OneStream CPM Customer Success · 2026-06-26 · 10 min
Key moments - from our scoring
Substance score
27 / 100
Five dimensions, 20 points each
This episode synthesizes OneStream's Splash 2026 announcements into actionable guidance for finance leaders evaluating or implementing corporate performance management platforms. Smetana breaks down a phased roadmap starting with foundation strengthening (consolidations, data quality, workflows, security) before advancing to performance optimization using the new Cube engine, process extension through OneStream's unified platform, and AI readiness assessments. For current OneStream customers, priorities include reviewing core platform investments like the Cube engine and Developer Studio, assessing development governance practices, identifying practical AI use cases around forecasting and variance analysis, and strengthening data foundations. For prospective customers, Splash 2026 reinforces that platform selection should support long-term finance transformation beyond immediate system replacement - whether migrating from Hyperion, SAP BPC, or Excel-dependent processes. The episode emphasizes that successful implementation requires disciplined progress tied to business priorities and adoption capacity, positioning features like Sensible AI, Forecast Express, the finance agentic layer, native agents, and cluster analysis as extensions of a solid foundation rather than standalone priorities.
Current customers should review core platform investments (especially the Cube engine for performance), assess development governance with Developer Studio, identify practical AI use cases tied to business pain points, strengthen data foundations, and look for opportunities to consolidate existing processes into OneStream rather than maintaining disconnected tools.
Start with foundation review (consolidations, data quality, workflows), then evaluate performance and scale (Cube engine), then look at process extension (Excel replacement, account reconciliations), then assess AI readiness, then prioritize agent use cases, and finally define governance around ownership, definitions, and security.
AI should be applied after establishing a strong data foundation with clean metadata, controlled workflows, trusted integrations, and consistent definitions - implementing AI on weak data foundations limits value and increases risk.
Beyond immediate replacement functionality, organizations should evaluate OneStream as a long-term platform that supports consolidation, planning, reporting, analytics, workflow, security, operational detail, and AI in a governed model while scaling as the business changes.
The most approachable use cases include forecast cycle time reduction, variance explanations, operational driver analysis, scenario analysis, and cluster analysis for identifying patterns - each tied to clear business pain points rather than broad AI implementations.
Our reviewer’s read on each dimension, with quotes from the episode.
The episode provides a structured roadmap framework (foundation → performance → extension → AI readiness → agents → governance) that is useful for finance leaders, but relies heavily on listing features and repackaging OneStream product announcements rather than deriving novel insights. The advice is sensible but largely predictable: strengthen data foundations before AI, review existing processes, align with business priorities. No surprising claims or counterintuitive observations.
Where are there still manual steps? Where is Excel still supporting critical processes? Where are users waiting too long for data reports, forecasts, and analysis?
The key is not to chase every new feature at once.
The episode recycles standard consulting playbook language and conventional wisdom (foundation-first, data quality matters, governance is important) without fresh or contrarian thinking. The roadmap is linear and incremental, mirroring typical enterprise software deployment patterns heard across hundreds of implementations. No first-principles reasoning or challenge to industry assumptions present.
Start with the foundation. Review consolidations, data quality, reporting, workflows, integrations, metadata, security, and ownership.
AI value depends on clean metadata, controlled workflows, trusted integrations, consistent definitions, and appropriate security.
This is a solo-hosted episode with no guest. Andy Smetana presents as a OneStream professional services partner, not an operator who has built or scaled finance transformation at a business. The host lacks the credibility of someone who has actually run a corporate finance function or driven large-scale CPM implementations as an end-user.
I'm your host, Andy Smetana from Nova Advisory. Nova Advisory is a 100% OneStream professional services diamond implementation partner.
We help OneStream customers and prospective OneStream customers get the most out of their OneStream investments.
The episode is almost entirely devoid of named examples, real metrics, or concrete data. It lists generic use cases (forecast cycle time, variance explanations, account reconciliations) without a single company name, implementation timeline, or measurable business outcome. 'Splash 2026' product features are mentioned but not illustrated with case data. This is purely abstract guidance.
Common examples include account reconciliations, operational reporting, capital planning, and forecasting.
