Avoiding the Failure Chasm: Gaining The Most Value Possible From Digital Transformation

Whether you are a CEO, a CIO, a CTO, a CMO or the head of Customer Experience, Customer Service or Digital Transformation, you know software can be an amazing invention. It can be part of the key to digitally transforming your businesses in so many ways. In fact, here’s just a few of the ways digital transformations can take shape…

Digital Transformation and Software can help in the area of human capital by:

  • Increasing employee engagement, creating a passionate culture, increasing productivity and motivation
  • Attracting the top talent, making your organization the sought after place to work and an awesome culture to be envied
  • Reducing attrition of talent you want to keep to make sure you are able to produce the best possible business results.

Digital Transformation and software can help business generate revenue by:

  • Developing incremental innovation of products or services from receiving feedback from employees and customers
  • Co-creating new products with input from customers and employees
  • Developing new business models by creating new products and services that didn’t exist in the company’s line of business
  • Generating new applications and uses for existing technology, products & services, i.e., moving them from the core business and finding adjacent/new markets
  • Increasing the customer lifetime value, i.e., increasing the amount and frequency of purchases per customer over the lifetime of a customer
  • Increasing customer acquisition by increasing market awareness of the company, it’s products and services by engaging customers and brand ambassadors through delivering content at the top, the middle and the end of the funnel through two-way texting, email, digital ads, banners, digital and social media… and
  • Increasing the brand’s equity, reputation and preventing a PR crisis and brand intervention projects and so much more…

Digital Transformation and software can help business reduce costs by:

  • Creating new products and services with more agile processes (vs. waterfall processes)
  • Improving an exiting process or eliminating redundant processes / steps
  • Reducing the cost of products or services that fail in the marketplace because now they have feedback from customers and employees way before the product hits the market
  • Reducing the cost of bugs or flaws in the product or service because of using more agile processes and outcome-based thinking
  • Reduction in contact center costs by increasing first contact resolution (FCR) by using the most innovative ways to engage customers and
  • Reduce customer churn by increasing customer satisfaction by better customer experiences and hence increasing customer retention….

Why Do Company’s Fail At Digital Transformation?

So just from that short list it’s clear there are so many ways software can enable a business to function at it’s very best. However, there is something that can get in the way of the effectiveness and efficiency of the actual software’s ability to deliver on the promise. What might that be? If the software is good, then it’s not the software. So what is it? How can you realize your company’s vision through digital transformation when over 80% of digital transformations fail. Nobody wants to spend the time, the money and the effort getting a project approved, implementing it only to find a year or five later that it didn’t produce the results it was supposed to. But surprisingly, this still does happen. Some of those reasons include:

  • The absence of a clear plan to achieve digital transformation
  • Lack of alignment between business and IT
  • Legacy systems
  • Siloed data
  • Gaps in talent and skills
  • Cultural resistance to change and
  • Group think (seeing the problem from the same perspective.)

How Smart Companies Are Avoiding the Digital Transformation Failure Chasm

Smart leaders need all the efforts of all their employees, as well as, feedback from their customers so they don’t fall into the digital transformation failure chasm. However, often times they are so busy doing what they have always done, they they might not see a new way of looking at things. That’s where another pair of eyes or hands or even a team can help. You’ve experienced this probably yourself. You are trying to solve something. You feel you’ve looked at it hundred different ways and nothing really new comes about. You might even show a friend or a team mate and they are stuck, too. Why does this happen? You are not alone. In fact, it’s quite common.

1962, Abraham Kaplan, then a Professor of Philosophy, was giving a speech to scientists in which he urged scientists to carefully consider their methods for their research. He emphasized that – just because certain methods happen to be handy, or one has been trained to use a specific method or trained to look at a problem from a certain perspective -it doesn’t mean that that method will produce the best outcomes. Sometimes people formulate problems that reach solutions by using those techniques they are especially skilled in. In other words, we tend to formulate our problems in ways that make it seem the solutions to those problems demand precisely what we already happen to have at hand. In Abraham Maslow’s The Psychology of Science, published in 1966,  stated, “If all you have is a hammer, everything looks like a nail.” The issue is the reliance or over-reliance on the familiar or the habit of using the same perspective.

Taking this concept into software development and implementation, José M. Gilgado, wrote a law  that is still relevant and highly applicable in 21st century. He observed, often times software developers and implementors, “tend to use the same known tools to do a completely new and different project with new constraints.” Why? They blamed it on what he calls the comfort zone, a state where we don’t want to change anything to avoid risk. What’s the problem with using the same tools every time? We get good at those tools and we like using what we are good at, right? The issue can become that you don’t have enough diversity when discussing the problem (because you are using the same perspective you’ve always used) so the exchange of diverging or opposite views is limited and the choices to look at the problem from different points of view are limited because there’s nothing new to compare it to. What would be better if is… to look for the best possible choice with varying perspectives, even if we aren’t very familiar with them. But we rarely do that. Rather, we fall into group-think.

There’s some very interesting research by a professor at the University of Michigan, Scott E. Page who studies complexity theory. In his book, The Difference, he shows how the power of diversity creates better groups, firms and business outcomes. We all differ in how we see and interpret the world. How we code things is our “perspective.”  Scholars from a variety of disciplines have studied how people and groups make breakthroughs. The bottom-line? Encouraging and working with diverse perspectives. For example, do you know how pins came to be manufactured? Adam Smith ran one of the first brush factories. Someone saw that the bristles could be cut off and made into pins. That’s what I mean about seeing things differently. Most people would have looked at a brush factory and saw a brush factory. But the first pin factory was imagined by seeing that diverse perspective – seeing the world differently – seeing the world as a forest of pins – provided the seeds of innovation.

