Sisense Case Studies Jack Doheny Companies’ Data-Driven Culture Saves Millions Of Dollars

Edit This Case Study Record

	Jack Doheny Companies’ Data-Driven Culture Saves Millions Of Dollars Sisense

Jack Doheny Companies’ Data-Driven Culture Saves Millions Of Dollars

Sisense

Technology Category	Application Infrastructure & Middleware - Data Visualization Analytics & Modeling - Predictive Analytics
Applicable Industries	Transportation Utilities
Applicable Functions	Business Operation Quality Assurance
Use Cases	Fleet Management Predictive Maintenance Process Control & Optimization
Services	System Integration Data Science Services
Challenge	The decision to evaluate BI solutions came in the wake of what could be defined as a “cultural revolution” taking place in JDC: from siloed data, with each stakeholder holding on to his or her own data and only sharing it with others on a “need to know” basis, to a corporate culture of complete transparency of information that aims to make data available to everyone, and challenge them to make good use of it. The data itself was being stored in a Cobalt character-based CRM system running on the IBM RS/6000 platform, as well as Excel spreadsheets. This data consisted of sales, operational, utilization, financial and other data. Prior to Sisense, reporting was done with Excel and Access. JDC has been looking for some sort of dashboard software for roughly two years but did not find any product that could suit their needs, until they ran into Sisense in a user group in which two Sisense customers had presented it. The VP of Parts and Business Systems downloaded the trial version right there at the convention, and within two days was already publishing dashboards. Read More
About Customer	Jack Doheny Companies (JDC) is the North American market leader in vacuum equipment, specializing in large vacuum trucks used for sucking up waste, liquid or dry product. The company’s current annual sales cycle is around $220 million dollars, and it has some 750-800 trucks in its rental fleet. JDC runs its operations from 16 facilities spread throughout the United States and Canada. The company has a significant presence in the vacuum equipment industry, running a fleet of hundreds of trucks covering the United States and Canada. JDC is a multi-million dollar company with a strong market position and a large operational footprint. Read More
Solution	Sisense was ultimately selected due to its ease of use, and mainly the product’s ability to merge large datasets. JDC stores its data in many Sort and Filter tables created in Excel in order to refine and consolidate the data from the CRM. The ability to pull in the Excel data and mash-up with the Cobalt (CRM) data was a game-changer. JDC were similarly wowed by Sisense’s performance: generating an Elasticube build of 4 million rows takes a mere few minutes. During the trial they were quickly able to replicate what they had been doing in Excel, then started playing around with other features such as the heatmaps and were immediately sold on Sisense. Since Sisense was deployed in JDC, data has started driving strategic business decisions. For example, the company planned to spend $250 million on equipment in one year – but after visualizing the data in BI dashboards and displaying the locations and utilization rates of trucks, that figure was reduced to $130 million. Part of this was due to external circumstances, but part was the result of viewing a heatmap visualizing the locations of the company’s current fleet of trucks, which made executives realize that there were holes in their coverage in the USA – which in turn led to a decision to open two additional facilities. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Visualization

Analytics & Modeling - Predictive Analytics

Applicable Industries

Transportation

Utilities

Applicable Functions

Business Operation

Quality Assurance

Use Cases

Fleet Management

Predictive Maintenance

Process Control & Optimization

Services

System Integration

Data Science Services

Challenge

The decision to evaluate BI solutions came in the wake of what could be defined as a “cultural revolution” taking place in JDC: from siloed data, with each stakeholder holding on to his or her own data and only sharing it with others on a “need to know” basis, to a corporate culture of complete transparency of information that aims to make data available to everyone, and challenge them to make good use of it. The data itself was being stored in a Cobalt character-based CRM system running on the IBM RS/6000 platform, as well as Excel spreadsheets. This data consisted of sales, operational, utilization, financial and other data. Prior to Sisense, reporting was done with Excel and Access. JDC has been looking for some sort of dashboard software for roughly two years but did not find any product that could suit their needs, until they ran into Sisense in a user group in which two Sisense customers had presented it. The VP of Parts and Business Systems downloaded the trial version right there at the convention, and within two days was already publishing dashboards.

About Customer

Jack Doheny Companies (JDC) is the North American market leader in vacuum equipment, specializing in large vacuum trucks used for sucking up waste, liquid or dry product. The company’s current annual sales cycle is around $220 million dollars, and it has some 750-800 trucks in its rental fleet. JDC runs its operations from 16 facilities spread throughout the United States and Canada. The company has a significant presence in the vacuum equipment industry, running a fleet of hundreds of trucks covering the United States and Canada. JDC is a multi-million dollar company with a strong market position and a large operational footprint.

Solution

Sisense was ultimately selected due to its ease of use, and mainly the product’s ability to merge large datasets. JDC stores its data in many Sort and Filter tables created in Excel in order to refine and consolidate the data from the CRM. The ability to pull in the Excel data and mash-up with the Cobalt (CRM) data was a game-changer. JDC were similarly wowed by Sisense’s performance: generating an Elasticube build of 4 million rows takes a mere few minutes. During the trial they were quickly able to replicate what they had been doing in Excel, then started playing around with other features such as the heatmaps and were immediately sold on Sisense. Since Sisense was deployed in JDC, data has started driving strategic business decisions. For example, the company planned to spend $250 million on equipment in one year – but after visualizing the data in BI dashboards and displaying the locations and utilization rates of trucks, that figure was reduced to $130 million. Part of this was due to external circumstances, but part was the result of viewing a heatmap visualizing the locations of the company’s current fleet of trucks, which made executives realize that there were holes in their coverage in the USA – which in turn led to a decision to open two additional facilities.

Impact #1	Data-driven decision making has become a core part of JDC's operations, leading to more informed strategic decisions.
Impact #2	The company has achieved significant time management improvements, particularly in measuring the direct/indirect time ratio of general managers.
Impact #3	Sisense has enabled JDC to consolidate data from various sources into easily digestible visualizations, replacing lengthy reports.

Impact #1

Data-driven decision making has become a core part of JDC's operations, leading to more informed strategic decisions.

Impact #2

The company has achieved significant time management improvements, particularly in measuring the direct/indirect time ratio of general managers.

Impact #3

Sisense has enabled JDC to consolidate data from various sources into easily digestible visualizations, replacing lengthy reports.

Benefit #1	The planned expenditure on equipment was reduced from $250 million to $130 million after visualizing data in BI dashboards.
Benefit #2	The direct/indirect time ratio at the largest JDC facility was increased by 67%.

Benefit #1

The planned expenditure on equipment was reduced from $250 million to $130 million after visualizing data in BI dashboards.

Benefit #2

The direct/indirect time ratio at the largest JDC facility was increased by 67%.

Download PDF Version

Overview

Jack Doheny Companies’ Data-Driven Culture Saves Millions Of Dollars

Operational Impact

Quantitative Benefit