Vonneum Labs
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DATA ANALYTICS
Vonneum Labs helps business teams bring scattered spreadsheets and systems into clearer KPIs, dependable reports and dashboards built around the decisions they need to make.
For founders, owners, COOs and functional leaders in SMEs and established teams in India and international markets.
Project paths
Begin with a focused audit, improve recurring reporting, or connect the underlying data. We agree the detailed scope after reviewing your sources and goals.
Know what to measure and what needs fixing.
A focused review of your data sources, reporting gaps and most useful business measures.
Best for: Teams that need clarity before choosing a dashboard or larger data build.
Discuss a Data and KPI AuditSpend less time assembling reports.
Turn agreed metrics and available data into focused dashboards and scheduled reporting views.
Best for: Teams repeating spreadsheet work or struggling to see performance consistently.
Discuss dashboards and reportingBuild reporting on a stronger data base.
Connect agreed sources and organise the data behind reusable reporting and analysis.
Best for: Teams with several systems, recurring data gaps or reporting needs that are growing.
Discuss a connected foundationYour signed proposal defines the agreed scope, responsibilities and deliverables.
| Capability | Data and KPI Audit | Dashboard and Automated Reporting | Connected Analytics Foundation |
|---|---|---|---|
| Best starting point | Unclear measures or readiness | Manual or inconsistent reporting | Several disconnected systems |
| Source review | Inventory and gap assessment | Sources needed for agreed reports | Cross-system architecture and access |
| KPI definitions | Draft priorities and definitions | Agreed dashboard measures | Reusable definitions across sources |
| Dashboard output | Recommendations, not a dashboard build | Focused dashboards | Reporting views on connected data |
| Recurring refresh | Future plan | Scheduled for agreed sources | Pipelines and checks as scoped |
| Integration depth | Feasibility review | Connections needed for reporting | Broader agreed integrations |
| Handover | Findings and next-step plan | Report guidance and documentation | Models, access and operating notes |
Common challenges
Start with the reporting problem you recognise. The right solution depends on the decisions, source access and quality of the available data.
Agree what each measure means, how it is calculated and who owns it.
Replace repeated copying and spreadsheet assembly with an agreed reporting flow.
Bring the important measures into focused views that support regular decisions.
Map and connect authorised sources where the available integrations allow it.
Check data quality and reconcile the new figures with known reports.
Bring sales, funnel and customer measures into a clearer shared view.
Surface agreed exceptions and trends earlier in the reporting cycle.
Specialist solutions
Some questions need a separate feasibility review before they become part of a project.
CONDITIONAL DISCOVERY
Where enough reliable historical data exists, we can scope forecasts or scenario views with their assumptions and limits made clear.
How we work
Agree the questions, KPI meanings, users and review cadence before choosing a reporting format.
Review authorised access, coverage, quality and the limits of each source.
Prepare the data and reporting views, then check key figures with the people who use them.
Document definitions, hand over access and agree how issues and future changes will be handled.
After delivery
Managed Analytics and Reporting is a separate continuation for agreed reporting checks and improvements. New integrations, major redesigns and additional analysis are scoped separately.
A scheduled support arrangement shaped around the reports and data flows you decide to keep using.
Buyer FAQs
Yes. The Data and KPI Audit is designed to identify gaps in quality, definitions and access. We would agree what can be used now and what needs fixing before a dashboard or connected build.
Yes. Spreadsheets may remain useful inputs or working tools. We review where they are dependable and where repeated manual steps or inconsistent versions create risk.
That depends on the agreed questions and sources. We request client-authorised access only to the information needed for the project, with read-only access where it is practical.
No tool is assumed at the outset. We discuss existing licences, users, access needs and maintenance before recommending a suitable reporting approach. Third-party licence costs are defined separately.
Timing depends on the number of sources, access, data quality, approvals and the agreed outputs. A proposal will set the delivery plan after an initial review.
We agree the purpose, authorised access, security roles, retention and handover arrangements for each engagement. Your team remains responsible for ensuring that data is lawfully collected and shared with us. Any required processing terms are reviewed before access.
Your organisation retains ownership of its data. The proposal sets out ownership and access for dashboard assets, code, models and third-party licences before work begins.
Forecasts need sufficient, suitable historical data and clear limits. Generative AI explanations or natural-language querying are a separate AI Integration scope; neither is assumed in a dashboard project.
Managed Analytics and Reporting can cover agreed checks, refresh support and planned improvements. The schedule, responsibilities, exclusions and change process are defined in a separate proposal.
Tell us what is difficult to see or trust today. Vonneum Labs will help you identify a sensible first scope after reviewing your goals and available data.
A first conversation helps define the next step; detailed scope is agreed in a proposal.