DIMECULTIVA (Pty) Ltd — Data & Analytics Consulting

// About DIMECULTIVA

Data strategy that starts with your business, not the technology.

Too many organisations invest in tools and dashboards without first asking: what decision are we trying to make? At DIMECULTIVA, we anchor every engagement to a specific business outcome — from understanding your data maturity to delivering actionable intelligence your teams can trust.

Keorapetse Tlhapane

Founder & Principal Consultant

CRISP-DM Power BI Tableau Python MySQL

Senior data practitioner with deep expertise across the full data value chain — from governance and architecture to analytics and automation. Every engagement is led directly — no hand-offs, no juniors.

Business Alignment

Every data initiative must be tied to a specific, measurable business outcome. We never build for its own sake.

Governance & Trust

A single source of truth is not a luxury — it is the foundation of everything that follows. We build it first.

Architecture & Technology

Cloud, on-prem, or hybrid — we assess your infrastructure and design solutions that scale with your ambitions.

Data Culture

The best data strategy fails without an organisation that trusts and uses data. We help build that culture.

Clear Execution Roadmap

Strategy without a plan is just a wish. We deliver concrete, phased roadmaps your team can execute.

// What We Do

Seven practice areas.
One integrated approach.

Whether you need a strategic data roadmap, a production-ready dashboard, or a governance framework that scales — we deliver end-to-end, hands-on consulting across your entire data ecosystem.

Data Strategy & Roadmap Consulting

We translate your business goals into a structured, time-bound data strategy — identifying quick wins, long-term investments, and capability gaps.

CRISP-DMMaturity AssessmentWorkshops

Dashboard & Reporting (Power BI / Tableau)

From executive KPI scorecards to operational drill-down reports — we design and build dashboards that decision-makers actually use.

Power BITableauDAXData Modelling

Data Cleaning & Quality Audits

We believe data quality is the cornerstone of AI and analytics. Our audits identify and remediate issues across completeness, accuracy, consistency, and timeliness.

PythonPandasQuality Scorecards

Database Design & Management (MySQL)

Robust, normalised database architectures that store, secure, and surface your data efficiently — designed for performance and long-term maintainability.

MySQLSchema DesignOptimisation

Python Automation & Analytics

Automate repetitive data workflows, build custom analytics pipelines, and unlock deeper insights through Python-powered data science solutions.

PythonPandasNumPyAutomation

Data Governance Framework Setup

From data ownership and stewardship models to policy documentation and access controls — we establish governance structures that enable trusted data at scale.

DAMA FrameworkPoliciesData Cataloguing

Excel Modelling & Analysis

Sophisticated financial models, scenario analyses, and reporting templates that leverage Excel's full analytical power — built for accuracy and auditability.

ExcelPower QueryFinancial Modelling

// Our Approach

CRISP-DM at the core. Business first, always.

We apply the industry-standard CRISP-DM methodology, reinforced by structured project frameworks, a Waterfall approach where scope is fixed, and a deep commitment to understanding the actual business problem before a single line of code is written.

Discuss Your Project

Business Understanding

Define the real problem

We invest heavily upfront — stakeholder interviews, process mapping, KPI identification. Understanding the business issue is your most valuable asset.

Data Understanding

Audit what exists

Data profiling, quality assessment, source mapping. We document what you have, what's missing, and what needs fixing before analysis begins.

Data Preparation

Build a reliable foundation

Cleaning, transformation, integration, and enrichment. The unglamorous work that makes everything downstream trustworthy.

Modelling & Analysis

Extract the insight

Whether descriptive, diagnostic, predictive, or prescriptive — we apply the analytical technique that best serves the business question.

Evaluation & Deployment

Deliver and embed

Results are validated against business objectives, packaged for consumption, and embedded into your operations with documentation and training.

// Why DIMECULTIVA

We solve business problems.
Data is just how we do it.

Most data consultancies lead with tools and platforms. We lead with your business problem. That distinction is everything — it's why our engagements drive measurable outcomes, not just deliverables that sit in folders.

As a lean, founder-led firm, you get direct access to senior expertise on every engagement — no juniors running your project while the principal is elsewhere.

Business-first thinking. We always begin with the business issue — not the data, not the tool.

Senior expertise, every time. Founder-led delivery means no hand-offs to junior staff mid-project.

Accessible for SMEs. Enterprise-quality methodology at a price point built for South African businesses.

Full-spectrum capability. Strategy, governance, engineering, and visualisation — under one roof.

CRISP-DM rigour. A proven, structured methodology applied consistently — not ad hoc guesswork.

Data quality obsession. We treat data quality as the non-negotiable prerequisite for any analytics or AI initiative.

B-BBEE Level 1 · 135%. Maximum procurement recognition — a powerful advantage for your own scorecard.

// Our Work

Real problems.
Measurable results.

Every engagement begins with understanding the business problem first. Here's how that thinking translates into outcomes our clients can measure.

Retail & FMCG · Power BI Dashboard Build

From 5 disconnected spreadsheets to one executive dashboard

A mid-sized South African retail group ran sales, stock, HR, finance, and returns reporting across five separate Excel files — maintained by different departments, updated at different times. Leadership spent three days each month manually consolidating before any decision could be made.

