Explore how the use of the Internet of Things (IoT), Event Data and Stream Processing can disrupt and improve conventional Business Intelligence (BI) and Management Information (MI) architectures.
For over 25 years now, we have been conditions to believe that wholesale replication and staging of ‘point solution’ data from operational systems is the right and proper way to build data warehouses and repositories to enable analytic and reporting capabilities. The technology and skills required to do this are easy to acquire, everyone else is happily doing it and frankly: ‘Nobody ever got fired for buying IBM.’
Ntegra looks beyond the fear, uncertainty and doubt and lazy conformity, to think about how and where new and emerging technology might be used to improve current architectures.
In this short piece, we explore the use of Internet of Things (IoT) Event Data and Stream Processing to disrupt and improve conventional Business Intelligence (BI) and Management Information (MI) architectures.
Explore how the use of the Internet of Things (IoT), Event Data and Stream Processing can disrupt and improve conventional Business Intelligence (BI) and Management Information (MI) architectures.
For over 25 years now, we have been conditions to believe that wholesale replication and staging of ‘point solution’ data from operational systems is the right and proper way to build data warehouses and repositories to enable analytic and reporting capabilities. The technology and skills required to do this are easy to acquire, everyone else is happily doing it and frankly: ‘Nobody ever got fired for buying IBM.’
Ntegra looks beyond the fear, uncertainty and doubt and lazy conformity, to think about how and where new and emerging technology might be used to improve current architectures.
In this short piece, we explore the use of Internet of Things (IoT) Event Data and Stream Processing to disrupt and improve conventional Business Intelligence (BI) and Management Information (MI) architectures.