Forecast cycle time, variance explanations, operational driver analysis, or scenario analysis.
With no guest present, there is no genuine conversation, follow-up questioning, or pushback. The episode is a monologue that systematically delivers pre-planned talking points without curiosity, debate, or depth-seeking. The structure is polished but the intellectual engagement is minimal - the host does not challenge ideas or explore edge cases.
Today we conclude our Splash twenty twenty-six recap with part three of the series.
That roadmap helps finance teams move from interest in splash announcements to a practical adoption.
Computed from the transcript - who did the talking, and the words that came up most.
In the final episode of our Splash 2026 recap series, we bring the major OneStream announcements together and discuss what they mean for finance teams evaluating their CPM roadmaps. This episode focuses on practical next steps after Splash, including how current customers can extend the value of their OneStream investment, how prospective customers can evaluate OneStream as a long-term finance platform, and how teams can prepare their foundation before applying more advanced AI-enabled capabilities.
Transcribed and scored by The B2B Podcast Index.
Welcome to the CPM Customer Success Podcast, where we help office of finance leaders enable an exact solution to enhance their corporate performance. Without spending countless nights and weekends in the office. Hi, I'm your host, Andy Smetana from Nova Advisory. Nova Advisory is a 100% OneStream professional services diamond implementation partner.
We help OneStream customers and prospective OneStream customers get the most out of their OneStream investments. For CPM customer Success listeners, we now have a weekly email newsletter to keep you informed on the latest CPM customer success news by subscribing today. We'll keep you informed on episode releases, including customer success stories. OneStream interviews and capabilities to keep you up to date about one Stream's unified platform for finance.
You can check that out now at Nova Advisory's website, Nova advisory.com/podcast and subscribe to the CPM Customer Success podcast newsletter today. Today we conclude our Splash twenty twenty-six recap with part three of the series. In part one, we covered the platform foundation behind the Splash announcements.
We looked at the new Cube engine, OneStream developer studio, expanded sensible AI capabilities, and sensible AI forecast express. The focus was speed, scale, extensibility, and practical AI forecasting. In part two, we covered the finance agentic layer, native sensible AI agents, and cluster analysis. That episode focused on governed AI, trusted data, natural language analysis, and the importance of preparing the finance foundation before applying more advanced capabilities.
Today, we'll bring those conversations together. Post-Splash is the perfect time for finance teams to step back and revisit their OneStream roadmaps. For current customers, that means looking at the platform you already have and asking where it can create the most value. Where are there still manual steps?
Where is Excel still supporting critical processes? Where are users waiting too long for data reports, forecasts, and analysis? And where could OneStream's newer capabilities help finance teams move faster, work with more detail, or reduce their process risk? For prospective customers, this is also an important moment.
Splash gave the market a clearer view of where OneStream's headed. The announcements around performance, developer productivity, sensible AI, forecast express, native agents, and governed AI all point to the platform strategy, which is built around scale, trust, and practical finance transformation. Beyond replacing a legacy system, evaluating CPM software is about choosing a foundation for how finance will operate over the next several years. The practical question for both groups is the same.
Where can the platform's core capabilities help us strengthen the foundation? And where can the advanced capabilities help us extend what finance can do next? The key is not to chase every new feature at once. That's what this last episode is about , Taking the announcements from Splash and translating them into practical next steps.
So what does this mean for current OneStream customers? For current OneStream customers, Splash twenty twenty-six provided several important roadmap considerations. First, review the core platform investments. The new Cube engine should be part of the conversation around performance, scale, model design, and future data needs.
Customers who have avoided adding detail because of performance concerns may have new options to evaluate. Second, assess Development and governance practices. Developer Studio may change how teams manage business rules, source control, enhancement cycles, and technical workflows. As OneStream environments mature, development discipline becomes increasingly important.
Third, identify practical AI use cases. The best AI opportunities usually start with clear business pain points. Forecast cycle time, variance explanations, operational driver analysis, or scenario analysis. Those use cases can then be mapped to sensible AI, Forecast Express, cluster analysis, or native agents.
