Consistent data ensure correct results
Many data means many values? Not at all! Your raw data is not of much use at first. A qualified data preparation is needed to unlock new values for your business. Your data must be validated, corrected, enriched with further information and finally made available in best quality for the respective analysis purposes. Only then can your analytics systems and AI applications deliver reliable results.
A maximum of transparency for analytics
You can assess the quality of your analysis best if you know the origins of the data you use. Therefore building a Data Lineage is one of the most important tasks in data preparation. The Data Lineage makes all processing and transformation steps transparent, from the original data to the aggregated data object. Potential errors can be quickly identified and eliminated.
As a part of a company-wide analysis platform, the Data Lineage not only supports your business processes. At all levels of your company the confidence in analysis results is rather strengthened. To ensure an efficient and secure data use, your Data Lineage is complemented by the roles, guidelines and standards of Data Governance.
How you profit from qualified data preparation
Whether Business Intelligence or Artificial Intelligence – you have a high-quality database that ensures reliable results and insights for every use case.
More value added
You can utilize a wide variety of data formats for your goals – from structured master data to unstructured IoT data streams that constantly flow into your system.
Users gain new insights quickly and efficiently. Similarly real-time systems and processes can be served by appropriate data.
You can always rely on a consistent and up-to-date data base to answer business questions in the best way. By using real-time data, decision-making can even be automated.
You always have a complete overview of your data landscape. Every user can easily go from aggregated data views to the original data in their analyses.
Data Scientists can explore all raw data and train algorithms for AI solutions. This is how you fully take advantage of the innovation potential of your data!
How our customers benefit from their data
“Before working with ORAYLIS, we could only get business value from our data at great expense. Now we have a consistent database that provides answers to all our business questions. This project could never have been realised with internal resources alone.”
Mona Meyer, Head of the Sales Control and Strategy Department at Energieversorgung Mittelrhein
The best tools for your data solution
We use Azure Databricks and Azure Synapse Analytics to process the data in your central cloud platform. With the innovative analytics service, you can query data from a wide range of sources, transform and provide it in real-time. By using Azure Purview, you create a data lineage that makes all processing and transformation steps transparent, from the original data to the aggregated data object. You can also develop a data governance that ensures efficient and secure data use with defined roles, policies and standards.
With Microsoft Fabric, you can create a complete analysis platform at the touch of a button. You only need one cloud service to collect all your data in a data lakehouse and make it available for a wide range of analyses.
Azure Purview enables you to manage and control your different data sources on an integrated analysis platform. Therefore it is the perfect tool to realize the guidelines, roles and standards of a unified data governance.
Azure Machine Learning
Azure Machine Learning is a set of cloud services and tools that train, deploy, automate and manage Machine Learning models. So you can easily add Artificial Intelligence to your processes, applications and products.