Discovery & KPI mapping
Leaders and teams agree the questions, KPIs and targets that matter, with clear definitions.
You receive: KPI dictionary
Service 09
Data Architecture, Analytics & Business Intelligence
Turn operational data into information managers can understand and act on.
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- Account name
- Extrion Tech
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Mixx by Yas- Number
- +255 674 020 223
- Name
- Habiil Jamal Salim
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Overview
Data Architecture
We turn fragmented operational information into structured data, dashboards and management intelligence that organisations can use to make decisions.
The problem
Teams spend days collecting figures from different sources before a report is ready, and by then the numbers are already out of date or inconsistent.
What we deliver
Service components
Dashboards, KPI reporting, data consolidation, management reports, data visualisation, database design, reporting automation, data integration and decision-support systems.
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Data architecture
A clear structure for where data lives, how it flows and who owns it.
- Data model
- Data flows
- Ownership
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Database design
Reliable, well-structured databases designed for performance and growth.
- Schema design
- Indexes
- Backups
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Data integration
Data from different systems combined into one consistent source.
- Pipelines
- Cleansing
- Scheduling
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Business intelligence dashboards
Interactive dashboards that let managers explore performance at a glance.
- Interactive
- Drill-down
- Role-based
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KPI reporting
The measures that matter defined once and reported consistently.
- KPI definitions
- Targets
- Trends
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Data visualisation
Charts and visuals designed so the message in the numbers is clear.
- Clear charts
- Maps
- Storytelling
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Automated reporting
Reports generated and sent on schedule, without manual copying.
- Scheduled
- Email delivery
- Exports
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Management information systems
Systems that bring operational data together for planning and decisions.
- Consolidated view
- Planning
- Decisions
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Data quality and governance
Rules, checks and responsibilities that keep data accurate and protected.
- Validation rules
- Access control
- Stewardship
Data & BI Technologies
From scattered data to trusted dashboards.
The databases, pipelines and BI tools we use to design data platforms, automate reporting and keep figures consistent.
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Databases
PostgreSQL
PostgreSQL is a robust open-source database known for reliability, data integrity and advanced features such as JSON and geographic data.
Key capabilities
- Transactions you can trust
- JSON and geographic data
- Replication for high availability
Typical business applications
- Business systems and ERPs
- Platforms with many users
Supported platforms
Linux Windows macOS Cloud
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Databases
MySQL
MySQL is a fast, widely supported relational database that runs most web hosting and many business applications.
Key capabilities
- Fast reads for web apps
- Replication and backups
- Supported by every host
Typical business applications
- Websites and portals
- Business and enterprise apps
Supported platforms
Linux Windows macOS Cloud
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Databases
Microsoft SQL Server
SQL Server is Microsoft's database for business systems, with reporting, high availability and close integration with Windows and .NET.
Key capabilities
- Always On availability
- Reporting and analysis services
- Windows and Active Directory security
Typical business applications
- Accounting and ERP systems
- Enterprise Windows software
Supported platforms
Windows Linux Cloud
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Databases
MongoDB
MongoDB stores JSON-like documents, which suits data whose shape changes often, and scales across many servers.
Key capabilities
- Flexible document schema
- Horizontal scaling
- Rich query language
Typical business applications
- Catalogues and content
- Event and log data
Supported platforms
Linux Windows Cloud
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Databases
DuckDB
DuckDB runs fast analytical queries on files and tables without a server.
Key capabilities
- Columnar speed
- Reads CSV and Parquet
- No server
Typical business applications
- Lightweight analytics
Supported platforms
Linux Windows macOS
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Pipelines & Transformation
Python
Python runs APIs, data processing, AI features and automation scripts, and also builds simple cross-platform desktop tools.
Key capabilities
- Data and AI libraries
- Fast scripting and automation
- APIs with Django or FastAPI
Typical business applications
- Reports and data pipelines
- Internal utilities
Supported platforms
Windows macOS Linux Cloud
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Pipelines & Transformation
pandas
pandas cleans, joins and reshapes business data before it reaches reports.
Key capabilities
- Data cleaning
- Joins and pivots
- Excel and CSV input
Typical business applications
- Data preparation
Supported platforms
Linux Windows macOS
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Pipelines & Transformation
dbt
dbt turns raw tables into clean, tested reporting models using SQL.
Key capabilities
- SQL models
- Data tests
- Documentation
Typical business applications
- Reliable KPI definitions
Supported platforms
Linux Cloud
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Pipelines & Transformation
Apache Airflow
Airflow schedules and monitors multi-step pipelines written in Python.
Key capabilities
- Scheduling
- Dependencies and retries
- Monitoring UI
Typical business applications
- Nightly data loads
- Report generation
Supported platforms
Linux Cloud
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Pipelines & Transformation
Apache Spark
Spark processes large datasets in parallel for analytics and machine learning.
