Data Innovation Lab

Identify, validate, then deliver solutions for driving data innovation within your organization — all within time-boxed cycles.

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man driving a semi truck with magnifying glass and data elements overlay
man driving a semi truck with magnifying glass and data elements overlay

With an excess of data, disparate systems, and multiple service lines, transportation and logistics organizations can lag behind other industries when it comes to innovation. Pilot use cases that focus on speed to market and team efficiencies ensure you’ll put your dollars behind only the most impactful changes to your business.

We’ve partnered with some of the world’s largest T&L leaders through our teach + do model: embedding closely with teams to ID problems and opportunities, and then accelerate scalable solutions.

Guide: Applying Agile to Your Data Projects

Explore our guide to quickening your pace of data change through agile practices.

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You May Need This If…

  • You organization has multiple data initiatives but lacks ROI
  • Ideas circulate and evolve but don’t get off the ground
  • You’re ready to adapt to the needs of the market more quickly
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How We Can Help

We’ll stand up a cross-functional team, either embedded or fully independent, within your organization to vet and execute ideas for innovating with your data. With our innovation frameworks, you’ll get to data ROI faster.

Embedded strategic team that will teach + do
Repeatable frameworks for standing up new initiatives
Functional prototypes with roadmaps 
Ongoing executional support

Explore Other T&L Offerings

Guide

Applying Agile to Speed Up Your Data Projects

one man with glasses holding a box, looking at information on a tablet, being held by a woman

Whether your data project involves building a data model, a data visualization, applying machine learning, or data integration, taking an agile approach will get you better results, faster.

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Article

Illuminating the Truth from Transportation & Logistics Data

Two bald men, both smiling, one with a clean face, the other with a beard and glasses

RevUnit CEO Michael Paladino recently sat down with Matthew Harding, SVP of Data Science at Transplace, for a dynamic conversation around data integration.

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Guide

Understanding & Implementing Recommendation Engines

two women, co-workers, searching on their laptop

Businesses across all industries can use these systems to create a better experience for customers while also helping employees make more-informed decisions.

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Are you looking to create change, faster, with your data?

We can help you make that happen. Let's set up a time to discuss how.

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