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Optimizing Operating Costs from Data: 10 Problems Businesses Must Solve

LÊ THỊ PHƯƠNG THẢO

November 3, 2025 at 1:48:14 AM

When revenue is no longer growing steadily, the first reaction of many businesses is often: add more budget to marketing, hire more sales team, or find new sales channels. But there is a more sustainable – more effective – and… much more economical way:

→ Optimize costs from the data you already have.

Below are 10 real-world data problems that businesses often implement to reduce waste, control operations, and most importantly: without adding budget.

1. Inventory analysis

Evaluating the speed of goods turnover helps identify slow-selling, surplus, or wrong-type items. From there, cut warehouse costs and optimize cash flow.

2. Labor cost analysis

Connect payroll data, KPIs and actual performance to identify departments that are underutilizing resources – and then recommend restructuring or retraining.

3. Maintenance cost forecast

Use historical maintenance and equipment failure data to predict appropriate maintenance times, reducing the risk of "breakdown" due to unexpected machine stops.

4. Multi-channel advertising effectiveness

Connect data from advertising platforms (Google Ads, Facebook Ads...) to accurately evaluate costs and profits for each channel and campaign.

5. Optimize production costs

Analyze raw material data, production time, process errors to identify bottlenecks and reduce waste/scrap rates.

6. Shipping cost analysis

Leverage route, time, and late delivery data to redesign transportation systems – reduce costs, increase customer satisfaction.

7. Energy consumption monitoring

From electricity and water bills to equipment operating data – analyzing consumption by time, location and equipment type helps businesses control energy effectively.

8. Order and consumption data

Combine actual purchase and consumption data to design appropriate inventory policies, avoiding the prolonged "surplus but still shortage" situation.

9. Asset & Equipment Management

Monitor equipment health in real-time, make repair or replacement decisions before assets deteriorate severely.

10. Sales and customer retention costs

Calculate ROAS, LTV and churn rate in detail to evaluate sales efficiency, customer care quality and make the right investment decisions.

No extra money needed – just the right mindset

Most of the data to solve the above problems is already available in the enterprise system. What you need is to look back, analyze correctly and make decisions based on the data .

Cost optimization is not about cutting corners. It is about being smart and making sure every dollar you spend is worth it.

Want to deploy these analytics on your business data?

The Business Intelligence (BI) course at MDA is a comprehensive platform for you and your team to:

  • Build dashboards from operational, financial, and sales data

  • Self-analyze and detect unreasonable costs

  • Make decisions based on data – not emotions

→ See details of MDA's BI course: here

→ Or contact Zalo 0961 48 66 48 for detailed advice!

Mastering Data Analytics (MDA)

Providing training and data analysis consulting services (Zalo: 0961 48 66 48)

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