REQUEST FOR PROPOSALS FOR IMPLEMENTATION OF A DATA SCIENCE & ANALYTICS PROJECT FOR THE UGANDA COMMUNICATIONS COMMISSION (UCC)

CALL FOR BUSINESS PLAN PROPOSALS FOR THE UCC/UCUSAF GRANT FOR ESTABLISHING AND SUPPORTING ICT CLUBS IN SECONDARY SCHOOLS
March 29, 2022
UNAUTHORISED USE OF MOBILE NETWORK REPEATERS OR SIGNAL BOOSTERS
May 17, 2022
  1. INTRODUCTION

The Uganda Communications Commission (UCC) was established by the Uganda Communications Act of 2013 as an independent Communications sector regulator for telecommunications, broadcasting, radio communication, postal communications, data communication and infrastructure. Among others, the Commission is mandated to monitor, inspect, license, control, and regulate communications services in Uganda.

In pursuit of this legal mandate, and in line with its vision of “An Inclusive Digital Economy”, the Commission is desirous of studying and analysing available meaningful and relevant data, and developing reliable data models for prediction, visibility, informing business decisions and regulatory interventions and (or) initiatives.

To promote specialised education in the field of communication, the Commission is looking to collaborate with Academia to conduct in-depth data science and analysis on several data sets available to the Commission, as provided for under section 7.2 of the Research Support and Collaboration Framework.

 

  1. OBJECTIVES

The objective of this project is to construct the means for extracting organisation-focused insights from data sets available within the Commission. This will involve clearly understanding how value and information flows in the Commission, and the ability to use that understanding to identify key industry, regulatory and organisational trends, and insights.

Generally, this project seeks to identify key data assets that can be turned into data pipelines that feed maintainable tools, models, and solutions for identifying key organisational, business and (or) regulatory trends and insights.

More specifically, the project seeks to:

  • Understand the different data sets available to the Commission through its internal processes and external collaborations.
  • Categorize and prioritize the available data sets and assess the analytical information that can be derived from them.
  • Develop templates or formats for routine – automated collection of these data sets.
  • Identify and implement methodologies for collection, analysis and reporting on the different data sets available to the Commission.
  • Carry out the necessary data inspection, integration, transformation, reduction, and cleaning of the available data sets to the necessary data formats.
  • Study and analyze the available data sets and develop meaningful and empirically supported forecasts, reports, insights, trends, and recommendations for the Commission.
  • Develop consistent data models and tools for continuous analysis of the available data sets and development of the required reports, trends, and insights.

 

  1. SCOPE OF WORK AND ACTIVITIES

The team shall study, inspect, integrate, transform, clean, analyse and model the available Commission data sets, and develop the required frameworks, models, reports, and recommendations relevant to the individual data sets. The data sets available to the Commission include but are not limited to:

  1. Operator (telecom, postal & broadcasting) industry and coverage reports – as routinely submitted to the Commission.
  2. Consumer service and device usage data
  3. Licensing and regulatory compliance data
  4. Internal resource (Human, Hardware, Software) and utilities usage data
  5. Information Technology and cyber intelligence data
  6. Consumer complaints/redress data
  7. Spectrum authorisation and compliance data
  8. The Commission’s financial data (budgets, income, and expenditure)
  9. Research and development data

To achieve this, the team shall employ the different data science techniques relevant to the available data sets and develop tools/frameworks and models that exploit the different levels of data analytics, including descriptive, diagnostic, predictive, prescriptive, and cognitive data analytics.

Accordingly, the specialist(s)/consultant(s) shall:

  1. Engage and work with the different departmental representatives to identify the data sets available to the Commission through its internal processes and external collaborations.
  2. Categorize the available data sets and assess the analytical information that can be derived from these data sets.
  3. Analyze the available data sets and recommend relevant data science methodologies that can be used.
  4. Develop or provide tools to be used.
  5. Develop data collection templates or formats and recommend methodologies for collection of these data sets.
  6. Carry out the necessary data inspection, integration, transformation, reduction, and cleaning of the available data sets to the required format.
  7. Study and analyze the available data sets and develop meaningful reports, insights, trends, and recommendations for the Commission.
  8. Provide empirically supported forecasts and insights of the expected trends on key indicators of the different data sets.
  9. Develop consistent data models and tools for continuous analysis of the available data sets and development of the required reports, trends, and insights.
  10. Conduct a one-day workshop for the review and validation of the outputs of the assignment.
  11. Produce reports, including cleaned data sets in both soft and hard formats to the Commission.
  12. Disseminate the outcomes of the project to senior management team and key stakeholders as shall be identified by the Commission.
  13. Sign a Non-Disclosure Agreement with the Commission for the data sets and tools to be used in the analysis.

