Global
  • Kenya
  • Uganda
  • Tanzania
  • Rwanda
Big Data by Kenoobi Data.

As data volumes continue to grow and new, more detailed data sources have emerged, organizations are now able to address business opportunities that they could not previously address. New platforms (infrastructure) and tools (analytics) are emerging which are leading to the creation of new families of business applications. At Kenoobi Data, we deliver statistical analysis and storage tools that helps organizations understand and use insights gained from large information sets in order to gain a competitive advantage.

1
Asking Questions

Formulating hypothesis which unearth unknown solutions that in turn drive business value.

2
Defining the data

Working with an existing data set and employing toolsto collect, store and explore huge Data volumes above 1 TB.

3
Identifying the type of analysis

Performing analysis by implementing various algorithms/tools in a distributed and parallel architecture.

4
Communicating the insights

Simple visualizations/dashboards analytics that a non-data scientist can understand and build conversations.

5
Building a higher abstraction

An autonomous way of predicting and taking actions on new data as they are fed to the systems.

Big Data Starter
FROM ksh.350k

Identification of quick wins to deliver business sponsors with near-term value propositions.

  • Big Data Strategy
  • Big Data Readiness Assessment
  • Key Recommendations
  • Roadmap
  • Data Identification
  • System Design
  • Application Design and Development
Get Started now
Proof Of Concept
FROM ksh.900k

A value-driven transition to the world of big data, helping your executive team see the benefits that a prototype can bring.

  • Big Data Strategy
  • Big Data Readiness Assessment
  • Key Recommendations
  • Roadmap
  • Data Identification
  • System Design
  • Application Design and Development
Get Started now
Have a question in mind?
Feel free to check common questions.
Big Data Strategy

Consisting of an evaluation of business concerns, systems review, analytical problem formulation, and use-case prioritization.

Big Data Readiness Assessment

Gap analysis and a detailed systems review across five dimensions: reporting and analytics; data; applications; infrastructure; skills and resources.

Key Recommendations

Relating to infrastructure and architecture; data governance; and skills transformation.


Roadmap

Articulation of a 12-month roadmap, along with an executive presentation

Data Identification

Selection of new and/or existing data sets and signals

System Design

Design and implementation of a production big data system

Application Design and Development

Development of an analytic application using your data and potential external data

Are you managing data efficiently? Get started to find out...