Pragmatic Works’ Brian Knight [email_address]

Approximately 10% of your user population will learn how to build ad hoc queries This means you must build applications to provide access to the other 90% IT typically has a huge back log of reports to develop, which creates a large expense

Approximately 10% of your user population will learn how to build ad hoc queries

This means you must build applications to provide access to the other 90%

IT typically has a huge back log of reports to develop, which creates a large expense

Helps with reporting Ad-hoc reports Get reporting system resources off the transactional database Consolidate databases and sources Predictive analysis with data mining Retain data for a longer period than transactional databases

Helps with reporting

Ad-hoc reports

Get reporting system resources off the transactional database

Consolidate databases and sources

Predictive analysis with data mining

Retain data for a longer period than transactional databases

Mentor customer in producing, loading and reporting against a data warehouse Mentor customer in avoiding common performance and project pitfalls Design core schema for small data warehouse proof of concept (POC) and conceptual warehouse for rest of system Delivery of sample ETL, report and cube against the POC warehouse

Mentor customer in producing, loading and reporting against a data warehouse

Mentor customer in avoiding common performance and project pitfalls

Design core schema for small data warehouse proof of concept (POC) and conceptual warehouse for rest of system

Delivery of sample ETL, report and cube against the POC warehouse

1 hour call with you to retrieve existing source system diagrams Discussion of business problems Checking in to make sure the development environment and access to source systems are ready

1 hour call with you to retrieve existing source system diagrams

Discussion of business problems

Checking in to make sure the development environment and access to source systems are ready

Activities Review existing database diagrams Preliminary meeting with stakeholders to review report Brainstorm and whiteboard database diagram for warehouse (high-level) Deliverables Bus Matrix of the requirements Feasibility and Prioritization Worksheet Conceptual database diagram for data warehouse

Activities

Review existing database diagrams

Preliminary meeting with stakeholders to review report

Brainstorm and whiteboard database diagram for warehouse (high-level)

Deliverables

Bus Matrix of the requirements

Feasibility and Prioritization Worksheet

Conceptual database diagram for data warehouse

<- Low Feasibility High-> <-Low Business Impact High-> Customer Profitability Product Utilization Product Promotions Inventory Levels Product Promotions Product Returns Product Promotions

Data Separated into fact and dimension tables Dimension tables answer the pivot or where clause Make as wide and descriptive as possible Surrogate keys operate as unique ID for each row Keep surrogate keys as small as possible Fact tables answer the what or select statement Intersect all dimension tables Surrogate keys from each dimension in this table Measures are the “what” like Price, Quantity, Duration

Data Separated into fact and dimension tables

Dimension tables answer the pivot or where clause

Make as wide and descriptive as possible

Surrogate keys operate as unique ID for each row

Keep surrogate keys as small as possible

Fact tables answer the what or select statement

Intersect all dimension tables

Surrogate keys from each dimension in this table

Measures are the “what” like Price, Quantity, Duration

Activity: Create high-level mappings of targets for the week Create a SSIS package to load the data warehouse fact table and dimensions Deliverable: Proof of concept data mart with 1 fact table and a few related dimensions Set of SSIS packages to load the data warehouse

Activity:

Create high-level mappings of targets for the week

Create a SSIS package to load the data warehouse fact table and dimensions

Deliverable:

Proof of concept data mart with 1 fact table and a few related dimensions

Set of SSIS packages to load the data warehouse

Source System (relational) 5- Data Warehouse ETL (SSIS)

Source System (relational)

Example SSIS Data Flow

Activities Demonstrate SSAS functionality using POC warehouse Demonstrate KPI functionality using sample SSAS cube Deliverables Prototype SSAS cube for demonstration purpose Slice and dice report using Excel 2007

Activities

Demonstrate SSAS functionality using POC warehouse

Demonstrate KPI functionality using sample SSAS cube

Deliverables

Prototype SSAS cube for demonstration purpose

Slice and dice report using Excel 2007

Pragmatic Works

Activities Demonstrate SSRS report writing using cubes Demonstrate SSRS reports against a typical drill-down data warehouse Deliverables Sample SSRS report using the cube or the data warehouse

Activities

Demonstrate SSRS report writing using cubes

Demonstrate SSRS reports against a typical drill-down data warehouse

Deliverables

Sample SSRS report using the cube or the data warehouse

Example SSRS Report

Activity Review week's findings (with stake holders) Review best practices Transition of knowledge to other staff members not in fast track session via an internal meeting Deliverable: Next steps roadmap Start high-level project plan with client guidance

Activity

Review week's findings (with stake holders)

Review best practices

Transition of knowledge to other staff members not in fast track session via an internal meeting

Deliverable:

Next steps roadmap

Start high-level project plan with client guidance

Milestone Timeline Owner(s) Clean Source System Iteration 1 Data Entry Finalize Bus Matrix Iteration 1 Business and IT stakeholders Logical Data Model Approved Iteration 1 Business and IT stakeholders

Access to the data sources that customer requires for project Ideally, this should be scoped to a single source or a simple two sources Access to stakeholder who has requested the reports (typically for 4-6 hours) 100% access to a technical resource to mentor and do hand off

Access to the data sources that customer requires for project

Ideally, this should be scoped to a single source or a simple two sources

Access to stakeholder who has requested the reports (typically for 4-6 hours)

100% access to a technical resource to mentor and do hand off

Questions [email_address]

Questions

[email_address]