About

Who we are

Digital Space Consultants offer consultancy services in the following niche areas of the Information Communication Technology ecosystem:

  • Data Analytics
  • Software Development
  • IT systems Audit

Most organizations need information systems to survive and prosper. Information systems can help companies extend their reach to faraway locations, offer new products and services, reshape jobs and work flows, and perhaps change the way they conduct business. Emergence of the global economy, transformation of industrial economies and societies into knowledge-based and information-based service economies are changes that are posing a number of new challenges to organizations. Digital Space consultants will assist your organization to adapt to these changes so as to survive and prosper.

Learn More

Services

What we do offer

Data Analytics

Organizations generate a lot of data on daily basis. Every interaction a client makes with an organization generates a form of a data item that is mostly automatically recorded by automated systems owned by the organization. This data keeps on increasing with no possibillity of ever stopping. Therefore there is a growing gap between the generation of the data and the capabability of the organization to understand it.However lying hidden in all this data is potentially useful information that is rarely made explicit or taken advantage of by the organization. Digital Space Consultants will help your organization to find useful patterns and information from its Big Data using Machine Learning Techniques. Benefits of such data analysis would include: gaining customer insights, increasing security, informing internal finances, streamlining manufacturing, and predicting future market trends.

Software Development

The need for organizations to transform their manual work processes into automated computerised processes cannot be underestimated. Our experienced team of software developers will enable your organization to successfully realize its automation dreams.

IT System Audit

Organizations have increasingly invested in computerized systems. Consequently, they heavily depend on these systems for their core activities. Such systems hold critical data and information of the organizations. No organization is ready to endure consequences of failure or malfunction of such systems due to issues like risks to data integrity, abuse, and privacy issues. Therefore, organizations need an independent audit of its ICT systems to provide an unbiased assurance that adequate measures have been designed and are operated to minimize the exposure of the ICT infrastructure and assets to various risks. Digital Space Consultants will collect and evaluate evidence from your ICT system to determine whether the system: has been safeguarded against risks; maintains data integrity; supports organizational goals; and uses resources efficiently.

Portfolio

What we've done (to be updated soon.......)

  • All
  • App
  • Card
  • Web

App 1

App

Web 3

Web

App 2

App

Card 2

Card

Web 2

Web

App 3

App

Card 1

Card

Card 3

Card

Web 3

Web

Testimonials

What they are saying about us

This section will be updated soon......

Person 1

Ceo & Founder

This section will be updated soon......

Person 2

Designer

This section will be updated soon......

Person 3

Store Owner

This section will be updated soon......

Person 4

Freelancer

This section will be updated soon......

Person 5

Entrepreneur

RESEARCH

Publications

    1. Kennedy Malanga Ndenga. (2023). A Deep Decision Forests Model for Hate Speech Detection, Jordanian Journal of Computers and Information Technology (JJCIT), pp. 53 – 62. DOI: 10.5455/jjcit.71-1667394363.
    2. Rabah Mazouzi, Malanga Kennedy, Cyril De Runz, Herman Akdag. (2022). Consensual Based Classification As Emergent Decisions In A Complex System, Jordanian Journal of Computers and Information Technology (JJCIT), pp. 112 – 126. DOIi: 10.5455/jjcit.71-1638972901.
    3. Ndenga M.K, Shikali, C. (2021). Analysis of Developer's Network and Change Burst Metrics as Predictors of Software Faults. Journal of Applied Sciences, Engineering and Technology for Development Vol. 5. DOI: 10.33803/JASETD.2021.1-1.1
    4. Ndenga, M. K., Ganchev, I., Mehat, J., Wabwoba, F., & Akdag, H. (2018). Performance and cost-effectiveness of change burst metrics in predicting software faults. Knowledge and Information Systems, 1-28. https://doi.org/10.1007/s10115-018-1241-7.
    5. Karari Kinyanjui, E., Ndenga, M., & Nyongesa, H. O. (2021). Hybridization of DBN with SVM and its Impact on Performance in Multi-Document Summarization. Machine Learning and Applications: An International Journal (MLAIJ) Vol.8, No.2/3, DOI:10.5121/mlaij.2021.8304.
    6. Malanga K. N., Mehat J., Ganchev I. & Wabwoba F. (2016). Predicting Faults in Open Source Software: Trends and Challenges. In Crowston, K., Hammouda, I., Lindman, J., Lundell, B., and Robles, G. (Eds.) Proceedings of the Doctoral Consortium at the 12th International Conference on Open Source Systems, Skövde University Studies in Informatics 2016:1, pp.55 – 73 ISSN 1653-2325, ISBN: 978-91-978513-9-8, University of Skövde, Skövde, Sweden.
    7. Ndenga, M. K., Jean, M., Ganchev, I., & Franklin, W. (2015). Assessing quality of open source software based on community metrics. International Journal of Software Engineering and Its Applications, 9 (12), 337–348.
    8. Malanga, K. N., Mehat, J., Ganchev, I., Wandeto, J., & Shivachi, C. (2015, February). Evaluation of Open Source Software with QualiPSO OMM: a case for Bungeni and AT4AM for All. In Free and Open Source Software Conference FOSSC–15 (pp. 41–46).

Pricing

Our Competing Prices

Big Data Analytics

$20 / hour

  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics

IT Systems Audit

$30 / hour

  • Security Audit
  • Performance Audit
  • Compliance Audit
  • Routine Audit
Next Product

Product

$Negotoable / Next product

  • product X

F.A.Q

Frequently Asked Questions

  • Big Data is any data that doesn’t fit well into tables and that generally responds poorly to manipulation by Structured Query Language (SQL). Data from social media, web logs, images, are examples of big data, but census data is not big data. Big Data has many data types and increases in volume at a very fast rate.

  • Analyzing big data can benefit an organization in many ways including: Improving marketing strategies, identifying pain points, detecting fraud, identifying data breaches, improving customer experience, making decisions, assisting in hiring process.

Team

Our Hardworking Team

Malanga Kennedy Ndenga

Chief Executive Officer

Manager's Name

Product Manager

CTO's Name

CTO

Accountant's Name

Accountant

Contact

Contact Us

Location:

Nyeri, Nyeri town, Kenya.

Call:

+254791205435, +254735742905

Loading
Your message has been sent. Thank you!