Altum Strategy Group

10/30/2026

It's Tidal Shift Thursday! 🌊

As leaders begin planning for 2027, three forces deserve close attention:

📈 The cost of capital – Higher borrowing costs continue to influence investment decisions, growth plans, and risk appetite.

🤖 The cost of technology – AI, data infrastructure, cybersecurity, and digital transformation remain essential, but leaders must balance innovation with measurable ROI.

👥 The labor market – Talent availability, compensation expectations, and workforce productivity will continue to shape competitiveness across industries.

🚀 The challenge for business leaders isn't managing these factors independently. It's understanding how they interact to influence strategy, growth, and profitability.

The organizations that win in 2027 will be the ones that align capital allocation, technology investments, and workforce planning into a single operating strategy.

👉 Which of these three factors will have the biggest impact on your business next year?

10/28/2026

Old numbers don't drive better decisions. Timely insights do. 📊

A dashboard that tells you what happened weeks or months ago may be useful for reporting, but it's not enough to guide today's decisions.

The real value comes from turning data into action, giving leaders the insights they need when decisions are being made, not after the fact.

🚀 Businesses create advantage when they move from reviewing the past to acting on what's happening now.

The question isn't whether you have data. It's whether your data is helping you act.

👉 How current, trusted, and actionable are the numbers driving your business today? Contact us for more information.

10/26/2026

When does data governance become urgent? Usually later than it should. 📊

For many growing mid-market companies, the warning signs appear long before data governance becomes a formal priority.

Reporting takes longer to reconcile. Different departments produce different versions of the same number. Executives start asking where the data came from, and no one has a clear answer.

As Brendan Polke and Jared Clark discuss, the challenge is rarely a lack of data. It's that the data is fragmented across systems, teams, and processes, making it difficult to trust and even harder to use for decision-making.

🚀 Data governance becomes urgent when leaders spend more time debating the numbers than acting on them.

👉 Are your teams aligned around a single source of truth, or managing multiple versions of reality?

10/23/2026

It's Tidal Shift Thursday! 🌊

This week, we're looking at the September inflation report and what it means for worker compensation, business costs, and planning for 2027.

📈 As inflation continues to shape the economic landscape, leaders face a critical challenge: balancing wage expectations, talent retention, and cost management while maintaining growth and profitability.

💼 For employees, compensation is about keeping pace with the cost of living. For employers, it's about attracting and retaining talent in an environment where labor remains a key competitive advantage.

The question isn't just whether wages are rising. It's whether productivity, operating models, and business strategy are evolving alongside them.

🚀 The organizations that navigate this successfully will align compensation, workforce strategy, and operational efficiency rather than treating them as separate conversations.

👉 How is your organization adapting its compensation strategy in today's economic environment?

10/21/2026

Too many organizations focus on the model. The most successful ones focus on the foundation. 🤖

AI can accelerate decisions, automate workflows, and uncover insights at scale. But if it's built on poor data, unclear processes, and weak accountability, it will amplify those problems just as quickly.

🚀 The question isn't whether you're investing in AI. It's whether you're investing in the fundamentals that make AI successful:

✅ Data quality
✅ Governance
✅ Operating model clarity
✅ Decision rights
✅ Process discipline

👉 Is your investment going into the model, or the foundation that allows the model to create value? Contact us for more information.

10/19/2026

Most dashboards are great at telling you what happened. The problem? Decision-makers still have to figure out what to do next. 🚨

The real value comes when analytics move beyond passive reporting and become active decision-making platforms.

When business logic is embedded directly into analytics, dashboards stop being destinations for information and start becoming engines for action.

🎙️ Matt Gantner shares why the future isn't more dashboards. It's smarter systems that connect insights, decisions, and ex*****on.

What would change in your organization if every critical metric automatically triggered the right next step?

👇 Share your thoughts in the comments.

10/16/2026

It's Tidal Shift Thursday! 🌊

This week, we're discussing internal controls in AI and what leaders can learn from the growing influence of platforms like OpenAI and Hugging Face.

🤖 As AI becomes embedded in business operations, the focus can't be on capability alone. It must also be on governance, accountability, and control.

Who approves model use? Who owns the data? How are outputs validated? How do organizations manage risk when employees can access increasingly powerful AI tools?

The lesson is clear: successful AI adoption requires the same discipline applied to finance, cybersecurity, and compliance. Without strong internal controls, AI can scale mistakes as quickly as it scales productivity.

🚀 AI governance isn't slowing innovation. It's what makes innovation sustainable.

👉 Does your organization have the controls in place to manage AI at scale?

10/14/2026

AI Success Starts with Understanding Your Starting Point 🚀

Not every organization begins its AI journey from the same place. Through our work with Poseidon™, we've found that an organization's structure often determines how quickly it can scale AI and where the biggest challenges emerge.

📈 The AI Adoption Matrix identifies three common organizational archetypes:

🏢 Multi-Subsidiary Holding Companies: Success comes from building shared AI capabilities, governance, and talent at the enterprise level, then enabling business units to leverage them.

🏘️ M&A-Driven Enterprises: The challenge is maintaining data and architecture flexibility as the portfolio evolves through acquisitions and divestitures.

🏠 SMBs & Single-Entity Organizations: AI deployment can be faster and simpler, but scaling often requires rethinking the underlying operating model.

🤖 The key lesson: AI adoption isn't just about technology. It's about aligning AI strategy with the structure of your organization.

👉 Download our AI White Paper to explore the AI Adoption Matrix and learn how your organization's architecture shapes its AI future. Link in the comments section.

10/12/2026

The latest Altum Wave Report is here! 🌊

This week’s insight: Go-live isn’t the finish line. It’s the moment when preparation is truly tested.

A successful enterprise transformation depends on disciplined quality gates before launch and focused hypercare afterward. Without both, minor gaps in data, processes, and ownership can quickly become costly operational disruptions.

👉 Read the latest Altum Wave Report to discover how to make go-live a controlled transition, not a business fire drill.

https://altumstrategy.com/portfolio-item/go-live-without-the-fire-drill-quality-gates-hypercare-that-protect-margin/

In enterprise system transformations, go-live is often treated as a finish line. In reality, it’s a risk inflection point — one that either validates months of disciplined ex*****on or exposes every gap that was rushed, deferred, or misunderstood. The difference comes down to two things: the rig...

10/09/2026

It's Tidal Shift Thursday! 🌊

This week, we're discussing the AI and data structure frameworks for small and medium-sized enterprises featured in Altum's latest AI White Paper.

🤖 AI success isn't just about adopting new technology. It's about building the right data foundation and operating model to support it.

For SMBs, the opportunity is significant: simpler structures can accelerate AI adoption, but long-term success depends on creating scalable data, governance, and decision-making frameworks from the start.

📈 The organizations that generate the greatest AI value don't begin with tools. They begin with structure.

👉 Download Altum's AI White Paper in the comments to explore the frameworks helping organizations turn AI investments into measurable business outcomes.