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Manamatha SarnakerOdoo ERP Consultant · Montreal

Business Analytics & BI

Business analytics and BI built around decisions.

Turn operational data into reports your team can understand, check and use. I connect business questions with ERP reporting, management dashboards and data validation, drawing on hands-on Odoo delivery and formal analytics and BI study.

Manamatha Sarnaker · Montreal, Canada · Remote consulting for clients worldwide. Scope, availability and time-zone overlap agreed directly.

When this helps

For operations, finance and business teams working with ERP data, spreadsheets or reports that do not tell the same story.

A dashboard is only useful when people agree what its numbers mean. If stock, sales or project reports disagree, the first task is understanding the source records, business rules and decisions behind each figure. Business analytics investigates a question; business intelligence makes useful reporting repeatable. Both start with trustworthy data.

What we can agree to deliver

Reporting requirements

A focused set of business questions, metric definitions and source-data requirements. We agree who uses each output and what decision it should support.

Reports and dashboards

Operational reports or management dashboards around the agreed workflow, with clear labels, filters and calculation rules. Odoo reporting is the strongest existing delivery foundation.

Validation and handover

SQL or Python checks against source records, an exceptions review and practical documentation. Refresh frequency, access and responsibility for maintaining the output are agreed in scope.

How the work takes shape

  1. Define the decision

    Start with the question, the people using the answer and the action they need to take. Separate essential measures from a long wish list.

  2. Check the data

    Review available sources, identifiers, missing records and business rules. Resolve disagreements in definitions before presenting a confident number.

  3. Build and reconcile

    Create the agreed report and compare results with source totals or known examples. Make assumptions and exceptions visible to reviewers.

  4. Make it usable

    Review the output with its users and document definitions, access and ownership. Agree any ongoing refresh or support separately.

Relevant delivery

My published client evidence centres on ERP reporting, dashboards and data validation. Google Advanced Data Analytics and Google Business Intelligence credentials support my formal background. A new engagement's tools, data access and analytical methods are confirmed before work begins.

Before we start

Can you help when two reports disagree?

Yes. A useful first scope is tracing the source records, filters, time periods and metric definitions behind the difference. The output can be a reconciled report and a documented explanation of the exceptions.

Do you work with Power BI or Tableau?

Power BI and Tableau client delivery is not documented in this portfolio. My confirmed toolkit includes SQL, PostgreSQL, Python, Excel and Odoo reporting. If a particular platform is essential, include it in your message so we can assess fit before agreeing scope.

What do you need to scope the work?

Send the decision you need to make, the systems holding the data, an example of the current report and who will use the result. Describe access restrictions without sending confidential records through the contact form.

Work through an example

Start with the problem.

Tell me which figures you need to trust, where the data lives and what decision the report should support.