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Summit Consulting Ltd
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Overview

What this practice covers.

Most organizations already have the data. What is missing is a reliable way to pull it together, trust it, and see it in time to act. We design the pipelines, models and dashboards that close that gap.

01

Dashboarding & Reporting Automation

Live dashboards that replace manual month end reporting cycles with something leadership can check any day.

02

IFRS 9 Modelling & Automation

Expected credit loss models and automation built for accuracy, auditability and reduced manual rework, aligned to Bank of Uganda financial reporting requirements.

03

Revenue Assurance

Systematic checks that catch revenue leakage across billing, provisioning and reconciliation processes.

04

Data Warehousing & Pipelines

Clean, consolidated data infrastructure that feeds every report from a single source of truth.

05

Predictive & Scenario Analytics

Predictive analytics and what-if scenario testing for capital planning and operational forecasting, built on tools you already run: Power BI, SQL, Excel and Python.

How it works

Our approach to business intelligence & data analytics.

Audit

We map your existing data sources, systems and reporting gaps.

Model

We design the data model and calculations your reporting depends on.

Automate

We build the pipelines and dashboards that keep reporting current.

Train

We hand over a system your team can maintain and extend confidently.

Related downloads

Reports and tools from our own research.

Uganda Banking Sector Report

Our banking sector analysis, covering how Uganda's banks performed against each other and the impact of IFRS 9 adoption on profitability.

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Let's talk about business intelligence & data analytics for your organization.

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