Kudakwashe Verah
Business Intelligence & Strategy Consultant · Gauteng, South Africa
An Industrial Engineer’s discipline, applied to business intelligence, data and strategy.
I diagnose how work and data actually flow, then design reporting, integrations and processes that remove the cause of the problem — and measure the result.
02Measured impact
89%
Reduction in measured HR reporting-cycle time
Average of ten cycles fell from 1,069.6 to 117.4 minutes after a Power BI-assisted redesign.
See the case study120+
Retail stores covered by a cash-up reporting solution
One reconciliation view across the current month and the three preceding months.
See the case study15+
Team members trained in analytical and reporting capabilities
Trained in Power BI, Power Query, DAX and SQL, reporting processes and spotting improvement opportunities.
About training03Professional capabilities
Three primary capability areas, supported by data quality, applied AI and delivery leadership.
Find where time, money and quality are lost — and fix the process, not the symptom.
Tools and methods
Process mapping, Root-cause analysis, Requirements investigation, Industrial Engineering methods, System modelling, Business analysis
Reporting designed around the decisions it supports, reconciled to source.
Tools and methods
Power BI, DAX, Power Query, KPI design, Financial and operational reporting, Reconciliation
Pipelines and integrations that run repeatably and fail visibly.
Tools and methods
SQL, MariaDB, Azure Synapse, Data modelling, ETL, API integration, Python, Azure Functions
04Featured projects
Client and employer identities are withheld. Each case explains the problem, my contribution and what was measured.
Human-resources reporting function (organisation anonymised)
Problem. A recurring HR reporting cycle consumed most of a working day each time it ran, and much of that time went into manual collation and reconciliation.
Read the case study
89%
Average reporting-cycle time fell from 1,069.6 to 117.4 minutes across ten measured cycles each — an 89.02% reduction.
Retail and distribution (client anonymised)
Problem. Leadership could see total revenue, but not how dependent that revenue was on a small group of customers and one region.
Read the case study
95% / 5%
About 95% of revenue came from about 5% of customers in the examined dataset, and that segment was concentrated in a single region.
Multi-store retail (client anonymised)
Problem. Daily cash-up records across a large store network had to be checked, reconciled and reported consistently, with exceptions visible quickly.
Read the case study
120+ stores
One reconciliation reporting solution covering 120+ retail stores, across the current month and the three preceding months.
Corporate finance — supplier payments processed for multiple clients (client anonymised)
Problem. A corporate finance company processes payments for many clients, each with many suppliers. It needed an error-free, automated way to track which suppliers were onboarded or rejected and why, to verify banking details with separation of duties, and to check B-BBEE classifications across at least eight finance systems.
Read the case study
8+ systems
One consolidated report across 8+ finance systems that flags missing or incorrect supplier information per system and client, enforces independent banking verification, and cut measured query time by about 77%.
Finance shared services (organisation anonymised)
Problem. A finance helpdesk needed an AI agent that could pick out supplier statement tickets from among all the other tickets by reading their contents accurately, give each one the correct classification, and assign it to the agent who would work on it — without making errors.
Read the case study
Deployed
Deployed an AI agent that identifies, classifies and assigns targeted ticket types, records an internal audit note on every assignment, and is verified by 88 offline unit tests in 15 test classes.
Beverage manufacturing — PET preform production (organisation anonymised)
Problem. PET preform material was being lost in production, but the scale and causes of the loss were not clearly understood.
Read the case study
~US$10k identified
Identified approximately US$10,000 in PET preform material losses and traced them to their root causes.
05My approach
The same five stages run through every engagement, whether the output is a report, an integration or a redesigned process.
Learn how the business works, which outcome matters and who owns the decision.
Map the process and data, measure a baseline, and find the root cause — not the loudest symptom.
Design the process, model or system that removes the cause, with the people who will use it.
Build, test and validate against source, then document and hand over.
Measure the result against the baseline and keep improving what the numbers show.
06Consulting services
Fixed-scope projects, diagnostic engagements, ongoing support and training workshops.
07About
I am currently completing a Master of Science in Business Analytics and Applied AI at Quantic School of Business and Technology (expected 2027), building on my training as an Industrial Engineer. I still approach every problem as a system: inputs, flows, constraints and measurable outputs.
Since January 2024 I have worked as a Business Process Consultant in a finance-services setting, supporting reporting for about 9 clients, 28 systems and 80+ production reports, and I have also consulted independently for a telecommunications/ICT client. I have trained 15+ team members, and I enjoy helping analysts become more confident with data and process thinking.
08Insights & research
Applied AI & Emerging Technology
Telecoms and ICT businesses hold more data than almost any other sector, yet most AI projects stall on its quality. A practical checklist for knowing whether your data is ready before you invest in the model.
Business Intelligence & Analytics
A better-looking dashboard is not the same as a better decision. Why reporting improvements often stall, and what to design for instead.
Data Engineering & Integration
Unreconciled data rarely causes a single dramatic failure. Its cost is spread across rework, delay and lost trust — which is why it is so often ignored.
09 Contact
Consulting, employment, collaboration or training — tell me what you are working on.