Data Intelligence & Analytics
Data cleaning, analysis, BI dashboards, automated reports and predictive models built from the questions your team needs answered, with metric definitions and data-quality checks documented so the numbers can be trusted.
Marvelous Complete Design and IT Solution · Raipur, India · Remote collaboration for Indian and international clients
Discuss your projectService scope
- Data collection review, cleaning and preparation
- Data mining, business analytics and reporting
- Business intelligence dashboards and customer insights
- Predictive modelling and market research analysis
What your team receives
- Data-source inventory and metric definitions
- Analysis, reporting views or an agreed dashboard
- Refresh process, data-quality checks and handover documentation
Deliverables, access requirements and final formats are confirmed in the project scope.
How this can work
A retail business may need an inventory and sales view across locations. A service team may need enquiry and project reporting. We establish comparable definitions and check data quality before interpreting patterns, so a dashboard does not hide gaps in the underlying records.
Project process
- Define questions, metrics and available data sources
- Clean and connect records with documented assumptions
- Build reporting and review how users interpret it
Questions buyers ask about data analytics and BI dashboards
How do you make sure the numbers are right?
Each metric gets a written definition, and records are checked for gaps, duplicates and inconsistent categories before any pattern is interpreted.
How often will the dashboard update?
Refresh frequency depends on how the source systems can be accessed, and is agreed in the scope together with who maintains it.
Who can see our data?
Access is limited to the people working on the project, and data handling is agreed before any access is given.
Does predictive analysis guarantee future results?
No. A predictive model estimates outcomes under stated assumptions. Its limitations, validation approach and update needs accompany its results.
How to send your requirement
Include as much of this as you can. Rough answers are fine.
- The decisions or questions the analysis must support
- A list of data sources: what each contains, its format and who owns it
- A small sample export with personal details removed
- How your team currently defines key numbers, such as a sale, an active customer or an enquiry
- Who will use the reports and on which devices
- How fresh the data must be, and any confidentiality rules
You can copy this outline into the enquiry form, an email or WhatsApp:
Service: Data analytics / dashboards Organisation and country: Questions the reports must answer: Data sources (system, format, owner): Sample export available? (yes/no): Who will use the dashboard: How fresh the data must be: Confidentiality rules: Timeline:
Files such as briefs, samples or references can be shared as links in your message, or attached to an email.
marvelous@mgitcreative.com · +91 9329881804 · WhatsApp
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