Technology

Revenue Operations (RevOps) empowers organizations to adapt quickly to market changes, identify growth opportunities, and scale effectively. In this article we explore how the four pillars of RevOps impact the bottom line and how organizations can strategically activate RevOps.

In the ever-evolving digital landscape, businesses must embrace change and adapt to stay ahead of the competition. In this blog series, we will be focusing on one aspect of the digital transformation process that often gets overlooked yet is essential for business existence and success: Revenue Operations (RevOps).

Consultant Lindsey Santamaria discusses her engagement with a national pet care provider, supporting a large-scale Oracle re-implementation project.

Senior Consultant Keith McCarthy shares the impact and details of his recent engagement with a national education and child care provider, supporting a customer experience and data structure initiative.

Decision Insights and Data Services Manager Ande Olson recently completed an engagement with a national insurance carrier supporting an actuarial transformation initiative. In the third part of our industry spotlight, Ande shares how the project came to life and the impact delivered.

Senior Consultant Frank Gleason recently completed an engagement with a large national insurance provider supporting a data integration and data vendor implementation initiative. In this industry spotlight, Frank discusses his unique approach and the results of the project.

Recently members of our team completed an engagement with a national insurance provider supporting multiple strategic initiatives. In this industry spotlight, we share the process and impact of our team’s work.

TGG’s Danny Quarrell explores how a mix of enablement projects alongside your game changing Transformational projects are key to a healthy Actuarial Transformation Program.

Matt Jamison, Principal Consultant and Service Leader for TGG’s Technology Practice, shares strategies to mitigate tech debt and use your data to its fullest potential.