Executive performance reporting
Create a leadership view that organizes the few measures that matter, with trend, variance, exception and drill-path context.
- Strategic KPIs
- Actual vs target
- Cross-functional exceptions
Data & Business Intelligence That Turns Reporting Into Trusted Decisions
One accountable managed service from reporting brief to reviewed BI handoff—without coordinating individual analysts, dashboard developers or data specialists yourself.
Illustrative BI Workspace · Executive ReportingExample structure — not customer data
RevenueCurrent period
MarginPlan vs actual
PipelineOpen value
Service LevelException view
Trend, variance and drill-path view
✦Service Summary
- What you are buying: managed Data & Business Intelligence execution covering defined KPI, data, reporting and handover deliverables.
- Who it is for: businesses that need clearer management reporting, trustworthy metrics, dashboards or a stronger BI foundation.
- What can be included: source review, data preparation, KPI logic, analytical modeling, dashboard/report development, validation, documentation and governance support.
- What Rudrriv manages: professional matching, scope coordination, execution, quality review, communication and final delivery.
- What is not assumed: paid software licences, connectors, cloud capacity and major data-engineering work are separate unless explicitly scoped.
What Clients Appreciate
Daniel Brooks🇺🇸 United States
We brought in the team for Data & Business Intelligence because we needed a data and business-intelligence reporting framework, and the engagement was organized from the beginning. They took time to understand our context before recommending a direction and paid particular attention to data definitions, source alignment, KPI logic, reporting cadence, dashboard requirements, governance, and decision use cases. What stood out was the balance between detailed execution and practical decision-making; questions were raised early instead of becoming late-stage surprises. Feedback was incorporated carefully, and the reasoning behind important choices was easy to follow. By the end of the work, we had a more trustworthy BI foundation that gave teams a shared view of the metrics used to run the business. The final handoff was clear, useful, and ready for our next step.
2 months ago
Data & Business Intelligence
Managed Data & Business Intelligence Services
Build reporting people can understand, trace and use
Data & Business Intelligence brings business questions, data sources, metric definitions and reporting into one managed delivery. The goal is not to create charts for their own sake. It is to make important measures consistent, show where the numbers come from, present them in a usable reporting layer, and give decision-makers a clearer way to review performance.
Rudrriv manages the service from brief to delivery. Instead of searching for a separate data analyst, BI developer, dashboard designer and implementation resource, you share the requirement once. Rudrriv coordinates the appropriate professionals, keeps the work aligned to scope, manages review cycles and quality checks, and delivers the agreed outputs as one service engagement.
What is Data & Business Intelligence?
It is the structured use of business data, metric logic and reporting tools to create reliable dashboards, reports and decision views. A complete BI scope can include the foundation beneath the visuals: data preparation, models, KPI definitions, refresh logic, access design and governance notes.
Who typically needs it?
Founders, leadership teams, finance, sales, operations, service teams and analysts use BI when spreadsheets or disconnected reports make it difficult to agree on performance, track change or review the same metrics consistently.
What is delivered?
Depending on package, delivery can include prepared reporting data, KPI definitions, source mapping, a dashboard or report file, model logic, refresh setup, validation notes, documentation and a practical handover.
How is this different from a dashboard-only job?
A dashboard-only task focuses on presentation. BI work can also address the definitions, source alignment, model structure, access, refresh and governance needed to make the reporting dependable after the first screen is built.
What this service can include
- Decision and reporting requirements: clarify which decisions the BI output should support, who uses it and how frequently it is reviewed.
- KPI framework: define calculations, filters, time periods, owners, targets or comparison logic so important measures have an agreed meaning.
- Source mapping and data readiness: identify where required fields come from, expose obvious quality gaps and document transformations or dependencies.
- Data preparation and analytical modeling: clean, combine and structure in-scope data for reporting, including reusable metric logic where the selected package requires it.
- Dashboard and report development: create executive, operational or departmental views with appropriate filters, drill paths and visual hierarchy.
- Validation and reconciliation: compare outputs to available source information, review calculation logic and record material assumptions or exceptions.
- Refresh, access and governance: define or configure in-scope refresh, workspace or access patterns and provide practical ownership documentation where included.
- Handover: deliver agreed files, notes and supporting documentation so the reporting can be reviewed, operated or extended after completion.
Common business use cases
Typical engagements include executive KPI dashboards, sales and pipeline reporting, finance and management reporting, operations dashboards, customer or service-performance views, marketing reporting, recurring MIS automation, BI readiness assessments and consolidation of conflicting spreadsheet metrics into a shared reporting framework.
