lastID = -10080309
Skip to main content Skip to top navigation Skip to site search
Top of page
  • My citations options
    Web Back (from Web)
    Chicago Back (from Chicago)
    MLA Back (from MLA)
Close action menu

You need to login to use this feature.

Please wait a moment…
Please wait while we update your results...
Please wait a moment...
Description: Access Water
Context Menu
Description: A Collaborative Approach to Business Intelligence Software Selection
A Collaborative Approach to Business Intelligence Software Selection
  • Browse
  • Compilations
    • Compilations list
  • Subscriptions
Tools

Related contents

Loading related content

Workflow

No linked records yet

X
  • Current: 2023-08-16 07:47:11 Adam Phillips
  • 2022-05-06 19:55:31 Adam Phillips
  • 2022-05-06 19:55:30 Adam Phillips
  • 2022-02-18 08:37:25 Adam Phillips Release
  • 2022-02-09 16:59:08 Adam Phillips
Description: Access Water
  • Browse
  • Compilations
  • Subscriptions
Log in
0
Accessibility Options

Base text size -

This is a sample piece of body text
Larger
Smaller
  • Shopping basket (0)
  • Accessibility options
  • Return to previous
Description: A Collaborative Approach to Business Intelligence Software Selection
A Collaborative Approach to Business Intelligence Software Selection

A Collaborative Approach to Business Intelligence Software Selection

A Collaborative Approach to Business Intelligence Software Selection

  • New
  • View
  • Details
  • Reader
  • Default
  • Share
  • Email
  • Facebook
  • Twitter
  • LinkedIn
  • New
  • View
  • Default view
  • Reader view
  • Data view
  • Details

This page cannot be printed from here

Please use the dedicated print option from the 'view' drop down menu located in the blue ribbon in the top, right section of the publication.

screenshot of print menu option

Description: A Collaborative Approach to Business Intelligence Software Selection
A Collaborative Approach to Business Intelligence Software Selection
Abstract
Clayton County Water Authority (CCWA) provides clean, quality drinking water and wastewater collection and treatment to its estimated 275,000 residential, commercial, and industrial customers in Clayton County, GA as well as portions of Fulton County and Henry County. CCWA recently developed a performance management model that identifies strategic and operational metrics aligned with its strategic goals for each department. To effectively track and communicate organizational performance against these metrics to stakeholders, CCWA sought to select an enterprise business intelligence (BI) software to be deployed across the organization. The first step to successful selection and implementation of an enterprise BI software was to develop a robust understanding of CCWA's existing software architecture. Data characterization workshops were held to identify software systems and databases used by each department and distinguish them by hosting environment, user groups, integration with other databases or software systems, general functions, workflows, and reporting needs. This information served as the basis for creating a detailed software architecture map, which provides CCWA with valuable insight into their existing system and a vision for how an enterprise BI software would tie into their existing infrastructure. Information gathered during the data characterization workshops was also critical in defining the BI software evaluation criteria. An initial list of performance criteria was developed based on industry experience and narrowed to focus on key areas of interest for each department within CCWA. The final criteria included a variety of attributes for enterprise BI software including: - Compatibility, which focuses on the ability of the software to integrate with CCWA's existing system and transform data into the correct structure required for creating dashboards. - Development and Maintainability, which includes support for a mature formula language, a scalable and flexible data model structure, integrated metadata capabilities, and consideration for staff resiliency. - User Interface, which centers on the ability of the software to create compelling, easily understood, interactive visualizations of CCWA's strategic and operational metrics. - Ecosystem Capabilities, which considers the ability of the software to enable platform security, administration, and sharing in cloud-based and on-premises environments, and the ability of the software to integrate machine learning techniques. - Market Stability, which focuses on how well the company that owns the BI software has supported its development and innovation in the past and the company's vision for the future. Taking time to gather input from a variety of stakeholders including Board members, general management, department directors, and CCWA staff was critical to the successful selection and implementation of the enterprise BI software. Clearly demonstrating how stakeholder input from the data characterization workshops was incorporated into the BI software evaluation criteria promoted interest, buy-in, and trust across the organization. This presentation will discuss the collaborative approach used to evaluate and select an enterprise BI software including data characterization, development of selection criteria, software evaluation and testing, selection of a final enterprise BI software, and development of a roadmap to ensure successful implementation.
This paper was presented at the WEF/AWWA Utility Management Conference, February 21-24, 2022.
SpeakerHouseman, Ann
Presentation time
11:00:00
11:30:00
Session time
10:30:00
12:00:00
SessionData Management
Session number2
Session locationHyatt Regency Grand Cypress, Orlando, Florida
TopicAsset Management, Business Intellligence, Business Process Optimization, Condition Assessment, Data Analytics, Data Management, Management Systems, Risk Analysis
TopicAsset Management, Business Intellligence, Business Process Optimization, Condition Assessment, Data Analytics, Data Management, Management Systems, Risk Analysis
Author(s)
A. HousemanL. Chamblin
Author(s)A. Houseman 1; L. Chamblin 2
Author affiliation(s)Hazen and Sawyer 1; Clayton County Water Authority 2
SourceProceedings of the Water Environment Federation
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Feb 2022
DOI10.2175/193864718825158241
Volume / Issue
Content sourceUtility Management Conference
Copyright2022
Word count9

