Copyright 2007, Information Builders. Slide 1 JOIN, MATCH and MORE– Making the Connections Walter F. Blood Technical Director, FOCUS Division May, 2011

Copyright 2007, Information Builders. Slide 2 JOIN, MATCH and MORE Basic Choices Employee Data Department Data Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data When your report requires data from many different sources… …you need JOIN, MATCH or MORE to make the connections!

Copyright 2007, Information Builders. Slide 3 JOIN, MATCH and MORE Basic Choices ? Equal fields or Conditions ? Real Fields or Virtual Fields ? One-to-One or One-to-Many ? Inclusive or exclusive ? FOCUS Managed or Interface Managed ? Same or different file types Each connction involves many choices:

Copyright 2007, Information Builders. Slide 4 JOIN, MATCH and MORE JOIN – the Nested Loop Nested Loop AB C

Copyright 2007, Information Builders. Slide 5 JOIN, MATCH and MORE JOIN - Basic Characteristics JOIN treats multiple structures as one Employee Data Department Data Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data  Connects data sources based on fields or conditions  Creates a vertical concatenation  Excludes only comma, tab and token delimited files  Maximum 1022 active JOINS  JOINed structure maximum 1024 segments  JOINed record maximum 32K

Copyright 2007, Information Builders. Slide 6 JOIN, MATCH and MORE Equal JOIN Syntax LONG FORM JOIN field1 [ AND field2 …] [TAG tagname] IN file1 TO [ALL] fielda [AND fieldb…] IN file2 [TAG tagname] AS joinname END SHORT FORM JOIN field1 IN file1 TO [ALL] field2 IN file2 AS name Employee Data Departm entData Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data JOIN EMPID IN EMPLOYEE TO EMPID IN DEPARTMENT AS JEMP

Copyright 2007, Information Builders. Slide 7 JOIN, MATCH and MORE Equal JOIN Syntax - DEFINE LONG FORM JOIN field1 WITH fieldname [TAG tagname] IN file1 TO [ALL] fielda IN file2 [TAG tagname] AS joinname END SHORT FORM JOIN field1 WITH field IN file1 TO [ALL] field2 IN file2 Employee Data Departm entData Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data JOIN INVID WITH PRDID IN PRODUCT TO INVID IN INVOICES AS INV DEFINE FILE PRODUCT INVID/A25=EDIT(&YMD) | PRDID; … JOIN INVID WITH PRDID IN PRODUCT TO INVID IN INVOICES AS INV DEFINE FILE PRODUCT INVID/A25=EDIT(&YMD) | PRDID; …

Copyright 2007, Information Builders. Slide 8 JOIN, MATCH and MORE JOINS – Direct INNER/LEFT OUTER Join JOIN {LEFT_OUTER/INNER} field {AND field …} IN hostfile {TAG tagname} TO {UNIQUE/MULTIPLE} crfield {AND crfield … } IN crfile {TAG tagname} AS joinname END JOIN {LEFT_OUTER/INNER} field {AND field …} IN hostfile {TAG tagname} TO {UNIQUE/MULTIPLE} crfield {AND crfield … } IN crfile {TAG tagname} AS joinname END Equal JOIN JOIN {LEFT_OUTER/INNER} deffield WITH field IN hostfile {TAG tagname} TO {UNIQUE/MULTIPLE} crfield IN crfile {TAG tagname} AS joinname END JOIN {LEFT_OUTER/INNER} deffield WITH field IN hostfile {TAG tagname} TO {UNIQUE/MULTIPLE} crfield IN crfile {TAG tagname} AS joinname END Equal JOIN – DEFINE based

Copyright 2007, Information Builders. Slide 9 JOIN, MATCH and MORE Equal JOIN Rules TO sqltable  Multiple target fields may be specified  Indexes are not required, but preferred  Many-to-many supported TO sqltable  Multiple target fields may be specified  Indexes are not required, but preferred  Many-to-many supported TO FOCUS/XFOCUS file  Only single target field may be specified  Target field must be indexed  Many-to-many NOT supported TO FOCUS/XFOCUS file  Only single target field may be specified  Target field must be indexed  Many-to-many NOT supported All rules are determined by the SUFFIX of the TO file

