Digital Business (DBiz)

Beyond Dashboards – Predictive Analytics and Decision Management

Practitioners in our field have long been evangelizing on the critical link between decision management and predictive analytics. As James Taylor accurately and succinctly stated “Decision Management operationalizes predictive analytics. Traditional approaches to analytics are hard to scale and hard to use in the real-time environment required in modern enterprise architectures.”

On cue I noted with great interest several writers predicting analytics trends for 2016. These included:

The BPM-Discipline: The Strategy Execution Engine for the Digital World

As a recent research study of The Gartner Group shows , only 13% of business meets their strategic goals [1]. This means 87% of organizations prepare strategic plans and related objectives —but they don’t deliver on their strategy, at least not fully. This situation will get even more challenging with the intensifying digitalization and the adjustment of strategies to this trend. Less than 1% of companies have prepared their business processes to realize the potential of our digital world according to the same study. Hence the risk of not executing successfully on a business strategy incorporating the opportunities of digitalization becomes even higher. A just release study by BPM-D, Widener University and the Universidad de Chile demonstrates that over 55% of companies have issues finding the right opportunities to benefit from digitalization or struggle with the resistance to change and the slow decision making [2].

Business Process in a Digital Ecosystem

What stories do you tell others about the early days of computers, before their capacity to process and store information vastly expanded? Do you express amazement at the fantastic state of current digital technology? What about the down sides? Do your stories also include the inconsistencies within applications that frustrate us all? Do you speak about the enormous cost and time required by software engineering processes to develop and maintain systems?  Do you comment on the complexity needed for systems to communicate with other systems? 

Low code apps: the future or nightmare

Low-code apps are maturing and being adopted in more and more corporations - often taken in by the business users.  IT often sees them as threat and a risk.  But they can help IT and make them able to be more reactive and supportive to the business users' needs. But, are they too much power in the hands of citizen developers who are fragmenting the IT architecture?  However, cloud low code apps mean that IT will struggle to control their growth/usage. This article explores the pros and cons and the right reaction from the CIO.


The business is now in control
Now that every organization is dependent on technology, Line Of Business(LOB) management are more aware of the capabilities and potential for technology to drive transformational change before their business is undermined by a more nimble, technology enabled start-up.

Building Smart Processes with Analytics (via Decisions)

Decisions inject Analytics smartness into Processes, making the processes smarter. 

Now that we have automated most routine processing using some programming logic and some basic rules, the next competitive frontier is making these processes adapt dynamically to changing conditions and unforeseen situations - and learning from each such situation. Processes with such sophisticated dynamic behavior are smart processes.

Smart behavior cannot be programmed into the processes without causing unmanageable complexity and catastrophic brittleness. In any case, such ‘programmed’ processes cannot ‘learn’ by themselves. Additional knowledge has to be physically programmed into the process.

So instead of trying to make the process smarter, the focus should be on making the embedded decision smarter - through automation using decision management technologies available today.

Smart Processes are really Smart Decisions

Why Big Data Needs BPM

Big data and related topics like the IOT (Internet of Things) are always big topics of interest in large forums. So it was the case in CeBIT 2016, Hannover which I was fortunate enough to attend.  There were several talks on Big Data - Digital Disruption was the theme, and there was general consensus that Big data was here to stay and grow phenomenally. People were moving from basic reporting and visualization of data (Data discovery and understanding) to a phase where predictive analytics would rule. This was because of the huge strides made in the fields of Machine Learning and artificial Intelligence. One of the keynote speakers in CeBIT was Professor Nick Bostrom founding Director of the Future of Humanity Institute at Oxford. An extremely impressive speaker and futurist, I was blown away with the vision he had for the future. He spoke passionately that the time for Artificial Intelligence has finally arrived and what it means for society at large.

Meet the Author: David Hamme, Customer Focused Process Innovation

Author of Customer Focused Process Innovation: Linking Strategic Intent to Everyday Execution

For any organization to prosper, its leadership must drive bottom line results, expand the product offerings, and identify opportunities to better strategically position the organization. But all too often they look to trendy business practices or copy the competition. They don’t know the answers to basic questions: How do things really work and fit together in this organization? What does the customer really want from us? Who really does what and where do I fit in? How can I move the ball forward? Without these answers, the organization’s innovation capabilities are limited.

Webcast Date: 
Wed, 04/27/2016 - 00:30

A (Compressed) Day in the Life of a Business Analyst – Part 1

This is the first of a two-part look at a “Day in the Life” of a Business Analyst (BA). It’s broken into hours as a simple way to illustrate the myriad duties and skills that a BA needs to have, but in real life the process described below would take weeks, months, or possibly years, depending on the size of the effort. And, as every BA knows, there’s no such thing as a typical day – or even a standard job description. We’ll look here at the phases that every effort has, and tools that every BA needs. 

Business Process Management Trends & Observations

Business Process Management Research Report:
Check out the future of BPM and see how your organization stacks up.

Research conducted by global market research company, TNS Global, shows that while BPM is delivering key benefits in both the public and private sectors, a large number of organizations still struggle to keep processes documented or up to date.

Download this BPM research whitepaper
to see how your organization compares and get valuable insights into future BPM investment benchmarks, the level of BPM resourcing within organizations, common barriers to process improvement and the role BPM plays in helping businesses achieve their organizational goals.

Amplifying BPM with Customer Experience and Design Thinking

In the modern Digital world, Customer Experience is a critical factor for success in BPM. Organizations can apply Design Thinking framework to map the right emotional innovation factors and succeed in the BPM transformation.

Amplifying BPM with Customer Experience and Design Thinking

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