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Data Warehouse Modernisation

Sambe Consulting is able to bring together all data at any scale easily and gives insights through analytical dashboards, operational reports, or advanced analytics for all users. Our modernisation solution includes a combination of a Data Warehouse and Data Lake to manage and analyse structured and unstructured data.

BI and Analytics is done to establish a value-driven Logistic network aligning the supply and demand and includes:

  • Advanced Transportation Business Intelligence Analytics.

  • Route Planning and Optimisation.

  • Just-In-Time Inventory Optimisation.

  • Condition-Based.

  • Equipment Maintenance.

Person Analyzing Data

Transportation and Logistics Analytics

Transportation and Logistics Analytics are procedures conducted to analyze and co-ordinate the logistical function and supply chain to ensure smooth running of operations in a timely, and cost-effective manner. It involves the extraction of knowledge from transportation data and measuring the performance of transport logistics.


Some of the value that Transportation and Logistics Analytics adds to an organisations are as follows:

  • Leverage fleet management solutions to effectively address seasonal peaks in demand.

  • Streamline operations, processes and improve productivity.

  • Ensure adherence to schedules.

  • Perform on-time delivery analysis.

  • Analyse the root cause of operational challenges.

Data Science As A Service

Attractive, managed service, option offering organisations full access to a multi-dimensional skilled team of data scientists, analysts, business intelligence developers etc. without requiring them to invest in their own data teams. Additional cost savings include data security, infrastructure, platforms, software, training and time.

Some of the value that Data Science As A Service adds to an organisation are as follows:

  • Put data in order and find direction for organisations / functions or teams.

  • Transform raw numbers into targeted solutions by collecting and analyzing day by day big data within organisations.

  • Uncover hidden correlations by segmenting the market and customising products with the help of big data predictive analytics.

Data Center
Person Checking Data

Payables Visualisation

Do you want to manage your cash flow better, faster? We have a Solution that provides a quick overview of your accounts payable by providing a viewing history of payments and outstanding balances by aging, suppliers, and cash on hand.

Reporting, Dashboarding and Visualisations

Reporting and visualistion services using multiple dashboarding tools such as Power BI, Qlikview, Tableau, MicroStrategy, Excel, etc.  Below are a few sample visualisations. 

​Sales & Financial Visualisation

Are you able to spot trends, identify outliers and analyse profitability? Avoid blind spots and make data driven financial decisions.

Inventory Visualisation

How much money can be found in your business in the form of stock? Our Inventory Visualisation evaluates previous sales data, and, based on multiple settings, gives you the inventory turnover rate per item. 

Human Resources Visualisation

Are there skills lacking in our departments? Trends, patterns, and recurring actions is the focus of this visualisation. It will assist your company on keeping an eye out for recurring patterns in your HR department.

HR Analytics

At its core, HR analytics enables HR practitioners and employers to gain insights into their workforce, HR policies, and practices, with a focus on the human capital element of the workforce, and can ultimately inform more evidence-based decision making.

Some of the value that HR Analytics adds to an organisation are as follows:

  • More productive workforce.

  • Improved workforce planning through informed talent development.

  • Better hiring practices.

  • Increased retention.

  • Task automation.

A woman sitting by her computer in a trading room
Business Discussion

Business Analytics

Business Analytics is the combination of skills, technologies, and practices used to examine an organisation's data to gain insights and make data-driven decisions using statistical analysis. The goal is to narrow down which datasets are useful or not, and which of these sets can increase revenue, productivity, and efficiency.


Some of the value that Business Analytics adds to an organisations are as follows:

  • Improves performance by giving businesses a clear picture of what is and isn’t working.

  • Provides faster and more accurate decisions.

  • Minimizes risks as it helps a business make the right choices regarding consumer behavior, trends, and performance.

Cloud Adoption Maturity

Most businesses are steadily moving toward the cloud, with most planning to migrate to the cloud or expand their cloud footprint within a few years.


Our Cloud Adoption Maturity Assessment will help you understand where you are in your cloud journey and how we can help you move forward.


These are the four stages we will look at:

Phase 1: Cloud Discovery

Phase 2: Cloud Data Migration

Phase 3: Cloud Data Maturity

Phase 4: Cloud Data Leader

Data Cloud
Data Processing

Robotic Process Automation

Interest and activity in RPA is growing and we are increasingly seeing deployments reaching enterprise scale and operating on processes across the organisation.


Our offering can deliver automated and improved business processes required to make clients organisation improve the efficiency and effectiveness of their operations faster and at a lower cost than other automation approaches. 

Automation Of Regulatory Reporting

We have methodology and experience to automate regulatory reporting so that it can significantly improve business processes related to regulatory reporting, enabling organisations to complete thousands of hours of manual regulatory reporting work in just minutes with little or no human involvement.

Some of the value that Automation of Regulatory Reporting adds to an organisation are as follows:

  • Organisation-wide framework overseen by senior management and managed in partnership with finance and risk, and business lines.

  • Organisation-wide end-to-end data governance framework where data is managed centrally, and includes standards for storing data, defining data definitions, measuring data quality, enforcing data standards, and testing data.

Financial Report
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