What does your team need? You’ll want to engage and partner with a new set of diverse senior advisors and specialists who are dedicated to your success, who use unrivaled expertise, processes and methods to make your business more agile. You’ll want to make sure they are the kind of people who thrive on guiding your team so your team learns the key principles to create and sustain change. And you’ll want to choose the most powerful technology platform to be the basis to fuel your transformation for today and far into the future. With all of that, and a collaborative team culture you can:

  • Align key leaders around a digital transformation strategy
  • Implement the right framework to move forward
  • Create the agility needed in today’s digital environment and
  • Adopt new technologies faster to keep pace with change.

Often it is –outside, diverse points of view– that are just what is required to steer you clear of the failure chasm, and instead have an immersive engagement based on a proven approach that combines people, expertise, culture, and technology. You want to be working with people who are uniquely able to help a business realize their visions and co-create the future by:

  • Exploring the art of the possible by
    • Leading with out-comes based thinking (OBT begins with defining a desired outcome, no matter how bold or provocative. It’s fundamentally different from problem solving, which looks at the current state and attempts to improve it)
    • Inspiring design-led thinking (instead of solving a problem, your team becomes solution-focused and action-oriented towards creating a preferred future)
    • Testing new strategies (vs. setting a plan and sticking to it for a year and then realizing they’ve wasted a year or more on something that isn’t going to work; maybe even trying a little experimentation to see if something could even work)
    • Sparking agility throughout the organization, igniting the whole culture’s motivation in whole new ways, giving them a renewed sense of purpose and outlook on the future and feeling they have the dream job and a reason for showing up other than a paycheck!
  • Building your digital capabilities by
    • Improving your operating model (and maybe even shifting the revenue model to something you’ve never considered, but it was the innovation that was needed to grow the company exponentially)
    • Growing the competitive advantage; as the Blue Ocean Author’s would say, you’ll want to create new, uncontested market spaces making the competition irrelevant
    • Stimulating breakthrough ideas that transform business as usual and
  • Creating sustainable transformation by
    • Creating a customer-first culture
    • Managing complex changes and
    • Continuing the processes required to innovate, iterate, pivot and grow.

How do you find such a group? Look at their DNA. Is it digital? Are they a natively global, mobile, social, cloud, community-oriented company? Are they trusted advisors who put the customer first and teach them to fish? Do they experiment, try new things, iterate and pivot quickly when it doesn’t work and tweak things till they hum? Do other companies desire to be like them and wonder what technology they use to be so innovative and wonder how is it, they do what they do? Are they super customer focused? As my friend and colleague, Peter Coffee would say, “Do they create a sense of urgency, hope and glory? Or conviction, belief and desire in your team? Are they all about (and seriously about this, it’s not just some words on a website or a brochure) connection, collaboration and innovation?” If you want to learn more about how one group guides business through digital transformation, here’s more info on that!

Until next time, here’s to realizing your vision and the best possible future for your company, your employees, your stakeholders and the planet. It’s all of our jobs to make the world a better place. And what better place to do that than starting with businesses? That’s where people spend a great deal of their time! So make it a fabulous experience for employees and the customers will feel the love. You will be their go to source for all your customer’s products and services. Don’t give them reasons to leave you, Give them reasons they can’t possibly give you up. Because… at the end of the day, that is what drives customer lifetime value. No customers, no business. It’s really that simple.

@DrNatalie Petouhoff

VP, Program Executive, Innovation and Transformation Center, Salesforce.com

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Want to Know More About Machine Learning and AI?

Wondering whether you should invest in AI and Machine Learning? That’s a question that the most innovative companies are considering. Why consider it? One good reason is because your competitors have already started. If that doesn’t give you some reason to get motivated, I hope you get started before you are put out of business. To make sure that doesn’t happen, there are  a few things to consider to help you start to explore an investment in machine learning.

It’s the Data, Stupid

Of course, as with any business initiative, you’ll want to create value. And this can be done using machine learning systems. But for those systems to provide value, companies will need to begin by evaluating their organization’s data maturity, but more importantly their readiness to accomplish its data-driven goals. Company’s need to start with an audit of their data warehousing, data scientific research capabilities, data governance and data hygiene. In addition, it’s important to look at the sources, uses, volume, and veracity of all your date, meaning your first-, second-, and third-party data.

Garbage in, Garbage Out

Why is making sure your data so clean? Machine learning is basically taking a computer and making it smart enough to learn from the data it’s fed. We are essentially programming machines to learn. The goal is that after a certain point of time, the computer is able to predict further data. How so? Let’s pretend you want to make your computer predict the weather. So to begin, you might feed the computer weather reports of every hour of every over the past year. What you might end up with is– because the temperature (z) depends on day of the year (x) as well as the time of the day (y), more than two-dimensional curve. In fact, weather is random, so the equation generated by the computer won’t just have 3 variables (x, y, z), it may also have higher powers. So depending on the number of factors in a prediction and the randomness of the outcome, the complexity of the curve can increasingly get more complicated.

