Most organizations seem pretty happy with their processes because they support the products and services in a manner that optimizes the companies goals. Good processes, by today's measures, handle work across the functional stove pipes to link together support for that work in the most economical fashion. I hate to burst the anyone's balloon, but there is significant danger around feeling smug about these ever improving processes. Customers today are fickle and will gladly switch to another organization these days. There are steps that organizations can take, besides changing their attitude listed below:
Create Customer Journey Maps:
Organizations are encouraged to create customer maps that show the touch points between customers and each part of their organization. Customer Journey Mapping (CJM) is gaining momentum because few organizations understand all the touch points that customers have with each of their organizational units. Once the maps are created they can be compared to the processes and the goals established for these processes and organizational units. The resulting analysis can generate improvements for short term gains for the customers pragmatically and long term incremental approaches to process redesign ideally.
Perform Behavior Modeling:
It is important to understand the mood of the customer as you interact with them in addition to their journey with your organization and the processes that represent your organization. It is equally important to understand the likely outcome of your offers and actions towards your customer. Journey maps are great, but they can be super charged by modeling behavior and predicting the outcomes of your additional actions with a customer. This moves beyond rigid scripts to situational analysis and savvy responses within constraints.
http://jimsinur.blogspot.com/2014/09/behavior-modeling-key-missing-context.html
Establish Customer Advocates:
Right now there is little customer advocacy occurring on the customers behalf. Sure, you hire people who will listen and show empathy, but your employees are really not enabled to act on behalf of customers. In fact each customer touching employees are given inflexible scripts, policies and rules to enforce with profuse apologies that the customer just has to deal with the complications of organizations structures, processes and rules. While some of these constraints make sense, others are artificial and not necessary.
http://jimsinur.blogspot.com/2015/01/get-real-customer-care-and-stop-lip.html
Net; Net:
We all have stories of bad customer service, bad processes and silly rules. I would guess there are any number of times where we have been more than annoyed. Organizations are betting that it is easier for you to deal with the bad service than switch to another organization. This is a bad bet today and a worse bet tomorrow with new and differentiating processes emerging from the new digital world !!!!!
Thursday, January 29, 2015
Monday, January 26, 2015
IoT & Process Case Study: Guarding Lives
A company that provides alarm and call center based solutions for dementia patients to individual citizens, their families and local authorities is now leveraging BPM in it's solutions. This new digital technology combination now signifies a central focus for this company, who recognizes that this could represent the key to unlocking an increased quality of life, yet providing unrivalled protection for the affected citizen.
The Challenge:
This company was rapidly expanding and needed a solution which could respond quickly to their growing demands, but also one that was sensible and could support anticipated rapid growth which implies changing requirements and likely infrastructure developments. Working in a highly regulated environment such as health care, this organization invested in a robust and known underlying technology. Salesforce was selected as the heavy-duty solution for the organization and call center staff. The downside was the CRM suite could not support the fast and nimble evolving workflow processes. Processes that truly put the customer at the heart of the service provided were difficult and dangerous in highly integrated and tight application.
The Solution:
This organization implemented a BPM solution to create processes that will provide safe access to the underlying Salesforce data. Access is now provided to a partner network as well as their call center, allowing call-handling representatives to work within existing processes by providing a process layer over and above the existing architecture and solution. A solution which provides a GPS wristband to citizens affected by dementia. The wristband tracks the location of the citizen and alerts a call center, ‘Alarm Central’, should they leave the security of their pre-defined safe geo-fenced environment. Providing an effective solution requires this organization and its call-handling representatives to work with many different agencies and institutions, co-ordinating a fast, effective and safe response for patients who unwittingly may put themselves in danger.
The Results:
This service that already reduces the tax-payers cost burden while providing a safe and more considerate response to those that can often represent a significant danger to themselves through no fault of their own can now change quickly. In the country of origin, 20 to 30 dementia patients die each year when they leave their safe environment. The BPM platform allows this organization to respond to business and customer demands more easily by creating a process that is agnostic to the underlying architecture and making changes without meddling with evolving IoT and underlying systems architecture.
