GITA Conference 30: Business Intelligence Sessions

View a case study of a unique method of asset data capture.
See detailed experiences of the advantages and disadvantages of data capture methods.
Get lessons on business benefit.

With 1.2 million network diagrams that required digitization, an enormous effort was required to carry out BT’s Network Data Transformation project. A fast and practical new method of data transformations was essential. This paper will explain the solution along with benefits and experiences of the project that converted scanned digital diagrams into fully integrated geographical information.
Copresenter: Allan Hagan, British Telecom

9:00–9:45 a.m.
An Embedded Approach to GIS and WMS Integration
William Heise, EMA, Inc.
Track: Business Intelligence/Work and Asset Management
E, G, PS, W

Learning Objectives:

Learn an approach to integrating GIS and WMS.
Understand benefits that can be realized through seamless integration.
Discover process improvements through the use of geospatial technology.

Utilities have implemented a variety of business systems such as work and asset management systems (WMS), customer information systems (CIS), and geographic information systems (GIS). This case study explores how the Honolulu Board of Water Supply (HBWS) has integrated its Maximo Enterprise Asset Management System with ArcGIS using an embedded mapping approach. By embedding GIS objects into Maximo’s Web architecture, HBWS has gained efficiencies in work initiation, planning, scheduling, and performance processes.

10:00–10:45 a.m.
Where Should My Asset Data Be?
Hahn Tram, Enspiria Solutions, Inc.
Track: Business Intelligence/Work and Asset Management
E, G

Learning Objectives:

Learn how to integrate GIS asset data with financial and operational systems.
Understand how to maintain and QA/QC asset data across applications and processes.
Know how to architect a distributed or federated asset registry.

Utilities often have their T&D asset data in different systems, from financial accounting and enterprise resource management to GIS and SCADA, for example. How can the user access and maintain the data across these different platforms? Where should the master data be? Should the integrated asset registry be geospatial, financial, or time-series based? Should the architecture be federated, distributed, or centralized? The answers to these questions will be explored through a sampling of utility practices.

11:00–11:45 a.m.
Spatial Data Warehousing
William P. Geer, Geer Services, Inc.
Track: Business Intelligence/Work and Asset Management
A

Learning Objectives:

Learn how spatial data can be leveraged throughout a corporation.
Discover innovative uses for spatial data when combined with other corporate data.
Understand new business benefits that result through spatial data warehousing.

Companies have spent years populating databases with information that is valuable in many ways. Departments create data each day as part of normal business operations; however, data may be managed in many different information technology systems. This paper explores how spatial data warehousing used in conjunction with a Web portal can unify dysfunctional data, create revenue opportunities, improve productivity, and reduce expenses by fully utilizing a corporation’s valuable data assets.

1:00–1:45 p.m.
Mobile Asset Management Success: Metrics Are the Key
Barbara Lyon, Sapias, Inc.
Track: Business Intelligence/Work and Asset Management
A

Learning Objectives:

Understand how to select the appropriate metrics to measure.
Learn how to translate GPS-based metrics into business information.
Discover how metrics can be used to influence behavior.

GPS and mobile asset management can revolutionize field operations, but translating location data into business metrics can be challenging. Barbara Lyon spent 12 years at FedEx Express Operations and has managed numerous GPS and mobile asset management implementations. Her presentation will review lessons she learned from real-world implementations, including why projects were initiated; how metrics were selected, calculated, and linked to key performance indicators; and how operational performance improved as a result.
Copresenters: Jim Panttaja, Sapias, Inc.; Bill Creekbaum, Sapias, Inc.

Wednesday, March 7, 2007

8:00–8:45 a.m.
Geographic Income Indicators Based on Electricity Consumption—A Potential New Business for Electric Companies
Eduardo Francisco, AES Eletropaulo
Track: Business Intelligence/Work and Asset Management
E, PS

Learning Objectives:

Understand the methodology to generate geographic electricity-income indicators.
Understand the relationship between electricity consumption and household income.
Understand potential benefits of a new business for electric companies.

Income indicators based on electricity consumption can be almost automatically generated by electric companies using GIS techniques and the integration between electricity consumption of residential customers and data of demographic census. This paper investigates the relationship between electricity consumption, economic classification, and household income, by means of comparing Brazilian Census Micro-Data with the customer database of AES Eletropaulo—a large Brazilian electric distribution company. This is a potential new business model for electric companies.
Copresenters: Felipe Zambaldi, Fundacao Getulio Vargas - EAESP; Francisco Aranha, Fundacao Getulio Vargas - EAESP

9:00–9:45 a.m.
THROUGH THE LOOKING GLASS: GIS AND WORK AND ASSET MANAGEMENT
Charles Drinnan, eWAM Associates
Track: Business Intelligence/Work and Asset Management
E, G, W

Learning Objectives:

Learn how utilities have increased the benefits of GIS and WAM.
Discuss modern integration capabilities using service-oriented architectures.
Identify the latest requirements for GIS and WAM integration.

As work and asset management (WAM) users gaze through the GIS looking glass, they gain increased benefits by effectively using new GIS and WAM capabilities. Since 1993, utilities have spatially located work requests, non-redundantly defined WM designs, and maintained permanent records accurately. This paper identifies the latest integration requirements and tracks the evolution of this integration through changes in system capability, contracting approaches, modern integration standards, improved design capabilities, field access, and Web capabilities.

9:00-9:45 a.m.
Pushing Up Business Intelligence While Pushing Down Costs
Brian Owenson, SPL World Group
Track Business Intelligence/Work & Asset Management

Learning Objectives:

Learn to differentiate types and costs of business intelligence tools.
Determine how to keep BI upgradeable when upgrading base applications.
Differentiate BI tools by job level and project goal.

This paper will help audience members sort through the increasingly complex marketplace for business intelligence tools. It will help audience members determine: the suitability of the BI application to the project’s goals; the staff level(s) that can be expected to use it effectively; appropriate expectations for single-application versus multi-application BI tools; and how to optimize use of BI within an organization while keeping costs low.

10:00–10:45 a.m.
Case Study: How GPS and Mobile Asset Management Are Improving the Customer Experience at NSTAR
Douglas Foley, NSTAR
Track: Business Intelligence/Work and Asset Management
A

Learning Objectives:

Learn how GPS can enhance customer communications.
Discover the benefits of linking mobile asset management with OMS.
Understand how to fully leverage GIS investments with mobile asset management.

With another year of major storm events, NSTAR recognized that customer satisfaction with response to any crisis situation is largely driven by how well the utility company can keep customers informed. This case study highlights the benefits that NSTAR gained by linking GPS and mobile asset management with its outage management system (OMS) and GIS technology to enhance customer communications while improving outage restorations and reducing Customer Average Interruption Duration Indices.
Copresenters: Scott Harris, Sapias, Inc.; Stuart Bagshaw, Sapias, Inc.; Kathleen Hayes, Sapias, Inc.

Questions about Annual Conference 30? Contact us!
Phone: 303-337-0513 Fax: 303-337-1001 E-mail: info@gita.org