Data Analysis

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Analysing data and utilising the results.

Bezpieczeństwo infrastruktury firmowej.

Data analysis is a crucial process in a company that enables better decision-making based on factual information and statistics. This process involves various techniques and methods used to collect, process, and interpret data. Here are the main aspects of data analysis in a business context:

Understanding customers – analysing their purchasing behaviour, preferences, and opinions.
Process optimisation – identifying opportunities to enhance operational efficiency.
Forecasting – predicting future trends by analysing historical data.
Market segmentation – dividing customers into groups based on similar characteristics or behaviours, enabling more effective tailoring of offers.

Data analysis has become a crucial tool for making strategic decisions in modern companies. The effective use of data can significantly impact business growth and competitiveness in the market.

Evaluation, assessment, future outlook.

Microsoft® Power BI

Power BI is a data analysis and visualization tool created by Microsoft. It enables users to gather, process, and display data in clear reports and charts. The available functions of the program are:

Data collection – connecting to various sources, including databases, Excel files, cloud services, and APIs.
Data transformation – processing data with tools like Power Query, which allow users to filter, sort, and modify data in order to prepare it effectively for analysis.
Data visualisation – creating interactive reports and dashboards using various charts, diagrams, and other visual elements.
Sharing – the capability of distributing reports with other users, both within and outside the organisation.
Real-time analysis – the creation of reports that update instantly, allowing tracking of the most recent data.

Methods for data analysis

Descriptive analysis – collecting and summarising data to understand its basic characteristics.
Diagnostic analysis – identifying the causes of problems by examining the available data.
Predictive analysis – using statistical models and machine learning techniques to forecast future events.

Data visualisation and accessibility.

With Power BI, users can access and interact with reports and dashboards across mobile devices, making critical data available anytime and anywhere to facilitate decision-making and collaboration among team members.

Power BI offers a variety of data visualisation options that allow you to read and understand your results quickly and easily.