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Case Study

How Elastic Centralized and Scaled People Analytics with One Model

Company
Industry
Software
Who We Spoke To
Justin Brousseau, Director of HR Analytics
Company Size
~3,800
"We’ve reached goals we expected to achieve five years from now."
Elastic
The Challenge

Struggling with disparate data

Elastic faced significant issues with data reporting, lacking a single source of truth, with over 150 turnover and 700 headcount reports causing discrepancies. Different tools were used for dashboards (Workday, Tableau, Cabana), leading to confusion and unreliable data. Elastic needed a reliable and organized system, as their rapid growth outpaced their analytics practices.

"We were making decisions possibly based on inaccurate data. We were giving executives potentially the wrong headcount, the wrong turnover," recalls Justin Brousseau, Director of HR Analytics at Elastic. "It was challenging. It was time-consuming. It slowed us down from being able to meet our goals. We needed something that was scalable, flexible, and able to get data to the right people at the right time."

The Solution

Centralizing data for deeper insights

One Model's data architecture offered the scalability Elastic needed to consolidate and manage their diverse data sources. The flexibility of One Model to customize metrics and dimensions to Elastic's internal definitions was pivotal.

"We chose One Model because the data architecture at its core allowed us to scale out our solution to whatever data set we needed. We were able to bring all that into one spot and have that consistent source route for analytics. I knew Visier didn't really have the right data architecture that I was looking for, didn't have the right customizability or flexibility," noted Justin.

The Results

Empowering better decision-making

Implementation of One Model was quick and painless, taking only a few months from signing to launch. One Model facilitated real-time data provision, enabling Elastic to answer critical business questions on the spot.

The company transitioned from basic reporting to more strategic advisory roles, aiding decision-making with accurate people data. Long-term success is seen in getting the right data into the right hands at the right time. Elastic also aspires to integrate additional data types, such as budget and sales performance, for a more holistic view.

In essence, Elastic overcame the challenge of disparate and unreliable data by employing One Model's scalable people analytics platform. The platform empowered them to make data-driven decisions rapidly and move towards more advanced People Analytics strategies.

FAQ

As technology companies grow, workforce data often becomes scattered across recruiting, HR, finance, and reporting systems. Creating a single source of truth helps leaders make faster decisions with consistent, trusted workforce data instead of conflicting reports.
Rapidly growing organizations need People Analytics to scale reporting, improve hiring decisions, monitor workforce trends, and give leaders access to consistent workforce insights as the business evolves.
As organizations add more employees and systems, spreadsheets become difficult to maintain and often produce inconsistent results. A centralized analytics platform helps reduce manual reporting while giving leaders more confidence in workforce decisions.
A scalable workforce data strategy starts by connecting HR, recruiting, finance, and other business systems into one trusted analytics foundation. With modern HR data architecture, organizations can adapt as new systems, metrics, and business needs evolve.
A scalable People Analytics platform should support flexible data models, customizable metrics, secure governance, and the ability to integrate new workforce data sources as business needs change.
Trusted workforce data allows leaders to answer business questions with confidence, identify workforce trends more quickly, and spend less time validating reports and more time acting on reliable insights.
As technology companies grow, workforce data often becomes scattered across recruiting, HR, finance, and reporting systems. Creating a single source of truth helps leaders make faster decisions with consistent, trusted workforce data instead of conflicting reports.
Rapidly growing organizations need People Analytics to scale reporting, improve hiring decisions, monitor workforce trends, and give leaders access to consistent workforce insights as the business evolves.
As organizations add more employees and systems, spreadsheets become difficult to maintain and often produce inconsistent results. A centralized analytics platform helps reduce manual reporting while giving leaders more confidence in workforce decisions.
A scalable workforce data strategy starts by connecting HR, recruiting, finance, and other business systems into one trusted analytics foundation. With modern HR data architecture, organizations can adapt as new systems, metrics, and business needs evolve.
A scalable People Analytics platform should support flexible data models, customizable metrics, secure governance, and the ability to integrate new workforce data sources as business needs change.
Trusted workforce data allows leaders to answer business questions with confidence, identify workforce trends more quickly, and spend less time validating reports and more time acting on reliable insights.

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Case Study
Elastic-logo

COMPANY

Elastic

INDUSTRY

Software

How Elastic centralized and scaled People Analytics with One Model

The Challenge

Struggling with disparate data

Elastic faced significant issues with data reporting, lacking a single source of truth, with over 150 turnover and 700 headcount reports causing discrepancies. Different tools were used for dashboards (Workday, Tableau, Cabana), leading to confusion and unreliable data. Elastic needed a reliable and organized system, as their rapid growth outpaced their analytics practices.

"We were making decisions possibly based on inaccurate data. We were giving executives potentially the wrong headcount, the wrong turnover," recalls Justin Brousseau, Director of HR Analytics at Elastic. "It was challenging. It was time-consuming. It slowed us down from being able to meet our goals. We needed something that was scalable, flexible, and able to get data to the right people at the right time."

The Solution

Centralizing data for deeper insights

One Model's data architecture offered the scalability Elastic needed to consolidate and manage their diverse data sources. The flexibility of One Model to customize metrics and dimensions to Elastic's internal definitions was pivotal.

"We chose One Model because the data architecture at its core allowed us to scale out our solution to whatever data set we needed. We were able to bring all that into one spot and have that consistent source route for analytics. I knew Visier didn't really have the right data architecture that I was looking for, didn't have the right customizability or flexibility," noted Justin.

filter
A single source of truth

"Whether it was Greenhouse, Workday, or the random Excel sheet from our finance partners, we were able to bring all that data into one spot and have a consistent source of truth for analytics."

Scalable people analytics
Flexible people analytics platform

"One Model's Customer Success team really helped us get a customized solution much faster. We definitely needed their input to make crucial decisions on our visualizations and logic. Like any company, we have some quirks. So we appreciate the flexibility in the platform."

Advanced talent insights
Scalable data architecture

"We're moving beyond headcount and turnover reporting. We're moving into talent management and risk mitigation. These are conversations that a company of our scale needs to be having to go further in the market."

The Results

Empowering better decision-making

Implementation of One Model was quick and painless, taking only a few months from signing to launch. One Model facilitated real-time data provision, enabling Elastic to answer critical business questions on the spot.

The company transitioned from basic reporting to more strategic advisory roles, aiding decision-making with accurate people data. Long-term success is seen in getting the right data into the right hands at the right time. Elastic also aspires to integrate additional data types, such as budget and sales performance, for a more holistic view.

In essence, Elastic overcame the challenge of disparate and unreliable data by employing One Model's scalable people analytics platform. The platform empowered them to make data-driven decisions rapidly and move towards more advanced People Analytics strategies.

Better talent insights
Real-time insights

"Being in the room with a leader and answering their questions in real time is fantastic. One Model really helps us show value right away."

More Flexibility
More flexibility

"One Model allows us to customize all our metrics and to go with definitions that we've built internally instead of forcing us into what a vendor requires."

Simpler processes
Simpler processes

"The ability to quickly build Storyboards and present that data in a way that's clean and clear to leaders is crucial. They love how much faster we’ve reached goals we expected to achieve five years from now."

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