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Developing and Deploying Data Warehouse and Business Intelligence Solutions

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Title: Developing and Deploying Data Warehouse and Business Intelligence Solutions


1
Developing and Deploying Data Warehouse and
Business Intelligence Solutions Kerr-McGee
Information Management Group
Skye Brannon Jeff Bridgwater Sarena Sherrard
DW Analyst DW Manager Sr. DW Analyst
2
Who is Kerr-McGee?
  • Kerr-McGee is an Oklahoma City-based energy and
    inorganic chemical company with worldwide
    operations and assets of approximately 10
    billion.
  • http//www.kerr-mcgee.com/

3
Agenda
  • Introduction to DW/BI Concepts
  • Extract, Transform Load (ETL)
  • Business Intelligence / Reporting
  • A Day in the Life

4
DW / BIConcepts
5
Information Management Strategy
  • Structure the systems and data relationships to
    provide user-friendly customer access to data in
    order to provide decision-making information.

6
Adding Value to Data
7
Information Pyramid
8
What is a Data Warehouse?
  • A copy of data from one or more On-line
    Transaction Processing (OLTP) systems
    specifically structured for Query, Reporting and
    Analysis (QRA).
  • Data is typically at a summarized level to limit
    the size and complexity of the data warehouse
  • Data is usually cleansed and merged to create an
    apples to apples comparisons

End-User Reporting
OLTP Systems
Data Warehouse
9
The Idea Behind Data Warehousing
Meaningful Easy Access
Extract Transform
Information
Data
10
Framework Architecture
11
Business Intelligence
Information
Data
12
Corp.
K-M As-Is
Oracle Financials
Passport
InPower
HR Data Warehouse
Chemical
Domestic Oracle Financials
Production Operations
Passport
Financial Operations
Adage
European Oracle Financials
Maximo
Data Warehouses
Chemhouse
TOLAS
Existing Reporting Systems
OG
OG Data Warehouse
Novistar Energy Financials
Tobin
  • Issues
  • Multiple Versions of the Truth
  • Different definitions for similar data
  • Multiple Reporting Tools and Reports
  • Impacts Performance of Oracle Financials

DFW
PREMAS
P2000
Aberdeen Oracle Financials
Merak
Intl. Systems
Aberdeen Data Warehouse
Others
13
Corp.
HR Data Warehouse
K-M To-Be
Oracle Financials
Phased Out
Passport?
Peoplesoft
Budget Forecasting Application
Production Operations
Chemical
Centralized Data Warehouse(s)
Domestic Oracle Financials
Passport
Financial Operations
Consolidated Analysis Reporting
Solution (Cognos Business Intelligence)
Adage
Data Warehouses
European Oracle Financials
Maximo
Existing Reporting Systems
Dashboards KPI Mgmt
TOLAS
Chemhouse
Consolidated Reporting Systems
OG
Novistar Energy
Tobin
  • Benefits
  • Single Version of the
  • Truth
  • Business Intelligence environment leads to
    Timely Analysis
  • Reporting
  • Consolidated Tool
  • Enables Multiple
  • Economies of Scale
  • - Massaging Distribution
  • - Desktop/Maintenance
  • - Transaction System Load

OG Data Warehouse
DFW
Possibly Phased Out or Integrated
PREMAS
P2000
Aberdeen Oracle Financials
Aberdeen Data Warehouse
Merak
Possibly Phased Out or Integrated
Intl. Systems
STANDARDIZE, CONSOLIDATE, MINIMIZE, SIMPLIFY
Others
14
Data Warehouse Roles
  • Manager Planning and management of entire product
    or project lifecycle May assist in ETL BI
    Interface design and development
  • Data Warehouse Architect Applies knowledge of
    technology options, platforms, and design
    techniques across product and project lifecycle
    responsible for design of overall warehouse
    process
  • ETL Specialist Analysis and design of
    extraction, transformation, and loading strategy
    development of ETL scripts and procedures
  • Business Intelligence Specialist Design and
    development of multidimensional-cubes reports
    performance and tuning of chosen technologies
  • Web Interface Specialist Design and development
    of application interface elements coordinates
    interfaces between application components

15
ETL
16
Data Extraction and Transformation
Metadata Management
  • Data Extraction and Transformation
  • Applying business rules to turn data into useable
    information
  • Clean up and standardization of consumers,
    vendors, products, etc.
  • Integration of disparate internal and external
    data
  • Can be 70 - 80 of effort
  • Issues
  • - Can be difficult and time consuming to
    define business rules
  • - Extraction tools automate only the more simple
    tasks

Plan/Forecast/ Analysis
Data Extract Cleansing and Integration Process
External Data
Global / Dept/ Business UnitSummary and Analysis
OLAP Query
Data Visualization
Datamarts
Data Mining
Executive Information Systems
Data Transformation
Operational Data Store
Data Warehouse
Information Analysis
Source Systems
17
ETL Challenges
Data Volume
Source Inclusion
ExtractTiming
Warehouse Complexity


