By 2016, 25% of net-new BI and analytics platform deployments will be in the form of subscriptions to cloud services.
–Gartner 2014
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
Gloria J. Miller will be presenting ‘A Stakeholder Accountability Model for Artificial Intelligence Projects’ at the European Academy of Management (EURAM) Conference in the section PROJECTS & SOCIETY — T10_03 – Projects & Society & the Dark Side of Projects on Thursday, June 17th 2021 at 15:45 CEST. Have a look at the explainer video… Continue reading A Stakeholder Accountability Model for Artificial Intelligence Projects – by Gloria Miller – EURAM Conference 2021
In the Project Management Stammtisch on the 30th of November, we covered “Success Criteria for BI and Big Data.” There were two different types of criteria for Big Data Analytics projects: one area has six success criteria and the second had only one. The Business Intelligence projects also had one success criteria, which was different… Continue reading 3. PM Stammtisch: Success Criteria for BI and Big Data.
Based on our study from 2017, we built a classification model for Business Intelligence and Big Data Analytics projects. We would be interested in how well the model classifies your project, and whether the reporting information is relevant for project management. You can select “generate report” and provide your project specifications at the following site:… Continue reading Seeking feedback! #BI #Bigdata #Analytics #PMOT
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
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
In March 2014, I had the pleasure to spend the day at CeBIT, the world’s largest and most international Information, communications, and technology conference. I viewed a few exhibition stands and attended a few conference presentations. I walked away with two impressions: (1) the digitization affect every aspect of our lives and (2) the number… Continue reading 2015 trends
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.