7. 7. Human Inference Product Suite Sushi DQ Platform HIquality Suite 6 Flexible & Agile HIquality Base 5 DQ Lifecycle Intelligent Retrieval Name/IT itACA
    8. 8. Improvements within Suite 6 <ul><li>Possible to change DataQuality processes when there is a change in: </li></ul><ul><ul><li>Business processes </li></ul></ul><ul><ul><li>Regulations </li></ul></ul><ul><ul><li>Mergers and Take-overs </li></ul></ul><ul><li>Possible to develop DataQuality processes without deep technical knowledge of: </li></ul><ul><ul><li>DataQuality Solutions </li></ul></ul><ul><ul><li>Applications </li></ul></ul><ul><ul><li>Development skills </li></ul></ul><ul><li>Internationalization </li></ul><ul><ul><li>International data </li></ul></ul><ul><ul><li>Larger amount of data </li></ul></ul>
    9. 9. HIquality® Suite 6
    10. 10. HIquality Suite 6 Compliance <ul><li>First Time Right </li></ul><ul><li>Customer Self Service </li></ul><ul><li>Marketing Optimization </li></ul><ul><li>Agility </li></ul>Operational Excellence <ul><li>Up-Selling </li></ul><ul><li>Cross-Selling </li></ul><ul><li>Decision Support </li></ul>Customer Intimacy Master Data Data Quality Firewall Insert Party <ul><li>Basel II </li></ul><ul><li>Privacy </li></ul><ul><li>Fraud Prevention </li></ul><ul><li>Sarbanes-Oxley </li></ul><ul><li>Anti-Terrorism </li></ul><ul><li>AML </li></ul>Business Context Insert Party Business Function Business Modeling Insert Party Composition Model Deployment/ Testing Insert Party Data Quality Service Instantiate <ul><li>Network Object </li></ul><ul><li>SOAP/WSDL </li></ul><ul><li>Java Class </li></ul><ul><li>C++ Class </li></ul>Adapt
    11. 11. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    12. 12. Data Quality Life Cycle
    13. 13. HIquality® Suite 6
    14. 14. HIquality Inspect <ul><li>Measuring and analyzing </li></ul><ul><li>Identifying the data quality problems. </li></ul><ul><li>Measuring the data quality by comparing with internal and external standards. </li></ul><ul><li>“ Bad Behavior” in data use will pup up. </li></ul>
    15. 15. HIquality Transform <ul><li>Filtering and transformation of data </li></ul><ul><li>Parsing, transform and filter data which is identified by HIquality Inspect. </li></ul><ul><li>Pre-process data before actual cleansing. </li></ul><ul><li>Data Characteristics found in the inspection will drive the transformation process. </li></ul>
    16. 16. HIquality Name <ul><li>Validation, standardisation and correction of person and company names. </li></ul><ul><li>Errors in the name format will be corrected following country specific rules. </li></ul><ul><li>Corrections in capitalization and interpunction </li></ul><ul><li>Available for NL, DE, BE, GB, FR </li></ul>
    17. 17. HIquality Name <ul><li>Knowledge is needed, country specific </li></ul><ul><ul><li>First names </li></ul></ul><ul><ul><li>Family names </li></ul></ul><ul><ul><li>Titles </li></ul></ul><ul><ul><li>Academic titles </li></ul></ul><ul><ul><li>Additions, abbreviations </li></ul></ul><ul><ul><li>Company words </li></ul></ul>
    18. 18. Examples <ul><li>Int. Transp. Ond. Joh. Tilburg Hardinxv. / Giessend. e/o </li></ul><ul><li>Art Gallery Jones </li></ul><ul><li>Art G. Jones </li></ul><ul><li>prof. ing. dr. mba Ab A. B. A B jr. </li></ul>
    19. 19. HIquality Address <ul><li>Validation, correction and standardization of addresses </li></ul><ul><li>Changing address format changes </li></ul><ul><li>Avaibale for NL,DE,BE,FR,GB together with >240 countries via address WorldWide </li></ul>