Copyright 2007, Information Builders. Slide 10 JOIN – Making the Connection Equal JOIN Rules TO Indexed Files  Target field -- primary key/alternate index  Multiple target fields may be specified  High-order elements of key or alternate index  Many-to-many supported TO Indexed Files  Target field -- primary key/alternate index  Multiple target fields may be specified  High-order elements of key or alternate index  Many-to-many supported TO FIX/sequential files  Multiple target fields NOT supported  Many-to-many NOT supported  Both files must be sorted in ascending order on the JOIN keys TO FIX/sequential files  Multiple target fields NOT supported  Many-to-many NOT supported  Both files must be sorted in ascending order on the JOIN keys All rules are determined by the SUFFIX of the TO file

Copyright 2007, Information Builders. Slide 11 JOIN, MATCH and MORE Equal JOIN Syntax  Multiple Fields - Field1 AND field2 …  Up to four fields may be specified  TAG tagname  Tagname becomes a prefix for fully qualifying fields in specified file  joinname (default is blank)  Identifies JOIN for the session  Another JOIN with the same name will overlay  Specified JOIN can be CLEARed

Copyright 2007, Information Builders. Slide 12 JOIN, MATCH and MORE DEFINE-Based JOIN JOIN fieldname WITH field IN file1 …  Multiple field JOIN not supported  WITH field must be a “real” field in the host file  DEFINE field ONLY on the host file – must be real field on the cross-reference file  SET KEEPDEFINES = ON to use a dynamic DEFINE specified before the JOIN SET KEEPDEFINES = ON DEFINE FILE CAR CONT/A10 = … END JOIN CONT WITH COUNTRY IN CAR TO CONTINENT IN WORLD AS AJ SET KEEPDEFINES = ON DEFINE FILE CAR CONT/A10 = … END JOIN CONT WITH COUNTRY IN CAR TO CONTINENT IN WORLD AS AJ

Copyright 2007, Information Builders. Slide 13 JOIN, MATCH and MORE Conditional JOINs Syntax JOIN FILE from_file AT from_field [TAG from_tag ] TO {ALL|ONE} FILE to_file AT to_field [TAG to_tag] [AS as_name] [WHERE expression1 ; WHERE expression2 ;... ; ] END Employee Data Departm entData Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data JOIN FILE EMPLOYEE AT EMPID TO ALL FILE CAR AT SEATS AS J1 WHERE RETAIL_COST LE SALARY * 3; END JOIN FILE EMPLOYEE AT EMPID TO ALL FILE CAR AT SEATS AS J1 WHERE RETAIL_COST LE SALARY * 3; END

Copyright 2007, Information Builders. Slide 14 JOIN, MATCH and MORE JOINS –Direct INNER/LEFT OUTER Join JOIN {LEFT_OUTER/INNER} hostfile AT hfld1 {TAG tagname} TO {UNIQUE/MULTIPLE} crfile AT crfld {TAG tagname} AS joinname {WHERE expression1; {WHERE expression2:} END JOIN {LEFT_OUTER/INNER} hostfile AT hfld1 {TAG tagname} TO {UNIQUE/MULTIPLE} crfile AT crfld {TAG tagname} AS joinname {WHERE expression1; {WHERE expression2:} END Conditional JOIN

Copyright 2007, Information Builders. Slide 15 JOIN, MATCH and MORE Conditional JOINs Rules and Caveats The conditional JOIN is supported for  FOCUS  VSAM  ADABAS  IMS  All relational data sources Optimization of the conditional JOIN syntax depends on  Specific data sources involved in the JOIN  Complexity of the WHERE criteria Where possible, use EQ-JOIN  Index/Key always used  No TABLE Scan

