Data management
Bundle your company data in a central database as a basis for processes and decisions.
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Data, Analytics & AI
Bundle your company data in a central database as a basis for processes and decisions.
To cope with the increasing flood of data in the company, corporate data must be democratised. With a proper data-driven culture and the right technical approaches, we ensure the availability of all relevant data and information at a central point. This means that the right data is always available to a data-driven company at the right time, to the right user, and in the right place.
In order to make a 360-degree analysis of customers, their behaviour, preferences, purchase options, production problems, and product quality, many different data sources available in different formats usually have to be analysed. As experts in data integration and persistence, we ensure that the data does not only end up in individual silos, but also enrich them in such a way that it can be evaluated and analysed in order to be able to display the overall picture of an analysis that was initially described. Of course, this also includes IoT-, Edge- and FrontWorker devices, as this data also needs to be analysed in real time. Also intelligent archiving of this data is necessary.
Interface definition
Negotiation and definition of structure, content and frequency for interface agreements.
Data analysis
Identification, analysis and evaluation of relevant company data for your project.
Data management
Selection of the data storage form suitable for your project.
Implementation
Planning, implementation and automation of performance ELT/ETL pipelines in a manner that ensures quality.
Uniform access to data is important for efficient analyses, especially for self-service applications. If the end user has to query all data sources themselves and prepare the corresponding data before the actual analysis, there is less time for generating valuable insights. The different nature of the sources (structured and unstructured) as well as diverse access rights further complicates the process. The solution provides a central system that contains the data in a processed, cleaned form and in a standardised format. Enable your analysts to focus on the essentials to generate profitable insights!
DWH Architecture
Identification and development of suitable architectural approaches.
Data integration
Harmonisation and connection of all data sources relevant for your project.
Data transformation
Preparation of your raw data into meaningful and usable information.
Democratisation of data
Provision of data in a form suitable for business users.
New forms of data sources also bring new challenges. If the available data volumes become too large, too complex, too fast-moving or are only partially available in a structured form, traditional data management systems reach their limits. In these cases, we need to rethink processing and storage forms. With the emergence of data in almost all places where we also act privately, the volume of unstructured mass data is increasing sharply so that the challenge of making it available in an acceptable time is becoming increasingly important.
Data Lake
This also gives rise to application cases in which the structuring of data is no longer the main focusand in which unstructured or non-normalised data can also be used. This is due to the fact that the data is available in a semi-structured or unstructured form on the one hand, and due to the sheer mass on the other hand, because of which there is often not enough time to apply a more or less complex transformation. For these cases, it can be useful to apply data lake concepts to extract valuable information.
DWH Architecture
Identification and development of suitable architectural approaches.
Data integration
Harmonisation and connection of all data sources relevant for your project.
Data transformation
Preparation of your raw data into meaningful and usable information.
Democratisation of data
Provision of data in a form suitable for business users.