Services
We deliver comprehensive data science and technology solutions built on transferable technical capabilities:
- R programming and statistical analysis
- Modern web development and responsive design
- Cloud infrastructure and deployment
- Software engineering best practices
- Solving complex analytical and technical challenges across diverse industries and domains
Core Services
Advanced Analytics & Statistical Consulting
Transform complex data into actionable insights using rigorous statistical methods, predictive modeling and advanced analytical techniques.
Core Capabilities:
Exploratory Data Analysis
- Comprehensive data profiling and pattern detection
- Multivariate analysis and dimensionality reduction
- Outlier detection and anomaly identification
- Data visualization and insight communication
Statistical Modeling & Inference
- Regression analysis (linear, logistic, GLM, mixed effects)
- Time series analysis and forecasting
- Survival analysis and event history modeling
- Bayesian inference and hierarchical modeling
Predictive Analytics & Machine Learning
- Classification and regression models
- Ensemble methods and model stacking
- Feature engineering and selection
- Model validation and performance evaluation
- Uncertainty quantification
Experimental Design & Causal Inference
- A/B testing and experimental design
- Power analysis and sample size determination
- Propensity score matching
- Difference-in-differences analysis
- Instrumental variables and causal DAGs
Spatial & Geospatial Analysis
- Spatial statistics and geostatistics
- Point pattern analysis
- Spatial interpolation and kriging
- Geographic information systems integration
Example Applications:
Environmental: Impact prediction modeling, baseline environmental data analysis, biodiversity metrics, regulatory compliance analytics (ESIA/EIA frameworks)
Healthcare: Clinical trial analysis, epidemiological modeling, patient outcome prediction, health services research
Business: Customer churn prediction, demand forecasting, pricing optimization, market segmentation
Finance: Risk modeling, credit scoring, portfolio optimization, fraud detection
Research: Survey analysis, meta-analysis, publication-quality statistical reporting
Why This Matters:
Rigorous statistical analysis ensures your decisions are based on evidence, not assumptions. Our methodologically sound approach produces defensible, reproducible results that stand up to scrutiny.
Typical Deliverables:
- Comprehensive statistical reports with clear interpretation
- Reproducible R analysis scripts and documentation
- Publication-ready visualizations and tables
- Model validation and diagnostic reports
- Technical documentation and methodology descriptions
Tools & Technologies: R, tidyverse, tidymodels, caret, Stan, brms, mgcv, sf, spatial packages
Data Management & Integration
Design and implement robust data pipelines, quality assurance frameworks and integration systems that ensure data reliability, accessibility and scalability.
Core Capabilities:
Data Pipeline Development
- ETL (Extract, Transform, Load) process design
- Automated data ingestion from multiple sources
- Real-time and batch processing workflows
- Scalable data processing architectures
Data Quality & Validation
- Comprehensive data validation frameworks
- Automated quality checks and anomaly detection
- Data cleansing and standardization
- Metadata management and documentation
Database Design & Optimization
- Relational and NoSQL database design
- Query optimization and performance tuning
- Data warehousing and dimensional modeling
- Version control and change tracking
API Development & Integration
- RESTful API design and implementation
- Third-party API integration
- Authentication and security protocols
- Rate limiting and error handling
Reporting & Dashboard Automation
- Automated report generation systems
- Scheduled data refreshes and distribution
- Multi-format output (PDF, Excel, HTML, interactive)
- Email notifications and alerting
Example Applications:
Environmental: Multi-source environmental monitoring integration, ESIA data repositories, sustainability KPI tracking, ESG reporting systems, biodiversity databases
Healthcare: Electronic health records integration, clinical data warehouses, patient monitoring systems, regulatory reporting
Business: Customer data platforms, sales and marketing analytics, inventory management, financial reporting automation
Research: Multi-study data integration, longitudinal research databases, publication data management, open data repositories
Public Sector: Open data portals, performance monitoring systems, citizen feedback platforms, transparency dashboards
Why This Matters:
Poor data management leads to inconsistent reporting, compliance issues and missed insights. Well-designed data systems become strategic assets that enable agile decision-making.
Typical Deliverables:
- Production-ready data pipelines with monitoring
- Comprehensive data quality reports and dashboards
- Database schema and technical documentation
- API documentation and integration guides
- Automated reporting systems with scheduling
Tools & Technologies: R, databases (PostgreSQL, MySQL, SQLite), Plumber, httr, DBI, dbplyr, pins
Enterprise R Application Development
Build production-grade analytical applications and interactive dashboards using modern R frameworks and professional software engineering practices.