    20. 20. HIquality Address <ul><li>Knowledge is needed, country specific </li></ul><ul><ul><li>Street name, street type </li></ul></ul><ul><ul><li>House number in front of behind street </li></ul></ul><ul><ul><li>House number additions </li></ul></ul><ul><ul><li>Postal code numeric or alphanumeric </li></ul></ul><ul><ul><li>Building names </li></ul></ul><ul><ul><li>Country in iso code of original language </li></ul></ul>
    21. 21. Examples <ul><li>Human Inference </li></ul><ul><li>Utrechtseweg 310 </li></ul><ul><li>NL-6812 AR Arnhem </li></ul><ul><li>LEDA Engineering LTD </li></ul><ul><li>Appleford </li></ul><ul><li>Abingdon </li></ul><ul><li>OX14 4 PG </li></ul><ul><li>Pan Josef Novak </li></ul><ul><li>Ladova 3/64 </li></ul><ul><li>251 66 SENOHRABY </li></ul><ul><li>CZ </li></ul><ul><li>Suomen Posti OY </li></ul><ul><li>Tuotteet / Mediapalvelut / </li></ul><ul><li>Osoitepalvelut </li></ul>
    22. 22. HIquality Identify <ul><li>Detection of possible duplicates </li></ul><ul><li>Identification of candidate duplicates with intelligent faulttolerant matching techniques. </li></ul><ul><li>Available for 16 European countries and the USA </li></ul>
    23. 23. The Power of Knowledge Double Doubt Unique <ul><li>HIquality </li></ul><ul><li>Single Customer View </li></ul><ul><li>Quick, not dirty </li></ul><ul><li>Little manual effort </li></ul><ul><li>Traditional </li></ul><ul><li>Reduced trust </li></ul><ul><li>Inefficient processes </li></ul><ul><li>High Manual Effort </li></ul>BMW ≠ Bayerische Motorenwerke Art Gallery Jones = Art G Jones BMW = Bayerische Motorenwerke Art Gallery Jones ≠ Art G Jones
    24. 24. HIquality Merge <ul><li>Merging records wich can be seen as identical. (identified by HIquality Identify) </li></ul><ul><li>Business rules are used to determine how the records are being merged. </li></ul>
    25. 25. Voorbeeld Operational System A Operational System B Operational System C ESB CDI Database Data model Create Read Update Delete A - 113 B - 76 C - 986 A - 113 B - 76 C - 986 Record: System B - 76 Name: J.H. Jameson Address: Gubbins Lane City: Romford Postal code: RM3 5TH Record: System C - 986 Name: John H. Jameson Address: 1, Gubbins Lane City: Romford Postal code: RM3 5TH Record: System A - 113 Name: J. Jameson Address: Gubbins Lane City: Romford Postal code: Romford J. CDI Gubbins Lane Jameson Source records (keys and attributes) Golden Record Marketing / Sales Finance Service Customer Data Records 12 1 RM3 5TH H. Romford 113 A Gubbins Lane J. Jameson Romford, RM3 5TH 76 B Gubbins Lane J.H. Jameson Romford, RM3 5TH 986 C 1, Gubbins Lane John H. Jameson
    26. 26. HIquality Enrich <ul><li>Making your data accurate and up to date. </li></ul><ul><li>Adding data to the records, such as phone numbers, Chamber of Commerce and credit information. </li></ul>
    27. 27. HIquality Report <ul><li>Reporting about the different steps done in the Data Quality life cycle </li></ul>
    28. 28. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    29. 29. HIquality Composer Other… HIquality
    30. 30. HIquality Composer <ul><li>Graphical user interface for modelling DataQuality processes. </li></ul><ul><li>Modelling and maintain compositions </li></ul><ul><ul><li>Re-use and share </li></ul></ul><ul><ul><li>Testing </li></ul></ul><ul><li>Publishing compositions as a service </li></ul><ul><ul><li>Accesible through </li></ul></ul><ul><ul><ul><li>SOAP </li></ul></ul></ul><ul><ul><ul><li>JAVA </li></ul></ul></ul><ul><ul><ul><li>.NET </li></ul></ul></ul><ul><ul><ul><li>FileConnector </li></ul></ul></ul>
    31. 31. HIquality Composer <ul><li>Demonstration </li></ul><ul><ul><li>Insert Party </li></ul></ul><ul><ul><li>Blacklist matching </li></ul></ul>
