Across the Democratic Republic of the Congo
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Studies, Surveys and Data Collection with KoboCollect, Excel and Odoo
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Studies, Surveys and Data Collection with KoboCollect, Excel and Odoo

Cabinet Nova Conseil supports organizations throughout the Democratic Republic of the Congo in designing, collecting, checking and using data for better decisions. The service is intended for SMEs/SMIs, mining, commercial, industrial and service companies, institutions, NGOs, entrepreneurs, professionals, students and researchers. Depending on the assignment, we combine KoboCollect for mobile data collection, Excel for accessible cleaning and analysis, and Odoo to structure selected management and monitoring processes. Our approach is practical, field-aware and careful: deliverables, timelines, geographic coverage, samples and expected level of precision are agreed with the client, with no guarantee of outcomes.

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05
LOCAL CONTEXT

An engagement designed for DRC realities.

The DRC combines a very large territory, uneven access and connectivity, formal and informal activities, important mining value chains, and a broad mix of services, trade, agriculture and industry. The World Bank highlights the weight of mining, the expected role of services and construction, the importance of infrastructure, and risks linked to insecurity and commodity-price volatility. These conditions support documented fieldwork, cautious disaggregation and explicit reporting of field limitations. The National Institute of Statistics of the DRC is a national reference for statistical operations and the general business census; private studies should therefore state their methodology clearly and should not be presented as official statistics. Exchange-rate, inflation, transport, network, security and language constraints may affect timing and data quality; they should be addressed in the scope without inventing figures.

01

An end-to-end service, from question to decision

We begin by clarifying the decision the client needs to inform: understanding a market, measuring satisfaction, documenting needs, establishing a baseline, monitoring a project, mapping economic units or supporting academic research. Nova Conseil helps define objectives, indicators, target populations and the data-collection plan. Questionnaires may combine closed questions, skip logic, consistency checks and qualitative fields. Depending on the assignment, the study may cover formal or transitioning-to-formality activities, extractive or non-extractive value chains, infrastructure, services, communities, beneficiaries or internal teams.

02

Field data collection suited to DRC conditions with KoboCollect

KoboCollect supports mobile forms on phones or tablets, including field validation, skip logic and synchronization when connectivity permits. We can prepare the form, variable dictionary, interviewer instructions, training and supervision arrangements. The protocol should account for travel distances, infrastructure conditions, network availability, working languages, seasonality, site access and, in some areas, security constraints. Where appropriate, we recommend a pilot, phased collection and explicit documentation of non-response, substitutions and coverage limitations.

03

Data checking, cleaning and analysis with Excel

Exported data are checked and documented before interpretation: duplicates, missing values, inconsistencies, outliers, coding, dates, units and geolocation where included in the protocol. Excel can be used to produce a clean dataset, pivot tables, indicators by area or profile, charts and a practical dashboard. We clearly distinguish observed facts, estimates, reported perceptions and interpretations. Findings are not extrapolated beyond the method, sample and quality actually achieved.

04

Odoo to connect data with operational management

Where relevant, Odoo can help organize a contact register, activity tracking, requests, corrective actions, or collection and follow-up campaigns. Nova Conseil can support the definition of fields, roles, workflows, quality rules and monitoring views while taking existing processes into account rather than imposing a tool. The aim is to make information more traceable and usable by teams. A study or configuration does not replace internal governance, business validation or management decisions.

05

Sectors and use cases in the DRC

The service can support a customer survey for an SME, a formalization and needs assessment for businesses, a supplier or community study around a mining project, an infrastructure assessment, a service-satisfaction survey, NGO monitoring and evaluation, or academic research. In extractive sectors, analysis may distinguish production, subcontracting, local employment, stakeholder relations and access constraints, without drawing unsupported conclusions. In non-extractive sectors, it may cover trade, agriculture, industry, transport, digital services, health, education or professional services. Exchange-rate movements, inflation, supply disruptions and travel costs can be documented as contextual factors when included in the assignment.

06

Method, limitations and professional standards

Each assignment is documented with an agreed scope covering responsibilities, timeline, method, field access, validation arrangements and deliverable formats. We can include questionnaire testing, supervision, consistency checks, a correction audit trail and a findings workshop. Results depend on response quality, access to people and sites, selected coverage, resources and field conditions. We do not promise higher revenue, financing, compliance by default or favorable decisions. This service is not personalized legal, tax or financial advice.

NOVA / OUTPUT

Possible deliverables

The final scope is defined after scoping and review of available information.

Scoping note covering objectives, research questions, scope, timeline and responsibilities.

Configured KoboCollect questionnaire, variable dictionary and fieldwork guide.

Documented sampling or coverage plan, with explicit assumptions and limitations.

Interviewer briefing or training and supervision sheet, where included in the assignment.

Exported dataset, cleaned Excel dataset and control/correction log.

Tables, charts, disaggregated indicators and a fit-for-purpose dashboard.

Analytical report covering methodology, findings, limitations, observations and non-prescriptive action options.

Odoo configuration or design note for the agreed tracking process, where relevant.

Findings presentation and handover package containing validated files.

A question, a project, a decision to structure?

Let us build a clear, useful and realistic engagement.

An initial conversation clarifies the need, available data, users and timeline.

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