So back to the data… And I know you know the story about data: garbage in, garbage out. So hopefully, now you see can why good, clean data is so important to prediction. As the computer is taking the data you feed it to make future predictions, those predictions dependent on the data you are feeding it. So you want the very best data possible. And it takes super computers which are capable of handling large volumes of data, as well as the ability to learn fast and to make fast decisions based on the learning it under goes.

AI and ML Are Not The Same

Often times Artificial Intelligence (AI) and Machine Learning (ML) are used interchangeably. But they are actually different. Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart.” Machine Learning is the application of AI based on the idea that we should be able to give machines access to data and let them learn for themselves. Artificial Intelligence devices (devices designed to act intelligently), are often classified into one of two groups: 1) applied and 2) general.

Applied AI is far more common. Applied AI is about systems designed to intelligently trade stocks and shares or drive an autonomous vehicle. Generalized AI is may up of systems or devices that, in theory, can handle any task. And are less common. However, this is where some of the most exciting advancements are happening today.

Deep Learning is A New Area of Machine Learning Research

It was introduced with the objective of moving Machine Learning closer to one of its original goals: that of being Artificial Intelligence. So essentially Deep Learning is a subfield of machine learning concerned with the algorithms inspired by the structure and function of the brain called artificial neural networks. Deep learning has worked it’s way into business language via Artificial Intelligence (AI), Big Data and analytics. Deep learning is an approach to AI which shows great promise when it comes to developing the autonomous, self-teaching systems which are revolutionizing many industries.

The Two Big Ideas: It May Be Possible To Teach Computers to Learn and The Internet is a Source of a Ton of Data

Arthur Samuel, in 1959 is credited as the one who came up with the big idea that it might be possible to teach computers to learn for themselves. That would be in contrast to teaching computers everything they need to know about the world and how to carry out tasks. The second big idea was that the Internet, with huge increase in the amount of digital information being generated, stored and could be used for analysis. So the scientists and engineers realized it would be far more efficient to code computers to think like human beings, and then plug them into the internet to give them access to all of the information in the world.

Neural Networks Are Algorithms

Neural networks are a set of algorithms, modeled loosely after the human brain and designed to recognize patterns. The development of neural networks has been key to teaching computers to think and understand the world in the way we do, in addition to the innate advantages they hold over people such as speed, accuracy and lack of bias. So a Neural Network is a computer system that classifies information in the same way a human brain does. It can be taught to recognize, for example, images, and classify them according to elements they contain. It works on a system of probability – which means that based on data it’s fed, it is able to make statements, decisions or predictions with a degree of certainty. The addition of a feedback loop enables “learning” – by sensing or being told whether its decisions are right or wrong and then can modify the approach it takes in the future.

What Can Machine Learning Applications Do?

Machine Learning applications can read text and work out whether the person who wrote it is making a complaint or offering congratulations. They can also listen to a piece of music, decide whether it is likely to make someone happy or sad, and find other pieces of music to match the mood. They can even compose their own music expressing the same themes, or which they know is likely to be appreciated by the admirers of the original piece.

These are all possibilities offered by systems based around ML and neural networks. The idea is that we should be able to communicate and interact with electronic devices and digital information, as naturally as we would with another human being. And another field of AI – Natural Language Processing (NLP) – has become an exciting area of innovation in recent years, and one which is heavily reliant on machine learning. (And yes, my initials just happen to be NLP, but that doesn’t really mean anything… just a happy coincidence…)

Where is Used?

Take Google for instance. Google is using it in its voice and image recognition algorithms. It is also used by Netflix and Amazon to decide what you want to watch or buy next. And it is also being by researchers at MIT to predict the future.  While Machine Learning is often described as a sub-discipline of AI, we might look at Machine Learning as the state-of-the-art of AI. Why? Perhaps because it is showing the greatest promise to provide tools that industry and society can use to drive change.

More on the practical uses of AI and ML in the future. For now, noodle on that!

@drnatalie

VP, Program Executive, Innovation and Transformation Center

 

 

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Innovation & Disruption In Delivery: Could Your Next Amazon Delivery Be By a Drone?

Ever Had a Package Delivered Late, Not at All Or To the Wrong Address?

One of the most irritating issues with ordering online is whether the package gets delivered and to the right address and on time. I know I’ve experienced this a number of times and what’s interesting is that, as customer’s we don’t always think about the delivery service as the issue, but rather it reflects poorly on the company we by the product from. How to fix this customer experience issue? One option is to deliver packages to consumers’ homes using drones. Could this allow companies to bypass the challenges with that last step of the delivery? It might be for delivery to people’s homes. It might not work at apartments, though, because the drone can’t get into the apartment building. Or can it?

What customers may not know is that the last leg of the delivery is the most expensive and inefficient part of parcel delivery. Customers don’t often think about that the product has to go from a store or warehouse, to the shipper’s delivery center and then from there, be deployed to the customer’s address. It is often not the place you bought the product from that is having the issue. It maybe who their delivery service or services are. It could be the individual who works for the delivery service. I know I personally had package delivered to an address that was similar to mine, but not mine. The individual was new to the delivery route and got mixed up. I had to run after the delivery truck, stop them and tell them they delivered to the wrong building. (I had gotten a text my package was delivered, but it was not on my doorstep or at the post office boxes for my building.) And since this happened more than once, I knew what had happened.

What’s the Solution To Better Customer Experience Delivery?

E-commerce companies, like Amazon, are using drones to speed up the this last part of the delivery process, while cutting costs. The result? Improving the customer experience, customer satisfaction and loyalty. And what’s interesting is even legacy retailers could take advantage of a similar process to grow online sales.