Net; Net:
This is true pace layering (wrapping) situation that allows for incremental "hot change" without negative impacts.
This is a highly summarized and anonymous case study provided by ManyWho
The Challenge:
This company was rapidly expanding and needed a solution which could respond quickly to their growing demands, but also one that was sensible and could support anticipated rapid growth which implies changing requirements and likely infrastructure developments. Working in a highly regulated environment such as health care, this organization invested in a robust and known underlying technology. Salesforce was selected as the heavy-duty solution for the organization and call center staff. The downside was the CRM suite could not support the fast and nimble evolving workflow processes. Processes that truly put the customer at the heart of the service provided were difficult and dangerous in highly integrated and tight application.
The Solution:
This organization implemented a BPM solution to create processes that will provide safe access to the underlying Salesforce data. Access is now provided to a partner network as well as their call center, allowing call-handling representatives to work within existing processes by providing a process layer over and above the existing architecture and solution. A solution which provides a GPS wristband to citizens affected by dementia. The wristband tracks the location of the citizen and alerts a call center, ‘Alarm Central’, should they leave the security of their pre-defined safe geo-fenced environment. Providing an effective solution requires this organization and its call-handling representatives to work with many different agencies and institutions, co-ordinating a fast, effective and safe response for patients who unwittingly may put themselves in danger.
The Results:
This service that already reduces the tax-payers cost burden while providing a safe and more considerate response to those that can often represent a significant danger to themselves through no fault of their own can now change quickly. In the country of origin, 20 to 30 dementia patients die each year when they leave their safe environment. The BPM platform allows this organization to respond to business and customer demands more easily by creating a process that is agnostic to the underlying architecture and making changes without meddling with evolving IoT and underlying systems architecture.
Net; Net:
This is true pace layering (wrapping) situation that allows for incremental "hot change" without negative impacts.
This is a highly summarized and anonymous case study provided by ManyWho
Tuesday, January 20, 2015
PEX Week 2015: Customer Excellence Through Process Innovation
As always PEX Week is filled with case studies a plenty with very few non case study sessions. There are so many case studies that it's hard to sort them all out, but here were some my favorites.
As pictured above, Michael Lee of Rolls Royce talked about their experiences of including the administration processes along with the manufacturing processes. As rigorous as RR has been in designing and manufacturing jet engines that take us everywhere safely, they were still improving all their processes in the area of quality, timeliness and costs.
Peter Fingar gave a speech on BPM and Cognitive Computing that gave a status of the next generation of AI and it's potential impact of civilization and processes specifically. He was summarizing his latest book entitled "Cognitive Computing" that was available for sale that day for the first time along with his other book on the Next Wave of BPM. Both are available on Amazon. This wins for the most scary session.
Marjorie Hook, from HP, gave the strategy that HP is using to doing a company turn-around without disrupting their customers. This is all being done over a 4 year period that includes a company split and new /exciting products surrounding storage, 3D printing and 3D scanning and replication.
Suzanne Ryder gave a presentation on how an organization, mostly made up of creatives and acquisitions were brought into consistency over time, particularly the financial related processes.
Dr Louis Blatt, of Pegasystems, gave his top ten techniques for dealing with change and disruption. He asserts that you need to prepare for disruption and lay a strong base for it. This session wins for the most pragmatic session for dealing with change. See his ten areas below:
Angel R Garcia got us all hoping with salsa music, videos and common sense approaches for applying process improvement to the creatives in Univision, a media company aimed at the Spanish speaking community until now. This wins for the most entertaining session.
Sisir Padhy, of Verizon, gave a great session on how to build an innovation center and explained how Verizon selects and funds innovative customer process efforts inside and outside of Verizon. The best slide of the day sits below and describes the multifaceted innovation center inputs.
Net; Net:
While there are still sessions to go and the PEX awards are still coming, this is the best line up at PEX Week that I have seen to date. Many of the key sessions were recorded on video and I expect there will be down stream uses.