Purchase price $11.50

Get access
Log in Purchase content Purchase subscription
You may already have access to this content if you have previously purchased this content or have a subscription.
Need to create an account?

You can purchase access to this content but you might want to consider a subscription for a wide variety of items at a substantial discount!

Purchase access to 'A Collaborative Approach to Business Intelligence Software Selection'

Add to cart
Purchase a subscription to gain access to 18,000+ Proceeding Papers, 25+ Fact Sheets, 20+ Technical Reports, 50+ magazine articles and select Technical Publications' chapters.
Loading items
There are no items to display at the moment.
Something went wrong trying to load these items.
Description: A Collaborative Approach to Business Intelligence Software Selection
A Collaborative Approach to Business Intelligence Software Selection
Pricing
Non-member price: $11.50
Member price:
-10080309
Get access
-10080309
Log in Purchase content Purchase subscription
You may already have access to this content if you have previously purchased this content or have a subscription.
Need to create an account?

You can purchase access to this content but you might want to consider a subscription for a wide variety of items at a substantial discount!

Purchase access to 'A Collaborative Approach to Business Intelligence Software Selection'

Add to cart
Purchase a subscription to gain access to 18,000+ Proceeding Papers, 25+ Fact Sheets, 20+ Technical Reports, 50+ magazine articles and select Technical Publications' chapters.

