Industry Insights

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Industry Insights

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Better IT Diligence, Better Hold Period Value Creation
IT Due Diligence, Mergers & Aquisitions, Technology Strategy, Value Creation
Better IT Diligence, Better Hold Period Value Creation
Christopher Steiner

The only time a private equity firm may solicit outside advice regarding the technology of a new portfolio company is during diligence. That being the case, it’s a fine time to receive insight that goes beyond the standard IT diligence report card.
5 Core Tenets of a Great Technology Strategy
Delivery & Transformation, Technology Strategy
5 Core Tenets of a Great Technology Strategy
Justin Sheridan

With an eye on future economic risks, technology executives are looking closely at their tech strategy to focus on a more sustainable and resilient future. Having worked with clients across multiple industries, we know there is no one-size-fits all approach to transformation.
Unlocking Value through Data Integration
Data & AI, Infrastructure & Cloud, Value Creation
Unlocking Value through Data Integration
Tom Derhake

As the pace of change continues to accelerate, a single metric stands apart in determining the companies who win in the future: data management. This includes not only how businesses consolidate data and make it actionable, but also, as this post explores, how they manage their integrations.
Time for a Chatbot to Support Your Digital Experiences? These 7 Steps Can Make or Break Success.
Data & AI
Time for a Chatbot to Support Your Digital Experiences? These 7 Steps Can Make or Break Success.
Jeff Jbara

The world of chatbots is booming. 58% of B2B and 42% of B2C companies say they actively use chatbots for digital experience interactions with consumers. Around 53% of companies now offer some form of AI digital assistants for administrative support to staff.
AI is About to Disrupt the TMS Landscape.  Here’s What You Should Know. 
Data & AI, Logistics
AI is About to Disrupt the TMS Landscape.  Here’s What You Should Know. 
Patrick Finnerty

Forget what you thought you knew about Transportation Management Systems (TMS) – a seismic shift is underway. Just as the build versus buy debate resurfaced with custom software possibilities, a new question is electrifying logistics: will the AI agent revolution unseat TMS giants or become the new industry standard?
How to Build an Effective Sell-Side Data Room to Showcase Maximum Value in M&A
Carveouts and Divestitures, Mergers & Aquisitions
How to Build an Effective Sell-Side Data Room to Showcase Maximum Value in M&A
Meredith Stroup, Heather Wilson

Organizations are increasingly leveraging data rooms not just for storage, but as a hub for collaboration, analysis, and strategic insight.
Leveraging Buy-Side Data Rooms as Part of Your Strategic M&A Toolkit
Carveouts and Divestitures, Mergers & Aquisitions
Leveraging Buy-Side Data Rooms as Part of Your Strategic M&A Toolkit
Meredith Stroup, Heather Wilson

In the fast-paced world of mergers and acquisitions (M&A), where information is power and timing is crucial, data is central to decision-making. Enter the data room. Organizations are increasingly leveraging data rooms not just for storage, but as a hub for collaboration, analysis, and strategic insight.
The Digital Backbone: How Three Companies Dominate Data Integration with Low-Level Connectors
Data & AI, Software Systems
The Digital Backbone: How Three Companies Dominate Data Integration with Low-Level Connectors
Saulo Linares

Much like the industrial age, the digital economy relies on critical infrastructure that often goes unnoticed. Consider railroads: while over 700 railroads operate in the United States, just seven companies own 80% of the tracks. These tracks connect commerce, creating the backbone of the system.
The End of Off-the-Shelf Software? How AI Will Empower Every Company to Build Custom Software by 2030
Software Systems, Strategic AI Enablement, Technology Strategy
The End of Off-the-Shelf Software? How AI Will Empower Every Company to Build Custom Software by 2030
Jack Keller

Imagine the year is 2030. Tony, the Chief Information Officer (CIO) of a growing manufacturing company, finds himself at a crucial crossroads. The existing Customer Relationship Management (CRM) system at his company is no longer able to keep up with the demands of their expanding customer base and complex sales processes.
Case Study: Leveraging a Proven Framework to Deliver Strategic and Operational Value to a Professional Services Organization
Delivery & Transformation, Technology Strategy, Value Creation
Case Study: Leveraging a Proven Framework to Deliver Strategic and Operational Value to a Professional Services Organization
Brendan Oosse

Cuesta was approached by a global, private equity-backed professional services firm that had expanded rapidly through a series of acquisitions. Once a single, specialized business, the firm had transformed into a global entity with multiple service offerings across various geographies.
A CFO’s Guide to Protecting the Bottom Line in the Age of Cybersecurity Threats
Cybersecurity, Technology Strategy
A CFO’s Guide to Protecting the Bottom Line in the Age of Cybersecurity Threats
William Sullivan, John Cacavias

Cybercrime is perhaps the biggest threat to today’s corporate enterprise. With organizations’ ever-growing interconnectedness and reliance on digital tools and capabilities, the landscape has become more enticing for criminal groups to try to perpetrate, inflict harm, and capitalize on the troves of data companies possess.
The Easiest Money in Healthcare: Addressing The Data Quality Issues That Undermine Revenue Cycle Management.
Data & AI
The Easiest Money in Healthcare: Addressing The Data Quality Issues That Undermine Revenue Cycle Management.
Kyle Sommerfield, Amy West

Healthcare companies invest significant time and budget every year to remediate problems stemming from suboptimal revenue cycle management (RCM), often by outsourcing to specialist firms or purchasing third-party software tooling. However, these efforts fail to address perhaps the most costly and impactful root cause of their RCM challenges: data quality management.
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