So What’s the Hold Up?

While there are many obstacles to overcome for instance, drone regulations, the development of autonomous flight and traffic control systems for drones, as well as consumer acceptance, there are companies actively trying to figure this all out. For instance, Amazon is working on drone delivery, depending on when and where they have the regulatory support needed to safely delivery packages. They want to use drones to deliver packages to customers around the world in 30 minutes or less. In fact, they have Prime Air development centers in the United States, the United Kingdom, Austria, France and Israel.

Amazon Prime @drnatalie

Photo Source: Amazon

They believe the airspace is safest when small drones are separated from most manned aircraft traffic, and where airspace access is determined by capabilities. To learn more, you can look at Amazon’s airspace proposals here: Best-Served Model for Small Unmanned Aircraft Systems and Revising the Airspace Model for the Safe Integration of Small Unmanned Aircraft Systems.

Disruption to Delivery Logistic Firms

As e-commerce providers like Amazon look for solutions within their own company, many logistics providers are experimenting with drone delivery. These firms also seek to cut costs as well as ward off competition, whether it’s from startups, technology companies or e-commerce companies. In fact, FedEx is betting on automation to Fend off contenders like Uber and Amazon. The shipping giant is investing in autonomous trucks and is interested in delivery robots, drones and an Alexa app. And while there are attempts to get this right, those of us in the innovation space know that #failfast – iterating and pivoting is the key. In my book, it’s ok to fail. You can’t learn what you don’t know, you don’t know unless you try. Trying means you learn something each time. Though the concept of failfast is very popular today, if we look back at Edison, it took him 9,999 times to get the filament for the lightbulb to work on the 10,000th time. What if he gave up? We’d all be in the dark!

How Is Amazon’s Prime Air Trial Drone Deliver Program Progressing?

Amazon have started with a private customer trial, to gather data to continue improve the safety and reliability of their systems and operations. As they gather data, this will bring them closer to realizing this how to use this innovation for all their customers. Does weather affect the delivery? Currently, Amazon is permitted to operate during daylight hours when there are low winds and good visibility. However, they are not using it when it rains, snows or in icy conditions. They feel they need to gather more data to improve the safety and reliability of their systems and operations to expand the offering. They are working with regulators and policymakers in various countries in order to make Prime Air a reality for customers around the world.

Video Source: Amazon

Where Can you Find more Information On the Disruption and Innovation Drone Delivery Can Provide?

In a new report, BI Intelligence examines the benefits drone delivery can provide as an e-commerce fulfillment method. In the report, they look at the different approaches companies are taking to experiment with the new technology and processes involved in this new delivery process. In addition, they look at the key players working in the drone delivery space. And have researched the challenges drone delivery faces in reaching mainstream adoption.

Will Your Industry Be Disrupted? Every Industry Should Be Thinking It Will Be Disrupted!

As I was giving a talk on disruption and innovation, I had many questions from what would be considered very standard legacy firms. What they need to be careful of is being aware of the fact that somewhere, in someone’s basement or garage, someone is probably working on a project that will disruption their industry. It’s customary to do the ostrich: stick you head in the sand. But doing so will only make you a dinosaur, (extinct) if you are not careful.

Disruption and innovation are all around us. Just look at what happened to the taxi industry. Not only did Lyft and Uber transform how customers’ order, receive and pay for rides, but they disrupted an age old industry that had not changed for years. And take GM for instance. They make cars. But they decided to look at cars as a service and invest $500M in Lyft to be part of the cars-as-a-service industry.

Disrupt Yourself or Die

Instead of being one of those industries or companies that waits until an upstart disrupts their revenue model and takes marketshare, why not start innovating within your own company. Too many companies are complacent or don’t have the skills to think outside the box. If you don’t, it may want to seek out a firm that can you help you think through this new and confusing new frontier of design-thinking, innovation and disrupting yourself — as a company and as a person. No one wants to be the company that had the leg up on IBM and caused it’s own demise: i.e, nobody wants their story to go down like Digital Equipment Corporation: DEC.

“Digital Equipment Corporation achieved sales of over $14 billion, reached the Fortune 50, and was second only to IBM as a computer manufacturer. Though responsible for the invention of speech recognition, the minicomputer, and local area networking, DEC ultimately failed as a business and was sold to Compaq Corporation in 1998. The  fascinating modern Greek tragedy in book form by Ed Schein, a high-level consultant to DEC for 40 years, shows how DEC’s unique corporate culture contributed both to its early successes and later to an organizational rigidity that caused its ultimate downfall.” Don’t do a DEC.

@drnatalie

Natalie Petouhoff

VP, Program Executive, Innovation and Transformation Center | Salesforce.com

 

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Vending Machine Are Not Just for Chips and Soda: An Innovation for Displaying Luxury Cars?

If you thought vending machines were just for fast food, think again. They are now for fast cars. From a Singapore “vending machine” you can order Bentleys, Ferraris and Lamborghini’s.

Who thought of this innovation? None other than the used car seller Autobahn Motors. They wanted to make efficient use of space in land-scarce Singapore and stand out from competitors. So in December, they opened a 15-story showroom, with 60 slots for vehicles, calling it the “world’s largest luxury car vending machine.”

How does it work? Well if you are in the market for a super fancy car, you can stand on the ground floor and with a touchscreen choose the car of your dreams. With an advanced system that manages vehicle retrieval, the car arrives within one to two minutes.

