BC.Belyakov ConsultBI • Data Architecture • Data Governance
UAENPT
Public sector · International programmes · GovTech

Better data creates
better decisions.

Belyakov Consult · Sergiy Belyakov. I work with data where a number has to lead to a decision. I help public institutions and international programmes untangle indicators, architecture, data quality and analytics.

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What holds back informed decisions

01

Conflicting figures

Institutions, regional teams and partners report different figures. Leaders need shared definitions and a consistent basis for decisions.

02

Unclear indicators

Activities are counted, but changes for people remain unclear. Indicators need to reflect what the programme is meant to achieve.

03

Fragmented registers

Records sit in separate systems and spreadsheets. Teams struggle to build a complete picture of services and the people they reach.

04

Unreliable data

Duplicates and missing records distort coverage and needs assessments. Quality checks need to catch problems before reporting.

05

Unclear ownership

Nobody knows who approves an indicator or resolves a data issue. Clear rules, accountable owners and working procedures are needed.

06

Manual reporting

Teams spend each month consolidating files. Little time remains to explain deviations or prepare recommendations for management.

07

Results without evidence

Partners and funders need to verify reported results. Every indicator needs a documented source and calculation method.

08

Competing priorities

Where should services expand and resources go? Decisions need comparable evidence on needs, access and results across locations.

Our services

Ways to work together

I can step into one specific problem or work with the team across the full chain. From the management question to the data, model, report and rules that make the result defensible.

Data Strategy
Advisory

Data Strategy

I start with the decision the team needs to make. From there we work backwards into data, systems, ownership and the changes that are actually worth funding.

A strategy session, an independent review or hands on advisory support. The output is a practical set of priorities and a roadmap people can use.

Open service
Data Analysis
Data Analysis

Data Analysis

I turn raw data into an answer to a specific question. I prepare the dataset, check quality, look for patterns and anomalies, compare groups and periods, then translate the findings into a decision.

A focused analysis, a research task or ongoing analytical support. The processing logic and conclusions stay transparent and reproducible.

Open service
Business Intelligence (BI)
Business Intelligence

Business Intelligence (BI)

I build BI from indicator logic through to the dashboard. We agree what a number means and how it is calculated before deciding how it should look on screen.

A single report, a management dashboard set or a rebuild of an existing BI environment. The calculation logic stays traceable and repeatable.

Open service
Financial Analytics
Financial Analytics

Financial Analytics

I bring financial data into one model for controlling financial flows, donor funding, accounts receivable, plan versus actual and key obligations. The point is not another report, but visibility of sources, movements, deviations and risks.

Financial model, Power Query, Power BI or recurring reporting focused on cash control, obligations, deadlines and deviations.

Open service
Management Analytics
Management Analytics

Management Analytics

I build analytics for internal enterprise processes. Plans and tasks, procurement, deadlines, team workload, operating cycles, KPI and deviations are brought into one manageable view.

Management model, dashboard or recurring review. Leadership can see where a process slows down, what is off plan and where a decision is required.

Open service
Data Architecture
Data Architecture

Data Architecture

Architecture is not a diagram for its own sake. It should explain how data moves from a source system into an indicator, a report, an exchange or an API.

An architecture review, a target design or support through the transition. Technology choices follow the operating problem, not fashion.

Open service
Data Quality
Data Quality

Data Quality

Data quality is not one abstract percentage. The useful question is which errors can change a payment, coverage estimate, report or management conclusion.

A one off diagnostic or a recurring control process. Checks are tied to business rules and operational risk, not to a cosmetic quality score.

Open service
Data Governance
Data Governance

Data Governance

Good governance answers very ordinary questions. Who sets the rule. Who fixes an error. Which source is authoritative. Who approves a change.

An operating model, roles and rules without turning governance into paperwork. Start with critical data and real conflicts, not a hundred page policy.

Open service
Geospatial Analysis
Geospatial Analysis

Geospatial Analysis

Geospatial analysis shows where a service exists on paper but is difficult to reach in practice. Distance, travel time, demand, capacity and service areas tell a different story from a regional average.

A focused study, maps or a geospatial dashboard. The result should help decide where a network or resource priority needs to change.

Open service
The full data cycle: 13 stages I work acrossAll demos in the Data Lab →
  1. 01Strategy
  2. 02Sources
  3. 03Integration
  4. 04Quality
  5. 05Model
  6. 06Rules
  7. 07Analysis
  8. 08BI
  9. 09Finance
  10. 10Management
  11. 11Geo
  12. 12Users
  13. 13Outcome
What I offer

What I can do for you

Choose who you are. For each: what I offer, typical tasks and Data Lab examples you can open right now.

Communities

Analytics for a community’s territory and services

I show on a map and a 3D model where people live, how they reach services and what changes if a school closes, a clinic opens or the river rises. Decisions rest on calculation, not on gut feeling.

Typical tasks

  • Access to service centres, clinics, schools and transport routes
  • Flood zones, cut-off villages, siren and telecom coverage
  • Where to build new shelters, clinics or other facilities
  • Climate, soils and erosion for land planning
Services:Geospatial AnalysisData Analysis
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Public sector

Registers, data quality and measures people trust

I help institutions bring registers, payments and services into one consistent picture: shared definitions, quality checks before the report, an owner for every measure. You see who needs help first and where money goes the wrong way.

Typical tasks

  • Different numbers for management: shared definitions and one picture
  • Duplicates, gaps and errors in registers
  • A need index and fraud risks in payments
  • Data rules and owners
Services:Data QualityData GovernanceData Architecture
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Business

Money, people and processes on one dashboard

Financial and management analytics for leaders: plan and actual, cash and receivables, team workload, KPIs and signals that need a decision. First we agree what we measure and why, then we build the reports.

Typical tasks

  • Plan vs actual, EBITDA bridge, cash flow and receivables
  • People, workload, turnover and results
  • BI dashboards with transparent measure logic
Services:Financial AnalyticsManagement AnalyticsBusiness Intelligence
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Learning and the Lab

Open demos, articles and team training

The Data Lab demos are open: you can explore them, check the method and download the data. I use them to train teams: how to calculate measures, check data quality and read reports.

Typical tasks

  • Hands-on sessions for teams based on the Lab examples
  • The full data cycle: 13 stages from strategy to results
  • Articles on common data problems
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Programmes and donors

Outcome indicators backed by evidence

For international programmes and their partners: indicators that match programme goals, a source and a method for every number, monitoring and a report that stands up to donor review.

Typical tasks

  • Indicators of change for people, not counts of activities
  • A method, sources and quality checks for every indicator
  • A monitoring dashboard and a PDF report for partners
Services:Data StrategyData QualityBusiness Intelligence
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About

Data should end in a decision, not another report

In the public sector I lead analytics work across BI, data architecture, data quality and governance. I also work with international programmes in social policy and rehabilitation. The problems I find most useful are the messy ones. Data sits across systems, definitions conflict and the decision still has to be made.

More about my workLinkedIn