For professional services businesses
Understand clients, engagements and delivery across your professional-services business. Explore your data with dashboards and an AI analyst, with reports shaped around your service lines and the way your teams work.
Consulting and advisory client-service example · illustrative
Choose the questions and measures that matter to your business. These examples show different reporting needs within the industry; the available analysis depends on the records you supply.
Review client income, engagement mix and repeat work. Explore service opportunities using the relationships and service definitions you provide.
Compare customers, projects and recurring income. Add effort or cost records when exploring delivery economics rather than revenue alone.
Review project timelines, fees and budget movements. Agree on how work in progress and invoiced income are represented in your data.
Three steps, in this order.
Client or engagement IDs, service lines, dates, fees and relevant time, cost or project records.
Start with standard dashboards. Agree on the measures, reporting periods and business structure your customized views need.
Work with an AI analyst to investigate the available data and prepare reports. Review the definitions and results in the context of your business.
Short answers. The Help center has the long ones.
Client or engagement IDs, service lines, dates, fees and relevant time, cost or project records.
The example illustrates one part of the industry. Standard dashboards are a starting point; views can be customized to your business and data as part of your agreed setup.
The report depends on the fields, history and definitions in your sample. Start with one question, identify the records it needs and confirm any gaps before relying on a comparison.
Analytics software for consulting and advisory, compared · Alternatives to named products
Written for this industry: the measures, the data you already hold, and the arithmetic.
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