
Data lake as the basis for Industry 4.0
For a long time, the data warehouse was considered the central source for all data analyses. In the course of increasing digitalization, however, the data lake has overtaken the classic data warehouse.
Uniform access to distributed and heterogeneous data sources is a key to the adaptable factory. To avoid dependencies, this key must remain in the hands of the manufacturing company. This can be achieved with a separate architecture layer that creates a uniform data space across value chains, locations and clouds.

Do specialist departments in your company have to wait a long time for BI evaluations? Do you want to implement IoT projects or develop new business models? Then it's high time to check whether your data warehouse still meets current requirements - and is ready for future ones.

In the wake of the IoT, industry is facing a veritable flood of data. Sensors are constantly supplying data from production, logistics and other areas. Targeted data analysis is crucial in order to use this data profitably.

Following the entry into force of the European General Data Protection Regulation, there is still a great deal of uncertainty. A consistent data strategy can help turn the GDPR from a corset into an opportunity.

OSIsoft has released a new edition of PI Integrator for Business Analytics. The company aims to reduce the cost and complexity of industrial analytics and close the gap between operations and IT.