Core Capabilities:
Interactive Shiny Applications
- Modular architecture using Rhino framework
- Clean separation of concerns (UI, server, business logic)
- Responsive design with bslib and Bootstrap
- Performance optimization for large datasets
- Real-time data updates and reactivity
Data Visualization & Dashboards
- Interactive plots with plotly and highcharter
- Geographic visualizations with leaflet
- Custom ggplot2 themes and extensions
- Executive dashboards and KPI tracking
- Multi-page applications with navigation
Software Engineering Best Practices
- Comprehensive unit and integration testing (testthat, shinytest2)
- Code review and quality standards
- Version control with git
- Continuous integration/deployment (CI/CD)
- Documentation with roxygen2 and pkgdown
Security & Authentication
- User authentication (OAuth, LDAP, database)
- Role-based access control (RBAC)
- Session management and security headers
- Data encryption in transit and at rest
- Audit logging and compliance
Deployment & DevOps
- Cloud deployment (AWS, Azure, Google Cloud)
- Posit Connect and Shiny Server
- Containerization with Docker
- Load balancing and scaling strategies
- Monitoring, logging and error tracking
Example Applications:
Environmental: Real-time environmental monitoring dashboards, ESIA data exploration platforms, sustainability reporting systems, compliance tracking tools
Healthcare: Clinical trial dashboards, patient outcome trackers, hospital performance monitoring, epidemiological visualization tools
Business: Sales analytics dashboards, customer segmentation tools, inventory management systems, financial reporting platforms
Research: Interactive data explorers for publications, research collaboration platforms, grant portfolio tracking, lab management systems
Public Sector: Citizen feedback portals, budget transparency dashboards, performance monitoring systems, open data exploration tools
Why Choose R for Applications:
R excels at statistical computing and data visualization, making it ideal for analytical applications. Combined with modern frameworks like Rhino, you get enterprise-grade applications with the analytical power R is known for.
Typical Deliverables:
- Production-ready Shiny applications
- Comprehensive test suites and documentation
- Deployment configurations and guides
- User manuals and training materials
- Source code with version control
Tools & Technologies: rhino, shiny, bslib, plotly, leaflet, DT, testthat, shinytest2, Docker, git
Data Visualization & Reporting
Create compelling visualizations, automated reports and interactive presentations that communicate complex data insights clearly and effectively.
Core Capabilities:
Publication-Quality Visualizations
- Custom ggplot2 graphics with professional themes
- Statistical plots (distributions, correlations, regressions)
- Network diagrams and relationship visualizations
- Infographics and explanatory graphics
- Print-ready figures for publications
Interactive Visualizations
- Dynamic plotly and highcharter graphics
- Geographic maps with leaflet
- Interactive tables with DT and reactable
- Drill-down and filtering capabilities
- Export and sharing functionality
Automated Reporting
- Parameterized Quarto/R Markdown reports
- Scheduled report generation and distribution
- Multi-format output (PDF, Word, HTML, PowerPoint)
- Template-based report systems
- Version-controlled documentation
Dashboards & Communication Platforms
- Executive summary dashboards
- Real-time KPI monitoring
- Stakeholder-facing data portals
- Internal analytics platforms
- Mobile-responsive designs
Data Storytelling
- Narrative-driven presentations
- Guided data exploration
- Contextual annotations and insights
- Audience-specific communication strategies
- Clear, jargon-free explanations
Example Applications:
Research: Publication figures, supplementary materials, research summaries, grant reporting, conference presentations
Business: Executive dashboards, quarterly reports, customer insights, market analysis, performance tracking
Public Sector: Transparency portals, performance monitoring, citizen engagement, budget visualization, open data platforms
Healthcare: Clinical trial results, patient outcomes, epidemiological reports, hospital dashboards, public health communication
Environmental: Environmental monitoring reports, impact assessments, sustainability dashboards, compliance reporting, stakeholder communication
Why Visualization Matters:
Good visualizations donβt just make data prettyβthey make it understandable. Effective data communication drives better decisions, stakeholder buy-in and organizational alignment.
Typical Deliverables:
- Custom visualizations in multiple formats
- Interactive dashboards with user controls
- Automated report templates and systems
- Style guides and brand-aligned designs
- Source code and reproducible workflows
Tools & Technologies: ggplot2, plotly, highcharter, leaflet, DT, reactable, Quarto, R Markdown, flexdashboard
R Package Development & Custom Tools
Build custom R packages and analytical tools to standardize workflows, share methodologies and increase team productivity across your organization.