Copyright 2007, Information Builders. Slide 16 JOIN, MATCH and MORE Conditional JOINs - Insurance Rates JOIN FILE EMPDATA1 AT BIRTHDATE TO ALL FILE RATES AT AGE AS J1 WHERE EMPDATA1.BAGE GE RATES.AGE; WHERE EMPDATA1.BAGE LE RATES.EAGE; END TABLE FILE EMPDATA1 HEADING "To: <FIRSTNAME <LASTNAME " "</1 Thank you for choosing our company for your <0X insurance needs." "Thank you for choosing our company for your insurance needs.” "Since your birth date is <BIRTHDTATE,your current rate is<0X <RATE_PER_THOUSAND per" "unit of coverage. This is your rate through age <EAGE. “ ON TABLE SET PAGE OFF BY PIN NOPRINT PAGE-BREAK END JOIN FILE EMPDATA1 AT BIRTHDATE TO ALL FILE RATES AT AGE AS J1 WHERE EMPDATA1.BAGE GE RATES.AGE; WHERE EMPDATA1.BAGE LE RATES.EAGE; END TABLE FILE EMPDATA1 HEADING "To: <FIRSTNAME <LASTNAME " "</1 Thank you for choosing our company for your <0X insurance needs." "Thank you for choosing our company for your insurance needs.” "Since your birth date is <BIRTHDTATE,your current rate is<0X <RATE_PER_THOUSAND per" "unit of coverage. This is your rate through age <EAGE. “ ON TABLE SET PAGE OFF BY PIN NOPRINT PAGE-BREAK END Greater than Minimum Age Less than Maximum Age

Copyright 2007, Information Builders. Slide 17 JOIN, MATCH and MORE Conditional JOINs - Insurance Rates and Letters To: DANIEL VALINO Thank you for choosing our company for your insurance needs. Since your birth date is 07/20/1959, your current rate is $11 per unit of coverage. This is your rate through age 42. To: DANIEL VALINO Thank you for choosing our company for your insurance needs. Since your birth date is 07/20/1959, your current rate is $11 per unit of coverage. This is your rate through age 42. To: MICHAEL BELLA Thank you for choosing our company for your insurance needs. Since your birth date is 07/27/1952, your current rate is $24 per unit of coverage. This is your rate through age 53. To: MICHAEL BELLA Thank you for choosing our company for your insurance needs. Since your birth date is 07/27/1952, your current rate is $24 per unit of coverage. This is your rate through age 53.

Copyright 2007, Information Builders. Slide 18 JOIN, MATCH and MORE FOCUS or Interface Managed? Interface Managed  Both HOST and Cross-Reference are same SUFFIX  OPTIMIZATION is ON  See Trace for optimization FOCUS Managed  Different file types  OPTIMIZATION is turned OFF  FOCUS turns off optimization (explained in TRACEs)

Copyright 2007, Information Builders. Slide 19 JOIN, MATCH and MORE JOINS – One to Many Relationships JOIN PIN IN EMPDATA TO ALL PIN IN KIDS AS JOIN1 END PIN LASTNAME FIRSTNAME MIDINITIAL EMPDATA EMP_ID LASTNAME CHILDNAME MIDINITIAL EMP_ID LASTNAME CHILDNAME MIDINITIAL KIDS OUTERINNER Employee Data Departm entData Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data

Copyright 2007, Information Builders. Slide 20 JOIN, MATCH and MORE JOINS – One to Many - Inner JOIN using SET ALL SET ALL = OFF EMP_ID PIN Retrieves only matching pairs

Copyright 2007, Information Builders. Slide 21 JOIN, MATCH and MORE JOINS – One to Many - Left-Outer with SET ALL SET ALL = ON EMP_ID PIN Retrieves all records in Host showing the short paths

