Turn business data into decisions

Data & analytics for Kenyan businesses that need a clearer way to attract customers, run operations and grow with confidence. Build dashboards, reporting systems and analytics workflows that give your team a clearer view of performance.

We connect strategy, design, delivery and practical support around the outcome you need. The result is a service that is easier for your team to use, easier to measure and easier to improve after launch.

Our service pages answer the questions customers and search engines need answered: what the service is, who it suits, what is included, how it works, how packages compare, what continues after launch and how to request a quote. That clear context supports SEO, answer engines, local search and AI-generated overviews without making promises about rankings or recommendations.

ServiceData & analytics planned around your requirement.
LocationKenya-wide delivery with local business context.
OutcomeClearer workflows, stronger customer experience and measurable next steps.
SupportLaunch, maintenance and continued improvement when needed.
From KSh 75,000Starting price
5Starting packages
Kenya-wideDelivery and support
15Optional add-ons

Why businesses choose Kissor Digital for analytics

Decisions before decoration

We define the decisions and metrics first, then design dashboards that support them.

Consistent definitions

The team agrees what a KPI means before different reports start producing different answers.

Useful handover

Users receive clear reporting views and guidance instead of a dashboard nobody trusts.

Data is not useful when every report tells a different story

Scattered sources

Sales, marketing, operations and finance data live in separate places.

Manual reporting

Staff spend hours exporting, cleaning and combining files before a meeting.

Unclear metrics

Different teams calculate the same performance measure in different ways.

Late decisions

Leaders see the result after the opportunity or problem has already moved on.

A clear reporting layer turns approved data into action

Define the questions

We identify the decisions, audiences and outcomes the reporting must support.

Review the sources

We assess access, structure, quality, ownership and relationships between data.

Create the model

We structure metrics and transformations so the calculations are repeatable.

Build the dashboard

We create views, filters and reporting paths for the people who use them.

Improve over time

We can add sources, metrics and automated reporting as the operation matures.

Data & analytics is most effective when it is connected to the wider customer journey and operating workflow, not treated as an isolated deliverable.

What's Included in Data & analytics

Build dashboards, reporting systems and analytics workflows that give your team a clearer view of performance. We scope the right level of planning, delivery, testing and handover for the work involved.

✔ Data-source review and metric definition
✔ Data cleaning, transformation and business rules
✔ Dashboards, KPI views and scheduled reporting
✔ Documentation and handover for the people using the reports

Suitable for teams that need clearer decisions from their data

  • Businesses bringing sales, operations, marketing or finance data together
  • Teams replacing manual reports with repeatable dashboards
  • Leaders who need shared KPIs, filters, trends and regular reporting

Why us for dashboards and business intelligence

  • We keep metrics tied to business decisions rather than producing charts without an owner.
  • We can combine analytics with software, integrations and cloud work when the data needs a stronger foundation.
  • We explain data assumptions and limitations clearly so reports are used responsibly.
  • We design for the people who need to act on the information, not only the people who build it.

How we turn data into useful reporting

  1. Define the decisions

    We identify the questions, audiences and metrics the reporting must support.

  2. Review the data sources

    We assess the available data, quality, access and relationships between sources.

  3. Prepare the reporting model

    We clean and structure the data so the calculations are consistent and explainable.

  4. Build and review dashboards

    We create the agreed views and refine them with the people who will use them.

  5. Automate and improve

    We document the dashboards and can extend them with new sources, metrics or forecasts.

Data & analytics packages and pricing

Choose a starting package, then use the add-ons below to shape the scope around your business.

Business Dashboard

From KSh 75,000

A focused dashboard for the KPIs your team needs most.

  • ✓ Data source connection
  • ✓ KPI dashboard
  • ✓ Handover and training
  • ✓ Scope dependent
Build this quote

BI & Reporting System

From KSh 250,000

A broader reporting system with governed metrics and access.

  • ✓ Multiple data sources
  • ✓ Reporting workflows
  • ✓ Role-aware access
  • ✓ Discovery required
Build this quote

Analytics Platform

From KSh 500,000

A scalable analytics foundation for a larger organisation.

  • ✓ Data transformation
  • ✓ Analytics architecture
  • ✓ Operational reporting
  • ✓ Discovery required
Build this quote

AI-Powered Analytics

From KSh 300,000

Use AI-assisted insights, summaries and recommendations on business data.

  • ✓ AI insight layer
  • ✓ Natural-language summaries
  • ✓ Decision support
  • ✓ Discovery required
Build this quote

Add only what you need

Additional dashboard From KSh 30,000

Add another focused dashboard or business view

Additional data source From KSh 25,000

Connect another approved source of business data

Automated reports From KSh 40,000

Schedule recurring reports for selected stakeholders

Advanced KPI model From KSh 40,000

Add governed KPIs and calculation logic

Data cleaning From KSh 30,000

Clean and standardise an approved dataset

Data transformation From KSh 40,000

Transform source data for reliable reporting

Data migration From KSh 50,000

Move reporting data from an existing system

Data integration From KSh 50,000

Connect and synchronise approved data systems

Advanced analytics From KSh 75,000

Add deeper segmentation, trends or performance analysis

AI insights From KSh 100,000

Add AI-assisted interpretation and recommendations

Executive reporting From KSh 50,000

A concise executive view of business performance

Data warehouse Custom quote

Design and build a central analytical data store

ETL pipeline Custom quote

Build a repeatable extract, transform and load pipeline

Real-time analytics Custom quote

Design reporting for live or near-real-time data

Predictive analytics Custom quote

Forecasting and predictive modelling after discovery

Compare Data & analytics packages at a glance

Use the comparison to choose a starting point. The final scope is confirmed after we understand your content, users, integrations, infrastructure and delivery requirements.