What we need from you
Share the business questions you need answered, intended users, existing reports, KPI definitions or calculation examples, sample data or approved access, source systems, refresh expectations, preferred BI platform, security constraints and target deadline. If the data is incomplete or definitions are disputed, identify that early so the scope can separate discovery work from implementation.
How the managed BI process works
01
Clarify decisions & scope
Rudrriv reviews the reporting objective, users, data sources, KPI questions, platform needs and delivery constraints.
02
Map sources & metrics
The delivery team aligns fields, definitions, transformations, ownership and known data-quality limitations before reporting logic is finalized.
03
Build & validate
In-scope data preparation, models, measures, dashboards and reporting interactions are created and checked against the agreed definitions.
04
Review, document & hand over
Consolidated feedback is applied within the package allowance, quality checks are completed, and the agreed files and operating notes are delivered.
Platforms and technical considerations
The reporting platform should fit your existing stack, licensing, users, access controls and maintenance capability. Depending on scope, work may involve Power BI, Tableau, Looker Studio, Excel or other reporting layers, together with SQL, Power Query, DAX, APIs, ERP/CRM exports or cloud data services. Platform selection does not remove the need for reliable KPI definitions, source quality and an operating refresh process.
Scope boundary: package prices assume the source count, KPI coverage and delivery depth shown below. Major data engineering, warehouse/lakehouse implementation, custom application development, complex real-time streaming, paid platform licences, paid connectors and enterprise-scale security programs are quoted separately when required.
Related Rudrriv services
For narrower needs, you can also review Rudrriv's dedicated BI service pages.
Compare Data & Business Intelligence Packages
Choose the package by data-source count, KPI depth, dashboard coverage, model complexity, governance needs and handover responsibility. If the boundaries do not fit your environment, request a custom scope rather than forcing the work into a fixed tier.
| Included | ₹14,999 Essential BI Foundation DashboardA focused managed BI build for one business area using up to two accessible data sources and a defined KPI set. |
₹39,999 Professional Recommended Managed BI Reporting BuildA multi-page reporting solution with stronger data preparation, reusable metric logic, interactivity and documented handover. |
₹79,999 Advanced BI System & Governance PackA broader BI implementation for multi-source management reporting, governed metrics, access design and a stronger operating handoff. |
|---|---|---|---|
| Business scope | 1 business function | Up to 2 business functions | Cross-functional BI scope |
| Agreed data sources | Up to 2 | Up to 3 | Up to 5 |
| KPIs / measures | Up to 8 | Up to 15 | Up to 25 |
| Dashboard / report pages | 1 | Up to 3 | Up to 5 |
| Data preparation | Light cleaning & mapping | Transformation & model setup | Broader transformation & model design |
| Reusable metric / semantic layer | Basic KPI logic | ✓ | ✓ |
| Interactive filters / drill paths | Basic | ✓ | ✓ |
| Refresh setup where supported | — | Basic setup | Design & setup |
| Access / workspace design | — | Basic guidance | ✓ |
| Governance documentation | Assumption notes | KPI & handover notes | KPI dictionary & governance notes |
| Revision rounds | 1 | 2 | 3 |
| Standard delivery | 5 business days | 10 business days | 15 business days |
| Handover | Files + notes | Files + documentation | Files + documentation + handover session |
| Package price | ₹14,999 |
₹39,999 |
₹79,999 |
Where Data & Business Intelligence Adds Structure
The reporting layer should match the decisions people actually make. These are common service directions, not pre-built templates or claims about a specific customer environment.
Sales & commercial intelligence
Bring revenue, pipeline, conversion, customer, product or region measures into a reporting structure with consistent calculation logic.
- Pipeline and forecast views
- Revenue and margin analysis
- Segment and territory comparisons
Finance & management reporting
Structure recurring management information around controlled definitions, period comparisons and clear reconciliations to available finance data.
- Budget vs actual
- Margin and cost views
- Recurring management packs
Operations & service performance
Track throughput, backlog, service levels, quality, inventory, delivery or capacity using measures aligned to operational ownership and review cadence.
- Operational KPIs
- Exception monitoring
- Team / location drill-downs
Frequently Asked Questions
It is a structured service for turning business data into reliable reporting and decision support. Depending on scope, Rudrriv can manage KPI definition, source mapping, data preparation, analytical modeling, dashboards, reporting workflows, validation, governance documentation and handover.
The exact scope depends on the selected package, but it can include source review, KPI definitions, data transformation, analytical or semantic modeling, dashboard and report development, filters and drill paths, refresh planning, quality checks, documentation and handover.
Rudrriv's Essential package starts at ₹14,999, the Professional package is ₹39,999, and the Advanced package is ₹79,999 for the defined scopes shown on this page. Larger data volumes, additional platforms, complex integrations, enterprise security, data engineering or ongoing support require a custom scope.
