Data Analysis

Data Analysis is the process of examining, cleaning, and modeling data to discover useful information, support decision-making, and predict future outcomes.

From descriptive reports to predictive analytics, our team helps organizations use data as a strategic asset.

1. Descriptive Analysis

Understand what happened in your business using historical data.

• Performance summaries

• Trend and correlation analysis

• KPI dashboards

2. Diagnostic Analysis

Find out why something happened.

• Root cause analysis

• Data segmentation

• Statistical comparisons

3. Predictive Analysis

Forecast future trends with advanced algorithms.

• Machine learning models

• Sales and demand forecasting

• Risk prediction

4. Prescriptive Analysis

Get recommendations on what to do next.

• Optimization models

• Decision support systems

• Scenario simulation

5. Data Visualization & Reporting

• Interactive dashboards (Power BI, Tableau, Looker Studio)

• Automated reports for teams and management

• Real-time data updates

6. Survey & Impact Analysis (for NGOs / Projects)

• Data collection design (using KoboToolbox, Google Forms, etc.)

• Impact measurement and beneficiary insights

• Statistical reporting for donor submission