Core Capabilities:
Package Architecture & Design
- Clean, modular package structure
- Well-defined APIs and interfaces
- Dependency management and version control
- Namespace management and exports
- S3/S4/R6 object systems as appropriate
Documentation & User Experience
- Comprehensive roxygen2 documentation
- Vignettes and tutorials
- pkgdown websites for package documentation
- Function examples and use cases
- README and Getting Started guides
Testing & Quality Assurance
- Unit tests with testthat
- Code coverage analysis
- Continuous integration setup
- Error handling and input validation
- Edge case testing
Distribution & Deployment
- Internal package repositories
- CRAN submission preparation
- GitHub releases and versioning
- Docker containers with pre-installed packages
- Installation guides and troubleshooting
Maintenance & Support
- Bug tracking and issue management
- Version updates and changelog
- Backward compatibility considerations
- User support and documentation updates
Example Applications:
Research: Standardized analysis workflows, reproducible research tools, discipline-specific statistical methods, publication automation
Business: Internal analytics frameworks, reporting templates, data validation rules, company-specific calculations
Environmental: ESIA analysis frameworks, environmental data processing tools, regulatory compliance helpers, sustainability metrics calculators
Healthcare: Clinical trial analysis packages, patient data processing, regulatory reporting tools, epidemiological methods
General: Data quality checking tools, visualization themes, API wrappers, workflow automation
Why Build Custom Packages:
Packages codify institutional knowledge, ensure consistency and accelerate analysis. They turn repetitive tasks into one-line function calls and make complex methodologies accessible to entire teams.
Typical Deliverables:
- Fully functional R package with tests
- Comprehensive documentation website
- Installation and usage guides
- Training materials for package users
- Source code repository with CI/CD
Tools & Technologies: devtools, usethis, roxygen2, testthat, pkgdown, R CMD check, GitHub Actions
Web Development & Cloud Solutions
Build modern, scalable web applications and cloud-native solutions with professional development practices, responsive design and enterprise-grade infrastructure.
Core Capabilities:
Modern Web Development
- Responsive web design and development
- Progressive web applications (PWAs)
- Single-page applications (SPAs)
- RESTful API development
- Frontend frameworks (React, Vue)
- Backend development (Node.js, Python)
Cloud Infrastructure & DevOps
- AWS, Azure, and Google Cloud Platform
- Infrastructure as Code (Terraform, CloudFormation)
- Container orchestration (Docker, Kubernetes)
- CI/CD pipeline setup and automation
- Serverless architectures (Lambda, Cloud Functions)
- Monitoring and logging solutions
Application Deployment & Hosting
- Cloud-native application deployment
- Load balancing and auto-scaling
- CDN configuration and optimization
- SSL/TLS certificate management
- Database hosting and management
- Backup and disaster recovery
Security & Compliance
- Web application security best practices
- Authentication and authorization (OAuth, JWT)
- Data encryption and privacy
- GDPR and compliance requirements
- Security audits and penetration testing
- DDoS protection and WAF configuration
Performance Optimization
- Website speed optimization
- Database query optimization
- Caching strategies (Redis, CDN)
- Asset minification and bundling
- Performance monitoring and analytics
- Core Web Vitals optimization
Example Applications:
Business: Corporate websites, customer portals, e-commerce platforms, SaaS applications, CRM systems
Environmental: Environmental data portals, ESIA reporting platforms, sustainability dashboards, monitoring systems
Analytics: Interactive dashboards, data visualization platforms, reporting systems, business intelligence tools
Public Sector: Government portals, open data platforms, citizen services, transparency websites
Education: Learning management systems, research portals, collaboration platforms, academic websites
Why Choose Our Approach:
Modern web development requires balancing user experience, performance, security and maintainability. We build solutions that are fast, secure, scalable and easy to maintain, using industry best practices and proven technologies.
Typical Deliverables:
- Production-ready web applications with responsive design
- Cloud infrastructure setup and configuration
- CI/CD pipelines for automated deployment
- Comprehensive documentation and user guides
- Security audits and compliance reports
- Performance optimization reports
- Ongoing maintenance and support plans
Tools & Technologies: HTML5, CSS3, JavaScript/TypeScript, React, Vue, Node.js, Python, Docker, Kubernetes, AWS, Azure, GCP, Terraform, GitHub Actions, Nginx
Training & Capacity Building
Empower your team with practical R programming skills, statistical methods and modern data science workflows tailored to your organizationβs needs and domain.
