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Forecasting and Dashboards — Cabinet Nova Conseil
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Forecasting and Dashboards — Cabinet Nova Conseil

In a Congolese environment where activity may depend on mining cycles, infrastructure, foreign-currency availability, logistics costs and price movements, Cabinet Nova Conseil helps organizations turn available data into clear, actionable management tools. The “Forecasting and Dashboards” offer serves SMEs/SMIs, mining, trading, industrial and service companies, institutions, NGOs, entrepreneurs, professionals, students and researchers throughout the Democratic Republic of the Congo. It is designed to improve decision preparation, without guaranteeing outcomes and without replacing personalized legal, tax or financial advice.

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05
LOCAL CONTEXT

An engagement designed for DRC realities.

The context was checked against institutional sources. The World Bank describes a Congolese economy in which the extractive sector remains important, while services, construction, infrastructure and non-mining diversification also matter; it also highlights risks linked to fragility, shocks and commodity prices. ANAPI describes its role in supporting investors and simplifying procedures, making a formalization and information-structuring component relevant. OHADA lists the Uniform Act relating to accounting law and financial information (AUDCIF), which can serve as an institutional reference to be validated in the appropriate setting. The Central Bank of Congo publishes exchange rates, inflation indicators and interest rates; these can feed a dashboard but should be dated, sourced and distinguished from internal assumptions. These references contextualize the offer and do not constitute personalized legal, tax or financial advice.

01

An offer designed to support data-informed decisions

Nova Conseil begins by clarifying the decisions to be supported: tracking sales, planning purchases, monitoring costs, anticipating operating cash needs, measuring project delivery, or reporting to management, donors or a board. The work can start from spreadsheets, registers, accounting software, an ERP, production files, surveys or institutional data. Sources, definitions, periods, assumptions and limitations are documented so that observed facts, estimates and scenarios remain distinct. The aim is not to build a sophisticated model for its own sake, but a tool teams can understand, update and use.

02

Forecasts suited to extractive and non-extractive sectors

For mining activities or suppliers, the analysis may connect volumes, communicated production information, reference prices, input costs, transport, energy, maintenance, procurement lead times and foreign-exchange exposure, subject to the data actually available. For trading, industrial and service organizations, it may cover sales by product or site, contribution margins, inventory, receivables, capacity, contracts, recurring expenses and operating cash requirements. For institutions or NGOs, it may track program budgets, disbursements, activities, beneficiaries, outcome indicators and deviations from plan. Forecasts are presented as scenarios—such as central, prudent and dynamic—not as certainties.

03

Dashboards for day-to-day management and governance

A useful dashboard combines a limited number of clearly defined indicators, a realistic update frequency, an owner for each data item and alert thresholds agreed with the client. Views may be organized by department, branch, province, project, site, product or cost center. They can show actual-versus-budget gaps, trends, activity contributions, delays and actions to be taken. Reporting favors visuals that are readable on desktop or mobile, supported by an indicator dictionary and a short interpretation note. Confidentiality, data quality and access rights are handled within the agreed scope.

04

A pragmatic approach to the Congolese context

Where relevant, the method can incorporate the coexistence of Congolese francs and reference currencies, the selected exchange-rate conventions, cost sensitivity to inflation, supply disruptions, transport and energy constraints, and differences between Kinshasa, mining provinces and other business areas. It can also reflect the organization’s level of formalization through a progressively structured chart of accounts, collection calendar, available supporting documents, reconciliations and simple controls. These are management parameters to document, not universal assumptions. External rates and indices should be refreshed from competent sources and validated by the client before use.

05

A collaborative, cautious and verifiable process

The engagement may follow five steps: scope the decisions and users; inventory and check the data; build indicators and assumptions; prototype and test the dashboard with users; then transfer, document and periodically review it. Each forecast should state its production date, horizon, assumptions, sensitivity and revision conditions. Nova Conseil does not guarantee revenue, financing, profitability or regulatory compliance. Deliverables are decision-support tools; the client organization remains responsible for decisions and validation. Personalized legal, tax or financial matters should be referred to the relevant qualified professionals.

NOVA / OUTPUT

Possible deliverables

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

Scoping note covering objectives, users, boundaries, timetable and responsibilities.

Source map, data-quality checks and a register of assumptions, limitations and definitions.

Forecasting model with documented scenarios, horizon, adjustable parameters and sensitivity analysis.

Management dashboard on the agreed platform, with activity, site, project or period views where the data allows.

Indicator dictionary, calculation rules, update calendar and user guide.

Summary report highlighting trends, deviations, points requiring attention and decisions to be discussed.

Team presentation and handover, including data-governance recommendations.

Optional periodic review and refresh of assumptions, subject to the agreed scope.

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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