Transition from Business Intelligence (BI) to Analytics

Data bring real added value when they lead to action and thus make an active contribution. For many companies, a look into the past is no longer sufficient with classic Business Intelligence (BI). Faster (re-)actions are desired, even predictions in order to be able to act effectively. Advanced Analytics provides tools to achieve decision automation. Advanced Analytics is not equal to BI and the approach is different too. This leads to the big question of how Advanced Analytics and BI should work together or be combined. On the one hand, this requires a strategic definition for BI, for Advanced Analytics and, beyond that, for data. Because data is the essential basis. If you want to be data-driven, you need a data strategy that goes hand in hand with a change in culture. In this webinar, Timm Grosser, Senior Analyst at BARC, will deep dive the differences and pick up on 3 essential aspects to transition from BI to Analytics: 1) Data governance as the predominant instrument for implementing a data strategy 2) Operationalization of analytics to bring added value 3) Technology to support the integration, preparation, analysis and security of data as well as to promote cross-functional collaboration