Core Training Programs:
Introduction to R for Data Analysis
- R fundamentals and RStudio workflow
- Data manipulation with tidyverse (dplyr, tidyr)
- Data visualization with ggplot2
- Importing and exporting data
- Basic statistical analysis
- Reproducible workflows with R Markdown
Advanced R Programming
- Functional programming concepts
- Writing efficient R code
- Package development basics
- Debugging and profiling
- Working with APIs
- Best practices and code style
Statistical Analysis with R
- Exploratory data analysis
- Regression modeling (linear, logistic, GLM)
- Hypothesis testing and inference
- Time series analysis
- Spatial statistics
- Model validation and diagnostics
Shiny Application Development
- Shiny fundamentals and reactivity
- UI design with bslib
- Modular Shiny with Rhino framework
- Testing Shiny applications
- Deployment strategies
- Performance optimization
Reproducible Research & Reporting
- Quarto and R Markdown
- Version control with git and GitHub
- Project organization best practices
- Automated reporting workflows
- Literate programming
- Publication-ready outputs
Domain-Specific Workshops
- Environmental: ESIA data analysis, environmental monitoring, sustainability metrics, geospatial analysis
- Healthcare: Clinical trial analysis, epidemiological methods, patient data workflows
- Business: Customer analytics, forecasting, marketing analysis, financial modeling
- Research: Survey analysis, experimental design, meta-analysis, research data management
- Public Sector: Performance metrics, transparency reporting, policy analysis
Delivery Options:
In-Person Workshops: On-site training at your organization, hands-on exercises with your data, direct interaction and Q&A, team building and collaboration
Virtual Training: Live online sessions via Zoom/Teams, interactive coding exercises, recorded sessions for review, flexible scheduling
Hybrid Programs: Combination of live sessions and self-paced learning, online resources and exercises, regular check-ins and support, project-based assessments
Custom Curriculum Development: Designed for your specific use cases, incorporates your organizationβs data and workflows, aligned with your teamβs skill levels, ongoing support and mentoring
What You Get:
- Comprehensive training materials and code examples
- Practice datasets and exercises
- Reference guides and cheat sheets
- Certificate of completion
- Post-training support period
- Access to a community forum or Slack channel
Why Invest in Training:
Building in-house R capabilities reduces dependence on external consultants, accelerates analysis workflows and ensures institutional knowledge is retained and shared across teams.
Investment & Pricing
We structure our engagements to deliver maximum value while maintaining transparency in pricing. As a boutique consultancy transitioning to a private limited company structure, we offer competitive rates that reflect our specialized expertise and enterprise-grade delivery standards.
Engagement Options
Hourly Consulting
KSH 5,000 - 10,000 per hour
Variable based on project complexity and specialization
Best for: - Ad-hoc analytical support - Technical advisory - Code reviews - Short consultations
Typical rate ranges: - Standard analytics: KSH 5,000 - 6,500/hr - Specialized environmental: KSH 7,000 - 9,000/hr - Advanced modeling: KSH 6,500 - 8,500/hr - Strategic consulting: KSH 8,000 - 12,000/hr
Project-Based
Most Popular
KSH 200,000 - 1,500,000+
Fixed-price delivery with defined scope and milestones
Best for: - Dashboard development - Statistical analysis projects - Custom R packages - Data pipeline implementation - ESIA data analysis - Reproducible research systems
Whatβs included: - Comprehensive project scoping - Regular progress updates - Complete documentation - Testing and quality assurance - Knowledge transfer session - 30-day post-delivery support
Monthly Retainer
Starting at KSH 300,000/month
Dedicated monthly hours with priority access
Best for: - Ongoing analytical support - Continuous application maintenance - Monthly reporting cycles - On-call statistical expertise
Benefits: - Priority response time - Flexible scope adjustments - Predictable budgeting - Strategic partnership - 10-15% discount vs hourly rates
What Influences Project Pricing?