As pictured above, Michael Lee of Rolls Royce talked about their experiences of including the administration processes along with the manufacturing processes. As rigorous as RR has been in designing and manufacturing jet engines that take us everywhere safely, they were still improving all their processes in the area of quality, timeliness and costs.
Peter Fingar gave a speech on BPM and Cognitive Computing that gave a status of the next generation of AI and it's potential impact of civilization and processes specifically. He was summarizing his latest book entitled "Cognitive Computing" that was available for sale that day for the first time along with his other book on the Next Wave of BPM. Both are available on Amazon. This wins for the most scary session.
Marjorie Hook, from HP, gave the strategy that HP is using to doing a company turn-around without disrupting their customers. This is all being done over a 4 year period that includes a company split and new /exciting products surrounding storage, 3D printing and 3D scanning and replication.
Suzanne Ryder gave a presentation on how an organization, mostly made up of creatives and acquisitions were brought into consistency over time, particularly the financial related processes.
Dr Louis Blatt, of Pegasystems, gave his top ten techniques for dealing with change and disruption. He asserts that you need to prepare for disruption and lay a strong base for it. This session wins for the most pragmatic session for dealing with change. See his ten areas below:
Angel R Garcia got us all hoping with salsa music, videos and common sense approaches for applying process improvement to the creatives in Univision, a media company aimed at the Spanish speaking community until now. This wins for the most entertaining session.
Sisir Padhy, of Verizon, gave a great session on how to build an innovation center and explained how Verizon selects and funds innovative customer process efforts inside and outside of Verizon. The best slide of the day sits below and describes the multifaceted innovation center inputs.
Net; Net:
While there are still sessions to go and the PEX awards are still coming, this is the best line up at PEX Week that I have seen to date. Many of the key sessions were recorded on video and I expect there will be down stream uses.
Monday, January 19, 2015
Complexity Collaboration Will Deliver to Business Down the Road
Sometimes as a thought leader, you have to get out on the edge a bit, to peer over the cliff. Well last Friday I attended an all day session announcing a collaboration between Arizona State University (ASU) and the Santa Fe Institute (SFI). What I saw is encouraging. First of all we have a famous institution (SFI) that has linked with business in the past on various topics collaboration linked with one of the largest Universities in the country. A university that has a strong IT bent along with many other schools. Announcements are one thing, but attitude is another. I was encouraged by the vision of bringing these two fine organizations in cooperation.
What ASU Brings to Bear?
Michael Crow, the president of ASU, wants to fight the piety of typical universities and link them to other institutions for leverage. He also wants to link to real business and primary education tributaries. Michael has committed resources and heads of individual schools to leverage SFI and complexity specifically to deal with the emerging problems that business faces today.
What SFI Brings to Bear?
Jeff Sabloff, the president of SFI, wants to leverage the already mature research in complexity theory and other areas of research and plug these emerging research areas closer to the leaders and teachers that link to the ASU biosphere. His associates are already working with several heads of ASU departments.
The Proof Will Be?
ASU and SFI put a number of their smart folks on the podium to proclaim fertile areas of effort that they expected to pursue. This elite panel proclaimed any number of areas for collaboration and progress. These area were all dealing with growing complexity issues and felt they needed to collaborate. while I will list some of the areas, the proof will be when the collaborations bear fruit in terms of papers and actual use by other communities in the business and primary education worlds.
Example Fertile Areas of Innovative Cooperation:
City Architecture
Visualizing and Animating Areas of Science
Adaptive Processes and Computing Systems
Medicine in Following and Treating Adaptive Diseases
Ecology
Sociology
Generating Art & Music
Net; Net:
It is refreshing to hear academia wanting to cooperate to push complexity forward as the world tackles more emerging and adaptive situations. Normally I don't trust academia because of the piety you find there, but this one looks real good. I will be following closely as I am a big supporter of SFI and am seeing managing emerging processes as a growing challenge. I stayed the whole day, even though expected to run away around lunch time. For a person with ADD, that is saying something. We will see if my BS meter goes off over time :)
What ASU Brings to Bear?
