We live in a world with large amounts of data, but what to do with the data we collect?
Due to the communication via digital channels, software and sensors the flood of unstructured data is increasing. This increases the demands on your existing systems to deal with this data.
neusta enterprise services helps you to process and analyse data in a targeted manner, to recognise correlations between data, to gain insights and to exploit potential.
Only when the data has been prepared, it can be analysed, visualised, patterns can be recognised and recommendations for action can be derived.
There is a variety of methods, from descriptive statistics, in which data is clearly presented with the help of tables or graphics, to artificial intelligence, in which data can be analysed in real time and decisions are made autonomously.
To make this possible, you need a functioning data management system.
I am fascinated by what is already possible with artificial intelligence today and where the journey will lead to. I am excited to be a part of it.
The requirements are represented and communicated in the data model.
Data storage, implementation and management of stored data.
Protecting data from unauthorised access and complying with all legal requirements regarding data storage, data protection and utilisation.
Provision of data at the right time and in the right format. Reduced costs and complexities can be achieved by implementing solutions and interfaces. Business Intelligence (BI) and Data Analytics can be used to gain meaningful insights.
Planning, implementation, control of the activities of the data life cycle model.
Master-data management supports the administration of common data, thus reduces the costs of the data integration and increases the data quality.
Development and maintenance of a technical environment in order to provide data for the support of the employees and to create reports, queries and analyses.
Ensuring the quality and security of metadata.
Ensuring the quality of the data, depending on the various requirements for the data, which are already defined.
Describes the basic data structure for optimal use of the data.
Holistic management of data including a data management concept. This includes the planning, monitoring and enforcement of policies to ensure the quality, protection and security of data.
The requirements are represented and communicated in the data model.
Data storage, implementation and management of stored data.
Protecting data from unauthorised access and complying with all legal requirements regarding data storage, data protection and utilisation.
Provision of data at the right time and in the right format. Reduced costs and complexities can be achieved by implementing solutions and interfaces. Business Intelligence (BI) and Data Analytics can be used to gain meaningful insights.
Planning, implementation, control of the activities of the data life cycle model.
Master-data management supports the administration of common data, thus reduces the costs of the data integration and increases the data quality.
Development and maintenance of a technical environment in order to provide data for the support of the employees and to create reports, queries and analyses.
Ensuring the quality and security of metadata.
Ensuring the quality of the data, depending on the various requirements for the data, which are already defined.
Describes the basic data structure for optimal use of the data.
Holistic management of data including a data management concept. This includes the planning, monitoring and enforcement of policies to ensure the quality, protection and security of data.
Artificial intelligence is gradually making its way into the most diverse stages of the value chain. Just a few examples:
neusta enterprise services advises you, supports you in defining the approach as well as in implementing comprehensive data management. Depending on your needs, we also draw on the experience of our team neusta sister companies in the areas of business intelligence and artificial intelligence.
We look forward to hearing or reading from you.