Copyright 2007, Information Builders. Slide 22 JOINS – One to Many Left Outer JOIN using SET ALL PIN LASTNAME FIRSTNAME CHILDNAME VALINO DANIEL ASTRIC ARTHUR ANNE ANTHONY BELLA MICHAEL CASSANOVA LOIS JOHN ADAMS RUTH MARY ADDAMS PETER PATEL DORINA SAM SANCHEZ EVELYN SAMANTHA SO PAMELA PULASKI MARIANNE ANDERSON TIM. PIN LASTNAME FIRSTNAME CHILDNAME VALINO DANIEL ASTRIC ARTHUR ANNE ANTHONY BELLA MICHAEL CASSANOVA LOIS JOHN ADAMS RUTH MARY ADDAMS PETER PATEL DORINA SAM SANCHEZ EVELYN SAMANTHA SO PAMELA PULASKI MARIANNE ANDERSON TIM. Short Paths

Copyright 2007, Information Builders. Slide 23 JOIN, MATCH and MORE JOIN - Unique Relationship JOIN PIN IN EMPDATA TO PIN IN SPICE AS JOIN1 END PIN LASTNAME FIRSTNAME MIDINITIAL EMPDATA PIN LASTNAME SPOUSENAME SSN SPICE Employee Data Departm entData Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data

Copyright 2007, Information Builders. Slide 24 JOIN, MATCH and MORE Unique Relationship and SET ALL SET ALL = OFF or SET ALL = ON PIN PIN EMP_ID

Copyright 2007, Information Builders. Slide 25 JOINs – One to One Left Outer JOIN using SET ALL PIN LASTNAME FIRSTNAME VALINO ARTHUR BELLA CASSANOVA JOHN ADAMS MARY ADDAMS PATEL SAM SANCHEZ SAMANTHA SO PULASKI ANDERSON PIN LASTNAME FIRSTNAME VALINO ARTHUR BELLA CASSANOVA JOHN ADAMS MARY ADDAMS PATEL SAM SANCHEZ SAMANTHA SO PULASKI ANDERSON Blanks

Copyright 2007, Information Builders. Slide 26 JOIN, MATCH and MORE MATCH – Sort Merge Sort Merge A B C

Copyright 2007, Information Builders. Slide 27 JOIN, MATCH and MORE MATCH - Basic Characteristics MATCH merges files sequentially one at a time Employee Data Department Data Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data  Merges data sources based on common fields  Creates a vertical concatenation  Connection based upon BY fields  Maximum 16 files connected in one MATCH request  Produces only HOLD output  Output controlled with AFTER MATCH  Offers Right-Outer and Full-Outer capabilities

Copyright 2007, Information Builders. Slide 28 MATCH FILE file1. BY FLD RUN FILE file2. BY FLD1 AS FLD [AFTER MATCH merge_phrase1] RUN FILE file3. BY FLD2 AS FLD [AFTER MATCH merge_phrase2] END JOIN, MATCH and MORE MATCH - Syntax BY fields connect filesMerge phrase selects

Copyright 2007, Information Builders. Slide 29  OLD-OR-NEW – all records from first and second files. This is the default if the AFTER MATCH line is omitted. (The UNION of the sets.)  OLD-AND-NEW – only records common to both files. (The INTERSECTION of the sets.)  OLD-NOT-NEW – records from the first file with no match in the second file. mergetype Specifies which of the retrieved records from the files are to be selected JOIN, MATCH and MORE MATCH – Mergetype and Output

Copyright 2007, Information Builders. Slide 30  NEW-NOT-OLD - records from second file with no match in the first file.  OLD-NOR-NEW - non-matching records from both files - records from the first file with no match in the second file, and records from the second file with no match in the first file.  OLD – records from the first file with matching records in the second file.  NEW – records from the second file with matching records in the first file. JOIN, MATCH and MORE MATCH – Mergetype and Output

