In essence servitization is a transformation journey - it involves companies developing
the capabilities needed to provide services and solutions that either supplement
or replace their traditional product offerings. Recent technological advances such
as cloud computing, big data analytics, mobility and social media have enabled the
Servitization trend.
Wednesday, March 09, 2016
Friday, March 04, 2016
Definition of a service
A service is the means of delivering value to customers by facilitating outcomes customers want to achieve without the ownership of specific costs and risks.
ITIL defines services this way. It basically means that the customer gets something they want without having to bother about the supplier’s efforts to provide it. Services are stand-alone offerings, but could as well be offered with a product as a supplement.
ITIL defines services this way. It basically means that the customer gets something they want without having to bother about the supplier’s efforts to provide it. Services are stand-alone offerings, but could as well be offered with a product as a supplement.
Monday, February 08, 2016
Loading Time Affects Your Bottom Line
Loading time is important for all services. But for e-commerce it is even more directly affecting the bottom line. Here is the data that you will need.
https://blog.kissmetrics.com/loading-time/
https://blog.kissmetrics.com/loading-time/
Monday, January 04, 2016
Gartner top 10 strategic technology trends for 2016
Gartner talks about strategic technology trends for 2016!
http://www.gartner.com/newsroom/id/3143521
Tuesday, December 15, 2015
The main business drivers for going for services
The main drivers for the moving to a product service system are
to satisfy customer’s needs, to enhance the firm’s performance and to achieve
competitive advantages. The journey towards services is supposed to create a
win-win situation between the service company and their customers. Therefore
servitization can be seen as a great opportunity, but there are also many
challenges and threats in this business model.
Neely (2011), Aston (2013) and Atos (2011) all show big gains
in increased revenues for the companies that succeed. According to Atos (2011)
the main drivers for introducing a product service system are:
- Customer expectations - confirmed
by over 80% of interviewees Customers become more and more demanding and
organizations get challenged to adjust to those high standards, thus
implement customer centricity.
- Financial incentives - confirmed
by over 80% of interviewees shrinking product-based profit margins are
spurring the need for service-based revenue growth. Revenues of services
are greater than new product sale especially in times of economic crisis.
- Gaining competitive
advantage - confirmed by about 50% of interviewees Customer service has
become a competitive trump card, services are difficult to imitate.
- Marketing opportunities -
a theoretic driver (recognized by less than 20% of interviewees) use
services for selling more products. By offering services, companies get
insight into their customer’s needs. This is not yet deployed widely.
If the infrastructure of the service is set up correctly it
is easy to scale up the service with new improved functionality. It is also
easy to scale up the number of customers due the same infrastructure can serve
several users. This is called multi tenancy and is used by the most mature
service companies.
For the customer, there could be several benefits getting a
service instead of only a product:
- Better cost structure:
variable cost instead of fixed cost.
- Reduced financial risk due
to that the customer do not take the cost of failing hardware.
- Lower operating costs due
to economy of scale, but also due to more efficient operations.
- Goal are aligned due to
that supplier and customer share a common goal. Both being dependent on
that the devices and services are working properly.
Wednesday, December 09, 2015
The 10 hot consumer trends for 2016
Ericsson ConsumerLab has identified some of the most important consumer trends for 2016 and beyond
http://www.ericsson.com/news/151208-10-hot-consumer-trends_244069644_c
http://www.ericsson.com/news/151208-10-hot-consumer-trends_244069644_c
Friday, December 04, 2015
HW connected
Mobile Heights is having the best event in December 2015!
I was in the Skånetrafiken and Mobile Heights stand, presenting our project BiBo (Be In Be Out, an automatic check in check out solution that can be used in several different situations.
http://mobileheights.org/hardware-connected/
I was in the Skånetrafiken and Mobile Heights stand, presenting our project BiBo (Be In Be Out, an automatic check in check out solution that can be used in several different situations.
http://mobileheights.org/hardware-connected/
Thursday, December 03, 2015
Talking about IoT trends
Talking about the hot trends of IoT!
https://image-store.slidesharecdn.com/f8e5796f-8d38-4733-8ecc-7939487096f5-large.jpeg
https://image-store.slidesharecdn.com/f8e5796f-8d38-4733-8ecc-7939487096f5-large.jpeg
Wednesday, November 25, 2015
Gartner Identifies the Top 10 Strategic Technology Trends for 2015
Gartner, Inc. today highlighted the top 10
technology trends that will be strategic for most organizations in 2015. Always
interesting with Gartner trend analysis.
