Our Decision Intelligence Solution encompasses the Astradis platform, tech-enabled business operations solutions delivered through the platform, and customer success services for change management and pervasive user adoption. Together, it provides a one-stop-shop experience for companies to leverage data and AI for rapid profitable scaling.
The Decision Intelligence Solution delivers value through a seamless blend of technology, operational PE and M&A experience and AI expertise, and provides ongoing support to drive business growth and sustainable competitive advantage.
Our proprietary analytics and AI platform enables rapid, fully managed platform deployment and the development of solutions required to drive business performance, while supporting co-development and collaboration by your internal data team.
Astradis integrates over 10 capabilities into a unified, scalable analytics and AI platform enabling smarter, faster decision-making across the organization.
Astradis integrates quickly into any tech stack, regardless of system complexity, enabling rapid deployment and scalability for rapid organic and inorganic growth.
Astradis is a co-development platform. This co-development DNA enables our clients to invest in internal data professionals over time without the need for complex onboarding or workload migrations.
Drive measurable results with solutions designed to maximize revenue, streamline operations, and deliver value at every stage of your growth journey.
Go from zero-to-one with a scalable, operational analytics foundation that delivers granular visibility into strategic KPIs and unlocks AI solutions downstream to elevate systemic performance.
Achieve tangible revenue growth and margin improvement through custom solutions which address your strategic and operational imperatives. From pricing and sales effectiveness, maximizing customer and revenue retention, to driving sales and operations planning, we leverage analytics to drive performance.
Streamline exit processes with cloud hosted “Deals Data Warehouse”, and automated self-service databooks— no more time consuming and expensive roll-forwards. Live, high-quality data at your fingertips when and where you need it.
Develop a sustainable data capability with tailored change management and empower your team to maximize ROI on the Decision Intelligence Solution.
Drive organizational adoption with effective change management strategies to seamlessly embed the Biz Ops solutions in strategic planning and execution work flows.
Empower users and operationalize analytics through structured training supported by robust documentation for seamless adoption and sustained success.
Facilitate a smooth handover of the Decision Intelligence Solution, equipping your team with the knowledge, resources, and support needed to independently manage analytics assets.
Connect disparate source data systems to data warehouse, regardless of the system age or complexity
Create bespoke enterprise data models to enable downstream analytics and AI solutions for faster growth
Develop curated analytics and AI solutions to identify, monitor and capture EBITDA improvement opportunities
Partner with management to realize $100+ million enterprise value boost through AI and analytics enablement
Connect disparate source data systems to data warehouse, regardless of the system age or complexity
Our data integration solution sits atop existing systems (e.g., Payroll, ERP, HR, Point-of-Sale, etc.) and delivers better results, in a faster timeline, and with more capabilities than a traditional ERP overhaul.
Create bespoke enterprise data models to enable downstream analytics and AI solutions for faster growth
An enterprise data model is a grouping of data, relationships and KPIs that serves as the source of truth for downstream analytics and AI solutions. In other words, it can be thought of as a master pivot table at the enterprise level, for performing any analysis.
Poor data model planning and design compounds to an exponential problem due to the growth under PE ownership. As the company grows rapidly through acquisitions and organic value creation initiatives, the data sources grow larger and more disparate. Therefore, it is vital to have a robust, well-designed enterprise data model to support and augment data-driven strategies. We deeply understand your business strategies and custom design the optimal data model for you, that can withstand the pressures of rapid organic and inorganic growth.
Develop curated analytics and AI solutions to identify, monitor and capture EBITDA improvement opportunities
Live KPI reports: Once the data modeling has been complete we develop live KPI reporting focusing on select performance indicators that materially influence the business growth. We advise and guide the management in identifying and defining the KPIs leveraging our extensive PE experience.
Value creation diagnostics: Soon after the live KPI reporting is activated, we develop pointed insights for EBITDA gains using our proprietary revenue and margin diagnostics tools. Typically, we identify 2% – 5+% actionable EBITDA improvement opportunities. If we are engaged post-close, we develop the analytics and AI solutions to capture these gains. If we are engaged post mid-holding period, then we work with the sponsor and the C-suite to develop pro-forma EBITDA adjustments to capture the value during exit.
AI solutions: Our bespoke AI solutions primarily focus on top-line growth and includes recommendation engines, live sales lead scoring, smart segmentation, dynamic pricing, and smart bundling and discounting solutions and many more. Contact us to learn more about how we can help you with generative AI solutions.