  • Warehouse Complexity
  • Destructive vs. Incremental Loads
  • Integration (mergers/acquisitions)
  • Data integration (consolidation of information)
  • Process integration (consolidation of processes)
  • Smaller windows of opportunity
  • Make decision in a shorter period of time due to
    competitive, global market
  • Global marketplace (DW timing updates)
  • High-profile e-Business initiatives
  • Satisfying requirements

18
ETL - The Heavy Lifting
  • Challenge to develop efficient, consistent
    methods of gathering and cleansing heterogeneous
    data
  • Capture and load of data from multiple source
    systems (both internal and external)
  • Integrates data into a single source
  • Cross-system mapping to standard identifiers
    (surrogate keys)
  • Aggregation for information delivery and BI
    initiatives

19
ETL Tools - Only Half the Story
  • Half the story ETL Tools Extract, Transform, and
    Load data
  • Transport data between sources and targets
  • Document data element changes (metadata)
  • Administer run-time processes and operations
  • Scheduling
  • Error management
  • Audit logs
  • Statistics

20
ETL Tools Core Components
Databases/Files
MetadataImport/Export
Target Adapters
Extract
RuntimeMetadataServices
Transform
Load
DesignManager
Source Adapters
Databases/Files/Legacy Apps
21
ETL - The Options
  • Software Products
  • Homegrown Solutions
  • SQLLOADER, PL/SQL, GATEWAYS LINKS
  • Developer-bound
  • Little cohesion between components
  • Niche Players (Oracle Warehouse Builder /
    DataJunction)
  • Enhanced Scheduling Logging
  • Not Multi-Warehouse Oriented
  • Informatica Powermart
  • Great UI
  • Powerful Scheduling Logging
  • High Price
  • Proprietary Transform Language

22
ETL - The Reality
23
Informatica Powermart
  • Repository Manger
  • Designer

Workflow Manager
Workflow Monitor
24
Business Intelligence / Reporting
25
What is Business Intelligence?
  • Business Intelligence is the transformation of
    data into information you can use to drive your
    business.
  • There are a number of vendors that have developed
    Business Intelligence software. Kerr-McGee uses
    Cognos.

26
Business Intelligence Tools
Metadata Management
  • Business Intelligence Tools
  • Combination of applications and tools
  • Provide analysis, presentation and reporting
    facilities for users
  • Tailored to meet diverse needs of executives,
    mgrs, analysts
  • Data may reside in ODS, data warehouse or data
    mart
  • Issues
  • How do you choose the right tool or tools?

Plan/Forecast/ Analysis
Data Extract Cleansing and Integration Process
External Data
Global / Dept/ Business UnitSummary and Analysis
OLAP Query
Data Visualization
Datamarts
Data Mining
Executive Information Systems
Data Transformation
Data Warehouse
Operational Data Store
Information Analysis
Source Systems
Project Management Quality Assurance
27
Categorize Information Needs
28
Information Delivery Mechanisms
Predefined Summaries
Specialized Algorithms
Directed Analysis
Standardized Operational Reporting
Ad-hoc Queries
29
B.I. Infrastructure
30
All things Cognos
  • Cognos is a vendor. The suite of applications
    weve bought and use from Cognos are
  • Access Manager (Security)
  • Upfront (Portal http/intranet/kmbi)
  • PowerPlay (reports/cubes)
  • Impromptu (Web based PDF reports)
  • NoticeCast (conditional report notifications)
  • Visualizer (graphic depictions of data
    warehouse/cube information)
  • What we will cover.

31
Terminology
  • Cube - A multidimensional way to analyze
    information, designed to provide quick answers to
    the who, what, why, when, and where business
    questions.
  • Drill Down - Going from a summarized view to a
    more detailed view of information within the same
    cube
  • Drill Across - Linking data from One Subject
    Area to Another (General Ledger to Accounts
    Payable)
  • Drill Through - Linking to source data using
    selected filters
  • Powerplay Web - On-Line Analysis Tool for cubes
    (slice/dice, drill down, drill across drill
    through)
  • Newsbox -A web based folder used to store views
    of data (reports). Every KMBI user has their own
    personal newsbox.

32
Cognos - Upfront
  • Upfront - Portal Management

33
Cognos - PowerPlay
  • PowerPlay web reports/slicing and dicing/data
    analysis, based on cubes.

More Information on Cognos website
http//www.cognos.com/products/businessintelligenc
e/analysis/
34
Cognos - Impromptu
  • Impromptu printable reports (in PDF) that
    may/or may not be produced with prompts for
    filtered information.

35
Cognos - Visualizer
  • Visualizer interactive graphic depictions of
    data warehouse/cube information

36
Developing Visualizations
  • Initial Project meeting should include
  • Client - gives input on look and feel, data
    requirements, timelines
  • Project Manager ensures project is feasible
    within budget and time restraints at the onset
    and through out the project.
  • Data Warehouse Architect ensures all the needed
    data is in the data warehouse.
  • Business Intelligence Specialist (cube builder)
    ensures all the needed data is in the cube, in
    the correct format
  • Web Interface Specialist (visualization builder)
    works with cube builder and client to
    established look and feel, navigation, chart
    styles, etc..

37
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38
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39
Day in the Life
40
Typical Day
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