Gary Hong, general manager at Autobahn Motors, said,  “We needed to meet our requirement of storing a lot of cars. At the same time, we wanted to be creative and innovative,” he told Reuters. He has been approached by developers interested in using the company’s Automotive Inventory Management System for parking services.

But they aren’t the only ones. In fact, U.S. company Carvana uses vending machine-like towers to sell used cars. March marks the month it opened an eight-floor structure holding up to 30 cars. The Carvana vending machine, is a coin-operated. The proprietary Car Vending Machine offers a unique pick-up experience for customers who purchase a car online through the company.

How does it work? Carvana customers search for and then buy their car online at Carvana.com using — you guessed it – a mobile phone or desktop computer. Not only can customers buy the car, but they can also choose the vehicle financing through Carvana and even have the option to trade-in a car.

Once the purchase is complete, customers can choose to have their car delivered directly to their door or they can elect to pick it up at one of Carvana’s Car Vending Machines. If they choose to come to the vending machine, at the time of pick-up, the customer receives an oversized Carvana coin to drop into the custom coin slot at the at the car Vending Machine. The purchased car is automatically retrieved from the tower and moved through the machine until it reaches a delivery bay. There, the customer gets to drive away!

Where will the next source of innovation come from? You never know these days!

@drnatalie

Read the original article on Reuters. Copyright 2017.

 

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Digital Transformation Projects Have an 84% Chance of Failure; Are You Ready to Failure or Succeed?

Would You Invest If You Knew the Investment Had a High Likelihood of Failure?

If I were to tell you that I had an investment opportunity for you and the probability of you making money was 16% or less, how likely would you be to invest in it? But if I told you that the investment opportunity had a 90% chance of returning your investment, might you be more likely to want to invest?

What’s interesting is that digital transformation is all around us. We can’t help but be impacted in our person lives, from smart phones, smart TVs, apps (think taxi’s vs. Lyft), Siri, Alexa and Google Home. In business, it’s clear that customers want to engage with business in digital and mobile channels. Businesses need to make the transition to be competitive and survive. Yet according to Consultancy.uk* and Bruce Rogers** who wrote Profitable Brilliance: How Professional Service Firms Become Thought Leaders, 84% of businesses undergoing digital transformation are likely to fail. 

The More Things Change, The More They Stay The Same

Having been at this game for a while, the statistics reminded me of stats from nearly 20 years ago when the topic was CRM and ERP. Though they are not exactly the same, they have many of the same elements. Digital transformation, innovation and CRM and ERP implementations are IT implementation of people, process and technology. What they have in common is the use of technology to make scalable processes that were once manual. The advantages among many, were higher productivity (cost savings) but also providing better customer-facing experiences (revenue generating.) Going back through my old papers about CRM and ERP failure rates,*** I saw many of the same type of stats predicting similar failure rates for digital transformation projects are being predicted today**** (and by many prominent groups, including IDC, Gartner Group and Forrester Research.)

Things that make you go hmmmm. The more things change, the more they stay the same.

When Will Organizational Change Management and Culture Change Be Taken Seriously?

The stats show since the late 1990’s – early 2000’s until now, when Culture Change (CC), Organizational Change Management (OCM) and Behavioral Change (BC) is missing from a project, there are issues, yet it’s still not “fashionable.” Perhaps the lack of fashionability is from an old paradigm stemming from the command and control type leadership that doesn’t deem people as an important aspect of the business transformation, whether its CRM, ERP or Digital Transformation. Perhaps it stems from leadership that doesn’t know there’s a whole science and set of CC and OCM methodologies that go along with IT implementations. Perhaps they have never been shown the value of that OCM and CC can bring, so they still don’t think it’s important enough to invest in. Perhaps it’s a matter of showing people that it works and makes a difference!

The Time for Change is Now

The 4th industrial revolution challenges most of our existing mental models. What this means is that cultural change is essential to enable and execute successfully, any business / organizational / digital transformation. The key is having a plan, as well as, having developed tools and process for culture change and organizational change management which includes, but is not limited to having a:

  1. Communication plan and regular communication cadence
  2. Leadership and stakeholder involvement and engagement
  3. Training and skill development for the future state of the business and
  4. Organizational readiness and adoption on a continuing basis of the ongoing changes.

And of course, underneath each of these very simplistic groupings is a deep set of assumptions, tools, methodology and business-driven outcomes. So digital transformation isn’t uniquely about technology. It is about having the right digital strategy to ultimately transform a business to achieve higher objectives. This type of digital transformation must be built along with the human capital component, including skill sets, as well as, a cultural adoption of changing the way we do business. So what it boils down to is evolving behaviors within the organization, both from a leadership point of view as well as middle level managers to all employees.

Being Stuck in the OCM Adoption Chasm Will Cause Digital Transformation Failure

What is seems like, referencing one of my favorite people and author’s is Geoffrey Moore. It’s seems that perhaps we are, after twenty or more years of having OCM and CC at our finger tips, we are stuck in the adoption chasm. What we are headed for is the digital transformation iceberg of failure. We know what the iceberg did to the Titanic. We don’t want to be on a sinking ship. So what does an organization need to do? More on all of this in a future post.