Copyright 2007, Information Builders. Slide 31 JOIN, MATCH and MORE MATCH – Fine-Tuning Fine tune control using the display verbs  SUM – summarizes data to one record  PRINT – prints each individual record Four combinations  SUM / SUM  1 st (summarized) 2 nd (summarized)  SUM / PRINT  1 st (summarized) 2 nd (detail)  PRINT / SUM  1 st (detail) 2 nd (summarized)  PRINT / PRINT  1 st (detail) 2 nd (detail)

Copyright 2007, Information Builders. Slide 32 JOIN, MATCH and MORE MATCH – Fine-Tuning 2 N Country DCost 1 England England Japan Japan 4000 N Car RCost 1 Jaguar Jensen Datsun Toyota 7000 SUM  SUM 1 England 3000 Jensen Japan 7000 Toyota PRINT  SUM 1 England 2000 Jensen Japan 4000 Toyota SUM  PRINT 1 England 3000 Jaguar England 3000 Jensen Japan 7000 Datsun Japan 7000 Toyota 7000 PRINT  PRINT 1 England 1000 Jaguar England 2000 Jensen Japan 3000 Datsun Japan 4000 Toyota 7000 MATCH FILE F1 COUNTRY DCOST BY N RUN FILE F2 CAR RCOST BY N AFTER MATCH HOLD OLD-OR-NEW

Copyright 2007, Information Builders. Slide 33 JOIN, MATCH and MORE MORE - Basic Characteristics MORE concatenates files sequentially one at a time Employee Data Department Data Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data  Requires data sources with common fields with the same formats  Creates a horizontal concatenation  Concatenate records of different file types  Can be used with TABLE, GRAPH, and MATCH  Similar to UNION functionality

Copyright 2007, Information Builders. Slide 34  Concatenate different file types:  FOCUS  DB2/SQL  IMS  VSAM  Fix files  Based on corresponding fields with:  Same name  Same FORMAT  Data appears as if from a single source  Currently supported in:  TABLE  GRAPH  MATCH FILE Retrieval of data from unlike data sources JOIN, MATCH and MORE MORE - Basic Characteristics

Copyright 2007, Information Builders. Slide 35 Order of Processing Main request  Identifies data fields  Identifies sorting criteria  Identifies output format of data Subrequests  Identify file(s)  Identify data fields to be concatenated to data in main request JOIN, MATCH and MORE MORE Processing

Copyright 2007, Information Builders. Slide 36 Order of processing: OUTPUT SORT 1 DATA FOCUS 2 DATA VSAM 3 DATA FIX JOIN, MATCH and MORE MORE Processing

Copyright 2007, Information Builders. Slide 37 FIX Data Retrieval (DEFINE/IF) FOCUS MORE VSAM Data Retrieval (DEFINE/IF) MORE FIX Data Retrieval (DEFINE/IF) EOF Y N EOF Y N FOCSORT EOF Y N COMPUTE/IF TOTAL OUTPUT JOIN, MATCH and MORE MORE Processing

Copyright 2007, Information Builders. Slide 38 File 1  Main Request  Supported TABLE, GRAPH, MATCH FILE syntax e.g. BY WHERE, IF, COMPUTE File 3  Subrequest  ONLY WHERE/IF syntax FIX File 2  Subrequest  ONLY WHERE/IF syntax VSAM FOCUS JOIN, MATCH and MORE MORE Processing

Copyright 2007, Information Builders. Slide 39 TABLE, GRAPH, MATCH FILE (Files) BY, WHERE, etc. MORE FILE (File 2) Subrequest (ONLY IF/WHERE) MORE FILE (File 3) Subrequest (ONLY IF/WHERE) END (after the last subrequest) JOIN, MATCH and MORE MORE Syntax

Copyright 2007, Information Builders. Slide 40  Based on fields in main request  Corresponding to fields In:  Subrequest, based on  Fieldname  Format  All fields in main request must be available to:  Files in the subrequest  Real fields  Defined fields JOIN, MATCH and MORE MORE Usage Notes

