Big Data Strategies for Agile Business by Bhuvan Unhelkar PhD FACS

Author:Bhuvan Unhelkar, PhD, FACS
Language: eng
Format: epub
Publisher: CRC Press

Self-Service versus Managed Service in the Context of Big Data Analytics

The type of service offered impacts on the support and costs. The type of service may vary over time, and a mixed approach may be required. The two main types of analytical services are

Self-service: This is mainly where the data products are provided as a service. Others use these products to undertake analysis and value-adding processing. Self-service is often easier to establish and maintain and cheaper to run. Self-service is often popular with more the technologically experienced and those who consume the service as a major part of their job.

Managed service: This is where the service undertakes much of the analysis and value-adding processing on behalf of others. Managed services often require more effort to establish and maintain and may incur higher costs. Managed service is often popular with those who just want a valued-added product for decision making and do not have the time for self-service.

Self-service versus managed service needs to be understood in the implementation of Big Data services within an organization. For example, in establishing a Big Data analytical service within a transport management agency, concern around jobs was a more prominent theme than efficiency of analytics. Implementation of the services started with a selected product offering (an extension of a familiar report rendered in real time with selected enhancements) to key stakeholders. As the service became valued, additional funding was secured, and a range of effective, easy-to-use products were offered. As the comfort level with the products increased and demand for services increased, more advanced analytics services were supplied.

Self-service is found to be popular with more technically aware users in back-office roles whose job it is to utilize data for improved decision making. A greater range of products are provided with a self-service tool, but some level of support is still needed. Those with a greater awareness of technology and in the back-office roles are more accepting of minimal viable products and more frequent upgrades and iterations.

In contrast, frontline staff or those traveling around more prefer a managed service whereby highly refined products are provided and the processing is completed for them. Frontline staff also prefer consistency and uniformity of products and show greater frustration with more Agile product releases.

As Big Data grows in maturity and the data analytics capacities and capabilities increase, more of the value-added analysis becomes automated. This is especially the case where data are automatically analyzed as part of AI; that is, many Big Data services provided will be used by computers rather than people directly.

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