Michael Crow, the president of ASU, wants to fight the piety of typical universities and link them to other institutions for leverage. He also wants to link to real business and primary education tributaries. Michael has committed resources and heads of individual schools to leverage SFI and complexity specifically to deal with the emerging problems that business faces today.
What SFI Brings to Bear?
Jeff Sabloff, the president of SFI, wants to leverage the already mature research in complexity theory and other areas of research and plug these emerging research areas closer to the leaders and teachers that link to the ASU biosphere. His associates are already working with several heads of ASU departments.
The Proof Will Be?
ASU and SFI put a number of their smart folks on the podium to proclaim fertile areas of effort that they expected to pursue. This elite panel proclaimed any number of areas for collaboration and progress. These area were all dealing with growing complexity issues and felt they needed to collaborate. while I will list some of the areas, the proof will be when the collaborations bear fruit in terms of papers and actual use by other communities in the business and primary education worlds.
City Architecture
Visualizing and Animating Areas of Science
Adaptive Processes and Computing Systems
Medicine in Following and Treating Adaptive Diseases
Ecology
Sociology
Generating Art & Music
Net; Net:
It is refreshing to hear academia wanting to cooperate to push complexity forward as the world tackles more emerging and adaptive situations. Normally I don't trust academia because of the piety you find there, but this one looks real good. I will be following closely as I am a big supporter of SFI and am seeing managing emerging processes as a growing challenge. I stayed the whole day, even though expected to run away around lunch time. For a person with ADD, that is saying something. We will see if my BS meter goes off over time :)
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Thursday, January 15, 2015
Valentines Day is Coming; Don't Forget
For four years now I have been struggling to create a fractal in the shape of a heart for the love of my life. Well I finally accomplished the feat and Sherry was thrilled. It now hangs in a prominent place in our house. This image below is for sale, in a limited set, if you want to get a warm reaction with an affordable piece of art. This can be fused on metal for high visual impact or put on canvas for a warm and textured feel. I can be reached at jgsviper@cox.net or you can see other works at:
Tuesday, January 13, 2015
Striking the New Work Balance Between Man & Machine in the IoT
A challenge faces us for the rest of this decade and the next. "How will we balance work between man and machines" and how will they cooperate. Depending on whose numbers you believe, there are going to be tens of billions of new things to deal with in the growing machine world. This begs a number of interesting questions. How are we going to manage them or will they manage us? If we give more work to things and machines, what happens to the people and the people / machine interface when they share work? I don't pretend to have the answers, but I see a big role for processes, policies and constraints in the future working together. I'd like to start out the discussion by identifying a number of new things for processes to interact with in the next few years, I have classified them into two areas to help me understand and differentiate the IoT. One for Things / Bots and the other for Learning Machine Intelligence.
Things / Bots:
The basic difference between things and bots is the amount of planned logic that is embedded in them. This is where humans have added logic for predictable responses and have pre-programmed them to take appropriate actions based on precursor data or situations. I've listed them in level of rather static and planned intelligence with an example. For this example I will use a blind spot detection system on many modern vehicles.
Sensors / Sensor Clusters Sensors aimed at blind spots
Pattern Detectors (planned) Determine of another vehicle is close enough to threaten
Communication Controllers Fire a set of warning devices alarm
Agent Hubs Determine if the drivers eyes are aimed at the visual warning
Robots Vibrate the seat of the driver and advise a monitoring org
Learning Machines/ Systems:
The basic difference between things/bots is that the intelligence used is determined in real time and my not have been planned (emerging). This is where conditions and actions can be determined as they occur and rely on the interaction of machines and people together. For this example I will use a human stock trader that is supplied a workbench of active features, software and intelligence.
