Data Monetization on Cloud
Over this ever evolving world of data, the various data modernization needs not only has enabled an organization to standardize their existing data landscape, rather it has enforced multiple organization to understand the importance of data in its right form. And head on, the customers have started understanding the need of a Data Marketplace, not just as a consumer but also as a monetizer, with an intent for preferential profitability or for a sound-full collaboration within and across organization.
Data Monetization is taking the lead and the monetary value need not be always measured in currency. So how much of customers have we seen who have lost patience integrating data provided from multiple sources and multiple channels through various platforms and protocols to be made available to add value to business. And how many times have we felt dejected on knowing a data of high value not impacting business strategy due to loss of visibility.
Let's take the simplest of an example, a corporate looking out for revenue driven insights through sales information shared by multiple external data providers - for a start like Nielsen to be one of them. Has there ever been a fast and simpler experience to concentrate on the insights from the start without drifting to the unscarred hurdles of collaboration.
If external data providers start channeling their data marketplace strategy through managed Cloud Data Services, Things are going to ease out from the source for multiple customers.
Microsoft did come up with Azure Data Share around July 2019, and now AWS has released AWS Data Exchange yesterday (13 November 2019).
Read more : Announcing preview of Azure Data Share Read more : Introducing AWS Data ExchangeThough adoption of new technology and services takes time, the telltale experiences on data within an organization will be more transparent through Data Modernization and Data Monetization practices by bringing in harmony for end users, ultimately through such platforms that could also enable rating and feedback on data shares more accessible and intuitive.
Finally i do agree one cannot completely eradicate challenges in social practice of collaboration even with data, but one can demonetize the stature of the complexities in data collaboration.
As for the readers, look forward to hear your experiences on data collaboration practice across organization or your experience in interacting with data providers involved in Data Monetization already.
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