Educated both business and technology leadership at Cartus to develop a process to define key elements of strategy and consensus building
Having moved over 2.3 MM people for work in the last 30 years alone, Cartus is the largest global relocation management company (RMC) in the world by volume. For more than 60 years, Cartus has helped relocating employees and their families find their way to new homes, new communities, and new experiences. They do it through an unwavering focus on listening and delivering services, solutions, and expertise that respond to their needs and the needs of their client companies around the world.
Cartus had a strong understanding of business intelligence and data warehousing. They had a structured data environment with some rigor around data governance and business processes for how data was managed during the life cycle.
They were looking to build a data science program that would provide increased customer value, leverage their wealth of data, and help drive them forward and transform from a traditional RMC to a “data-first,” “technology-first” organization within their industry.
SOLUTION: AI JUMP-START
Ironside’s data scientists, data engineers and Experience Design team engaged with Cartus on an “AI Jump-Start” to implement predictive analytics capabilities to enhance their relocation products for their corporate clients with decision support. Ultimately, this would allow Cartus to enable the sales and client services organizations to make their products even more attractive to their customers.
We applied the 5 phases on the AI Jump-Start to ensure that the end result was tailored to Cartus’ needs:
Provide AI Education
Establish AI Governance
Develop AI Use Cases
Pilot the AI Solution
Deploy Technology for Speed & Scale
KEYS TO SUCCESS
For this initiative, Ironside partnered with DataRobot on AWS EC2 to be the catalyst for a data science practice within Cartus: their Leading Edge Analytics Practice, or LEAP. This partnership enabled the non-data scientist knowledge workers to contribute and made the life cycle of the machine learning model easily manageable within a few clicks of the entire platform.
Cartus is a lean team that was trying to build this capability out within the organization in an intelligent and effective manner.
As a consulting organization, we expect certain hiccups along the way and are capable of processing and dealing with any obstacles. When things get busy, we can bring in the right amount of resources to address the issues, and when it slows down, we can ramp down. We encourage our clients to be smart in terms of how they spend their money very early on in the process. This was advantageous to Cartus – we were working with them to build a long-term, sustaining program.
By working collaboratively with Ironside throughout this entire process, Cartus was able to see many benefits, including:
Cartus wanted to be smart, run lean, and create a great amount of leverage in their data science capability. Cartus did not have any data scientists on staff when we started the process, but they did have operations researchers, industrial engineers and data analysts/domain experts that knew a lot about their business, the data and the processes. We felt that DataRobot on AWS was the perfect platform to be the catalyst for a data science practice within Cartus.
Cartus has used DataRobot to help their corporate clients forecast volume (using time series), predict individual move time and expenses, and even be able to determine when a relocating employee is at risk for exceeding the budget or experiencing a delay in the process.
ENABLE AI AT YOUR ORGANIZATION
Ironside’s AI Jump-Start is an accelerator offering comprised of targeted consulting and a pre-integrated suite of tools that that support the full data governance, management and data science life cycle, with DataRobot being an integral link in that value chain.
The platform is an answer to a recurring problem that we’ve observed in our clients who are new to data science, or perhaps more used to doing traditional data warehousing and BI. They have sometimes struggled to implement a program and architect an environment that is optimized for machine learning and the high-speed agile iterations that are more germane to data science.
We’re seeking to remove this friction from the process and more rapidly create value with machine learning by simplifying this critical early phase of their journey.
IRONSIDE IS A DATAROBOT PARTNER
Through our experiences we’ve formulated a point-of-view on how data science should work in practice and how to develop use cases that generate real value. We also have a core belief that if we seek to enable more non-data scientists to answer questions in a data science way, using statistical or machine learning methods over visual methods alone, that they and their organizations would be much smarter, and mature faster in their use of data for decision making.
DataRobot is a manifestation of our core values. Our partnership is a combination of platform as well as the compatibility of our approach and people.