IEC Editorial Team , 2022-11-24 , Image by Pete Linforth from Pixabay
Big data drives digital transformation by enabling prediction trends in datasets that go far beyond the capabilities of legacy analytic tools in terms of volume, velocity, variety and variability. Organizations require a process management framework to reap the benefits of big data analytics by ensuring that different functional groups and roles within an organization interplay with each other with the appropriate processes, purposes and outcomes.
A new international standard, ISO/IEC 24668: Process Management Framework for Big Data Analytics, provides practical guidance, based on best practices, on managing and overseeing big data analytics. It describes processes for the acquisition, description, storage and processing of data, irrespective of the industry or sector in which the organization operates.
“ISO/IEC 24688 provides a framework to leverage big data analytics across an organization,” said Wael William Diab, who chairs the joint IEC and ISO committee on artificial intelligence. “It builds upon the successful big data foundational standards.”
The new international standard will help any organization that relies on big data analytics to develop an efficient process management framework based on global best practices. The framework is designed to leverage big data analytics across all functions in the organization and includes process capability levels and process attributes for assessing capability.
ISO/IEC 24668 takes the various process categories into account, along with their interconnectivities. These process categories include organization stakeholder processes, competency development processes, data management processes, analytics development processes and technology integration processes.
This framework can be used not only for managing processes but also for enabling risk determination and process improvements. It will help organizations to develop competitive advantages, as well as to improve sales and customer experiences.
“ISO/IEC 24668 offers a unique capability in competency development processes for big data. It was based on the big data application provider, framework provider, and service partner defined in ISO/IEC 20547-3: Big Data Reference Architecture for the advancement of workforce planning, capability development, and functional knowledge for big data analytics,” said Wo Chang, Convenor of SC 42/WG 2 on Data.
The figure above gives an overview of the framework with the key process categories, along with process reference model and provides a process assessment model with help of a process measurement for the advancement of big data analytics in an organization.
Once in place, the management framework will enable organizations to improve decision-making and respond more effectively to both opportunities and threats. In addition, it will help organizations to reduce errors and costs.
ISO/IEC 24668 has been developed by the joint IEC and ISO committee for artificial intelligence, SC 42. The committee is responsible for developing foundational and horizontal standards for AI, including, computational approaches, data science and machine learning, as well as big data standards and analytic standards that leverage AI and big data.
“ISO/IEC 24668 is the first assessment standard on process capability from the committee for artificial intelligence, SC 42 for big data analytics. It will help at an organisation level to understand the readiness as well as the opportunities to improve within the organization for having a better journey for implementing big data,” said Gautam Banerjee, Editor of ISO/IEC 24668.
SC 42’s unique holistic approach considers the entire AI ecosystem, by looking at technology capability and non-technical requirements, such as business and regulatory and policy requirements and application domain needs, as well as ethical and societal concerns.
SC 42 organizes a bi-annual ISO/IEC AI Workshop series that is freely available. The next SC 42 workshop is taking place on 29 and 30 November 2022.
The November workshop will cover four content tracks: AI applications, beneficial AI, novel AI standardization approaches, and emerging AI technology trends and requirements. It will include a presentation about ISO/IEC 24668.
Visit the IEC Academy and Capacity Building webpage for more information and registration details. Archives of the inaugural workshop from May can be found on the workshop series website.