The Approach

Applied CRISP-DM from business understanding upward. Mapped all five sources, identified conflicts, designed a unified Power BI data model with a star schema, and built a single executive dashboard with real-time drill-down by store, region, and product category.

70%

Reduction in reporting time — from 3 days to under 9 hours

5→1

Data sources unified into a single source of truth

R2M+

Previously invisible stock write-offs identified in month one

Power BIDAXPower QueryStar SchemaExcel

Financial Services · Data Quality Audit + Excel Model

Uncovering R2M in revenue leakage through a data quality audit

A Gauteng-based financial services firm suspected their month-end reconciliation numbers were unreliable. Their Excel revenue model had been built incrementally over four years by multiple people — full of hardcoded values, broken formulas, and undocumented assumptions. Senior leadership had lost confidence in the numbers.

The Approach

Conducted a structured data quality audit across completeness, accuracy, consistency, and timeliness dimensions. Traced every formula dependency, documented all data flows, identified R2M+ in billing mismatches. Rebuilt the revenue model from scratch with full auditability and scenario modelling.

R2M

In revenue leakage identified and remediated within 6 weeks

3d→2h

Month-end close time reduced from 3 days to under 2 hours

100%

Auditability — every number traceable to source

PythonPandasExcelPower QueryData Profiling

Healthcare · Data Strategy & Governance Framework

Building the data foundation that enabled a first BI layer

A private healthcare group with three facilities had years of patient, billing, and operational data in siloed systems with no governance, no defined ownership, and no POPIA-aligned handling processes. They wanted dashboards — but the foundation wasn't there yet.

The Approach

Advised against jumping straight to dashboards. Instead delivered a 12-week data strategy and governance engagement: maturity assessment, stakeholder workshops, formal governance charter, data ownership model, POPIA compliance alignment, and a phased 18-month roadmap. Only then did we scope the BI layer.

18mo

Phased data roadmap — governance to live BI in three stages

POPIA

Full data handling alignment across all three facilities

1st

Functioning BI layer built on a trusted, governed foundation

CRISP-DMDAMA FrameworkData GovernancePOPIAPower BI

* Client names withheld under NDA. Industry and outcomes represent completed engagements.

// Client Voices

What clients say about
working with us.

We measure success by whether our clients can make better decisions after working with us.

Keorapetse didn't just build us a dashboard — she spent the first two weeks understanding why our numbers weren't making sense. That investigation alone uncovered problems we didn't even know we had. The dashboard was almost secondary to the insight she brought before building it.

Head of Finance

Financial Services · Gauteng

★★★★★

We came in asking for dashboards. DIMECULTIVA told us, very directly, that we weren't ready yet — and explained exactly why. That honesty saved us from wasting months building on a broken foundation. Three months later we had the governance in place and the dashboards we actually needed.

Operations Director

Private Healthcare Group · Pretoria

★★★★★

Every recommendation was tied back to a specific business outcome. No jargon, no unnecessary technology — just clear thinking, clean data, and a report our whole executive team finally agreed on. We've been on retainer since.

General Manager

Retail Group · Johannesburg

★★★★★

* Testimonials represent authentic client sentiment. Names withheld by request.

Become Our Next Case Study

// Get In Touch

Let's talk about your data.

Whether you have a defined project, a challenge you're struggling to frame, or just want to understand your options — we'd love to hear from you.

Founder & PrincipalKeorapetse Tlhapane

CompanyDIMECULTIVA (Pty) Ltd

CIPC Registration2023/283630/07

B-BBEE StatusLevel 1 Contributor · 135% Recognition

Address1561 Riviera Place, Centurion, Pretoria, 0157

Emaildimecultiva@gmail.com

Phone / WhatsApp076 308 8354

Websitedimecultiva.co.za

EngagementsProject-Based · Retainer · Time & Materials

Your data should
drive decisions,
not just reports.

Data strategy that starts with your business, not the technology.

Seven practice areas.
One integrated approach.

Five pillars of
data management excellence.

CRISP-DM at the core. Business first, always.

We solve business problems.
Data is just how we do it.

Real problems.
Measurable results.

From 5 disconnected spreadsheets to one executive dashboard

Uncovering R2M in revenue leakage through a data quality audit

Building the data foundation that enabled a first BI layer

What clients say about
working with us.

Ready to make your data work for you?

Let's talk about your data.

Your data shoulddrive decisions,not just reports.

Data strategy that starts with your business, not the technology.

Seven practice areas.One integrated approach.

Five pillars ofdata management excellence.

CRISP-DM at the core. Business first, always.

We solve business problems.Data is just how we do it.

Real problems.Measurable results.

From 5 disconnected spreadsheets to one executive dashboard

Uncovering R2M in revenue leakage through a data quality audit

Building the data foundation that enabled a first BI layer

What clients say aboutworking with us.

Ready to make your data work for you?

Let's talk about your data.

Your data should
drive decisions,
not just reports.

Seven practice areas.
One integrated approach.

Five pillars of
data management excellence.

We solve business problems.
Data is just how we do it.

Real problems.
Measurable results.

What clients say about
working with us.