thomas.wieberneit@aheadcrm.co.nz
IoT becomes Outcome Orientated with SAP Leonardo – Finally

IoT becomes Outcome Orientated with SAP Leonardo – Finally

On January 10, 2017, SAP announced a bundling of their IoT portfolio of initiatives to focus on business outcomes instead of technology while combining the set of emerging products and solutions under the brand name Leonardo – as in Leonardo Da Vinci, one of the most forward looking artists and innovators ever. This announcement substantiates SAPs commitment to invest two billion Euro in IoT over the next 5 years. The new portfolio will combine adaptive applications, big data and connectivity as packaged line-of-business solutions, covering a range of topics. It bases upon a rebranded – and repackaged(?) HANA Cloud Platform, enhanced by the micro services for machine learning that were announced earlier and which I covered here. This enhanced platform is now called SAP Cloud Platform. As per a blog post accompanying the Leonardo announcement, the high level architecture of SAPs new offering looks like below and covers, besides a set of existing applications an IoT adapter – SAP Leonardo for Edge Computing – which serves as a device independent data input layer, essentially a kind of middleware, probably built on or using HCI. a foundational layer – SAP Leonardo Foundation – which includes the IoT business services that are to be exposed, enabling rapid development of applications. This makes up the functional core. and a ‘bus’ layer – SAP Leonardo Bridge – which enables the combination of real time data with applications and processes Leonardo is accompanied by a jump-start enablement program to accompany this initiative. This program includes introductory pricing and is intended to help organizations identify and validate IoT pilots and use cases, including expert staffing...
Putting the Cart in front of the Horse – Chatbots in Support

Putting the Cart in front of the Horse – Chatbots in Support

My recent rant on chatbots having the potential to kill user experience got some nice reactions. It brought me into some interesting discussions on support, mobile, the role, strengths and deficiencies of artificial intelligence (AI) and machine learning (ML) and so forth. Most of these discussions dealt with mobile support but also with the question where AI could benefit most. Particularly good one were with Abinash Tripathy, CEO of mobile support platform Helpshift and Srikrishnan Ganesan, founder of Konotor, now hotline.io after being acquired by Freshdesk at the end of 2015. Both companies have a focus on in-app support, a solution category that basically got introduced by Helpshift, after Abinash identified a lack of good options or delivering support directly to and via mobile phones. One of the premises is that a lot of the technically necessary and relevant information can get collected directly and sent to the service back end transparently. They have some big customers, including Microsoft and a raft of gaming companies, including Zynga and Supercell. He, of course, has an opinion on bots in support, which he recently also expressed on Venturebeat. Hotline.io has a customer base that is mainly made of transactional companies, which, too, leads to a high message load but also leads to different approaches, as the user context is often about past transactions. This means that regularly not that much information gets sent together with the support request. Sri, too, has a vision on how to incorporate AIs and bots into support. Hotline.io is offering a browsing style of offering help using a shallow tree with icon-supported categories on top of...
Customer Experience Management and Customer Expectations

Customer Experience Management and Customer Expectations

In the past weeks I found more and more articles like  this one that talk about the importance of continually exceeding customer expectations to be able to deliver a positive customer experience. Only this way, companies get advised, will they achieve customer loyalty and advocacy. I, frankly, find this more than a bit disconcerting. To me this seems to be a very wrong objective to put the sole focus of customer experience management on. Minimally it is a very short sighted objective. Not to be misunderstood. As a customer I like my expectations exceeded, too. Why is the objective wrong, then? Where we are at … For a starter, and that may be true for many other customers, consumers as well as business customers, we have grown to expect very little. This is probably following many disappointing encounters where already the basics go very wrong. I am talking about basics customer experience failures like: Being ‘targeted’ by and served with irrelevant marketing e-mails, or plainly with too many of them Complicated onboarding processes Unavailable, uninterested, or plainly overly busy in-store personnel, or the personnel not having information at their hands Long wait times in the customer service lines, even in chats Inadequate solutions to problems Different experiences when using different channels, like the necessity to repeat information Delivery windows that span a whole day Information about delays not being provided Confirmations that differ from the agreement Privacy policies that almost need a law degree, are very long and that put the customer on the back foot Loyalty programs that clearly rather serve the company than offering value to the...
Concur and Uber Partnership – Four Winners and one Loser?

Concur and Uber Partnership – Four Winners and one Loser?

Yesterday the controversial ride share/taxi company Uber and the leading travel- and expense management company Concur announced an expansion of their relationship. With their “first-of-its-kind partnership and technology integration” Concur-connected businesses “will gain visibility into [their] Uber usage while increasing traveler productivity and satisfaction”. As part of the deal Uber will exclusively (for the moment, I guess) make its business features available to Concur customers available for free. This includes automated employee onboarding, policy controls, savings performance, and trip summary dashboards only available by the combination of  data collected in the systems of the two companies. My Take – a Quadruple Win There are five involved parties. Concur Uber Concur customers Traveling employees It is conceivable that this partnership does good to all of them. On the fifth one – later … Concur wins The exclusivity of this partnership gives concur a nice edge over its competition. The travel management market is pretty contested. As you can see in the G2Crowd Grid for Expense Management Concur is not an uncontested leader. There is some scope left in both directions. Which leads us to the next two possible winners Concur Customers win Companies using Concur win by improved efficiencies, better overview and lower cost for taxi expenses – assuming that Concur doesn’t cream off the benefits – as the announcement states. There are basically five areas in which companies benefit: Companies can expect savings on taxi cost due to Uber instantly becoming a preferred provider A centralized account management connects employees to an account; this gives visibility into rides taken, including pick up, drop off, time of day, and route. Employees can use a central payment account or request reimbursement for...
Measure Customer Experience – But Don’t Over-Engineer

Measure Customer Experience – But Don’t Over-Engineer

You have determined for your SME business that you want to improve your customers’ experience.But you do not know how to measure it. And you want tangible results fast. And you want to contain the risk.  After all there is nothing more risky than a big venture that promises results only in the far away future… You have heard about this Internet of Things thing, beacons, customer journeys, sentiment analysis, and predictive, even intent driven analysis. But this all seems a bit big and daunting. You ask yourself: How to go ahead? And how do I measure success? Many companies, especially bigger ones, already have a voice of the customer (VoC) program, which is a good start. Not to be gotten wrong, there are all sorts of challenges with VoC programs. Getting insufficient replies, data that doesn’t really help, data that covers only one single channel, etc. etc. But then a VoC program is a very good start, if kept simple, and also consistently available across channels. It again is about thinking big while acting small. Key is to Ask the questions immediately in context with the activity you refer to, e.g. on exiting the store or the web site Keep the number of questions for your customers very low and to make answering them extremely easy. Correlate the customer replies with information that you get from your employees. Lastly: Act on the results. Nothing is worse than asking customers and employees for feedback and then doing nothing with it. Keeping the numbers very low while retaining the ability to get meaningful data is a stretch. There should not be more than 4, in...