Strategic advice & alerts to leverage data analytics & new technologies
Leverage data and the technologies that generate it, from IoT to AI/machine learning, wearables, blockchain, and more, to improve decision-making, enrich collaboration and enable new services.
An awareness of granularity and context in analytics is vital for creating value to the business. In this Advisor, I focus on understanding the degree of granularity of analysis and how organizations can incorporate granularity in their analytical solutions.
Here, in Part VI, we jump right into where we left off and continue examining industries that AI is expected to disrupt.
Companies are turning to machine learning, computer vision, robotics, and other AI technologies to revitalize the retail shopping experience and boost customer experience and business benefits — both online and offline. But it is the new, cutting-edge, AI-driven applications under development that are most interesting — holding the promise of opening up new business models and possibly disrupting the retail sector.
This article gives us the complete context of what governance means, considering the data lifecycle (create, store, use, etc.) and the cognitive hierarchy of data, information, knowledge, understanding, and wisdom. The authors also look at the elements contained in a formal data model and what these elements tell us about the governance actions that need to be taken when data is accessed, modified, or deleted.
This article describes what good governance means for public sector institutions that are embracing open data initiatives. While these organizations make data accessible to increase government transparency and promote economic empowerment, they face additional responsibilities in terms of data quality, privacy compliance, security, and more.
Michael Atkin depicts the conflicting demands on the CDO, who must cover “operational data management” as well as “data management for analytical insight.” He shows how caring for the quality of the data, understanding its provenance and pedigree, minimizing the transformations, and adding semantic understanding of the data are part of the new responsibilities of the CDO 2.0.
Steven Woodward explores in depth the issues of data residency, using the term “geo-jurisdictions” to describe the intersection of geographical and legal boundaries that place constraints on the handling of data. Woodward begins by alerting organizations that falsely believe that data residency is not a concern for them. From this warning, the author moves on to concrete recommendations about policies that should be put in place for various service and deployment models as well as the need for a thorough geo-jurisdiction analysis.
While issues around data and information governance are starting to get the attention they deserve, business and technology leaders still need help finding their way through all the conflicting demands. We invited several authors to present their perspectives and recommendations on this complex web of issues.