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ESRI Southeast User Conference

May 2012

Utilizing GIS for Revenue Forecasting

• Background

• Addressing and Tax Revenue

• Revenue Forecasting

Presentation Outline

• Background

• Addressing and Tax Revenue

• Revenue Forecasting

Presentation Outline

Background

• Taxes on Utility Bills

• Who Pays These

• Who Receives the Revenue

Background

• Taxes on Utility Bills

• Who Pays These

• Who Receives the Revenue

Background

Public and Communications Service TaxesPST CST

Revenue

$92 Million

ElectricityNatural GasBottled Gas

Manufactured GasWater Service

Fuel Oil

TelecommunicationsCable services

Voice Network

Audio/VideoInternet

Background

PST

CST

Background

• Taxes Allocated Based on Customer Jurisdiction

• Maximizing Revenue by Providing Accurate Addressing Information

• Background

• Addressing and Tax Revenue

• Revenue Forecasting

Presentation Outline

Addressing and Tax Revenue

Central Addressing System

Addressing and Tax Revenue

Central Addressing System

• 911 Communications

Central Addressing System• Desktop

Addressing and Tax Revenue

Addressing and Tax Revenue

Central Addressing System

Addressing and Tax Revenue

Central Addressing System

Addressing and Tax Revenue

ArcMap• Annexations and De-Annexations

Addressing and Tax Revenue

Central Addressing System

Enterprise Addressing System

GIS Repository

FTP Site

Addressing and Tax Revenue

Accurate Addressing Data

• Open Communication

• Quality Checks

• Weekly Addressing Reports

Addressing and Tax Revenue

• Background

• Addressing and Tax Revenue

• Revenue Forecasting

Presentation Outline

Revenue Forecasting

Revenue Forecast – Major Factors

• Development Related GIS Data

• Assist with Auditing

• Understanding Trends

Revenue Forecasting

PST Revenue Forecasting

CST Revenue Forecasting

Revenue Forecasting

Revenue Forecast – Major Factors

• Development Activity and Population Growth

• Accurate Addressing

• Annexations and De-Annexations

ESRI Southeast User Conference

Lisa Wallace-ValerioGIS Analyst

May 2012

Utilizing GIS for Revenue Forecasting

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