Copyright 2007, Information Builders. Slide 41 Alpha  Type and length must be equal INTEGER, floating point, DECIMAL  Type must be the same PACKED  Type and scale must be equal DATE (SMART)  Always correspond DATE (Legacy)  Edit options must be the same TEXT Fields are NOT supported JOIN, MATCH and MORE MORE Supported Datatypes

Copyright 2007, Information Builders. Slide 42 Which One Do We Use and Why JOIN, MATCH and MORE Which one? Use With JOIN EQ JOIN COND MATCHMORE Indexed Field YesNoN/A Like fieldUse DEFINE NoYesUse DEFINE No common fields NoYes Use DEFINE

Copyright 2007, Information Builders. Slide 43 JOIN, MATCH and MORE Making the Connections Employee Data Department Data Job Data Customer Data Invoices Product Data Support Data Purchase Orders Inventory Data

Copyright 2007, Information Builders. Slide 44 JOIN, MATCH and MORE Making the Connections - Appendix

Copyright 2007, Information Builders. Slide 45 JOIN, MATCH and MORE EMPDATA - Master FILENAME=EMPDATA, SUFFIX=FOC SEGNAME=EMPDATA, SEGTYPE=S1 FIELDNAME=PIN, ALIAS=ID, FORMAT=A9, INDEX=I,$ FIELDNAME=LASTNAME, ALIAS=LN, FORMAT=A15, $ FIELDNAME=FIRSTNAME, ALIAS=FN, FORMAT=A10, $ FIELDNAME=MIDINITIAL, ALIAS=MI, FORMAT=A1, $ FIELDNAME=DIV, ALIAS=CDIV, FORMAT=A4, $ FIELDNAME=DEPT, ALIAS=CDEPT, FORMAT=A20, $ FIELDNAME=JOBCLASS, ALIAS=CJCLAS, FORMAT=A8, $ FIELDNAME=TITLE, ALIAS=CFUNC, FORMAT=A20, $ FIELDNAME=SALARY, ALIAS=CSAL, FORMAT=D12.2M, $ FIELDNAME=HIREDATE, ALIAS=HDAT, FORMAT=YMD, $ FILENAME=EMPDATA, SUFFIX=FOC SEGNAME=EMPDATA, SEGTYPE=S1 FIELDNAME=PIN, ALIAS=ID, FORMAT=A9, INDEX=I,$ FIELDNAME=LASTNAME, ALIAS=LN, FORMAT=A15, $ FIELDNAME=FIRSTNAME, ALIAS=FN, FORMAT=A10, $ FIELDNAME=MIDINITIAL, ALIAS=MI, FORMAT=A1, $ FIELDNAME=DIV, ALIAS=CDIV, FORMAT=A4, $ FIELDNAME=DEPT, ALIAS=CDEPT, FORMAT=A20, $ FIELDNAME=JOBCLASS, ALIAS=CJCLAS, FORMAT=A8, $ FIELDNAME=TITLE, ALIAS=CFUNC, FORMAT=A20, $ FIELDNAME=SALARY, ALIAS=CSAL, FORMAT=D12.2M, $ FIELDNAME=HIREDATE, ALIAS=HDAT, FORMAT=YMD, $

Copyright 2007, Information Builders. Slide 46 JOIN, MATCH and MORE EMPDATA - Data PIN LASTNAME FIRSTNAME VALINO DANIEL BELLA MICHAEL CASSANOVA LOIS ADAMS RUTH ADDAMS PETER PATEL DORINA SANCHEZ EVELYN SO PAMELA PULASKI MARIANNE ANDERSON TIM PIN LASTNAME FIRSTNAME VALINO DANIEL BELLA MICHAEL CASSANOVA LOIS ADAMS RUTH ADDAMS PETER PATEL DORINA SANCHEZ EVELYN SO PAMELA PULASKI MARIANNE ANDERSON TIM

