SoftGuide > Functions / Modules Designation > Performance analysis

Performance analysis

What is meant by Performance analysis?

"Performance analysis" refers to the process of evaluating and analyzing the performance of companies, departments, employees, or other organizational units. The goal is to measure efficiency and effectiveness, identify strengths and weaknesses, and make data-driven decisions to improve overall performance.

Typical features of software in the area of "performance analysis" include:

  1. Data integration and processing: Importing and processing performance data from various sources (ERP systems, CRM systems, production systems).
  2. KPI management: Definition, calculation, and monitoring of performance indicators (KPIs) such as revenue, productivity, lead times, error rates.
  3. Reporting and visualization: Creation of reports and dashboards that visualize performance data in the form of charts and graphs.
  4. Deviation analysis: Analysis of actual vs. target deviations to identify performance deficiencies and determine root causes.
  5. Benchmarking: Comparing performance with industry standards or other companies to identify best practices and drive improvements.
  6. Forecasting and simulations: Creating performance forecasts based on historical data and conducting simulations to evaluate potential actions.
  7. Role-based access rights: Granting access to performance data based on user roles and responsibilities within the company.
  8. Integration with other systems: Seamless integration with other business software systems to improve data quality and information flow.

Examples of "performance analysis":

  1. Employee performance evaluation: Analysis of individual employee performance based on KPIs such as sales figures, productivity, customer feedback.
  2. Production performance: Evaluation of production process efficiency through analysis of lead times, scrap rates, and machine availability.
  3. Financial performance: Analysis of the company's financial performance by assessing revenue, profit margins, costs, and profitability.
  4. Customer service: Analysis of performance indicators in customer service, such as response time, customer satisfaction, and resolution success rate.
  5. Sales performance: Evaluation of sales performance through analysis of sales figures, conversion rates, and market shares.
 

 

The function / module Performance analysis belongs to:

Statistics/Forecast

Before-and-after comparisons
Classification and prediction
classification and regression trees
Container accounting
Course participant and learning statistics
Customer and sales data analysis
Customer evaluations
Econometric and statistical analyses
Linked data management
Mandate analysis
Metropolis algorithm
Network Statistics
predictions and model simulation
statistical cost planning
Utilization analysis according to loss classes

Software solutions with function or module Performance analysis:

Cosmino Panteo - PDA and MES software
myPARM - Multi-project management software
OTEC -- ERP / PPS Software for Surface Finishing Technologies
ProSeS - Process Data Management