Package details Business Dashboard From KSh 75,000 Most Selected Advanced Dashboard From KSh 150,000 BI & Reporting System From KSh 250,000 Analytics Platform From KSh 500,000 AI-Powered Analytics From KSh 300,000
Package summary
Summary A focused dashboard for the KPIs your team needs most. Multiple dashboards for teams, departments or business functions. A broader reporting system with governed metrics and access. A scalable analytics foundation for a larger organisation. Use AI-assisted insights, summaries and recommendations on business data.
Data source connection ✓ — — — —
KPI dashboard ✓ — — — —
Handover and training ✓ — — — —
Multiple views — ✓ — — —
Filters and drill-downs — ✓ — — —
Automated reporting — ✓ — — —
Multiple data sources — — ✓ — —
Reporting workflows — — ✓ — —
Role-aware access — — ✓ — —
Data transformation — — — ✓ —
Analytics architecture — — — ✓ —
Operational reporting — — — ✓ —
AI insight layer — — — — ✓
Natural-language summaries — — — — ✓
Decision support — — — — ✓
Next step Build this quote Build this quote Build this quote Build this quote Build this quote

Important: Data sources, warehouse, cloud, software and API usage costs are separate unless stated.

Build once, operate well, grow continuously

Add recurring reporting, data maintenance, new dashboards and ongoing insight support as the business grows.

One-time Kissor Digital work

Strategy, design, development or configuration, integrations, testing, deployment and handover.

Quoted from the selected package and add-ons

Recurring support

Maintenance, hosting, monitoring, search, reporting, creative production or managed support can continue after launch.

Added only when your business needs it

External costs

Domains, cloud usage, API usage, SMS, WhatsApp, payment charges, software licences and advertising are shown separately.

Clear before the final quote is approved

Data-source checks

Confirm that source connections, imports and scheduled jobs are healthy.

Metric governance

Review definitions when the business changes how it sells, delivers or measures work.

Dashboard improvement

Refine views and filters around the decisions users actually make.

New insight layers

Add approved forecasts, segmentation and automation as data quality improves.

Support from a team that understands your work

Client Feedback

What Our Clients Say

Rated 4.9★ from 47 verified reviews across Google, Facebook, and direct client feedback.

“We needed a platform that looked and felt institutional-grade from day one. Kissor Digital delivered a design that gives serious traders confidence in our product the moment they land on the site.”

Franc O. Founder, Fintech / SaaS Trading Technology Company

“Our bookings used to live in scattered WhatsApp chats. Now clients browse our full catalogue, see real pricing, and pay a deposit online before we even speak to them. It has completely changed how we run the business.”

Yelsea A. Founder, Event Hire & Party Planning Company

“Before Kissor Digital, we had no way for new customers to find us online. Now our booking form fills up daily and the WhatsApp button alone brings in repair requests every day — even outside business hours.”

David O. Founder & CEO, Home Services Company

“I now have one professional link I can share with students, institutions, and collaborators that reflects my actual credentials and research — instead of an outdated LinkedIn profile.”

Patricia A. Counseling Psychologist & Lecturer, Academic Professional

Common questions about data & analytics

Clear answers before you choose a package or request a quote.

The published figure is a starting price. We confirm the scope, complexity, content volume, integrations, infrastructure and third-party requirements before issuing a final quote.

Yes. The catalogue is designed to combine a base service with selected add-ons and optional recurring support. Use the estimate builder or contact us for a combined scope.

No. Domains, hosting renewals, cloud usage, API usage, payment-provider charges, software licences, advertising spend and similar external costs are shown separately unless explicitly stated.

A dashboard can bring together approved data such as sales, enquiries, operations, marketing activity, customer records and performance indicators.

Yes. Multiple approved sources can be assessed and connected where the data structure, access and integration requirements support it.

Yes. The dashboard structure, metrics, filters and reporting views are shaped around the decisions your team needs to make.

The timeline depends on data quality, source systems, metric definitions, access requirements and the number of dashboards or reports required.

Business intelligence often focuses on organizing and presenting business information for decisions. Data analytics can also include examining data to identify patterns or answer specific questions. The terms can overlap.

A KPI dashboard presents selected key performance indicators in one view so users can monitor measures relevant to their business goals.

A dashboard usually provides a concise view of selected metrics, while a report may present more detail or analysis for a specific period or question. The best format depends on how the information will be used.

ETL stands for extract, transform and load. It describes a process for collecting data, preparing it for use and loading it into a destination such as a reporting system.

Multiple approved data sources can be assessed for a combined dashboard. Feasibility depends on access, data structure, quality and the connection methods available.

KPIs should relate to the business decisions and outcomes the dashboard is meant to support. Their definitions, data sources and calculation rules should be agreed before implementation.

The update frequency depends on the source systems, available connections and reporting requirements. Real-time updates should be confirmed during scoping.

The cost depends on the number of data sources, data preparation, metric definitions, dashboard views and access requirements. A final quote follows assessment and scoping.

Ready to scope data & analytics?

Start with an estimate or tell us the outcome you need. We will recommend the right package, add-ons and ongoing support.

AI-Powered · Always Online

Got a question? Ask Kissor AI

Instant answers about pricing, services & digital growth — no forms, no waiting.

✦ Try Kissor AI Free

No sign-up needed — chat instantly