Tuesday, October 20, 2015
Software development of large systems - the first IoT project course on Lund University
My course Software development of large systems have soon finished it's first occurrence. Result is good and especially good is it to use the Internet of Things gateway MVD in the course.
Students appreciate to learn about IoT architectures, since these are the ones that we see out in industry today.
http://cs.lth.se/etsn05/
Students appreciate to learn about IoT architectures, since these are the ones that we see out in industry today.
http://cs.lth.se/etsn05/
Skånskt projekt ska ge säkra e-Hälsoappar
We will see more and more apps on prescriptions from doctors and of course it has to be secure and privacy has to be taken care of. None of the tested apps were storing data on the mobile phone encrypted and 66% sent unencrypted data over the internet. Something has to be done about the privacy in e-Health apps to make this are boom. We hope to start a project in this area very soon.
http://8till5.se/2015/10/09/skanskt-projekt-ska-ge-sakra-e-halsoappar/
http://www.biomedcentral.com/1741-7015/13/214
http://8till5.se/2015/10/09/skanskt-projekt-ska-ge-sakra-e-halsoappar/
http://www.biomedcentral.com/1741-7015/13/214
Friday, October 02, 2015
What is a service?
Product Service System (PSS) is when a firm offers a mix of
both products and services (or just services), in comparison to the traditional
focus on products. Today more and more companies are moving towards
service-driven business models. This is a trend in all industries (Neely 2011).
The trend is called Servitization of businesses (Vandermerwe 1988). The trend
is, among other things, driven by the need to avoid competing with low cost
countries on a cost alone basis.
Examples of companies moving to a product service system
are: Rolls Royce who offers air engine flight hours rather than selling jet
engines and spare parts. Husqvarna who offers a fleet management service for
managing lawn movers and other garden products to companies maintaining lawn
and garden areas (i.e. parks) from only selling physical products.
Software industry is no exception (Sultan 2014). The
software industry is changing from offering software products to offering a
“product-service system” (PSS). One of the enablers behind the servitization
trend is the emergence of cloud technology that gives servitization a much more
flexible cost structure, scalability and efficiency (Sultan 2014). Examples of
software intensive product-service companies are: Facebook, Amazon store and Twitter.
For traditional product companies very often introducing a
service is software intensive. So companies that did not use to understand or
have a lot of software engineers, now need to build up this competence. Examples
of such companies including: Husqvarna.
Another trend in the industry today is the huge amount of
data that is created today. This is among other things due to the Internet of
Things, where billions of sensors produces data streams in a never ending way. Internet
of Things is not about things, it is about services! Companies that can make a
service using the data in new creative ways, are the ones that will succeed. Value
is created by making sense of data, turning it into knowledge and meaningful
action. It’s not the parking sensor that matters, but finding a free parking
spot quickly and without frustration.
PSS can be split up to three different types:
·
Base Services: this is when the tangible product is
shipped to the customer, but additional services, such as maintenance, is
provided. One example of this is you buy a washing machine, and the washing
machine company offers maintenance on the washing machine as a service offer.
·
Intermediate Services: this is when the tangible
products is kept by the service provider. The service provider is then selling
the function of the product. The distribution and payment systems have to be
updated to suit the new business model. One example of this is Microsoft Office
365. In the case with the washing machine, now the washing machine company owns
the washing machine and sells washing hours to you. Washing machine company
provides the maintenance on the washing machine without consulting you.
·
Advanced Services: this is when a product is replaced
by a service. One example of this is answering service replacing an answering
machine. Netflix is another example, offering the service of streaming movies
and TV shows, instead of selling the DVD with the movie.
Friday, June 19, 2015
Basic SW Engineering - Essential software engineering quality principle
Description of the Scenario
The basics of software engineering has not changed a lot the
last 25 years. Of course we have seen the introduction of new paradigms like
object oriented and agile methods. But the basic principles behind quality are
still the same.
When the software in a product in a company grows from a
very small size with one or two developers to more than 15-30 developers, this
usually puts new demands on both software processes and software architecture
to cope with the increased group of developers working with the same piece of
code. Two developers can handle requirements, configuration management, quality
assurance, project planning and follow up in a more informal way than is
possible in a larger team. With a larger team a lot of communication problems
arise that do not exist when the team is smaller.