Key capabilities
- Distributed processing
- SQL and Python
- Streaming
Typical business applications
- Large-volume analytics
Supported platforms
Linux Cloud
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Dashboards & BI
Microsoft Power BI
Power BI builds interactive dashboards and shares them securely within Microsoft 365.
Key capabilities
- Interactive dashboards
- Data modelling
- Row-level security
Typical business applications
- Management dashboards
Supported platforms
Windows Cloud Android iOS
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Dashboards & BI
Metabase
Metabase lets staff ask questions of the data and build dashboards without writing SQL.
Key capabilities
- Self-service questions
- Dashboards
- Self-hosting
Typical business applications
- Operational reporting
Supported platforms
Linux Cloud
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Dashboards & BI
Apache Superset
Superset explores data and builds rich dashboards over many databases.
Key capabilities
- Rich charts
- SQL Lab
- Role-based access
Typical business applications
- Organisation-wide BI
Supported platforms
Linux Cloud
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Dashboards & BI
Looker Studio
Looker Studio builds shareable dashboards from Analytics, Sheets, BigQuery and other sources.
Key capabilities
- Free dashboards
- Google connectors
- Scheduled email
Typical business applications
- Marketing and SEO reports
Supported platforms
Web Cloud
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Dashboards & BI
Grafana
Grafana turns metrics and logs from many sources into live dashboards and alerts.
Key capabilities
- Live dashboards
- Alerting
- Many data sources
Typical business applications
- Infrastructure dashboards
- Business KPIs
Supported platforms
Linux Windows Cloud
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Data Warehouses
Google BigQuery
BigQuery stores and queries large datasets without managing servers.
Key capabilities
- Serverless SQL
- Scales automatically
- Built-in ML
Typical business applications
- Central data warehouse
Supported platforms
Cloud
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Data Warehouses
Snowflake
Snowflake separates storage and compute for flexible, governed analytics in the cloud.
Key capabilities
- Elastic compute
- Data sharing
- Governance
Typical business applications
- Enterprise data warehouse
Supported platforms
Cloud
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Spreadsheets & Light Data
Microsoft Excel
Excel remains the everyday analysis tool; Power Query and connected tables keep it in sync with live data.
Key capabilities
- Power Query
- Pivot tables
- Connected data
Typical business applications
- Finance and operations analysis
Supported platforms
Windows macOS Cloud
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Spreadsheets & Light Data
Google Sheets
Google Sheets shares live spreadsheets and connects to forms, scripts and dashboards.
Key capabilities
- Real-time sharing
- Apps Script
- Connected sheets
Typical business applications
- Light data collection
Supported platforms
Web Android iOS
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Spreadsheets & Light Data
Airtable
Airtable organises records with forms, views and automations, a step up from spreadsheets.
Key capabilities
- Linked records
- Forms and views
- Automations
Typical business applications
- Small operational databases
Supported platforms
Web Cloud
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How We Build Reporting
Combinations for reliable figures
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PostgreSQL + dbt + Metabase
Open-source BI platform
A central database, tested KPI models and self-service dashboards.
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Microsoft SQL Server + Microsoft Power BI
Microsoft reporting
Power BI dashboards on SQL Server, shared securely in Microsoft 365.
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Apache Airflow + Python + Microsoft Excel
Automated reports
Scheduled pipelines that refresh the spreadsheets managers already use.
From scattered data to decisions
How we turn data into insight
Dashboards are only as good as the questions behind them. We start with the decisions you need to make and work back to the data.
- 06Clear stages
- 6Deliverables you keep
- Your sign-off at every stage
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Step 01 1 week -
Step 02 1 week Data source assessment
We audit every source: systems, spreadsheets, devices, for quality, ownership and access.
You receive: Data source inventory
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Step 03 2–4 weeks Data model & integration
Pipelines bring data together into one clean, documented model that refreshes automatically.
You receive: Integrated data model
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Step 04 2–3 weeks Dashboard & reporting design
Clear, role-based dashboards and scheduled reports put the right numbers in front of the right people.
You receive: Dashboards & reports
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Step 05 1 week Validation & training
Numbers are reconciled with finance and operations, and users learn to explore data themselves.
You receive: Validated reports & training
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Step 06 Ongoing Ongoing improvement
New questions, sources and KPIs are added as the organisation learns from its data.
You receive: Analytics roadmap
Business outcomes
What changes for you
- Reduce manual reporting.
- Improve visibility across departments.
- Create a single source of operational truth.
- Identify trends and bottlenecks faster.
- Support evidence-based decision making.
Technologies & capabilities
Dashboards / BI / Reporting
Database design
Data integration
Deliverables
- Design and documentation
- Implementation, testing and handover
- User and administrator training
- Support and maintenance options
FAQ
Common questions
Where should we start with business intelligence?
A focused dashboard for one department can prove value before the organisation expands into broader reporting.
Related projects
Where we’ve delivered this
Talk to us about data architecture
Your technology should make work easier, not create more work. Tell us what you are trying to solve, and we will help you map the right solution.
