Instrument your business with an enterprise-ready data lake.
It is often clear to analists and other data professionals: the traditional BI environment is insufficiently capable of making use of all available data. A data lake is required to process large amounts of data, store new data formats and get the necessary tools swiftly and efficiently to combine and analyze the data. Making this step is required to generate new customer insights or to improve internal processes. The question is how to realize a swiftly implemented data lake? In a corporate environment, with lots of various stakeholders, this is not an easy step. Furthermore, because of the subject being unknown to the organization, there will be a lot of uncertainties about how to get it fully operational.
Some of the topics covered are:
“Longer sessions created room for more depth and dialogue. That is what I appreciate about this summit.”
“Inspiring summit with excellent speakers, covering the topics well and from different angles. Organization and venue: very good!”
“Inspiring and well-organized conference. Present-day topics with many practical guidelines, best practices and do's and don'ts regarding information architecture such as big data, data lakes, data virtualisation and a logical data warehouse.”
“A fun event and you learn a lot!”
“Very good, as usual!”
“As a BI Consultant I feel inspired to recommend this conference to everyone looking for practical tools to implement a long term BI Customer Service.”