Solving the Dynamic Complexity Dilemma (PDF)
37 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Dynamic complexity results from hidden, unknown factors-or more precisely, interactions between factors-that can unexpectedly impact the performance of systems. When the influences of dynamic complexity are not measured and understood, new never-seen-before behaviors can come as unwelcomed surprises, which disrupt the performance of systems. Left alone, processes that were once prized for their efficiency unexpectedly begin to degrade-costs increase, while volumes and quality decline. Evidence of problems may come too late for effective resolution as technology advancements induce rapid change and compress the time available to react to that change. The results of dynamic complexity are always negative and unmanaged dynamic complexity can bring business or global systems to the point of sudden chaos. The 2009 H1N1 pandemic, 2008 Credit Crunch and 2011 Fukushima Daiichi nuclear disaster are global examples of the dangers of undiagnosed dynamic complexity.
With increasing frequency executive leaders today are discovering that their business and IT system performance levels are not meeting expectations. In most cases these performance deficiencies are caused by dynamic complexity, which lies hidden like a cancer until the symptoms reveal themselves-often when it is too late to avoid negative impacts on business outcomes. This book examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve betterpredictability, organizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. The book authors promote new methods of risk management that use data collection, analytics, machine learning and automation processes to help organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are based upon the authors' practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.
He is a valued former Doctorate Fellow of the European Space Organization; former Data Processing Director and Advisor for the French Atomic Energy Authority; and former CTO of First Data. Dr. Abu el Ata is also an advisory board member of the European Strategic Program for Research in IT; a Steering Committee member for European Programs: Pyramid, Europicon and Itaqua; an advisor to CLS, Deutsche Bank, First Data and BNPP and an advisory board member of French Employment Organization, French Ministry of Finance, French Postal Services, one of France's largest banks (Credit Agricole); an External Professor for a number of universities in France, the UK, and the US; and Laureate of ComputerWorld Honors 2008.
Dr. Maurice J. Perks, Board Technology Adviser Accretive Technologies Dr. Perks joined IBM in 1968 as a Systems Engineer. Over the span of his 44-year career with IBM, Dr. Perks specialized in the design of IT systems for large organizations. He is a world authorityon the development of IT systems
- Autoren: Nabil Abu el Ata , Maurice J. Perks
- 2014, 2014, 281 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642543103
- ISBN-13: 9783642543104
- Erscheinungsdatum: 12.08.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 6.58 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Solving the Dynamic Complexity Dilemma".
Kommentar verfassen