There are still three elements that are essential to
assuring good quality in the software product. These three areas (called
elements) are defined in Baker (2007). These elements are:
- Establish Requirements and Control Changes
- Evaluate Process and Product Quality
- Establish and Implement Methods to Achieve Quality (methods to build quality into products or other entities)
Establish Requirements and Control Changes includes
definition of the requirements of the product and the control of changes of the
requirements. In this area we need a process for establishing the requirements.
We also need a defined process for controlling changes of the requirements,
like a Change Control Board (CCB). The important thing is not what the process
looks like, but that there exist a process that handles the requirements in a
controlled way. The importance is on always knowing what to do and what is the
most important for the project. It can be done differently depending of which
software development model that is being followed. For instance the requirement
definition process for the Waterfall model and the Agile model will obviously
look very different, but the main importance is that the process is engineers
always know what is needed by the customer of the system, so that they can
focus on development in those areas.
Evaluate Process and Product Quality includes the definition
of the testing processes, but also the process for making sure that the
processes that are defined in the organization are being followed. Just like
within development, testing has its own test models that there has to be
decided which one to follow in this particular case. There also has to be a
routine for continuously check that the teams are following the processes
defined and if there are any problems in the current processes a way of
changing and improving the current processes.
Establish and Implement Methods to Achieve Quality (methods
to build quality into products or other entities). This area defines processes to
establish what shall be done and by whom. So development, configuration
management, project planning, project follow up and role definitions need to be
defined and put into use. You have to decide which development model to use, is
it a Plan-and-document model or a more Agile model like Scrum or Kanban? You
also need to consider how to keep track of all the artifacts that are being
developed in the projects. This is done in the configuration management
process.
We have to keep in mind that there is no proofs that a
structured and consistent usage of processes will lead to better quality
products. Gibson (2006) has studied 35 organizations and measured their
improvements on cost, productivity and quality. And have found empirical
evidence supporting the connection between these three elements and better
cost, productivity and quality.
Although there is general belief that the use of a structured,
consistent process will lead to better quality products, a number of
researchers point out that the cause and effect relationships have not been
established quantitatively. Thus, the relationship between quantitative
measures of process quality and their relationship to product quality has not
been clearly demonstrated. However, there is empirical evidence supporting our
intuitions that there is a connection, i.e., a cause and effect relationship
(Baker 2007).
The other area that will be affected by the number of
engineers working with the software system is the architecture. There will not
be a lot of problems with the architecture due to communication issues in an
organization with one or two engineers. But when the size of the organization
increases, the software architecture needs to be refactored in a way that
supports the number of developers involved in the project.
Main challenges
Here are some of the very characteristic problems that you
will see in an organization that is growing rapidly:
- The product management experience that they do not get the requirements that they have asked for.
- Even more alarming they do not get an insight into the status of the project is or when the requirements can be implemented.
- Projects are constantly slipping schedule.
- Problems delivering with quality on time.
- The software development process becomes slower and slower.
- The software organization gets a bad reputation for never finishing projects on time and always having quality problems.
When your organization experience these issues, you
probably need to implement the Essential software engineering quality principles in your organization. If your
organization is experience the problems above, then it is very probable that
you have problems with the architecture. Then your organization need a
refactoring of the architecture to better support the new number of developers
that are currently working on the code at the same time. See the architecture
scenario.
When implementing the Essential software
engineering quality principles Scenario in your organization, you need to implement the
different principles differently depending on which development method your
organization is using or plan to be using. If your organization is using a
Plan-and-Document software development processes (like Waterfall, Spiral or the
Rational Unified Process (RUP) lifecycles) or an Agile (like Extreme
Programming (XP), Scrum or Kanban) the implementation of the Essential software
engineering quality principles will be done differently.
Main Business drivers and Growing pains
The main business drivers for the Scenario Essential
software engineering principles are:
- Improvement of cost, performance and quality is needed
- Improvement of quality towards competition
- Implement a future proof architecture
When implementing dealing with problems in this Scenario,
very often companies has to deal with other drivers as well. The other drivers
are not the main drivers for this scenario, but they might be the reason that
the software organization is growing in the first place. Some examples of those
drivers are: safety standard, frequent releases to customer, selling additional
features, wider product range, ease for customers/update service, new services,
maintenance and intelligence/self-diagnostics and new markets.
