Louisiana DOTD Data Warehouse DOTD Data Warehous… · Data Warehouse Business Applications ETL...

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Louisiana DOTD Enterprise Data Warehouse 2007 Transportation Engineering Conference Louisiana DOTD February 13 th , 2007 (Meeting Room 1) Business Intelligence at DOTD

Transcript of Louisiana DOTD Data Warehouse DOTD Data Warehous… · Data Warehouse Business Applications ETL...

Louisiana DOTDEnterprise Data Warehouse

2007 Transportation Engineering Conference

Louisiana DOTDFebruary 13th, 2007

(Meeting Room 1)

Business Intelligence at DOTD

Overview

• Louisiana Department of Transportation and Development

• The Challenge

• Solution Area Business Case

• Source Systems

• Data Repository

• Reports and Queries

• Tools

• Summary

Louisiana DOTD

The Louisiana Department of Transportation and Development (DOTD) develops, implements, and administers programs and projects that impact the State’s highways, bridges, airports, waterways, rail and public transportation systems and administers an annual budget of over $2.3 billion.

DOTD needs to analyze information to manage its complex activities, but finds that the data needed for analysis is located in different systems, stored in different formats, and often difficult to access.

Louisiana DOTDTo meet this challenge, DOTD implemented

technology to enable:

• A more feasible mechanism to retrieve, report, export, or perform analysis on ad-hoc queries

• A “checkbook” view that shows the status of financial transactions

• Improved decision support for cash management practices, such as scheduling of expenditures

• Ability to easily generate key reports and query results for decision-makers.

The Challenge

• Disparate data sources

• Operational data stored in very “functional” silos

• Difficult for users to access

• Little integration between financial and project systems

• Manual process to extract and integrate data for reports when data from multiple systems required

• Data is not “clean”

The Challenge DefinedThe Data Warehousing system must provide:

• A more feasible mechanism to retrieve, report, export, or perform analysis on ad-hoc queries of relevant data, updated on a frequent basis to meet our increased reporting requirements due to the hurricanes

• The Process Improvement Initiative (Team 1) on Performance Measurements requirement for an automated method to generate an easy-to-retrieve and easy-to-understand representation of department performance on key indicators

What is a Data Warehouse?

• Historical data repository for reporting and analysis across time

• Combines data from multiple systems• Builds on dimensional data model that facilitates

analysis across different subject areas• Extracts data from operational systems, does not

change operational systems• Transforms operational data into meaningful

information• Applies business rules to data and eliminates bad

data• Single version of the truth, one common data

repository for all users

What is a Data Warehouse?Operational vs. Analytical

Operational

• Functionally Oriented

• Disparate

• Time Specific

• Volatile

• Redundant

• Incompatible

Analytical

• Subject Oriented

• Integrated

• Time Variant

• Non-volatile

• Detail Data

The Data Warehouse Architecture Separates Operational Systems and Analytical Systems

Operational

Data

Store

Operational

Environment

ETL

Analytical

Environment

Enterprise

Data

Warehouse

Business

Applications

ETL

Report

Queries

ETL

Data Flow

Solution Area Business Case

• Reporting around projects is very high priority• Complete “picture” of a project• Aggregate views with ability to “drill” to detail views

• Finances (expenses)• Project costs• Departmental Costs

• Cash management• Outlays and funding

• Human Resources• HR related to projects and finances

Solution Area Business Case

• Major Focus Areas• Finance

• Projects

• Source Systems• Eight systems

• Integrates data from major functional areas

• Satisfies needs identified during interviews

Source SystemsSOURCE DESCRIPTION FOCUS AREA

DAJR Daily Journal of Financial Transactions

Finance

SMGR/ESTI Construction Projects Projects/Finance

PMFS Capital Outlay Financing

Project/Finance

TOPS Project Master File Project

LETS Project Letting Schedule

Project/Finance

PCST Project Cost History Project/Finance

FAID Federal Aid Finance

Data Repository

• Utilize existing DB2 installation on z/OS

• Create two new databases• Staging – Data transformation and load

activities

• Production – End user production environment for reporting

• Managed by LaDOTD DBA’s

• No additional software acquisition required

Reports and Queries

Data Warehouse delivers reports designed to answer the questions defined and agreed upon in the business requirements phase.

Those questions were:• How was a project funded?

• For capital outlay funds, what are the budgeted, committed, encumbered, expended and balance remaining amounts?

• How much does/did a project cost?

• How were the funds spent?

• When were the funds spent?

ToolsReports were created and delivered

using Information Builders Web Focus. Tool benefits include:

• Managed report caching and delivery

• Security mechanisms and end user management

• Integration with the Web Focus Dashboard

• Simplified administration

• Ease of use for end users

• Report delivery via common web browser

• No additional software acquisition costs were required

Tools continued

• For ETL processes, custom SQL language scripts are run via our scheduling system. The ETL process document details the exact order the scripts must be run in and any exception processes associated with the scripts.

• While custom scripts were not recommended for long-term data warehouse projects with high volumes of data, they would suffice for our needs at this time.

• No additional software acquisition costs were required.

On-Line Demo

Data Warehouse Welcome Page

Key Performance Indicators

Projects Bid When Scheduled

Projects Bid Within Estimate

Project Delivery Gauges

Projects Completed on Time

Projects Completed Less Than 110% of Bid

Construction Project Gauges

Traffic Fatalities on Louisiana Public Roads

Project Reports

Active Construction Projects

Active Construction Projects

Active Construction Projects

High Impact Projects

Unrecorded Liabilities

Prompted Report – High Impact Projects

Prompted Report – High Impact Projects

Prompted Report – High Impact Projects

Prompted Report – High Impact Projects

Prompted Report – High Impact Projects

Fund Reports

Capital Outlay Fund Balances

Capital Outlay Fund Balances Summary

Operating Fund Balances

Operating Fund Balances Summary

Prompted Reports

Prompted Reports – HTML or Excel

Prompted Reports - Excel

Prompted Reports – Excel, in Browser

Prompted Reports – Excel, Standalone

Prompted Reports – HTML

Capital Outlay Funds Summary

Operating Funds Balance – Drill Down

Operating Funds Balances by District

Budget Reports

Budget Status by Fund, District, and Financial Group

Budget Status by Fund, District, and Financial Group

Budget Status by Fund, District, and Financial Group

Budget Status by Fund, Program, and Financial Group

Hurricane Reports

Hurricane Reports

Hurricane Reports

Hurricane Reports

Hurricane Reports

Hurricane Reports

Help Pages

Future PlansIn FY 2005, we worked with consultants in

developing the base system; in FY2006, IT personnel continued adding to the architecture and adding additional data sources; in FY2007, we plan to use consultant assistance.

Expansion areas to be addressed include implementing additional performance indicators, more detailed payroll information and including maintenance data sources.

We will also plan to include additional operational data stores.

SummaryThe Data Warehouse project has provided the

platform to facilitate the analysis and reporting requirements that occurred as a result of hurricanes and process improvement.

Having a designated area (data warehouse) on the Intranet has eliminated the “where do I find it” search for DOTD employees.

With regard to timing, the Data Warehouse was able to address several high priority needs and heightened awareness for continued expansion.

The demands for data continue to increase while the tolerance to wait for results continues to dwindle.

Questions