Resources

Resources

Displaying 61 - 70 of 2149 resources matching your criteria.

Digital Transformation of Supply Chain through IoT, Analytics, and Automation

Contributed by:

Dr. Setrag Khoshafian , Principal and Chief Scientist, Khosh Consulting

Editors Note: DBizInstitute is excited to share this article, written by Dr. Setrag Khoshafian, with our community and in advance of his new book release. Keep an eye on our website as we share additional articles in the coming months written by Setrag, as well as a pending Meet the Author webcast to discuss his new book 'How to Alleviate Digital Transformation Debt' expected to air Fall 2021. This article was originally published on CognitiveWorld.com on December 17, 2019.

Blockchain to Valuechain

Contributed by:

Dr. Setrag Khoshafian , Principal and Chief Scientist, Khosh Consulting

The decentralized ledger technology (DLT) underlying cryptocurrencies - Blockchain - is becoming a defacto solution for many peer-to-peer applications.

Taming Entropy: From Waterwheels to Robotic Process Automation (RPA)

Contributed by:

Simona Lovin, Director of Operations and Strategic Initiatives, Leidos

In one of my earlier articles on Disruption, Innovation and the Art of Business Architecture, I made the case that the concept of entropy is highly applicable in explaining the evolution of business organizations.

Generally speaking, entropy is the measure of disorder in a closed system, and it is a concept borrowed from thermodynamics - the branch of physics that deals with the relationship between heat, work, temperature, and energy in a system.

Scaling & Sustaining Your Digital Process Automation Program - Notes from the Field

Contributed by:

Samantha BureauJohnson, VP, PMO and BPE, BCBSNC

We are a year and a half into our Digital Process Automation program and have had some very strong successes as we learn new tool sets, build our enterprise capability center for governance and stand up an Agile way of working. Year one (1) we delivered over $10M in returned value on an investment of $3M. That early success buoyed our enthusiasm and optimism. It also pushed us to strive for bigger and better successes for year two (2).

We knew maturing, scaling and sustaining the new capability was going to be our focus for year two (2). However, that early optimism had us more bullish than perhaps we should have been. We were a bit stymied on the slowing of momentum as new and different challenges presented themselves.

Here are some field notes of our journey to date. This year, as we endeavor to drive forward and unlock business value using RPA/RDA capabilities, coupled with AI for Intelligent Automation, we have stepped back to assess, adjust, and learn.

3 Key Mindset Shifts to Make Your Agile Transition Successful

Contributed by:

Joanne Carswell, Faculty Member, BPMInstitute.org, Agile SME

When transitioning to agile, the key is to shift your thinking. Here are three critical areas that you should consciously work on changing.

The Power of Stakeholder Analysis

Contributed by:

Andrew Campbell, Mr, Ashridge Executive Education

Whether I am working on a single process or an operating model, I have found that stakeholder analysis is a good place to start. It is simple to do and often gives insights that are valuable both to the design work and to the transformation work.

Take a page of paper or a flip chart, describe the thing you are designing (process or function or whole organisation) in a circle in the middle, and array the stakeholders on spokes leading away from this central circle. A stakeholder is an individual or group of individuals or organisations who are likely to be affected by the work you are doing or whose requirements will affect the work you are doing.

Ramping Up Skills for Digital

Contributed by:

Andrew Spanyi, Faculty Member, DBizInstitute.org and Managing Director, Spanyi International

EDITOR’S NOTE: DBizInstitute.org has released it first research report "Digital Business Adoption: Examining the drivers for digital business success around the world". Access this members-only report by logging in (existing members) or join DBizInstitute.org today.

Digital Business Adoption Research Report

The Digital Business Adoption Report, a members-only research report, represents the first survey by DBizInstitute.org and as such will form the baseline for future research in this area. The objective was to examine who and what is driving Digital Business Adoption as well as the expected benefits, enabling technologies and required skills for practitioners around the world. Login or join today to get your copy. In the twelve-page report you will learn:

Who is Driving Digital
What is Driving Digital
What are the Prerequisites
Fundamentals for Digital
Skills for Digital
Skills Gap

Respondents from USA, Canada, Europe, Asia and Middle East provide a global flavor to the survey.

What is Good Enough Agile Documentation?:The minimum requirements for every Agile project

Contributed by:

Jamie Cooke, Managing Director, Both Hemispheres, LLC

There is a recurring myth in the IT industry that Agile projects do not require documentation, that giving stakeholders the opportunity to respond to fully functional software replaces that need altogether. This perception (or, more accurately, this misperception) often stems from a misunderstanding of the following statement in the Agile Manifesto (https://agilemanifesto.org):

" We have come to value…. Working software over comprehensive documentation"

The creators of the Agile Manifesto have clarified this statement numerous times, emphasizing the following qualifying condition at the end:

"That is, while there is value in the items on the right, we value the items on the left more."

Creating Agility and Operational Efficiency with Decision Modeling

Contributed by:

James Taylor, Faculty Member, BPMInstitute.org and CEO and Principal Consultant, Decision Management Solutions

Decision modeling is designed to bridge the gap between business processes and the key decision-making technologies needed to transform traditional processes with digital decisioning, which typically includes both business rules management systems (BRMS) and predictive analytics. Here we’re using the term “predictive analytics” in its broadest sense, including artificial intelligence and machine learning technologies.

Decision modeling delivers the agility and operational efficiency required for a real-time customer experience while assuring the highest levels of consistency, compliance and risk management.

Why Model Decisions?