Relation to other areas outside the software development organization (product management, sales, HR, sourcing ...)
There is a lot of
relations to other organizations outside software. The software
organization is due to the problems they have with the growth not considered to
be very trustworthy on delivery times and functionality. Sometimes software
organization is also considered incompetent due to those problems. It is
important to understand that the software organization has those problems not
because they are incompetent, but due to the rapid growth of the organization
without defining the new way of working. However this is possible to change, by
following the principles described in this chapter.
When introducing a
more formal process for software development it will directly affect other
departments as well. Usually other departments outside software like the
freedom that comes with the more informal process. However they do usually not
realize that the informal process might work for a couple of software
engineers, but definitely not for 20 or more engineers. So a more formal
requirement process will get some negative comments from organizations around
the software organization. Also the configuration management process defines how
software is delivered and deployed. This of course is affecting the other
organizations around the software organization, like the product management,
sales, electronics and hardware organizations.
Summary of literature study and references
- (Baker 2007) Basic principles and concepts for achieving quality, Emanuel R. Baker, Mattew J. Fisher, 2007, Software Engineering Institute, Carnegie Mellon University
- (Chrissis 2006) CMMI: Guidelines for process integration and product improvement, M. B. Chrissis, M. Konrad, S. Shrum, 2006, Addison-Wesley
- (Gibson 2006) Performance results of CMMI-based process improvement, Diane L. Gibson, Dennis R. Goldenson, Keith Kost, July 2006
Tuesday, May 12, 2015
Essential software engineering quality principles
Here is my description of the essential software engineering quality principles, or what is needed for software quality.
The basics of software engineering practices have not changed a lot during the last 25 years. Of course we have seen the introduction of new paradigms like object oriented and agile methods. But the basic principles behind quality are still the same.
When the software labor effort in a product of a company grows from a very small size with one or two developers to more than 15-30 developers, this usually puts new demands on both software processes and software architecture to cope with the increased group of developers working with the same piece of the code. Two developers can handle requirements, configuration management, quality assurance, project planning and follow up in a more informal way than is possible in a larger team. With a larger team a lot of communication problems arise that do not exist when the team is smaller.
There are still three elements that are essential to assuring good quality in software products. These three areas (called elements) are defined in Baker (2007). These elements are:
Establish Requirements and Control Changes includes definition of the requirements of the product and the control of changes of the requirements. In this area we need a process for establishing the requirements. We also need a defined process for controlling changes of the requirements, like a Change Control Board (CCB). The important thing is not what the process looks like, but that there exist a process that handles the requirements in a controlled way. The importance is on always knowing what to do and what is the most important for the project. It can be done differently depending of which software development model that is being followed. For instance the requirement definition process for the Waterfall model and the Agile model will obviously look very different. But the most important, for both models, is that the engineers always know what the customer needs, so that development can be focused to those areas.
Evaluate Process and Product Quality includes the definition of the testing processes, but also the process for making sure that the processes that are defined in the organization are being followed. Just like within development, testing has its own test models that there has to be decided which one to follow in this particular case. There also has to be a routine for continuously checking that the teams are following the processes defined, if there are any problems in the current processes and a way of changing and improving the current processes.
Establish and Implement Methods to Achieve Quality (methods to build quality into products or other entities). This area defines processes to establish what shall be done and by whom. So development, configuration management, project planning, project follow up and role definitions need to be defined and put into use. You have to decide which development model to use, is it a Plan-and-document model or a more Agile model like Scrum or Kanban? You also need to consider how to keep track of all the artifacts that are being developed in the projects. This is done in the configuration management process.
We have to keep in mind that there is no proofs that a structured and consistent usage of processes will lead to better quality products. Gibson (2006) has studied 35 organizations and measured their improvements on cost, productivity and quality. And have found empirical evidence supporting the connection between these three elements and better cost, productivity and quality.
Although there is general belief that the use of a structured, consistent process will lead to better quality products, a number of researchers point out that the cause and effect relationships have not been established quantitatively. Thus, the relationship between quantitative measures of process quality and their relationship to product quality has not been clearly demonstrated. However, there is empirical evidence supporting our intuitions that there is a connection, i.e., a cause and effect relationship (Baker 2007).