@drnatalie

Natalie Petouhoff

VP, Program Executive, ITC | Salesforce.com

References

* Consultancy.uk. “Two Thirds of Digital Transformation Projects Fail” Consultancy.UK. N.p., 28 Sept. 2015. Web. 28 July 2016

**Rogers, Bruce. “Why 84% Of Companies Fail At Digital Transformation.” Forbes. Forbes Magazine, 7 Jan. 2016. Web

*** http://sloanreview.mit.edu/article/the-end-of-corporate-culture-as-we-know-it/

*** http://www.cio.com/article/2440386/supply-chain-management/supply-chain—hershey-s-bittersweet-lesson.html

*** http://customerthink.com/failed_crm_implementation_finally_costs_hp_465_million_in_damages/

*** http://www.destinationcrm.com/Articles/Columns-Departments/The-Tipping-Point/The-Scientific-Reason-for-CRM-Failure-Part-1-42510.aspx

*** http://www.destinationcrm.com/Articles/Columns-Departments/The-Tipping-Point/The-Scientific-Reason-for-CRM-Failure-Part-2-42655.asp

*** http://media.techtarget.com/searchCRM/downloads/CRMUnpluggedch2.pdf

*** http://www.zdnet.com/article/crm-failure-rates-2001-2009/

*** https://hbr.org/2002/02/avoid-the-four-perils-of-crm

*** http://www.infoworld.com/article/2648303/applications/waste-management-sues-sap-over-erp-implementation.html

*** http://www.computerworld.com/article/2517917/enterprise-applications/sap–waste-management-settle-lawsuit.html

*** https://www.google.com/#q=hershey+crm+failure&*

*** http://www.crmsearch.com/crm-failures.php

*** http://www.destinationcrm.com/Articles/Columns-Departments/Insight/A-Succession-of-Failures-70822.aspx

**** https://www.idc.com/getdoc.jsp?containerId=US40550115 ; http://www.gartner.com/newsroom/id/3337617 ; https://www.cmo.com.au/article/545992/will_your_business_digital_predator_prey_/

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Is Organizational Change Management Just the “Fluffy Stuff” or Is There Real Business Value?

Is OCM and CC Kumbaya?

When I first lead organizational change management (OCM) and culture change (CC), it was at previous high tech company; a company made up of mainly engineers. When the topic was first announced as part of our integrated product developed process (a.k.a. teaming) it was labelled very quickly as “apple pie and motherhood.” Many thought we were going to sing Kumbaya or I was going to bring cake and cookies to meetings. What I learned was framing what the results could be and by providing individuals, teams and organizations, with tangible results, I found being outcomes-driven was the missing key. How so?

Outcomes-based Driven Values

When I framed OCM and CC in terms of outcomes and business value, I asked questions like, “Would you like it if everyone showed up to your meetings? On time? With the action items completed? With a proactive attitude vs “not invented here or we don’t do that – that way here” attitude…  Get a high rate of return on projects- projects on time, within budget and scope, high customer satisfaction…? Of course the answer was a resounding “YES.” The employees were craving answers to these issues that plagued the organization. And no one knew how to fix these issues. They just persisted. People stopped taking deadlines seriously. They expected project scope to creep. Budget overruns were somewhat typical.

WIIFM?

When I was able to explain the value of the outcomes of OCM and CC to them personally and their teams- the WIIFM (What’s in It For Me), they became extremely interested as the cultured suffered from too many meetings, people always in meetings so they never had time to do their action items; a passive-aggressive culture- so instead of coming to the meeting (without the action items completed and saying they didn’t have time and figuring out how to change something so they did have time) they just wouldn’t show up… And in that company – one team’s action items directly impacted another. For instance, if team 1 didn’t finish their action items teams 2, 3, 4… couldn’t do theirs… and the project fell behind, out of scope, over budget… It was a horrible domino affect that one one really knew how to fix. Giving orders that projects needs to be on-time, within budget and on scope didn’t really lead to change. It just lead to frustration because there were reasons why those things were happening, but giving an order that they needed to be done didn’t fix the root cause. So nothing changed.

What I learned about Leading Change

What I learned was when I presented OCM and CC in terms of outcomes – employees and leaders were very interested. I learned when I first presented OCM and CC without the business outcomes, it resulted in #fail. Then, I pivoted and iterated to an outcomes driven aproached, related to WIIFM and it resulted in #success… Net-net? Choosing a few key behaviors’ that help people work better together in a way that supports desired organizational outcomes, gets people on board…

What 20 years of leading change has taught me is that it’s all about framing CC and OCM in a way that people can relate to. Unfortunately a lot of CC or OCM got a bad rap as the fluffy stuff. But I have spent a great deal of my career over the last 20 years writing ROI (return on investment) models for the “fluffy stuff.” And I can tell you, it’s not fluffy… it impacts the bottomline…  

OCM and CC Tools and Methodology Are Key to Successfully Transitioning From The “Fluffy Stuff” To Concrete Business Results

And of course having a methodology and tools that help teams and people make those changes… takes it out of the “fluffy stuff” and into the business realm. OCM and CC is so much more, but people don’t know, what they don’t know… so it’s key to have a concrete methodology so it’s taken seriously and it can add business value to teams and our customers. More on that in future posts.

@drnatalie

Natalie Petouhoff

VP, Program Executive, ITC | Salesforce.com

 

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Edible Robots: Researchers from Switzerland Work to Deliver Medicines in the Intestinal Tract

We know that robots play a key role in medicine by helping to conduct surgery by being able to conduct more precise and predictable movements than a surgeon as well as in pacemakers that can help regulate a person’s heartbeat. The healthcare industry spent $4.5 billion in 2016, according to IDC. But that’s only the beginning. In fact, the amount spent on robots is expected to grow as new types of robots are used in hospitals and clinics, globally.