Business Intelligence Report market trends in light of portfolio and yield goals
Big Data Poly-Analytic Run in flight analysis of stocks in context of yield & mix
Pattern Detectors (emerging) Sense interesting patterns that might need the traders attention
Machine Learning Note reports, analytic and patterns of interest to the trader
Personal Assistants / Agents Buy and sell personal assistants give advice on trade options
Net; Net:
Our challenge over the next few years is how to manage all these new capabilities (or let some of them self manage) and how to get people comfortable with interfacing with them and building trust. Really trust that they can assist us and can do a portion of management by themselves. In some cases they will be taking work that is not appeal to us or we are not capable of doing in a real time fashion ourselves. This is an evolutionary revolution that we will all be learning how to deal with in the work place, in our cars, in our houses, with our appliances and all together. I believe that process, policy, decision, agent and constraint technologies will have to work together in new ways to get into advanced levels of comfort, productivity and trust.
Things / Bots:
The basic difference between things and bots is the amount of planned logic that is embedded in them. This is where humans have added logic for predictable responses and have pre-programmed them to take appropriate actions based on precursor data or situations. I've listed them in level of rather static and planned intelligence with an example. For this example I will use a blind spot detection system on many modern vehicles.
Sensors / Sensor Clusters Sensors aimed at blind spots
Pattern Detectors (planned) Determine of another vehicle is close enough to threaten
Communication Controllers Fire a set of warning devices alarm
Agent Hubs Determine if the drivers eyes are aimed at the visual warning
Robots Vibrate the seat of the driver and advise a monitoring org
Learning Machines/ Systems:
The basic difference between things/bots is that the intelligence used is determined in real time and my not have been planned (emerging). This is where conditions and actions can be determined as they occur and rely on the interaction of machines and people together. For this example I will use a human stock trader that is supplied a workbench of active features, software and intelligence.
Business Intelligence Report market trends in light of portfolio and yield goals
Big Data Poly-Analytic Run in flight analysis of stocks in context of yield & mix
Pattern Detectors (emerging) Sense interesting patterns that might need the traders attention
Machine Learning Note reports, analytic and patterns of interest to the trader
Personal Assistants / Agents Buy and sell personal assistants give advice on trade options
Net; Net:
Our challenge over the next few years is how to manage all these new capabilities (or let some of them self manage) and how to get people comfortable with interfacing with them and building trust. Really trust that they can assist us and can do a portion of management by themselves. In some cases they will be taking work that is not appeal to us or we are not capable of doing in a real time fashion ourselves. This is an evolutionary revolution that we will all be learning how to deal with in the work place, in our cars, in our houses, with our appliances and all together. I believe that process, policy, decision, agent and constraint technologies will have to work together in new ways to get into advanced levels of comfort, productivity and trust.
Monday, January 12, 2015
Process Management Providing Better Customer Service in Manufacturing
This is a case of an orthopedic manufacturer getting the
best of both worlds, better customer service and saving costs. While customer
service was the going-in goal, there were additional monies added to the bottom
line of the company.
The Challenge:
Increase customer feedback capture by 100 percent while
decreasing resolution time by 60 percent in a company that had grown by
acquisition and had a complicated product mix. The growth of this complexity
was robbing R&D and customer service from customer feedback and was
extending resolution times.
The Solution:
Customer processes were presented to various stakeholders
for early feedback and buy-in. Prototypes were completed with Microsoft
technologies in parallel with processes being crafted in an intelligent
business process management suite (iBPMS). This allowed the early feedback to
be incorporated in the ultimate processes as the project progressed to
completion.
The Results:
The results were impressive in that not only money was saved
but time was shaved off of every process over time. Examples of real benefits were as follows:
The registration process was reduced from five minutes to
one minute
There was a 70% reduction in resolution time in the
inspection process
Order entry time was reduced by 20%
Inventory carrying costs were reduced by 13%
Payroll per shipment was reduced by 10%
Net; Net:
The deceptive part of process improvement is that you think
you are only going to get one benefit, but more times than not it is a set of
benefits that flow out of having the better processes. Resulting BPM visibility
combined with “hot change” can deliver deeper benefits over time. Not to
mention the use of “hot change” during development of the actual
processes. There is no excuse to dodge
process benefits.
This is a highly
summarized case study provided by PNMsoft The client has given PNMsoft permission to publish, so if you want more detail see the following link
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