Data Analysis
The term Data Analysis refers to the utilization of a company’s data with the goal of uncovering insights, monitoring its daily operations, setting targets, tracking their achievement, applying statistical computations related to key operational concepts, and creating forecasts based on patterns developed from its historical data.
Capabilities
- Data collection and integration: Gathering and linking data from various sources while performing initial processing to identify errors or enhance data collection methods and structure.
- Statistical analysis and visualization: Creating reports that provide results with historical context, enabling comparative analysis of past and current data, which can reveal findings otherwise unnoticed.
- Simultaneous multi-factor data analysis: Utilizing interactive graphics for advanced data analysis on a multi-dimensional level.
- Customizable analysis levels: Allowing users to analyze and visualize data at any desired level, from an overview to in-depth analysis.
- Automated data updates: Real-time monitoring through automatic data refresh.
- Diverse visualizations: A wide range of charting options for creating complex reports.
- Interface adaptability: Customizing integration to suit each company’s business model using Power BI’s features or incorporating custom code.
- Data collection and integration with ERP: Establishing a connection between ERP systems and Microsoft Power BI for streamlined data collection and analysis.
Per la raccolta e l'analisi dei dati viene creata un'interfaccia tra l'ERP e il servizio Power BI di Microsoft.
Design the Future
Beyond answering what happened, how, where, and when it happened, a combination of visualizations and algorithm use can address why it happened. This can serve as a guide for decision-making and building a vision for the future.
VitaNET | Business Solutions
Benefits
Time and cost efficiency in decision-making:
All relevant company data is consolidated in one place, updated in real time.
Automated processes:
Decisions are made via automated processes, and the data is secure, clear, targeted, and readily available at any time.
Immediate access:
Direct access to information from terminals, tablets, and mobile devices.
Error reduction & goal alignment:
Identifying both weak points and efficient areas simplifies error correction and goal setting across all organizational levels, ensuring business continuity.
Operational cost reduction:
From analyzing consumer habits to forecasting sales via real-time monitoring, analysis, planning, and reporting processes help a company significantly reduce costs through insights and applicable automations.
Increased productivity:
All personnel can access and analyze data based on their perspectives and objectives, minimizing redundant work on the same datasets.
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