Data Product Data as a Service (DaaS) Often data products act as feed for DaaS A “commodity” is defined as something useful that can be turned to commercial or other advantage. Examples of traditional commodities are grains, gold, beef, oil and natural gas Data Commodity
bit by bit moving towards Data as a Service (Daas) world. Why? Data as a commodity follows the same servitization trend we see elsewhere as well. Thus I am more interested about DaaS than more or less static, rigid take it or leave it Data Products. Future and profit are in DaaS
chain @Twitter_name Packaged Raw data Digital Twin Provides context Data as a Product Services Data as a Service INTERNAL PRIVATE USE + PARTNER ECOSYSTEM PUBLIC ECOSYSTEM
to take the NEXT MENTAL LEAP forward @Twitter_name Packaged Raw data Digital Twin Provides context Data as a Product Services Data as a Service Platform of Trust V1 -> V2 was transformation in thinking from Digital Twins to Data Products V2 -> V3 we need to leap into combination of data products and data as a service V1 V2 V3 Added value grows, where do we want to be? Partners do 80% of this, we enable?
a Product Data as a Service • Often a snapshot • Often data content is large (relative term) • As an extreme this is a file • Content is often fixed • Less refined - less directly usable value for customer • Used as feed for Data as a Service • Might often have One time payment pricing • Often small batch but timely fresh • Currently often GUI driven, but APIs offer machine-level access as well • Customer involved in package content and value creation • Returned result might come from an analysis • More often subscription based pricing Product – Service difference You can serve both of these and all the variations Internally, to partners and publicly
evaluate data commodity Which are you paying for? Access or to own the content related rights? Let’s have a look at the range sliders used to see whether data commodity has more product or service features. Data Product Data as a Service Who controls the usage? Sets the SLA and quality levels? How much can the consumer customize the results / content? Who is doing the value-adding operations to the data?
CO2 levels of a building Customer gets the current values via API. Reselling rights only API access, current CO2 values only, no history, no batch data. License allows reselling, but does not give ownership in the data. Data Product Data as a Service Corporate is managing the access and stores the data. Corporate controls the usage. Customer has very little customization options Company has exposed the subset of data. Company has sanitized and harmonized the data.
conditions of a building Customer gets the current values via API. Customer pays for access and ownership of the derivates API access, multiple measurement types (Co2, temp, humidity), current and history values, License allows reselling and rights to derivate data Data Product Data as a Service Customer controls the derivate data and is allowed to resell the original data. Customer can select current or history values of 3 data types Company has exposed three data types to choose from. Company has sanitized and harmonized the data.
of the landlord Customer pays for the certificate. Delivery method can vary. Download access, simple PDF document, rights to use the document freely. Customer gets the original and none is stored as PDF in the data source system. Data Product Data as a Service Customer gets the original (digital copy) and can do what ever (s)/he wants. Customer has next to none customization options Company enabled automatic creation of PDF file from given data.
Robotfarm performance dashboard Customer pays for the access and provider to maintain dashboard service PowerBI driven dashboard which shows predefined (== custom built) charts and values. Customer has access to dashboard, but no rights for the source code. Customer can freely use charts. Data Product Data as a Service Provider has control from where and how the dashboard is accessed. Customer defines the measurements. Changes only by provider. Rigid and slow to change Company creates/maintains/provides the analytics and presentation engine.
Robotfarm performance dashboard Customer pays for the access and provider to maintain dashboard service Natural language driven dashboard which shows dynamically constructed charts. Customer has access to dashboard, but no rights for the source code. Customer can freely use charts. Data Product Data as a Service Provider has control from where and how the dashboard is accessed. Customer can select views, data and scopes. Changes to code only by provider. Customer ”creates” with natural language interface new views to data and gets unique dashboards
data market place offering. Would it fit my data commodity? As investor evaluate company’s data commodity portfolio to see whether distribution is desired If your organisation’s data processing capability is low, you should stick with Data as a Service. Tool to filter. Understand the role of both in value chains. Undertand your position in ”food chain”
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