Data strategy
In this digital world there is an abundance of information available. Most companies today already generate and store a lot of workable data from online advertising, ordering processes, ERP system etc… Yet companies are not always aware of the data they have or can generate and what its value is. The collection, processing and analysis of data is not easy and can take various forms and is generated from both internal and external entities and systems.
Dillen Technologies helps you use your data intelligently and develop a vision for the future with maximum use of all available information. With an appropriate data strategy your organization gets more value from existing data and, combined with knowledge from different sources, is able to gain unique and valuable insights.
A solid data strategy
Structured data, for example from ERP systems, gives you a global picture of your customers and business performance. Combined with the transformation of unstructured and unprocessed data, you will gain valuable insights that give you a vision for the future and yield a competitive advantage.
To enable valuable real-time analysis, we create an appropriate data strategy that makes your data usable in five steps.
Identify data sources
Data ingress
Data storage (Data Lake)
Analysis and (autonomous) learning
Insight presentation
Artificial intelligence in your data strategy
Using artificial intelligence, implementing an efficient data strategy requires minimal effort and costs.
The creation of a Data Lake in which all data is stored in one central, secured place provides infinite possibilities for storage, processing and analysis. It is therefore a starting point to implement data science and artificial intelligence in all parts of your organization.