Partner with management to realize $100+ million enterprise value boost through AI and analytics enablement
Reliable data only benefits decision-makers when they are equipped to act on it. Our experienced management consultants and transformation leaders excel in helping management foster a data-driven culture. We focus on crucial aspects such as cross-functional coordination and eliminating roadblocks to activate metric-oriented business planning and monitoring. We work closely with management in identifying strategies to embed the analytics insights in strategic planning and tactical monitoring. Successfully implementing these strategies is vital for realizing the expected enterprise value. If the analytics program is not managed effectively, i.e., if the human resources attached to the operational processes are not enabled to act based on the analytics insights, then the time, effort and amount invested in the analytics program could be an utter waste. We empower and enable investors and operators to confidently drive successful outcomes through our tools, expertise and playbooks.
Our data integration solution sits atop existing systems (e.g., Payroll, ERP, HR, Point-of-Sale, etc.) and delivers better results, in a faster timeline, and with more capabilities than a traditional ERP overhaul.
An enterprise data model is a grouping of data, relationships and KPIs that serves as the source of truth for downstream analytics and AI solutions. In other words, it can be thought of as a master pivot table at the enterprise level, for performing any analysis.
Poor data model planning and design compounds to an exponential problem due to the growth under PE ownership. As the company grows rapidly through acquisitions and organic value creation initiatives, the data sources grow larger and more disparate. Therefore, it is vital to have a robust, well-designed enterprise data model to support and augment data-driven strategies. We deeply understand your business strategies and custom design the optimal data model for you, that can withstand the pressures of rapid organic and inorganic growth.
Live KPI reports: Once the data modeling has been complete we develop live KPI reporting focusing on select performance indicators that materially influence the business growth. We advise and guide the management in identifying and defining the KPIs leveraging our extensive PE experience.
Value creation diagnostics: Soon after the live KPI reporting is activated, we develop pointed insights for EBITDA gains using our proprietary revenue and margin diagnostics tools. Typically, we identify 2% – 5+% actionable EBITDA improvement opportunities. If we are engaged post-close, we develop the analytics and AI solutions to capture these gains. If we are engaged post mid-holding period, then we work with the sponsor and the C-suite to develop pro-forma EBITDA adjustments to capture the value during exit.
AI solutions: Our bespoke AI solutions primarily focus on top-line growth and includes recommendation engines, live sales lead scoring, smart segmentation, dynamic pricing, and smart bundling and discounting solutions and many more. Contact us to learn more about how we can help you with generative AI solutions.
Reliable data only benefits decision-makers when they are equipped to act on it. Our experienced management consultants and transformation leaders excel in helping management foster a data-driven culture. We focus on crucial aspects such as cross-functional coordination and eliminating roadblocks to activate metric-oriented business planning and monitoring. We work closely with management in identifying strategies to embed the analytics insights in strategic planning and tactical monitoring. Successfully implementing these strategies is vital for realizing the expected enterprise value. If the analytics program is not managed effectively, i.e., if the human resources attached to the operational processes are not enabled to act based on the analytics insights, then the time, effort and amount invested in the analytics program could be an utter waste. We empower and enable investors and operators to confidently drive successful outcomes through our tools, expertise and playbooks.
The Decision Intelligence Solution helps companies make smarter, faster business decisions by combining AI-powered analytics, technology tools, and expert advice. It addresses common challenges, like scattered, unreliable data and lack of visibility, and more complex ones, such as scaling AI initiatives across an organization or unlocking insights from large, unstructured datasets. For CEOs, this means a clear path to leveraging AI to uncover hidden revenue opportunities, optimize operations, and drive rapid organic and inorganic scaling.
It is both. The Decision Intelligence Solution combines cutting-edge AI and analytics technology (Astradis Platform) with deep PE experience and M&A expertise (Business Operations Solutions) and tailored change management strategies (Customer Success Support). This blend ensures clients not only have the tools, but also the support to maximize value.
The Decision Intelligence Solution is designed with enterprise–wide adoption at its core. With intuitive dashboards based on our extensive PE experience and M&A expertise and self-service analytics tools, users at every level of your organization can access, understand, and act on insights with minimal training or technical expertise.
Our Customer Success Support services protect your tech investment by ensuing successful implementation and adoption across your company.
Are you unlocking the full potential of your data?
Illinois
171 N Aberdeen St, Suite 400, Chicago, IL 60607
Texas
8333 Douglas Ave, Suite 340, Dallas, TX 75225
New York
Tower 49, 12 E 49th St 16th Fl, New York, NY 10017
Disclaimer: Our estimated enterprise value gains from analytics enablement are dependent on several project-specific variables. Terms of each engagement, including deliverables, will be governed by the respective master service agreement or engagement agreement. Please reach out to us to discuss.