Copyright 2007, Information Builders. Slide 47 JOIN, MATCH and MORE Kids - Master FILENAME=KIDS, SUFFIX=FOC SEGNAME=CHILDSEG, SEGTYPE=S1 FIELDNAME=EMP_ID, ALIAS=PIN, FORMAT=A9, INDEX =I,$ FIELDNAME=LASTNAME, ALIAS=SLN, FORMAT=A15,$ FIELDNAME=CHILDNAME, ALIAS=SFN, FORMAT=A10,$ FIELDNAME=DATE_OF_BIRTH, ALIAS=DOB, FORMAT=MDYY,$ FILENAME=KIDS, SUFFIX=FOC SEGNAME=CHILDSEG, SEGTYPE=S1 FIELDNAME=EMP_ID, ALIAS=PIN, FORMAT=A9, INDEX =I,$ FIELDNAME=LASTNAME, ALIAS=SLN, FORMAT=A15,$ FIELDNAME=CHILDNAME, ALIAS=SFN, FORMAT=A10,$ FIELDNAME=DATE_OF_BIRTH, ALIAS=DOB, FORMAT=MDYY,$

Copyright 2007, Information Builders. Slide 48 JOIN, MATCH and MORE Kids - Data EMP_ID LASTNAME CHILDNAME DATE_OF_BIRTH VALINO ANTHONY 12/31/ VALINO ANNE 11/09/ VALINO ARTHUR 06/01/ VALINO ASTRIC 05/03/ CASSANOVA JOHN 05/07/ ADAMS MARY 08/01/ PATEL SAM 07/05/ SANCHEZ SAMANTHA 08/04/1997 EMP_ID LASTNAME CHILDNAME DATE_OF_BIRTH VALINO ANTHONY 12/31/ VALINO ANNE 11/09/ VALINO ARTHUR 06/01/ VALINO ASTRIC 05/03/ CASSANOVA JOHN 05/07/ ADAMS MARY 08/01/ PATEL SAM 07/05/ SANCHEZ SAMANTHA 08/04/1997

Copyright 2007, Information Builders. Slide 49 JOIN, MATCH and MORE Spice - Master FILENAME=SPICE, SUFFIX=FOC SEGNAME=SPOUSEI, SEGTYPE=S1 FIELDNAME=PIN, ALIAS=ID, FORMAT=A9, INDEX=I,$ FIELDNAME=LASTNAME, ALIAS=SLN, FORMAT=A15,$ FIELDNAME=SPOUSENAME, ALIAS=SFN, FORMAT=A10,$ FIELDNAME=SPOUSESSN, ALIAS=SSN, FORMAT=A9,$ FILENAME=SPICE, SUFFIX=FOC SEGNAME=SPOUSEI, SEGTYPE=S1 FIELDNAME=PIN, ALIAS=ID, FORMAT=A9, INDEX=I,$ FIELDNAME=LASTNAME, ALIAS=SLN, FORMAT=A15,$ FIELDNAME=SPOUSENAME, ALIAS=SFN, FORMAT=A10,$ FIELDNAME=SPOUSESSN, ALIAS=SSN, FORMAT=A9,$

Copyright 2007, Information Builders. Slide 50 JOIN, MATCH and MORE Spice - Data PIN LASTNAME SPOUSENAME SPOUSESSN VALINO ABIGAIL CASSANOVA EDWARD ADAMS BRIAN PATEL KEITH SANCHEZ EDWARD PULASKI DAVID PIN LASTNAME SPOUSENAME SPOUSESSN VALINO ABIGAIL CASSANOVA EDWARD ADAMS BRIAN PATEL KEITH SANCHEZ EDWARD PULASKI DAVID

Copyright 2007, Information Builders. Slide 51 JOIN, MATCH and MORE Insurance Rates File TABLE FILE RATES PRINT * AGE EAGE RATE_PER_THOUSAND $ $ $ $ $ $ $ $42 AGE EAGE RATE_PER_THOUSAND $ $ $ $ $ $ $ $42