The standard package targets are 5 business days for Essential, 10 business days for Professional and 15 business days for Advanced after the required data, access and decisions are available. Complex integrations, approvals or data-quality remediation can extend the timeline.
Common inputs include Excel or CSV files, SQL databases, ERP or CRM exports, cloud applications and APIs. Feasibility depends on the source, access method, data quality, connector availability and security constraints, so source readiness is confirmed during scoping.
The platform is selected around your existing stack and delivery need. Typical options can include Power BI, Tableau, Looker Studio and spreadsheet-based reporting, with related SQL, Power Query, DAX or other transformation work where appropriate to the agreed solution.
Share the business questions the reporting must answer, intended users, current reports, KPI definitions if they exist, data sources or sample files, refresh expectations, preferred platform, access constraints, security requirements, deadline and any examples of the reporting experience you want.
Rudrriv manages an agreed definition-and-validation workflow: KPI logic is documented, sources and transformations are mapped, outputs are checked against available source data, and material assumptions or exceptions are recorded. Final accuracy still depends on the completeness and correctness of the source data supplied or connected.
No. Third-party software licences, paid connectors, cloud capacity, database services and similar platform costs are not included unless the written scope explicitly says otherwise. Existing customer licences can be used where technically and contractually appropriate.
Confidentiality, access and security requirements should be agreed before data is shared. The engagement can be scoped around approved access methods, limited datasets, test extracts or customer-controlled environments where appropriate to the project.
Yes. Ongoing dashboard maintenance, KPI changes, refresh troubleshooting, new reporting requirements, governance updates and managed BI support can be scoped separately when the need is recurring rather than a one-time build.
Client Reviews
Amelia Turner
🇬🇧 United Kingdom
Our experience with Data & Business Intelligence was structured, responsive, and much more tailored than a generic consulting engagement. The assignment centered on a data and business-intelligence reporting framework, with strong attention to data definitions, source alignment, KPI logic, reporting cadence, dashboard requirements, governance, and decision use cases. The team quickly separated the issues that mattered from the items that could wait, which kept the work efficient and reduced unnecessary back-and-forth. Each review round made the deliverable more precise without losing sight of the original objective. The result was a more trustworthy BI foundation that gave teams a shared view of the metrics used to run the business. We also appreciated the concise documentation and the practical way recommendations were explained.
Benjamin Clark
🇨🇦 Canada
The final outcome from our Data & Business Intelligence project closely matched what we needed. We asked for a data and business-intelligence reporting framework, and the team approached it methodically, especially around data definitions, source alignment, KPI logic, reporting cadence, dashboard requirements, governance, and decision use cases. They challenged a few of our initial assumptions with useful evidence while still respecting the constraints of our business. Progress was easy to review, open questions were documented, and changes were handled without creating confusion. We finished with a more trustworthy BI foundation that gave teams a shared view of the metrics used to run the business. The work gave us more confidence because the recommendations were specific enough to act on rather than remaining high level.
Matilda Scott
🇦🇺 Australia
We hired the team for Data & Business Intelligence after struggling to bring enough structure to the problem internally. The brief required a data and business-intelligence reporting framework, and their strongest contribution was the disciplined treatment of data definitions, source alignment, KPI logic, reporting cadence, dashboard requirements, governance, and decision use cases. Communication stayed direct throughout the engagement, with clear ownership of actions and sensible explanations when tradeoffs were required. They were also careful not to overcomplicate the solution simply to make the project look larger. The delivery ultimately gave us a more trustworthy BI foundation that gave teams a shared view of the metrics used to run the business, along with a cleaner set of next steps for the people responsible for implementation.
Request a Data & Business Intelligence Quote
Tell us what decisions the reporting needs to support, where the data currently lives, who will use the output and what you need delivered. Rudrriv will review the requirement and confirm the appropriate scope, package or custom implementation path.
Business objective & decisionsDescribe the management question, process or performance area the BI output should support.
Data sources & accessList Excel/CSV files, databases, ERP/CRM systems, APIs, exports and any approved access constraints.
KPIs & current reportingShare existing reports, KPI definitions, calculation examples, targets or known disagreements about metric logic.
Platform & usersTell us your preferred BI tool, who needs access, whether reports are executive or operational, and the expected review cadence.
Security & governanceInclude role restrictions, confidential fields, approved environments, data-residency or governance requirements that affect delivery.
Deadline & operating cadenceShare the target delivery date, reporting frequency, refresh expectation and any approval or launch milestone.
Helpful to include: a sample dataset or schema, current report screenshots, KPI dictionary, expected dashboard pages, preferred package, required file formats and known source-data issues.