By 2016, 25% of net-new BI and analytics platform deployments will be in the form of subscriptions to cloud services.
–Gartner 2014
An emerging topic in artificial intelligence (AI) projects is project teams’ responsibilities for developing ethical AI systems. Consequently, there are many ethical guidelines and principles that project teams should take into consideration. For example, Jobin, Ienca, and Vayena performed a content analysis of 84 AI ethical guidelines. 84. Ryan and Stahl translated those guidelines into… Continue reading The intersection between project success factors and AI ethical principles
These days, the terminology used for artificial intelligence can include any number of data science sub-fields, including business intelligence, big data analytics, or other decision support systems. Within big data analytics, the technique and method of machine learning can also be a distinguishing factor, e.g., natural language processing, neural networks, computer vision, conversational. As project… Continue reading Data science: BI, Big Data Analytics, AI Competencies
In the Project Management Stammtisch on the 26th of October, we covered “Impact of Multidisciplinary Teams and Data Scientist on Project Success Project Management Stammtisch.” The research in this area offered an intriguing story about teams and individuals. The profiles of the participants were of mixed: An Artificial Intelligence specialist managing international projects, an Agile… Continue reading 2. PM Stammtisch: Impact of Multidisciplinary Teams and Data Scientist on Project Success
In the Project Management Stammtisch on 28-September, we covered the topic “Project Success Factors for Business Intelligence (BI) and Big Data”. The discussion was on a comparative analysis of Big Data Analytic and Business Intelligence projects from our project success study. In short, the study compared 52 demographic and project attributes. None of the organizational… Continue reading 1. PM Stammtisch: Project Success Factors for BI and Big Data
Based upon our Decision Support Project Survey, we have created a template for a benchmark comparison that can be used to share best practices or identify areas of improvement. The survey analyzed 78 projects for critical success criteria and factors and created a classification model. The classification model has been documented and peer reviewed by… Continue reading Benchmark: Business Intelligence, BigData, and Analytic Project Success
The aim of the research was to understand the success criteria for decision support projects and what influences the performance of those projects. “Decision support projects are implementation projects that deliver data, analytical models, analytical competence, or all three, for unstructured decision-making and problem-solving. They include subspecialties such as big data, advanced analytics, business intelligence,… Continue reading Survey Results: BI, BigData, & Analytic Project Success
I am doing some research to investigate success from a project perspective of the different types of decision support projects and their contribution to organizational performance. Join the effort and get a free ‘Going Agile Project Management Practices Second Edition’ ePub or Kindle book (worth 32 USD on amazon). Project managers, agile coaches, project team… Continue reading Free ‘Going Agile’ ePub for PM, BigData, Analytic or BI Survey Input by Oct., 1st
TDWI recommends the implementation of a Business Intelligence (BI) and analytic Competency Center (CC) or Center of Excellence (CoE).
By 2016, 25% of net-new BI and analytics platform deployments will be in the form of subscriptions to cloud services.
–Gartner 2014
Last week, I got my first copy of the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms. This year, I was a little disappointed in the progress in the BI market place.