Project Analytics in New York
By the time a delay shows up in the project status report, you're already three weeks behind. The data to catch it earlier exists — it's just not being used in real time.
A dashboard that shows what happened last month isn't project intelligence. You need to see what's about to happen — before it does. US-based clients tend to have higher awareness of modern data stack tooling — Snowflake, dBT, and Databricks are well-understood at the technical level. The challenge is more often the domain knowledge gap: understanding how to apply those tools to the specific operational environment of a manufacturing plant in Dubai or a supply chain network spanning India and Southeast Asia. That's the combination MDI provides.
What we hear from operators
The problems we solve
These aren't hypothetical pain points assembled from industry reports. They're observations from actual plant floors, warehouse ops, and finance desks — written down because they come up in almost every first conversation.
Portfolio visibility requires a day of manual consolidation
Project managers each maintain their own status in their own format — some in MS Project, some in Smartsheet, some in spreadsheets. The PMO spends every Monday morning copying and pasting into a portfolio template. The consolidated view is outdated before it's finished. Executive dashboards show a picture of last week, presented as if it were today.
Schedule slippage is reported after it's happened
The Gantt shows red when tasks are late. It doesn't show amber when tasks are tracking late — when the resource loading says the timeline isn't achievable, when the critical path dependencies haven't started. Early warning requires looking at leading indicators, not just completion dates.
Resource allocation is managed by who shouts loudest
Most project-driven organisations we work with don't have live visibility of resource utilisation across the portfolio. Project managers fight for resources based on relationships and urgency. The result is critical projects under-resourced while lower-priority work absorbs available capacity.
How we work
Our approach
01
Consolidate the project data sources
We connect MS Project, Primavera, Smartsheet, Jira, or whatever combination the organisation uses, into a single portfolio data model. One schedule record per task, one resource record per allocation. Updated automatically — not manually compiled by the PMO.
02
Build portfolio intelligence, not just reporting
A live portfolio dashboard showing project health by RAG status, schedule performance index by project, resource utilisation by team, and milestone tracking across the portfolio. Exceptions surfaced automatically. Project managers see their position; executives see the portfolio. Same data, two levels of granularity.
03
Add lookahead and risk-weighted forecasting
Three-week lookahead views showing which milestones are at risk based on current progress velocity. Risk-weighted EAC for project cost and timeline. Scenario modelling for resource reallocation. The PMO stops compiling status and starts managing outcomes.
What changes
Outcomes
These are specific, measurable shifts — not benefit statements. Every outcome listed here has been achieved with a client.
Portfolio status compilation: 1 day manual → automated overnight refresh
PMO teams get Monday morning portfolio views without spending Monday morning building them. Project data feeds automatically from the source systems.
Schedule early warning: retrospective reporting → 3-week lookahead alerts
Projects flagged as at-risk before milestones are missed, not after. PMO intervention happens when it can still make a difference.
Resource visibility: anecdotal → live utilisation dashboard by team and project
Resource allocation decisions made from data. Over-allocation identified and resolved before it impacts delivery.
Technology stack
Common questions
What buyers ask us
These are questions that come up in almost every first or second conversation. If yours isn't here, it will be in the first call.
Our teams use different project management tools. Can you consolidate them?
Yes — multi-tool portfolio consolidation is the most common challenge in project analytics. We've connected MS Project, Primavera, Jira, Asana, Smartsheet, and custom-built systems into unified portfolio views. The integration layer standardises the data model across tools so the portfolio dashboard sees one consistent structure regardless of what each team is using.
Project managers won't update their plans consistently. Does this still work?
Data quality from project teams is a real challenge and most analytics implementations underestimate it. We address this by designing the data capture to be as low-friction as possible — ideally pulling from the system the project manager is already using rather than asking them to update a separate tool. Where manual input is unavoidable, we build exception reports that flag stale data automatically.
We need better reporting for our clients and board. Is that different from internal analytics?
The underlying data is the same. What changes is the presentation layer. Client-facing reports are typically more summarised, commercially sensitive about certain fields, and need to match the client's reporting template. We build both from the same data model — the internal dashboard has full granularity, the external report has what the client needs to see.
Ready to move
Start with a conversation, not a proposal
First call is 45 minutes. No deck. We ask about your systems, your team, and your most pressing operational problem. You get a clear view of where the gap is and what closing it looks like. No obligation.