Articles

Author(s):

Samantha BureauJohnson

VP, PMO and BPE, BCBSNC

The Future Is Now

Many companies are making the decision to step forward and implement various forms of Digital Process Automation, namely some version of Robotics Process Automation (RPA). There is a spectrum of Automation (Exhibit 1), from simple tasks that “bots” can easily handle to Artificial Intelligence. RPA is the next generation of process automation, moving from scripts and macros, to automating repetitive activities. Companies are choosing where to jump in and how to stand up to the new business capability.

Exhibit 1

3 months ago, we all thought Cambridge Analytica was a font!!!

Author(s):

Ian Gotts

Founder & CEO, Elements.cloud

Consumers are waking up to the fact that if they can’t work out what product that a website is selling, then they are probably the product. Or at least, their data is. We’ve all known this, but probably hadn’t realized how much of our data is being harvested, aggregated and then exploited.

Every business is now a digital business and data is the lifeblood. This is a major shift over the last 10 years, but the true impact is really starting to be recognized. This transformation is a as significant as the industrial revolution, and with the same redistribution of wealth.

So, let’s first cover off which industries or areas of business are being impacted by the combined disruptive effect of cloud, social, mobile, big data. That is easy. ALL OF THEM.

The digital business

Once an Architect…

Author(s):

Simona Lovin

Director of Operations and Strategic Initiatives, Leidos

As is the case with many of us in the Business Architecture forums, my career is firmly rooted in computer science and information technology. The first few years of my professional life found me devising algorithms, designing databases and writing code for various organizations around the Washington, D.C. beltway. It was a pleasant and satisfying endeavor, well suited to my quiet disposition. Despite the unavoidable meetings with end users – which meetings never failed to throw a monkey-wrench into my carefully crafted programs – my projects tended to unfold without major heartaches while I dug deeper into James Martin’s Information Engineering, Barry Boehm’s Spiral Model for Software Development, and Barbara von Halle’s writings on data architecture and business rules.

Visual Management in Enterprise Excellence Deployment

Author(s):

Rick Hepp

Trainer, Coach & Mentoir for Enterprise Excellence, Consultant and Trainer

A “Next Level Evolution” model for Operational Excellence to integrate with Business Transformation under the broader concept of Enterprise Excellence was discussed in BPMinstitute.org article in May 2017 ¹. The impact of a standardized Stage-Gate Process for Innovation and New Product introduction was detailed in April 2018. ²

As Part of a Business Transformation and Enterprise Excellence strategy, how can the tools and techniques of Operational Excellence be integrated into Business Strategy?

A foundation package of Operational Excellence tools and techniques that should be fundamental to all Business Strategy and Transformation efforts that are part of an Enterprise Excellence deployment strategy is shown below:

BPM Maturity is Needed for Digital Business Success

Author(s):

Andrew Spanyi

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

BPM Maturity is Needed for Digital Business Success

The importance of a process orientation in driving digital business success has been recognized for some time. In the early days of digital – it was already recognized that leading companies succeed with digital by re-envisioning customer experience, operational processes and business models.

Gartner has also stressed the importance of BPM in digital transformation success and predicted that a deficit of BPM maturity may actually prevent 80 percent of organizations from achieving the desired business outcomes from their digitalbusiness strategies.

The main options for deploying digital are:

a) Find a digital tool and deploy it

Ten Essential Steps to Create an Effective Data Management Plan

Author(s):

Freddie Tubbs

Digital consultant, Academadvisor

During any kind of research project, you’re going to collect data. This data will vary depending on what you’re studying, but you will need to create a data management plan no matter what. This is because it’s vital you explain exactly how you will use data at every point during the data life cycle. Here’s ten rules that will make creating your own plan simple.

Rule 1: Understand the research sponsor requirements

The first thing you must do is find out what is needed from you from your research sponsor. Each sponsor will have slightly different needs. “Even if you’ve worked with a sponsor before, it’s always best to check to ensure they haven’t recently changed their requirements”, – says Amber Coburn, an Operation Manager at Bigassignments .

Rule 2: Identify the data to be collected

Gaining Insights from Your Process Repository

Author(s):

Prasanna Hebri

Senior Manager, HCL America Inc

“How can I get the information I need from this ocean of models? “- questioned the VP of Operations after going through the process repository built for his group. The repository had hundreds of models of different types. They were built over months of effort from Subject Matter Experts and Process / Business Architecture practitioners. He wanted to find out

What percentage of activities are automated and manual?

Which teams use a specific application?

How many teams are involved to execute a value stream?

How many people refer to models in the repository to perform their daily duties?

At what rate are different teams building these models? Etc

The information for which the VP of Operations was asking buried was in the repository – many times in multiple models. To answer each of question, the analyst may need to spend a couple of hours to go through multiple models, generate reports, analyze and then consolidate information.

Don’t Over Plan! Let the Plan Evolve for an Agile Approach

Author(s):

Joanne Carswell

Faculty Member, BPMInstitute.org, Agile SME

We all know how to plan. From waterfall, we know how to over plan. But how much planning is necessary if you are using an agile approach? Here’s an idea…try starting the first piece of a project before you have the full plan. Radical thought? Did your heart skip a beat? Here’s why this experiment might change your attitude about planning.

Enterprise Process Map (Part 1 of 2)

Author(s):

David Hamme

Managing Director, Ephesus Consulting

Documenting a process generally results in at least a 25% gain in productivity – and often even greater gains. Translating work effort into discrete steps reduces confusion, drives consistency of execution, accelerates training, and usually uncovers efficiency opportunities along the way. But it comes with a risk – the risk of improving a segment of an organization to the detriment of other areas. We call this a localized improvement.

Market Dynamics within the BPM Software Industry

Author(s):

Frank Teti

Digital Advisor / Manager, Capgemini Invent

Overview

BPM market has undergone considerable change in the past 5 years. BPM is considered a disruptive technology within all areas of business — front, back and middle office. Recently, this technology was only seriously used by very large corporations, but today smaller organizations are finding a way to incorporate it into their enterprise-wide application portfolios.

Will this trend result in “try finds agility” or are these organization in over their heads.

BPM Consulting Market

I have been consulting within the BPM industry from some time now. Initially I was exposed to the venerable BEA Systems’ AquaLogic BPM (now Oracle BPM). Being assimilated into Oracle, I got enabled with their popular BPEL engine.