Project Complexity Simple dashboards vs. complex statistical models require different levels of effort
Specialized Expertise Required Environmental compliance, biodiversity data, spatial analysis command premium rates
Timeline & Urgency Rush projects may require premium rates; flexible timelines offer better value
Data Readiness Clean, well-documented data accelerates delivery; data wrangling adds scope
Deliverable Scope Reports only vs. interactive applications vs. production systems scale differently
Sample Project Estimates
| Project Type | Typical Investment | Timeline |
|---|---|---|
| Statistical Analysis Report | KSH 200,000 - 400,000 | 2-3 weeks |
| Interactive Shiny Dashboard | KSH 400,000 - 800,000 | 4-6 weeks |
| Custom R Package | KSH 350,000 - 700,000 | 3-5 weeks |
| Environmental Data Analysis (ESIA) | KSH 500,000 - 1,200,000 | 4-8 weeks |
| Data Pipeline & Integration | KSH 600,000 - 1,500,000 | 6-10 weeks |
| Training Workshop (2-day) | KSH 300,000 - 500,000 | 2 days + prep |
| Enterprise Analytics Platform | KSH 2,000,000+ | 3-6 months |
Note: Estimates are indicative and vary based on specific requirements. Contact us for a detailed quote tailored to your project.
Why Invest in Quality Analytics?
Poor data analysis and fragile systems cost organizations far more in the long run than investing in quality from the start. Our approach delivers:
- Reproducible Results: Scientifically rigorous, auditable analyses
- Maintainable Systems: Code that your team can understand and extend
- Enterprise Standards: Production-ready solutions, not prototypes
- Knowledge Transfer: Your team learns while we build
- Long-term Value: Solutions that scale and adapt with your needs
Every engagement begins with a complimentary 30-minute consultation to understand your needs and explore how we can helpβno obligation, no sales pressure.
How We Work
π Project-Based
Best for: Well-defined deliverables with clear scope and timeline
What you get: - Fixed price and delivery date - Dedicated project team - Regular progress updates - Complete documentation - Knowledge transfer session
Examples: - Statistical analysis for research study - Custom dashboard development - R package creation - Data pipeline implementation
π€ Retainer Partnership
Best for: Ongoing analytical support and iterative development
What you get: - Dedicated monthly hours - Priority response time - Flexible scope adjustments - Strategic advisory role - Long-term relationship
Examples: - Monthly data analysis and reporting - Continuous application enhancement - On-call statistical expertise - Ad-hoc analytical support
π Training & Workshops
Best for: Building in-house capability and upskilling teams
What you get: - Customized curriculum - Hands-on practical exercises - Your own data and examples - Post-training materials - Follow-up support
Examples: - R fundamentals workshop - Statistical modeling training - Shiny development bootcamp - Domain-specific analytics course
Our Process
We follow a structured yet flexible approach that ensures quality delivery while adapting to your specific needs.
1. Discovery
Free 30-min consultation to understand your needs and challenges
2. Proposal
Detailed scope, approach, timeline and transparent pricing
3. Agreement
Clear contract with defined deliverables and success criteria
4. Execution
Regular updates, collaboration and iterative refinement
5. Delivery
Complete solution with documentation and training
6. Support
Optional maintenance and ongoing partnership
Frequently Asked Questions
Do you work with clients outside Kenya?
Yes! While weβre based in Kenya with deep expertise in Kenyan environmental regulations, we work with clients globally. Our R programming and analytical expertise is applicable anywhere.
What size organizations do you work with?
We work with organizations of all sizesβfrom individual consultants and NGOs to government agencies and large corporations. Our boutique approach means we provide senior-level attention regardless of project size.
Can you help with urgent/short-deadline projects?
Weβll always be honest about whatβs feasible. Contact us to discuss your timeline and weβll let you know if we can help or suggest alternatives.
Do you provide ongoing support after project completion?
Yes! We offer maintenance retainers and can provide ongoing support as needed. We want your solutions to remain valuable long-term.
How do you ensure data confidentiality?
We treat all client data with strict confidentiality, use secure communication channels, can sign NDAs and follow data protection best practices.
Letβs Build Something Together
Every analytical challenge is unique. Whether you need rigorous statistical analysis, enterprise R applications, reproducible workflows, or team training, we bring the technical expertise and methodological rigor to deliver results.
What Happens Next?
- Schedule a free 30-minute consultation to discuss your needs and challenges
- Receive a tailored proposal outlining our approach, timeline and transparent pricing
- Start your project with clear milestones, deliverables and regular communication
No sales pressure. No obligations. Just honest conversation about how we can help.
Schedule Your Free Consultation
Or email us directly: jeankwizera@kwizresearch.com