Business Optimisation

Businesses must continuously find new strategies to maximise efficiency and reduce operating costs to boost profitability.

How can we use data analytics to optimise our value chain from manufacturing to sales channels?

Thus, leveraging data analytics for business planning and optimisation can provide valuable insights and drive informed decision-making.

In this section, you can find articles (written by a supply chain data scientist) on utilising data analytics to optimise various aspects of business operations.

πŸͺ Data Analytics for Business Decision-Making

How can data analytics help small businesses improve revenue, manage resources effectively and maximise profitability?

A supply chain value chain flow diagram illustrating the stages and associated costs in business optimization. Starting from the left: a supplier icon labeled "$/unit" connects to transportation mode (air, sea, and truck), leading to "freight $$$/unit." This moves to a warehouse labeled "$/unit/week," linked with a service level agreement (SLA) and delivery costs "$/unit." The final step involves customers "$/unit," with a feedback loop for sales channel strategy and inventory management.
Modelisation of the Value Chain of a Small Business

These articles provide practical insights into using data analytics to make informed decisions and improve overall business performance.

Sustainable Business Practises

Reduce Costs & Maximize Profitability

Optimal Budget Planning

Data Visualisation for Decision Making

πŸ€– Automate Transactional Tasks

Use Python or VBA to automate manual recurring tasks required to run your business.

Accounting

Procurement Management