Case Study
Predictive Forecasting
Overview
The company struggled with delayed financial visibility across its projects. Project managers maintained separate Excel trackers for budgets, purchase orders, and labor hours. Accounting used a legacy ERP system that did not communicate with project-control spreadsheets.
As a result, executives had no consolidated view of project financial health. Forecasts were inconsistent, cash-flow reports were outdated, and resource allocation decisions were often reactive.
The leadership team engaged us to implement a cost forecasting and resource visibility dashboard that would unify project data, automate reporting, and introduce predictive analytics for proactive budget control.
Challenges
Project costs and labor hours were tracked…
Project costs and labor hours were tracked in Excel while procurement and invoicing lived in the accounting system.
Consolidation was entirely manual, leading to data…
Consolidation was entirely manual, leading to data mismatches and missing updates.
Forecasts were based on outdated snapshots and…
Forecasts were based on outdated snapshots and often revised multiple times per month.
Executives relied on “gut feel” instead of data
driven insights.
Supervisors couldn’t see real
time labor or equipment usage.
Over- and under
staffing occurred frequently between projects.
Our Solution
We began by consolidating all project, procurement, and accounting data into a centralized model. Historical cost, PO, and labor data were extracted from Excel trackers and synchronized with the ERP system through automated connectors. This eliminated manual data reconciliation and enabled daily refresh cycles, ensuring every stakeholder had access to current information.
A dynamic Power BI environment was developed to visualize cost performance and cash flow projections across all active projects.
Interactive dashboards replaced static reports, reducing reporting cycles from days to hours.
1. Project managers could monitor committed vs
Project managers could monitor committed vs. actual spend in real time.
2. Executives gained a portfolio-level view of financial health with drill
down access to individual projects.
3. Controllers received automated variance alerts for early…
Controllers received automated variance alerts for early detection of overruns.
Key Achievements
Predictive analytics replaced manual cost tracking, aligning forecasts with actuals and reducing budget deviation from 30% to under 8%.
Automated Power BI dashboards eliminated manual consolidation, cutting monthly reporting from 5 business days to less than one.
Real-time labor and equipment visibility allowed proactive redistribution across projects, minimizing idle time and overtime costs.
Unified data access and visual risk indicators enabled leadership to make faster, data-backed adjustments in resource and cost planning.
Result
The transition from fragmented spreadsheets to an intelligent forecasting system reshaped the company’s financial culture. Project managers stopped chasing numbers and started managing outcomes. Finance no longer reacted to overruns – they prevented them.
With unified dashboards, the leadership team could finally see where every dollar and hour was going – and what would happen next. The organization moved from firefighting to foresight, setting a new operational standard: predict before it happens, act before it costs.
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Client Partner