    32. 32. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    33. 33. Internationalization
    34. 34. Names Danko Basi č – Danko Basi c – Basic First – Basic Design Jan Chef d’Hotel John van Zandt - Zhiang Van Tranh
    35. 35. Naming Conventions <ul><li>Patronymic </li></ul><ul><li>Grigor Atana sov Margarit ov </li></ul><ul><li>Sergei Ivanov ich Kutsnets ov </li></ul><ul><li>Olga Ivanov na Kutsnets ova </li></ul>Olav Svenson Anna Thorgeirsdottir x Helga Nilsdottir Björn Olavson x Sven Björnson Majbritt Olavsdottir
    36. 36. Quadratestadt Mannheim
    37. 37. Quadratestadt Mannheim Mannheim 68161 16 U 5 e-starts NetSolutions & Media Design U 5 16 68161 Mannheim Mannheim 68161 8-9 S 3 mbH Videothek S 3 8-9 68161 Mannheim Mannheim 68159 15 C 4 Crack's in Eishockey und Inline Equipment C 4 15 68159 Mannheim Mannheim 68159 16 B 2 WSB & Partner Steuerberatungsgesellschaft B 2 16 68159 Mannheim Mannheim 68163 3-7 A 2 St. Hedwig-Klinik A 2 3-7 68163 Mannheim place Postal code hnr street complete address
    38. 38. Chinees voorbeeld 高为民 = “Gao Weimin” Family name Gao Given name Weimin Family name Gao Given name William 潘炜 = “ William Pan” 陈伟盛 = “Chen Weishen”
    39. 39. Het ‘nieuwe Europa’! Use of non-ANSI diacritics Cyrillic variants – Belarus, Bulgaria, Macedonia, Russia, Serbia, Ukraine Shell България ЕАД Адрес: Кв. &quot;Хаджи Димитър“ ул.&quot;Резбарска&quot; 5 София 1510 България Shell Hellas AE., Τμήμα Δημοσίων Σχέσεων, Αγ. Κυριακής & Χαρίτων 6-8, 175 64, Π. Φάληρο Shell Gas Sp. z.o.o. Adres: Ul. Modli ń ska 344 03-152 Warszawa
    40. 40. HIquality Address Worldwide <ul><li>One Solution for over 240 countries </li></ul><ul><li>Available on-premise </li></ul><ul><ul><li>Complete functionality </li></ul></ul><ul><ul><li>Reliable performance </li></ul></ul><ul><li>Available as webservice </li></ul><ul><ul><li>Low cost solution </li></ul></ul><ul><ul><li>Easy in use </li></ul></ul><ul><li>Flexibility through HIquality Composer </li></ul>
    41. 41. HIquality Address Worldwide <ul><li>Demonstration </li></ul>
    42. 42. Identify for non-Latin Character Sets <ul><li>Business is getting more international </li></ul><ul><ul><li>New EU countries are driving this </li></ul></ul><ul><li>Non-Latin data is growing every day. </li></ul><ul><li>How to match this in a mixed environment? </li></ul><ul><li>Solution </li></ul><ul><li>Transliterate non-latin to latin data with international standards in mind. </li></ul><ul><li>Intelligent matching on latin data. </li></ul>office 사무실 school 학교 industry 산업 development 개발 bank 은행 English Korean
    43. 43. Identify for non-Latin Character Sets
    44. 44. Identify for non-Latin Character Sets <ul><li>Demonstration HIquality Transliteration </li></ul>
    45. 45. The future <ul><li>There is more than only name and address. </li></ul><ul><ul><li>Email validation </li></ul></ul><ul><ul><li>Phonenumber validaton </li></ul></ul><ul><ul><li>Social Security, bancaccount validation </li></ul></ul><ul><li>Introduction of several HIquality Enrich solutions </li></ul><ul><ul><li>Blacklist matching </li></ul></ul><ul><ul><li>Chamber of Commerce </li></ul></ul><ul><ul><li>Opt-out phone number </li></ul></ul><ul><li>Introduction of the Data Improver </li></ul>
    46. 46. Agenda <ul><li>Human Inference Solutions </li></ul><ul><li>Why HIquality Suite 6 ? </li></ul><ul><li>Data Quality Lifecycle </li></ul><ul><li>HIquality Composer </li></ul><ul><li>Internationalization </li></ul><ul><li>Questions & Answers </li></ul>
    47. 47. Questions & Answers

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