Details

Description: A Collaborative Approach to Business Intelligence Software Selection
A Collaborative Approach to Business Intelligence Software Selection
Abstract
Clayton County Water Authority (CCWA) provides clean, quality drinking water and wastewater collection and treatment to its estimated 275,000 residential, commercial, and industrial customers in Clayton County, GA as well as portions of Fulton County and Henry County. CCWA recently developed a performance management model that identifies strategic and operational metrics aligned with its strategic goals for each department. To effectively track and communicate organizational performance against these metrics to stakeholders, CCWA sought to select an enterprise business intelligence (BI) software to be deployed across the organization. The first step to successful selection and implementation of an enterprise BI software was to develop a robust understanding of CCWA's existing software architecture. Data characterization workshops were held to identify software systems and databases used by each department and distinguish them by hosting environment, user groups, integration with other databases or software systems, general functions, workflows, and reporting needs. This information served as the basis for creating a detailed software architecture map, which provides CCWA with valuable insight into their existing system and a vision for how an enterprise BI software would tie into their existing infrastructure. Information gathered during the data characterization workshops was also critical in defining the BI software evaluation criteria. An initial list of performance criteria was developed based on industry experience and narrowed to focus on key areas of interest for each department within CCWA. The final criteria included a variety of attributes for enterprise BI software including: - Compatibility, which focuses on the ability of the software to integrate with CCWA's existing system and transform data into the correct structure required for creating dashboards. - Development and Maintainability, which includes support for a mature formula language, a scalable and flexible data model structure, integrated metadata capabilities, and consideration for staff resiliency. - User Interface, which centers on the ability of the software to create compelling, easily understood, interactive visualizations of CCWA's strategic and operational metrics. - Ecosystem Capabilities, which considers the ability of the software to enable platform security, administration, and sharing in cloud-based and on-premises environments, and the ability of the software to integrate machine learning techniques. - Market Stability, which focuses on how well the company that owns the BI software has supported its development and innovation in the past and the company's vision for the future. Taking time to gather input from a variety of stakeholders including Board members, general management, department directors, and CCWA staff was critical to the successful selection and implementation of the enterprise BI software. Clearly demonstrating how stakeholder input from the data characterization workshops was incorporated into the BI software evaluation criteria promoted interest, buy-in, and trust across the organization. This presentation will discuss the collaborative approach used to evaluate and select an enterprise BI software including data characterization, development of selection criteria, software evaluation and testing, selection of a final enterprise BI software, and development of a roadmap to ensure successful implementation.
This paper was presented at the WEF/AWWA Utility Management Conference, February 21-24, 2022.
SpeakerHouseman, Ann
Presentation time
11:00:00
11:30:00
Session time
10:30:00
12:00:00
SessionData Management
Session number2
Session locationHyatt Regency Grand Cypress, Orlando, Florida
TopicAsset Management, Business Intellligence, Business Process Optimization, Condition Assessment, Data Analytics, Data Management, Management Systems, Risk Analysis
TopicAsset Management, Business Intellligence, Business Process Optimization, Condition Assessment, Data Analytics, Data Management, Management Systems, Risk Analysis
Author(s)
A. HousemanL. Chamblin
Author(s)A. Houseman 1; L. Chamblin 2
Author affiliation(s)Hazen and Sawyer 1; Clayton County Water Authority 2
SourceProceedings of the Water Environment Federation
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Feb 2022
DOI10.2175/193864718825158241
Volume / Issue
Content sourceUtility Management Conference
Copyright2022
Word count9

Actions, changes & tasks

Outstanding Actions

Add action for paragraph

Current Changes

Add signficant change

Current Tasks

Add risk task

Connect with us

Follow us on Facebook
Follow us on Twitter
Connect to us on LinkedIn
Subscribe on YouTube
Powered by Librios Ltd
Powered by Librios Ltd
Authors
Terms of Use
Policies
Help
Accessibility
Contact us
Copyright © 2024 by the Water Environment Federation
Loading items
There are no items to display at the moment.
Something went wrong trying to load these items.
Description: WWTF Digital Boot 180x150
WWTF Digital (180x150)
Created on Jul 02
Websitehttps:/­/­www.wef.org/­wwtf?utm_medium=WWTF&utm_source=AccessWater&utm_campaign=WWTF
180x150
A. Houseman# L. Chamblin. A Collaborative Approach to Business Intelligence Software Selection. Water Environment Federation, 2022. Web. 19 Jun. 2025. <https://www.accesswater.org?id=-10080309CITANCHOR>.
A. Houseman# L. Chamblin. A Collaborative Approach to Business Intelligence Software Selection. Water Environment Federation, 2022. Accessed June 19, 2025. https://www.accesswater.org/?id=-10080309CITANCHOR.
A. Houseman# L. Chamblin
A Collaborative Approach to Business Intelligence Software Selection
Access Water
Water Environment Federation
February 22, 2022
June 19, 2025
https://www.accesswater.org/?id=-10080309CITANCHOR