The other area that will be affected by the number of engineers working with the software system is the architecture. There will not be a lot of problems with the architecture due to communication issues in an organization with one or two engineers. But when the size of the organization increases, the software architecture needs to be refactored in a way that supports the number of developers involved in the project.
The basics of software engineering practices have not changed a lot during the last 25 years. Of course we have seen the introduction of new paradigms like object oriented and agile methods. But the basic principles behind quality are still the same.
When the software labor effort in a product of a company grows from a very small size with one or two developers to more than 15-30 developers, this usually puts new demands on both software processes and software architecture to cope with the increased group of developers working with the same piece of the code. Two developers can handle requirements, configuration management, quality assurance, project planning and follow up in a more informal way than is possible in a larger team. With a larger team a lot of communication problems arise that do not exist when the team is smaller.
There are still three elements that are essential to assuring good quality in software products. These three areas (called elements) are defined in Baker (2007). These elements are:
·
Establish Requirements and Control Changes
·
Evaluate Process and Product Quality
·
Establish and Implement Methods to Achieve Quality (methods to build
quality into products or other entities)
Establish Requirements and Control Changes includes definition of the requirements of the product and the control of changes of the requirements. In this area we need a process for establishing the requirements. We also need a defined process for controlling changes of the requirements, like a Change Control Board (CCB). The important thing is not what the process looks like, but that there exist a process that handles the requirements in a controlled way. The importance is on always knowing what to do and what is the most important for the project. It can be done differently depending of which software development model that is being followed. For instance the requirement definition process for the Waterfall model and the Agile model will obviously look very different. But the most important, for both models, is that the engineers always know what the customer needs, so that development can be focused to those areas.
Evaluate Process and Product Quality includes the definition of the testing processes, but also the process for making sure that the processes that are defined in the organization are being followed. Just like within development, testing has its own test models that there has to be decided which one to follow in this particular case. There also has to be a routine for continuously checking that the teams are following the processes defined, if there are any problems in the current processes and a way of changing and improving the current processes.
Establish and Implement Methods to Achieve Quality (methods to build quality into products or other entities). This area defines processes to establish what shall be done and by whom. So development, configuration management, project planning, project follow up and role definitions need to be defined and put into use. You have to decide which development model to use, is it a Plan-and-document model or a more Agile model like Scrum or Kanban? You also need to consider how to keep track of all the artifacts that are being developed in the projects. This is done in the configuration management process.
We have to keep in mind that there is no proofs that a structured and consistent usage of processes will lead to better quality products. Gibson (2006) has studied 35 organizations and measured their improvements on cost, productivity and quality. And have found empirical evidence supporting the connection between these three elements and better cost, productivity and quality.
Although there is general belief that the use of a structured, consistent process will lead to better quality products, a number of researchers point out that the cause and effect relationships have not been established quantitatively. Thus, the relationship between quantitative measures of process quality and their relationship to product quality has not been clearly demonstrated. However, there is empirical evidence supporting our intuitions that there is a connection, i.e., a cause and effect relationship (Baker 2007).
The other area that will be affected by the number of engineers working with the software system is the architecture. There will not be a lot of problems with the architecture due to communication issues in an organization with one or two engineers. But when the size of the organization increases, the software architecture needs to be refactored in a way that supports the number of developers involved in the project.
·
(Baker 2007)
Basic principles and concepts for achieving quality, Emanuel R. Baker, Mattew
J. Fisher, 2007, Software Engineering Institute, Carnegie Mellon University
·
(Chrissis 2006)
CMMI: Guidelines for process integration and product improvement, M. B.
Chrissis, M. Konrad, S. Shrum, 2006, Addison-Wesley
·
(Gibson 2006)
Performance results of CMMI-based process improvement, Diane L. Gibson, Dennis
R. Goldenson, Keith Kost, July 2006
Monday, April 13, 2015
Nordic IoT Hackathon
This weekend we had a good time in Mobile Heights Center on the 50 hour Nordic IoT Hackathon.
http://8till5.se/2015/04/10/hogt-soktryck-infor-helgens-hackathon-i-lund/
http://8till5.se/2015/04/10/hogt-soktryck-infor-helgens-hackathon-i-lund/
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