How My Experience As A Decision Maker Formed My B2B Branding World View
Before I threw caution to the wind and launched myself with wild abandon into the world of branding, I had a normal life. For a few years, I ran a retail business for a Berkshire Hathaway company (and since everyone asks, yes, I did meet and have dinner with Warren, although I suspect his recollection may not be as crisp as mine.) We manufactured and sold uniforms to government agencies: Police, fire, EMS, postal service, and others. As you'd expect, our customers were quite insistent that the fabric for the uniforms be made in the U.S. That is until budgets got slashed, and belts got tightened. Then the only thing that mattered was cost. So we were sent scampering to find the lowest-cost fabric and our global fabric sourcing program had to go from zero to sixty in a matter of months.
As packages continue to arrive from this year’s record-breaking Black Friday weekend, it’s no doubt you’re seeing Amazon packages complete with front-and-center ads for Amazon’s Echo and Dot devices. You may even be one of the reported millions that ordered one that weekend.
These are more than just devices — they are Alexa-enabled and are helping Alexa further integrate into consumers’ lives. And Alexa isn’t alone: from Alexa to Google Now to Microsoft’s Cortana to Apple’s Siri, we have a budding class of intelligent agents (IAs) on the rise. In 2015, 45% of US online adults used at least one.
As consumers, these purchases mean a new product or a holiday gift. As a marketer, these are part of the growing intelligent agent landscape that threatens your direct relationship with customers. How? As consumers fall in love with the customized, proactive utilities IAs provide, IAs will capture customer moments. The good news: If you work with them, you can gain valuable new customer access and insights. If you don’t, you risk losing your direct customer interactions to this powerful intermediary.
How do you land on the positive scenario? The answer isn’t “launch a [skill, card, whatever the agent-specific experience may be].” Don’t repeat the app mishaps we saw from brands launching an app whether it made strategic sense or not. Instead, determine the strength of your brand loyalty, digital commitment, and data insights to decide if launching your own IA strategy is feasible today — or if you should pursue a different type of IA strategy as outlined in this report.
Since the term BI is often used to also include data management processes and technologies, let's assume that in your case you are only looking for expertise required to build reports and dashboards and it does not include
Data integration (ETL, etc) expertise
Data governance (master data management, data quality, etc) expertise
Data modelling (relational and multidimensional) expertise
By now firms are deep into their big data investments — and frustrated. Too many new and rapidly evolving technologies are built on an open source and named after a bunch of zoo animals. The term insight platform has struck a chord with technology buyers exactly because it offers a path out of this mess. In fact, insight platform was the number-one emerging technology in terms of investment and interest in Forrester’s Q3 2016 Global State Of Enterprise Architecture And Portfolio Management Online Survey.
Enterprises today are focusing on delivering applications faster to drive customer experiences and drive business transformation to meet rising expectations. For some, faster delivery is simply faster time to disappointment where the delivery process is shoddy and speed is the only metric. Speed without quality in an oxymoron – and extremely dangerous. The automation of the process known as Application Release Automation (ARA) is one of the critical impediments in the DevOps journey for I&O organizations today. ARA tools are designed to remove errors from manual processes by standardizing and automating the movement of applications with middleware and infrastructure – the critical final step in the delivery pipeline of applications to deliver customer value.
Continuous delivery is the goal; ARA tools are the vehicles to get there
Amazon's new Amazon Go store ushers in a new era in brick and mortar grocery and convenience shopping. In the early 80's, electronic point of sale (POS) dramatically changed the checkout experience in grocery stores, speeding up checkout lines. Today, a checkout without POS is unthinkable unless it's a farm stand on the side of the road … and even here we're likely to see Square hooked up to a smartphone. But even with POS, the checkout has always been the big time waster in any grocery shopping experience. Until this week.
Six years ago, "The Ultimate Grocery Shopping App" described a future in which the grocery shopping experience was radically different from what existed in 2010. This week, Amazon has brought part of that vision to life by opening its first Amazon Go brick and mortar convenience store for Amazon employees in Seattle. A convenience store with no checkout lines … with no checkout.
Gone are the POS systems. Welcome to the era of automatic checkout. Amazon has used new technologies like image recognition and machine learning to go beyond at least some of the experience predicted back in 2010. Instead of shoppers having to scan items into their shopping cart, Amazon uses this advanced technology to track what shoppers pick up and add to their cart and what they put back on the shelf. No scanning, no checkout … just walk out and pay.
Why will this take off? Becuase it gives shoppers back significant time savings and it gives retailers potentially enormous costs savings.
I cover the APM market for I&O professionals, and it seems that every week I am briefed by yet another vendor entering the APM market. I wonder “What’s the attraction? Why is APM so hot?” Maybe it’s the mess.
I’m weird. I like cleaning up after Thanksgiving dinner. Why? Because it’s a huge mess. A little effort produces the dramatic result of a clean kitchen, ready for the next attack: leftovers.
The Wave evaluates fourteen vendors on twenty-eight criteria. We selected these fourteen as key players based on their functionality, market presence and the fact that they are most frequently mentioned in our conversations with clients. Of course there are more than fourteen APM vendors in the market.
Much has been written about how artificial intelligence (AI) will put white-collar workers out of a job eventually. Will robots soon be able to do what programmers do best — i.e., write software programs? Actually, if you are or were a developer, you’ve probably already written or used software programs that can generate other software programs. That’s called code generation; in the past, it was done through “next” generation programming languages (such as a second-, third-, fourth-, or even fifth-generation languages), today are called low code IDEs. But also Java, C and C++ geeks have been turning high level graphical models like UML or BPML into code. But that’s not what I am talking about: I am talking about a robot (or bot) or AI software system that, if given a business requirement in natural language, can write the code to implement it — or even come up with its own idea and write a program for it.
Are you feeling wistful about what online insurance experiences used to be? Can’t remember how to get back to the Wayback Machine? You can indulge that nostalgia by simply shopping online for life insurance.
Beginning in Q3, we looked at 13 websites—nine carriers, two online agencies, and one aggregator—in the US and Canada to get a sense of how easy it was for someone who was interested in buying a basic term life policy to use digital channels learn about coverage options, get an estimate, find and connect with an agent or advisor, and apply (up to the binding process).[i]
What prompted us to explore the digital buying experience for American and Canadian life insurance shoppers? Our data showed that when considering life insurance, shoppers:
Turn to personal connections. The financial dynamics of the family and social networks play an important role in the insurance research process, especially for younger buyers. Nearly 4 in 10 Americans said that they had used friends and family to research life insurance, while 13% of Canadians said that they had spoken with family or friends about the coverage. These personal connections are manifest through comments like, “I bought my life insurance from Company X (or Agent Y). You should check them out”, whereupon the dutiful relation goes to the life insurer’ or agent’s website.