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Data Warehousing What is it and what are the requirements?
What is a Data Warehouse? ,[object Object],[object Object]
Now in English ,[object Object],[object Object]
Measures “Facts” not Activities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Grain? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Dimension? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Used in Queries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Answers Business Questions ,[object Object],[object Object],[object Object]
Finding Facts and Dimensions
Documenting Facts and Dimensions ,[object Object],[object Object]
How do we begin? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],E T L
Identify with a Bus Matrix ,[object Object],[object Object]
Building a Bus Matrix
Code Translations ,[object Object],[object Object],[object Object]
Objective of Code Standards ,[object Object],[object Object],[object Object],[object Object]
Demographic Values ,[object Object]
Code Driven Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ethnicity/Race ,[object Object],[object Object],[object Object]
Ethnicity/Race The OMB race categories The Census question (600) Some Other Race (300) American Indian or Alaska Native (500) Native Hawaiian or Other Pacific Islander (200) Black or African American (400) Asian (100) White
Hispanic Origin ,[object Object],Origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person or the person’s parents or ancestors before their arrival in the United States. Persons of Hispanic origin may be of any race.
Country and Language Values ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
US States Values ,[object Object],[object Object],[object Object]
Disability Values ,[object Object],[object Object]
Marital Status Values ,[object Object],[object Object],[object Object],[object Object],[object Object]
Marital Status Values ,[object Object]
Translation Rules ,[object Object],[object Object],[object Object],[object Object]
Invalid Values Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Values that Change Rules ,[object Object],[object Object],[object Object]
Values that Change Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Values that Change Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Values that are Cumulative ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dependent Values ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object]
Valid Comparisons
Reporting Cubes Using Pivot Tables help you in reporting and analyzing data In this report,  the Fact is Client count,  the Dimensions are By Department, By Race, and  By Active Year
Drill Down Capable From the previous report we have “drilled” into the Social Services Division, “down” to the program level. Cubes provide for drilling down into greater level of detail
Multi-Dimensional We say that these cubes are multi-dimensional.  This report shows that we can combine dimensions to find even more interest information.  Notice that the Fact is  Unique Client ,  the Dimensions are  By Race Group ,  By Gender ,  By Marital Status ,  By Department , and the Filter, or Selection, is  For Active Year
Visual Graphs Reports are easily converted in to visual graphs.  Here is the prior grid report in a graph format.  “ Interesting” information   is quickly noticed.
Putting it all together ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Data Warehouse?
Key to Success ,[object Object],[object Object]

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Data Warehouse Presentation

  • 1. Data Warehousing What is it and what are the requirements?
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Finding Facts and Dimensions
  • 10.
  • 11.
  • 12.
  • 13. Building a Bus Matrix
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. Ethnicity/Race The OMB race categories The Census question (600) Some Other Race (300) American Indian or Alaska Native (500) Native Hawaiian or Other Pacific Islander (200) Black or African American (400) Asian (100) White
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 35. Reporting Cubes Using Pivot Tables help you in reporting and analyzing data In this report, the Fact is Client count, the Dimensions are By Department, By Race, and By Active Year
  • 36. Drill Down Capable From the previous report we have “drilled” into the Social Services Division, “down” to the program level. Cubes provide for drilling down into greater level of detail
  • 37. Multi-Dimensional We say that these cubes are multi-dimensional. This report shows that we can combine dimensions to find even more interest information. Notice that the Fact is Unique Client , the Dimensions are By Race Group , By Gender , By Marital Status , By Department , and the Filter, or Selection, is For Active Year
  • 38. Visual Graphs Reports are easily converted in to visual graphs. Here is the prior grid report in a graph format. “ Interesting” information is quickly noticed.
  • 39.
  • 40. What is a Data Warehouse?
  • 41.

Notas do Editor

  1. What are some business facts that you need, or would like, to be able to report on? At the end of this presentation we will list some of these.
  2. The data warehouse is to help you answer business questions, questions like: [Slide] And, to help you answer questions like these we will providing you with what are called Reporting Cubes.
  3. Here is an example of how to identify Facts and Dimensions on an existing report The Facts are Count of Cases, Sum of Aid Payments, Average of Pay per Case The Dimensions are By Program, By Aid Type, By Calendar Month, For Fiscal Year
  4. Here we see another report. Again the fact is a count of Clients, the dimensions are By Race group, By Department, For Active Year
  5. These cubes can provide for drilling down into greater level of detail From the previous report we have “drilled” into the Social Services Division, “down” to the program level. Can you tell me what the dimensions are here? By Race By Department By Program By Active Year
  6. We say that these cubes are multi-dimensional. This report shows that we can combine dimensions to find even more interest information. Notice that the Fact is Unique Client , the Dimensions are By Race Group , By Gender , By Marital Status , By Department , and the Filter, or Selection, is For Active Year
  7. These reports are easily converted in to visual graphs. Here we see the prior grid report in a graph format. This allows us to quickly notice interesting information.
  8. And the way to ensure acceptance is to ensure we have YOUR requirements, so that it meets your needs. We are now going get your requirements. We are going identify the facts (numbers) you need, and how you would like them grouped by.