Illinois
171 N Aberdeen St, Suite 400, Chicago, IL 60607
Texas
8333 Douglas Ave, Suite 340, Dallas, TX 75225
New York
Tower 49, 12 E 49th St 16th Fl, New York, NY 10017
Our core analytics and AI platform drives informed decision-making with enhanced clarity and focus, and rapidly unlocks enterprise value
Core Features:
Integrate data from multiple source systems effortlessly
Critical for breaking down silos and creating a unified view
A secure, centralized cloud hub for all your data insights
Foundational for reliable decision-making and enterprise-wide alignment
Visualize complex data through easy-to-understand dashboards
Empowers leaders with actionable insights
Reverse ETL capabilities enriches your data and ensures your data flows exactly where it is needed for function teams to act on
Enables real-time, action-oriented data flow
BS International Business | American University of Paris
BS Computer Science | American University of Paris
Seasoned DevOps and infrastructure engineer with expertise in AWS, Kubernetes, and Terraform; led cloud migrations and scalable infrastructure projects at Sfara, FanDuel, and Kickstarter.
With over 15 years of experience in small and medium-sized startups, Scott is a seasoned expert in designing, optimizing, and maintaining robust, scalable, and secure infrastructure. He specializes in automation and embedding security from the ground up, consistently delivering reliable systems tailored to meet dynamic business requirements.
Prior to joining Teragonia, Scott made a significant impact at Sfara, where he built the company’s entire infrastructure from scratch. He engineered systems capable of supporting hundreds of thousands of users with seamless scalability, implemented automated development pipelines, and introduced observability tools to monitor and manage resources effectively. Additionally, Scott led the infrastructure team in achieving ISO27001 security certification, ensuring security was integrated into every aspect of the system and transforming it into a critical asset for business-to-business operations.
Beyond his technical expertise, Scott has a proven track record of managing and mentoring high-performing teams. As a Senior DevOps Engineer at FanDuel, he gained invaluable experience in scaling infrastructure and optimizing resources to support millions of daily users, aligning technological capabilities with organizational goals.
Master’s in Human Resources | University of Illinois
Bachelor’s in Management | Loyola University
Former Financial and Operations Manager at Houlihan Lokey, Golin Harris, and MSL Group.
Jack is a highly driven, cross functional professional with extensive experience in operations and administration.
Prior to joining Teragonia, Jack held financial and facilities management roles for Houlihan Lokey, MSL Group/Publicis, and Golin Harris in which managed and created processes and trainings for multiple functional areas ensuring operational and administrative procedures were well planned, efficient, cost-effective, and aligned with business objectives while ensuring initiatives, internal events as well as client events propelled employee and client engagement.
Jack holds undergraduate degrees from University of Illinois and Loyola University Chicago and has completed graduate certificates in Business Administration, Strategic Human Resources, and Operations at Cornell, CUNY-Buffalo, and University of Illinois and is in the process of completing a Master’s in Human Resources at Loyola University Chicago’s Quinlan School of Business.
MS Analytics | Georgia Institute of Technology
BS Management Information Systems | Oklahoma State University
Former analytics engineer at Cyderes and ConocoPhillips with a Master’s in Analytics from Georgia Institute of Technology and a Bachelor’s in Management Information Systems from Oklahoma State University
Mason is an Analytics Engineer with deep experience in data analytics, business intelligence, machine learning, and cybersecurity. He brings a proven track record of leading analytics engagements spanning architecture, insights, visualizations, and delivery.
Before joining Teragonia, Mason was a Senior Analytics Engineer at Cybersecurity MSSP CYDERES where he built a scalable, standardized, and secure analytics architecture for over 300 clients across many industries and consulted with them to deliver insights through bespoke data driven solutions. In addition, he managed the data delivery of the insight platform leveraged by the Security Operations Center to respond to incidents in a timely and effective manner.
Prior to joining CYDERES, Mason worked in ConocoPhillips’ Analytics and Innovation Center of Excellence holding varied roles within the Data Analytics organization from Data Engineering, to Business Intelligence, and Data Science. He delivered robust data solutions in all operating units for various functions including Engineering and Production, Finance, IT, and more. Including projects to standardize cost and production data across operating units.
Mason started his career at The Williams Companies in cybersecurity and transitioned to cybersecurity at ConocoPhillips where he found his passion for Data Analytics through SIEM management, detection engineering, and threat intelligence.