From Hours to a Few Seconds
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1 From Hours to a Few Seconds Palle Severinsen Nykredit Data Georg Morsing SAS Institute
2 Presentation of the author Palle Severinsen! Departmental head in Nykredit, IT- Department! Responsible for developing IT- solutions Areas:! Financial applications Trading, Risk Management,! HR Salary, Education,! Economics Accounting, DW, Balanced Scorecard,!
3 Presentation of the author Georg Morsing! Department Manager, Development Department, SAS Institute Denmark! Responsibility:! SAS/ASSIST software! Enterprice Reporter software! Nordic Translation!
4 Agenda 1Background, Motivation & Solution! Previous solution! New needs! New Data Warehouse concept 2Case! Finding customers and loans with Enterprise Reporter software 3Technical Solution! HOLAP, join & aggregate, data, reporting in one solution
5 Short company profile: Nykredit Financial company based in Denmark! Minor activities in Germany and UK Key business areas:! Mortgage banking (loans based on real property)! Other main areas:! Banking! Insurance! Real Estate! Investment
6 Market Share - Banking & Morgage Banking Competitors 28% 387,8 mia kr 72% 1004,2 mia kr Øvrige penge- og realkreditinstitutter Nykredit Pengeinstitutter: Udlån til indland Nationalbankens finansielle statistik januar 1999 & 2000, tabel 16 Realkreditinstitutter: Bogført kontantsaldo Nationalbankens finansielle statistik januar 1999 & 2000, tabel 36
7 Market Leader, Morgage Credit The largest company for mortgage credit in Denmark!! Every 3rd new morgage credit loan! Every 4rd to private! Every 2rd to trades and industries! Every 2rd to agriculture Kilde: Realkreditrådets statistik, januar 2000
8 Where is Nykredit represented all over Denmark!
9 other facts! Approximately 3000 employees! IT- department: 280 employees! Approximately customers! More than loans! Aggressive use of IT to place Nykredit in the front line
10 Agenda 1Background, Motivation & Solution! Previous solution! New needs! New Data Warehouse concept 2Case! Finding customers and loans with Enterprise Reporter software 3Technical Solution! HOLAP, join & aggregate, data, reporting in one solution
11 Previous solution: EXTRACT- Environment! Many tables 150 tables extracted from legacy systems! Independent tables No integrated data model! One extract per need Same data copied based on different extraction criteria (fordifferent reasons)! Developed over 15 years! Tool: Base SAS software
12 Previous solution: EXTRACT- environment! Users Requirements:! Experience with programming (Base SAS)! Experience with data models and data relations (join)! Users Types:! Few experts outside the IT department! Programmers in the IT department
13 Previous solution: EXTRACT- environment Other problems:! Data overview 150 tables! Many data relations Used for joining tables! Data inconsistency Same data, different extraction criteria
14 Our requirements to a new solution:! A clear picture of data! Better data consistency and data quality (integrated analysis envionment)! To reach a larger group of users (non- experts in data and programming)
15 New Needs - The Solution! A clear picture of data!data modelling using star schemas! Better data consistency and data quality (integrated analysis envionment)! Data modelling using star schemas! Control and balance system! To reach a larger group of users (non experts in data and programming)! Front end: Enterprise Reporter! Aggregating and sumarizing data for better performance: SAS MDDB and HOLAP tools
16 New Data Warehouse -- Vision -- Balanced Scorecard BUDGET EIS Data mining Ad-hoc Reports to the authorities Users Common data (Enterprise Data Warehouse) LASY Beta NS Løn&Pers Kviktid Dialog Tilbud Kurssikring Legacysystems
17 New Data Warehouse -- tasks, users, tools -- Data Warehouse Tasks Special reports Special dataanalysis Adhoc-reports Adhoc-analysis (non-complex) Management info (BSC, EIS, Budget) Userprofiles programmer Excel-users Just a basis user Usergroups Tools Number of users IT-department Central staff Potentially all Excel-uses SAS-base SAS Enterprise (datamining) Reporter Few max 20 today: 30 growing number Managers and controllers Comshare SAS-AF (old) 400 Platforms -why Mainframe scheduled jobs Client/server -Excelfuncionality WEB - no distribution
18 New Data Warehouse -- Initial data solution for performance -- SAS Enterprise Reporter DB2 Detail data MDDB Aggregate data
19 New Data Warehouse -- Initial data solution for performance -- SAS Enterprise Reporter DB2 Detail data MDDB Result: It took hours to get answers from an MDDB query Aggregate data
20 New Data Warehouse -- Final data solution for performance -- SAS Enterprise Reporter Index HOLAP DB2 Detail data MDDB Aggregate data
21 New Data Warehouse -- Final data solution for performance -- HOLAP DB2 SAS Enterprise Reporter Index Result: answers in seconds! Detail data MDDB Aggregate data
22 New Data Warehouse -- Final data solution for performance -- HOLAP DB2 SAS Enterprise Reporter Happy users Happy me Happy SAS Institute Index Result: answers in seconds! Detail data MDDB Aggregate data
23 Agenda 1Background, Motivation & Solution! Previous solution! New needs! New Data Warehouse concept 2Case! Finding customers and loans with Enterprise Reporter software 3Technical Solution! HOLAP, join & aggregate, data, reporting in one solution
24 Case Situation:! Interest rate is droping! Sales people in our department in Aalborg:! Find customers with too high interest rate Before:! Order a list in the IT department! Time to retrieve the information: 1-5 days Now with Data Warehouse & Enterprise Reporter! Start Enterprise Reporter and make the list! Time to retrieve the information: Minuts
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32 Agenda! 1 Background, Motivation & Solution! Previous solution! New needs! New Data Warehouse concept! 2 Case! Finding customers and loans with Enterprise Reporter software 3Technical Solution! HOLAP, join & aggregate, data, reporting in one solution
33 Technical Solution Administrator setup:! Data structure on MVS & HOLAP! Enterprise Reporter environment on PC User:! Data access! Building reports
34 Administrator Setup: Data structure MVS in Aalborg, Denmark Tables: Customer Time Loans Realstate Sales rep products DB2 DB2 Tables Up to 6 mill rows Views Join & Aggregate MDDB s Base SAS: SQL, Data Step, SAS procedures
35 What is HOLAP? Hybrid OnLine Analytical processing Mainframe DBMS DBMS or or SAS SAS Detailed Data Data MDDB MDDB Slightly Slightly summarized data data MDDB MDDB Medium Medium summarized data data Departmental Server MDDB MDDB MDDB MDDB SAS SAS Tables Tables & Views Views Local PC SAS SAS Tables Tables & Views Views Proxy Proxy MDDB MDDB MDDB MDDB Highly Highly summarized data data
36 Administrator Setup: HOLAP Tables: Customer Time Loans Realstate Sales rep products DB2 DB2 Tables Up to 6 mill rows Views Join & Aggregate MVS MDDB s SAS/EIS software Proxy MDDB Enterprise Reporter software PC
37 Administrator Setup: Enterprise Reporter Create an InfoFolder (metadata) Define HOLAP path
38 The Solution: Enterprise Reporter with HOLAP Enterprise Reporter Autoexec:! Logon! Download proxy MDDB to PC Proxy MDDB Proxy MDDB MVS PC! Access to data in InfoCenter! Always last updated proxy MDDB
39 Conclusion! Data warehouse & HOLAP! Consistent data retrival! Optimize performance! Enterprise Reporter! Transparrent data access! End-user solution! Shield the user from data complexibility! Use IT to place Nykredit in the front line
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