Project Management Analytics: A Data-Driven Approach to by Harjit Singh

By Harjit Singh

To deal with initiatives, you want to not just regulate schedules and prices: you need to additionally deal with growing to be operational uncertainty. Today’s strong analytics instruments and techniques might help do all of this way more effectively. In undertaking administration Analytics , Harjit Singh exhibits tips to carry better evidence-based readability and rationality to your entire key judgements in the course of the complete venture lifecycle.


Singh identifies the parts and features of an outstanding venture determination and indicates the way to increase judgements through the use of predictive, prescriptive, statistical, and different equipment. You’ll how you can mitigate hazards by way of picking significant ancient styles and traits; optimize allocation and use of scarce assets inside of venture constraints; automate data-driven decision-making techniques in line with large facts units; and successfully deal with a number of interrelated selection criteria.


Singh additionally is helping you combine analytics into the undertaking administration equipment you already use, combining today’s most sensible analytical concepts with confirmed ways akin to PMI PMBOK® and Lean Six Sigma.


Project managers can not depend upon obscure impressions or seat-of-the-pants instinct. thankfully, you don’t need to. With Project administration Analytics , you should use proof, proof, and knowledge—and get much better results.

Achieve effective, trustworthy, constant, and fact-based venture decision-making
Systematically convey information and target research to key undertaking decisions

Avoid “garbage in, rubbish out”
Properly acquire, shop, learn, and interpret your project-related data

Optimize multi-criteria judgements in huge crew environments
Use the Analytic Hierarchy approach (AHP) to enhance complicated real-world decisions

Streamline initiatives how you streamline different enterprise processes
Leverage data-driven Lean Six Sigma to control tasks extra effectively

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