
AGI's business analyst will handle financial and operational data from unrelated subsidiaries like McDonald's Philippines and Megaworld. This question tests the candidate's understanding of data accuracy, standardization, and cross-functional communication. (Note: This is a scenario-based question informed by AGI's diversified operations, as there are no verified interview questions available.)
Outline a structured process: data collection, standardization, validation, and presentation. Emphasize communication with stakeholders and error-checking mechanisms to show attention to detail.
Begin by defining a common reporting calendar and a mapping of accounts and metrics across the three divisions, since QSR, real estate, and spirits will each run on different native systems, revenue recognition timing, and KPIs. Standardize the metrics that will appear in the combined report, for example revenue, gross margin, and a small set of division-specific operational KPIs, and agree on definitions with each division's finance contact before pulling data, so a term like 'same-store growth' means the same thing everywhere it appears. Collect the data on a fixed schedule, then run a validation pass: check for missing periods, reconcile totals against each division's own management accounts, and flag any variance beyond a reasonable threshold for follow-up with that division before the report goes out. Present the report with both consolidated totals and a division-by-division breakdown, using consistent formatting and clear footnotes on any non-comparable items such as currency, one-off items, or accounting changes, and build in a short review window with each division owner before it reaches senior stakeholders.
Don't say, 'Magco-consolidate lang ako ng data sa Excel, tapos.' That sounds oversimplified and careless. Instead, explain the process: 'I would begin by aligning on a common data dictionary with each division to ensure consistency before any consolidation.'
Situation
In my previous role at a holding company, I was responsible for compiling monthly management reports from three different business units: retail, hospitality, and food service. Each unit used different systems and key metrics.
Task
I had to create a consolidated dashboard that accurately reflected each unit's performance while maintaining data integrity and providing actionable insights for the executive team.
Action
First, I met with each unit's reporting team to understand their data sources and definitions. I standardized the metrics by creating a common data dictionary. For accuracy, I implemented a reconciliation process where unit heads validated their numbers before integration. I also added visual cues like traffic-light indicators for easy interpretation.
Result
The consolidated report reduced monthly reporting time by 30% and was praised by the CFO for its clarity and reliability. It helped the leadership quickly identify that the food service unit needed cost optimization.
Consistent data definitions and validation steps are crucial when merging diverse data sources.
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