Fourth, strengthen the data foundation. AI value depends on clean metadata, controlled workflows, trusted integrations, consistent definitions, and appropriate security. And fifth, continue thinking platform first. Many customers still have opportunities to bring processes into OneStream.
Splash twenty twenty-six reinforced OneStream's direction as a unified, extensible, AI-enabled finance platform. For existing customers, the opportunity is to align that product direction with a clear finance transformation roadmap for prospective OneStream customers, the Splash twenty twenty-six announcements reinforce the importance of choosing a platform that can support finance beyond the immediate replacement project. Many organizations begin a CPM evaluation because an existing tool has reached their end of life.
Hyperion may be outdated. SAP BPC may no longer fit the roadmap. Excel may be carrying too much risk. Those are common starting points.
Splash twenty twenty-six shows the evaluation should also consider where finance is headed. A modern CPM platform needs to support consolidation, planning, reporting, analytics, AI, workflow, security in operational detail in a governed model. It also needs to scale as the business changes. So after Splash twenty twenty-six, finance teams can organize their next steps around a simple roadmap.
Start with the foundation. Review consolidations, data quality, reporting, workflows, integrations, metadata, security, and ownership. Then evaluate performance and scale. Identify areas where the model has been limited by calculation times, data volumes, reporting performance, or concerns about adding more detail.
Next, look at process extension. Identify finance processes that still rely heavily on Excel or disconnected tools. Common examples include account reconciliations, operational reporting, capital planning, and forecasting. Then assess AI readiness.
AI forecasting works best when finance teams understand both the data and the decision process it supports. After that, prioritize agent use cases. Look for areas where users spend time searching for information, preparing repeated analysis, explaining variances, or connecting finance and operational data. And finally, define governance.
Clarify ownership of the model. Definitions, AI usage, data access, security, and automation decisions. That roadmap helps finance teams move from interest in splash announcements to a practical adoption. The goal is disciplined progress.
Foundation, extension, AI readiness, and then targeted use cases that create measurable value splash 2026 validated what Nova Advisory sees every day with finance teams. Most successful organizations are focused on modernizing the way finance works. They also want to focus on a foundation that can evolve as their business changes, and that's where OneStream is especially powerful. A company can begin with closing consolidations, then extend into planning, account reconciliations, and more.
The Splash 2026 announcements add another layer to that story. The new Cube engine strengthens performance and scale. Developer Studio supports better technical development. Sensible AI and Forecast Express make AI forecasting more approachable.
The finance agentic layer creates a governed framework for AI agents. Native agents point towards a more conversational finance experience. And cluster analysis helps finance teams identify patterns and peer groups that may be difficult to see through traditional reporting structures. A Strong OneStream roadmap should reflect business priorities, finance maturity, data readiness, and adoption capacity.
That wraps up part three of our Splash 2026 recap. Across these three episodes, we cover the major announcements from Splash: the new Cube engine, OneStream's Developer Studio, expanded sensible AI capabilities, Forecast Express, the finance agentic layer, native sensible AI agents, and cluster analysis. The ultimate takeaway is this. Build the foundation, extend the platform, apply AI where it creates measurable value.
That is how finance teams can take finance further Thanks for joining us for this episode of CPM Customer Success Reminder to check out the CPM Customer Success Weekly email newsletter to stay informed of the latest CPM customer success episodes and OneStream News. You can check that out now at the Nova Advisory website, Nova advisory.com/podcast and subscribe to the CPM Customer Success podcast email newsletter today. Thanks again for listening, and I'll catch you next week for another episode of CPM, customer Success.
Other episodes covering the same guests and topics, from across The B2B Podcast Index.
111: CPM in the Insurance Industry with OneStream37 / 100
108: OneStream Splash 2026 Part 2 - Finance Agentic Layer, Sensible AI Agents, Cluster Analysis41 / 100
107: OneStream Splash 2026 Part 1 - High-performance Cube Engine, Developer Studio, SensibleAI Forecast Express46 / 100
106: Better Bandwidth for Finance Teams in Media & Communications30 / 100
105: OneStream Podcast Partner Spotlight with Nova Advisory75 / 100
