At the PMI Global Congress in New Orleans, I will present 10 to 12 techniques and practices that can be used to avoid or minimize the common challenges and problems faced in agile projects.
1 SAS Forum Deutschland 2013 mit Rekorden SAS Institute zeigte sich auf dem SAS Forum Deutschland 2013 vom 11.-12.09.2013 in Höchstform: Besucher-Rekord, nagelneues Software-Release SAS 9.4, erfolgreiche Kundenprojekte und viele hochinteressante Präsentationen und Diskussionen. Erfreulich ist die Kehrtwende weg von Marketing-lastigen und Technik-entleerten Vorträgen hin zu konkreten Lösungs- und Projektvorträgen, Hands-On-Möglichkeiten, Live-Vorführungen und sogar einem… Continue reading Business Analytics Marktführer SAS stellt Führungsposition unter Beweis
In the book “Going Agile Project Management Practices”, I describe the use of a color-coded probability and impact matrix for classifying risks. (Figure 1) Visualizing the probability, impact, and severity of risks is a great tool for engaging project team members in risk management. Figure 1 Example Risk Matrix as Excel Bubble Chart
The agile manifesto (www.agilemanifesto.org) suggests that working software should be delivered in short delivery cycles. To realize this, one of the practices that teams need is test automation.
At the TDWI Europe Conference, I gave a three-hour presentation on agile business intelligence. Therefore, I have a view on the definition and meaning of agile BI.
Of 103 respondents “…34% of survey respondents need a more agile analytics solution because of the increasing need for managers to make decisions anytime, anywhere.” — David White (Aberdeen)
On 19-June-2013 at 14:45, I will give a presentation on 25 techniques, guidelines, and skills useful for agile Business Intelligence at the TDWI European Conference. The topics for the presentation are outlined in Figure 1
Marketing is one of the departments whose effective use of business intelligence and analytics can have a direct impact on the organization’s top line revenue, a tier one-performance measure.
In my view, that BI & Analytics contribute to organizational performance with three different levels of importance. Tier 1: Business Metrics — Are we contributing to profitable revenue growth? Tier 2: User Productivity — Are we impacting the user productivity? Tier 3: IT Productivity — Are we more efficient in our IT operations? In this… Continue reading Business Intelligence & Analytics Tier 3 Performance IT Productivity
When I price a project, the last thing I want to do is inform the customer that we need additional money to deliver the same scope. It somehow defies logic to pay additional money before seeing any benefits from an initial investment. However, repeatedly this is what happens in information technology (IT) projects.