Eva Förtsch
Natuvion drives digital transformation in the public sector
Digital transformation in the public sector is often a tough, slow-moving project, and many government agencies are still far from where they need to...
When companies are planning an IT transformation, the first step is to gain a clear picture of the current state of their data. Often, they are confronted with massive volumes of information. To analyze and assess this data efficiently and securely, specialized tools are essential.
If a data migration to a new system is part of the transformation process, the data comes into sharp focus. At the outset, the sheer volume of data can be overwhelming. How can this massive amount of data be managed? What can be discarded, and what needs to be transferred to the new system? What legal requirements should be met? These are just some of the questions that project leaders must address. The simple answer: analysis tools.
Fast, secure, and time-saving
To gain a clear and comprehensive understanding of a company’s data landscape, analysis tools are essential. As the name suggests, these tools perform a full analysis of all existing data. They are often modular, allowing for maximum flexibility during the evaluation process.
Data volume reduction is a key aspect of modern IT strategies. The primary goal is to eliminate unnecessary, redundant, or irrelevant data in order to save storage resources and improve processing speed. This helps companies significantly boost the efficiency of their systems, while also reducing storage and data transmission costs.
Less data also helps improve data security as it offers cybercriminals fewer potential attack targets. By storing only necessary and relevant information, the risk of data breaches or unauthorized access to sensitive data is reduced. Additionally, data volume minimization supports compliance with data protection regulations such as the GDPR.
Benefits of analysis tools
- Improved decision-making: Access to accurate, data-driven insights supports better decision-making during transformation initiatives.
- Time and resource savings: Automated analysis processes reduce the time and effort required for transformations by companies and their employees.
- Increased efficiency: Large data volumes can be analyzed and visualized in real time.
- Optimization of business processes: Analysis identifies inefficiencies and bottlenecks, allowing for targeted improvements.
- Error reduction: Automated analyses minimize errors that can arise from manual data evaluations.
Are you currently looking for the right analysis tool? Then DCS Analyze might be the solution for you!
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