So what is new in robots? Edible robots that can deliver medicine or conduct other medical procedures. In particular, we may find them crawling around inside our intestinal tract say researchers from Intelligent Systems Laboratory at Ecole Polytechnique Fédérale de Lausanne in Switzerland, which was led by graduate student Jun Shintake.

How do they work? These tiny edible and digestible robotics are made of gelatin. Actuators are what is responsible for their movement. However, they are not made like the typical metal robots powered by a motor. Instead, what causes these edible gelatin actuators to move is air or chemicals. The research talks about combining these actuators with other advancements in edible electronics. What might that look like? Perhaps the might be batteries that can safely pass through a digestive tract, or chips and cameras that can be ingested. These could make for a fully edible robot says Recode.

École hôtelière de Lausanne in Switzerland poised to make different kinds of food substances that may be ingested and roboticized. Are there any ingestible electronics on the market? Yes, and they include pills with ingestible sensors on them that can track patient’s compliance with taking medication. Often what affects someone’s ability to recover from a situation is their ability to comply with what is prescribed. And as humans, we sometimes forget to take very things that will help us. In addition, there are some robots that contain a camera that is small enough to be swallowed and record activity in a person’s digestive tract to help diagnosis issues that scopes can’t detect, like bleeding.

So as our ability to detect what’s going on in the body gets more sophisticated, so do the robots designed to help us heal. What will be next? It’s difficult to tell, but always interesting to see what scientists will discover!

@DrNatalie Petouhoff

VP, Program Executive | Innovation and Transformation Center (ITC), Salesforce.com

 
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Facebook’s Artificial Intelligence Has The Ability to Search Photos by Content

The term artificial intelligence was coined 60 year ago. But now its starting to deliver. Lumos’s computer vision platform was initially used to improve the experience for visually impaired members of the Facebook community. Lumos is now powering image content search for all users. What does this means to you? You can now search for images on Facebook with key words that describe the contents of a photo, rather than being limited by tags and captions.

How does this work? It starts with the huge task of computational training. For the object recognition used in Facebook’s image search, the artificial intelligence (AI) system started with a small set of 130,000 public photos shared on Facebook. Using the annotated photos the system could learn which pixel patterns correspond to particular subjects. It then went on to use the tens of millions of photos on Facebook. So what this means is that the caption-reading technology trained a deep neural network though public photos shared on Facebook. The model essentially matches search descriptors to features pulled from photos with some degree of probability. You can now search for photos based on Facebook AI’s assessment of their content, not just based on how humans happened to describe the photos with text when they posted them.

How could this be used? Say you were searching on a dress you really liked in a video. Using the search it could be related back to something on Marketplace or even connect you directly with an ad-partner to improve customer experiences while keeping revenue growth afloat. So it seems it can help both customers, customer experience and companies selling things as well as ad partners.

What else is new? Facebook released the text-to-speech tool last April for visually impaired users so they could use the tools to understand the contents of photos. Then, the system could tell you that a photo involved a stage and lights, but it wasn’t very good at relating actions to objects. But now the Facebook team has improved that painstakingly labeling 130,000 photos pulled from the platform. Facebook trained a computer vision model to identify 12 actions happening in the photos. So for instance, instead of just hearing it was “a stage,” the blind person would hear “people playing instruments” or “people dancing on a stage” or “people walking” or “people riding horses.” This provides contextually relevancy that was before not possible.

You could imagine one day being able to upload a photo of your morning bagel and this technology could identify the nutritional value of that bagel because we were able to detect, segment, and identify what was in the picture.

So it seems the race is on for services not just for image recognition, but speech recognition, machine-driven translation, natural language understanding, and more. What’s your favorite AI vendor?

@Drnatalie, VP, Program Executive, Salesforce ITC

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Digital Disruption is Gonna Get You Unless You Prepare Your Brand Now

Disruption surrounds the marketplace. As companies face disruption in their industry, the race to stay ahead of or beat the competition is quickening. Software is one of the ways companies competitively automate, manage and analyze business processes, data and content and scale operations. And to successfully compete in this increasingly digital world, enterprises need to transform slow, error-prone operations from manual, analog processes to automated digital workflows and document generation.

However, as various departments in companies buy software applications, often the lines of business are choosing the best of breed solutions and platforms which don’t necessarily easily integrate with each other or the main IT systems. This results in companies having many separate software systems. With people distributed over large geographies, it can be difficult to coordinate work across the business and thus defend against competitors.

While obtaining the right software for each department and use case is important, this often leaves the organization without a way to easily connect the work flows across departments and lines of business to get the return on investment. What is the key to winning the digital transformation race? A digital business process flow platform.

Businesses that drive process efficiency and effectiveness across desperate software solutions and across every aspect of their business will be uniquely qualified to position themselves to exceed and excel. To do this, companies need a platform to digitally integrate, sync and create sophisticated business processes independent of the variety of different software solutions throughout the various departments in a company.

The issue is however, not just to connect SaaS applications, but to also provide process automation to make sure the processes from each of those applications work together well. Without a digital workflow and content automation (WCA) platform and corresponding analytics, it can be very difficult to make sure the investments the organization has made in separate software solutions are actually returning the investment. Nintex does just that.