 

  1. DELIVERABLES

The team (academia) shall submit the following deliverables to UCC for approval:

  1. An inception report with a proposed work plan, list/catalogue of data sets to be considered, methodologies to be applied, tools to be used and clear timelines for each activity.
  2. A report on the results and findings of the analysis, including relevant recommendations.
  3. A report on the workshop organized to present and validate findings of the analysis.
  4. An overall composite report on the analysis with clear insights and trends as required, in both soft and hard copy.
  5. Dissemination of analysis outcomes to key stakeholders.
  6. Cleaned data sets in both soft and hardcopy.

 

  1. ELIGIBILITY & QUALIFICATIONS

The following qualifications shall be required:

  1. Demonstrate relevant experience working in such areas of data science, analytics, and modelling.
  2. Being knowledgeable in communications infrastructure and services.
  3. The team should comprise of at least two key technical members, each with at least five years of demonstrated experience in the fields of telecommunications engineering and data science.
  4. The team should comprise of members from academia, with affiliation to a recognized tertiary institution in Uganda.
  5. The team leader should have a minimum of 3 years’ experience in data science.
  6. The team should include an academic with experience in ICT services (i.e., telecommunications, broadcasting, and postal).
  7. Demonstrate ability to engage with the relevant stakeholders.
  8. Demonstration of experience in implementation of similar projects.

 

  1. EVALUATION CRITERIA

In evaluating the relative merits of applicants’ proposals, the evaluation panel will consider:

  1. Experience of the team members and (or) the firm.
  2. Affiliation of the team members to a recognized tertiary institution in Uganda.
  3. Profile of the team leader and innovative approaches to addressing the terms of reference.
  4. Demonstrated experience and sample projects carried out by the applicant(s) related to Information and Communication Technology and (or) private and public sector businesses.
  5. Professional qualifications and relevant experience of the applicant(s) in data science and ICTs.
  6. Understanding of the terms of reference, the suitability of the proposed approach and methodology to be applied by the applicant(s).
  7. Overall quality of the proposal, including the proposed approach in handling each objective and attainment of the deliverables.

 

  1. TIMELINE AND PAYMENT SCHEDULE

The following timelines shall apply:

No. ITEM DUE DATE PAYMENT
1. Inception report Within 10 working days of signing the contract  

 

40%

2. Sign off by UCC of the instruments and methodology to be utilized in the analysis and the sample design 14 days after approval of inception report
3. Draft report of analysis findings 60 days after signing off the survey instruments 30%
4. Report of the workshop 5 days after the workshop  

30%

5. Final composite report approved by UCC 4 months from signing of the contract

 

  1. REPORTING

The team (academia) shall report to the UCC designated project management team, which shall be responsible for monitoring the progress, and making quality assurance of the deliverables, including the tools.

 

  1. COPYRIGHT AND DISCLOSURE

All data collected, tools and other deliverables of the study shall remain the property of the Uganda Communications Commission during and after the contract implementation period and shall, therefore, not be reproduced without the express permission of the Commission.

 

  1. APPLICATION TIMELINE

Applications should be submitted before 10:00 am on 29th April 2022, in duplicate hard copies (2 copies), and to be addressed to:

The Executive Director

Uganda Communications Commission

Plot 42-44, Spring Road Bugolobi

P.O. Box 7376, Kampala

 

A soft copy of the proposal should also be sent to the following email addresses by the deadline: registry@ucc.co.ug and research@ucc.co.ug

A pre-application meeting will be held on-line on 12th April 2022 at 10.00am. The meeting shall be accessed through this link https://bit.ly/3nSpxfp

For further clarification or guidance on the grant application process, please contact telephone +256-41-2339000/+256-41-2339000 or email registry@ucc.co.ug and research@ucc.co.ug