Teragonia

Features

Data Integration Connect disparate source data systems to a data warehouse, regardless of system sophistication.

Data Modeling Create bespoke enterprise data models to enable downstream analytics and AI solutions for faster growth.

Analytics Enablement Develop curated analytics and AI solutions to identify, monitor, and capture EBITDA improvement opportunities.

Operationalization Partner with management to realize a $250+ million enterprise value boost through analytics enablement.

Establish Analytics Foundation Rapidly integrate data from disparate systems to establish a single source of truth, enabling granular performance analysis across customers, products, services, and locations. Real-time reporting on leading performance indicators empowers management to ask the right questions and take timely action. Our analytics foundation layers are designed for rapid integration of bolt-on acquisitions, a key component of PE value creation.

Accelerate Profitable Growth Our analytics engineering and AI solutions are designed for rapid deployment, typically generating a $250+ million enterprise value boost depending on the runway and business scale. We deliver targeted insights for EBITDA improvements using our diagnostics tools within weeks. Our AI solutions help business leaders optimize customer, product, services, and location portfolios as well as resource allocation.

Prepare for Exit Our team, with deep M&A expertise spanning over 400 transactions worth more than $400 billion, helps PE investment teams and portfolio company management maximize exit value. We co-develop proformas pre-exit, empirically defend adjustments during the exit process, and efficiently serve reliable data to sell-side advisors, bidders, and buy-side advisors through sophisticated technologies.

Revenue & Margin Gain granular insights into business risks and value creation opportunities from transaction-level invoice data. Use multi-dimensional analytics to analyze price-volume-mix trends, customer cohort behaviors, customer churn risk, and end-market patterns.

Customer Retention Uncover retention improvement, up-sell, and cross-sell opportunities from customer contact-level data on bookings or billings information. Utilize industry-standard revenue roll forward and retention analytics for recurring-revenue model businesses.