Competitive Positioning

Nintex’s key differentiator is they offer a digital transformation platform comprised of Nintex Workflow Cloud and Nintex Hawkeye. The host of Nintex’s digital SaaS connectors allows clients to rapidly build and deploy a digital workflow and content automation (WCA) and cloud transformation platform without having to write code. The business result is the ability to acquire customers faster, increase the pace of innovation, as well as control and manage expenses. The platform allows organizations to automate their business processes quickly and easily. And the drag and drop interface encourages quicker adoption of the Nintex solution. Importantly, any workflow automated with Nintex Workflow can be deployed to native mobile platforms (Android, iOS and Windows) in a rapid and simple manner.

The Nintex platform automates processes on and between enterprise content management systems and collaboration platforms, connecting on-premises, cloud workflows and mobile users. Two hundred of the Fortune 500 companies use Nintex, including more than 7,000 public and private organizations in 90 countries, running millions of workflows daily.

For companies that are not ready to move everything to the cloud, Nintex also allows companies to create workflows that stretch across both cloud-based and on-premises systems and services, to distribute work to multiple sites for multiple purposes and move data and workflows to the cloud when they are ready.

Nintex’s overall power is as a Digital Business Platform (DBP). Nintex combines powerful Workflow and Content Automation (WCA) capabilities in one platform. (Editor’s Note: WCA is an emerging technology category that consolidates the legacy technology markets of Business Process Management (BPM) and Customer Communications Management (CCM).) Nintex offers advanced WCA for its easy-to-use workflow and document generation capabilities and workflow analytics (workflow process intelligence).

Target Markets and Industry Vertical Solutions

Target markets include Communications and Media, Education, Financial Services, Government, Healthcare and Life Sciences, Legal, Manufacturing, Professionals Services, Retail Services and Technology industries. Nintex solutions are designed for a range of lines of business within organizations, including Sales and Marketing, Finance, Human Resources, IT and Administration, Customer Service, Field Service and Safety.

High-payback document processes that are faster to implement with a system like Nintex include those in Table 1, customer-facing processes as well as back-office processes (see Table 2a and 2b.) What’s important to note is that the implementation timeframe and costs are fractions of a traditional enterprise-level IT system and instead of using a single, formal, top-down development effort, they are evolved with rapid iterations. This takes a page out of the lean-process, design-thinking community, where rapid iterations and pivoting is key to success and gives large organizations not used to the start-up mentality the edge to be more competitive, quicker.

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Customer References

In speaking to Nintex customers our research found that many of the gains came from having an easy way to process and execute their digital transformations. This might include moving to the cloud, reducing the number and complexity of workflows like creating and approving a press release, signing and approving contracts, reducing resources and reassigning them to more important jobs as well as reducing the number of software applications used by the company.

The savings in time for enhanced workflows advanced the company’s position in the marketplace, allowed them to get to market faster and beat the competition. In addition, IT departments were able to be more focused on the needs of the business versus being taxed with the maintenance of many separate software applications. These typical IT responsibilities took IT’s time and focus away from the direct needs of the business. By implementing Nintex, the relationship between the lines of business and IT were greatly improved. With the ever changing dynamics in IT, the IT department needs to be highly agile and flexible in the solutions they provide for the business. Nintex provides IT with what they need to deliver to the business. This makes IT more relevant than ever, which is especially key when many lines of business are buying their own software. Now, more than ever, IT can play a key role in the success of the business.

Are you looking to digitally transform your business? Have you determined which processes are slowing the digital transformation of your business? And do you have a solution to take those manual, error-prone processes and digitally enable them? This report will help you in choosing a vendor that can help you with just that.

@DrNatalie Petouhoff, VP and Principal Analyst, www.ConstellationR.com

Covering customer and employee applications that empower digital workplaces

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AMAZON: Virtual ‘Dash’ Buttons for One-click Buying From the Homepage

How could it be easier to order from Amazon? Amazon just launched One-Click buying by adding dash buttons to its homepage and mobile applications. The dash buttons help Amazon Prime customers order their most frequently used items more easily. Amazon Dash buttons allow for quick reorders without hassle.

So what’s new? The original dash buttons were  physical, Wi-Fi connected buttons  users place around their home. When they realize they are running out of something like dish soap, they can place an order on the Dash button by tapping on the button. So what’s new is Dash buttons are now virtual Amazon Dash buttons that allow one-click purchases on it’s homepage.

The digital Dash buttons are for products such as groceries, pet supplies, diapers… with reorders one click away. Now Dash users don’t have to clutter their homes with actual buttons. To use the Dash buttons, a shopper can go to the Amazon site and select the option to “Add to your Dash buttons.” Perhaps these Dash buttons may even lead to more impulsive shopping.

Amazon Prime Dash Buttons

You just click on “Your Dash buttons”, see the figure above, and then buttons for things you’ve ordered before pop up.

Dash buttons

Here’s more about on how the buttons work to the video from Amazon: https://youtu.be/w1lrQgXa6pY

Amazon knows a lot about its customer’s shopping history and preferences so it has a good idea on which items to display.

Amazon is betting seeing a favorite item on the homepage will prompt users to buy it. This is an interesting innovation in e-commerce. Will it make shoppers order more? That’s the big question at hand. Only time will tell.

@DrNatalie Petouhoff, Constellation Research

VP and Principal Analyst, Covering Customer-Facing Applications

 

 

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