I remember vividly reading an article back in 2012 that a new set of software termed “robotic automation” could be a serious threat to offshoring if not outsourcing at large. Suffice it to say I sat up straight in my chair and wanted to find out more. And I am very glad that I not only read that article but started to research those topics. This research not only got me immersed in the small yet highly innovative Intelligent Automation community, but it led to HfS suggesting that we should join forces to push the envelope on how these tools might disrupt our industry. At the time, Phil titled the blog in his inimitable fashion: “Greetings from Robotistan, outsourcing’s cheapest destination.” And the key strategic questions the HfS team was asking included: If you were a buyer, how fast would you jump at the option to hire FTEs at rates that undercut the Indian body shops by 50% — without sending jobs offshore? (“Hire” isn’t the right word, of course: it’s “create”.) If you were a BPO services provider, how would you like to build a software robot to automate a business process for one client, and then resell copies of that robot to a dozen other clients in the same vertical?”
So, fast-forward 4 years, is the offshoring industry any closer to the abyss? Those questions raised by HfS can be condensed to the suggestion that RPA will lead to a surge in insourcing which in turn will cannibalize large parts of the offshoring industry. This was underpinned by the assumption that scaling those robots is a piece of cake. Suffice it to say those suggestions need to be understood in the context of time, but equally that it were tool providers like Blue Prism and UiPath pushing that narrative in order to get the concept of RPA on the radar screens of the industry’s stakeholders. So where is the industry really at and what are the likely scenarios moving forward? Two recent industry events might help to shed more light at this. First, early in December Capita announced restructuring program. Crucially, the expected job losses are meant to be buffered by both moving services offshore as well as investing into a proprietary RPA solution. Capita is an important reference point as it has been used by the likes of Blue Prism and UiPath as a case study for the suggested trend of increased insourcing through RPA. What this tells us is that we have to stop ask binary questions, namely is one concept supplanting another. This is also demonstrated by the second event. HfS did spend a couple of intriguing days in Vietnam visiting Swiss Post Solutions (SPS) delivery centers in Ho Chi Minh City and Can Tho. SPS is a compelling example for scaling out RPA as part of its Global Sourcing strategy. The company is blending proprietary IP, RPA (UiPath) and Artificial Intelligence (Celaton) to accelerate toward higher value services. Thus, SPS is aiming to expand from its core in document management outsourcing toward BPO services. This journey is incremental, building on its historical strengths around document management and invoice processing but progressing to broader capabilities in F&A BPO and Insurance Claims processing. Unlike many other RPA deployments which tend to focus on client specific activities, often on a sub-process level, SPS is focusing on industrializing the core of its delivery capabilities through RPA and AI.
Before you raise your eyebrows, the point here is not to suggest that the market will necessarily follow SPS, but that we need a much more nuanced understanding of the implications of RPA and Intelligent Automation at large. HfS has been vocal, to put it mildly, on the impact of automation. First and foremost, this impact plays out differently in different scenarios. We see the most pronounced impact on service providers internally. It is here where RPA is being deployed aggressively and as financial earnings calls show, thousands of jobs are being “freed up”. Service providers are much coyer in deploying RPA in Managed Services contracts as top line revenues will be impacted. More recently we see a surge in transformational projects building out captive automation capabilities for clients. However, the boundaries between the last two scenarios are blurted. As part of the sourcing mix both might exist within one organization. But equally, we are seeing failed in-house projects that end up as BPO contracts and vice-versa.
However, to get a better sense for potential disruption, we have to continuously enhance our understanding of what automation really means. The more I think about automation, the more discussions I have with stakeholders, I keep increasingly coming back to one issue that helps me crystallizing my thoughts on the impact: How much of automation conceptually is actually a managed service and how much conceivably could be run as unsupervised learning. Take the example of SPS, business agents are being supported by elements of RPA and AI but their activities continue to require significant manual intervention. You can apply the same logic to the various tool providers and you get a sense when you visit their offices. Do you see hordes of developers doing manual tweaks and coding or do you see largely just R&D capabilities? Unsurprisingly the latter technologies offer higher value moving forward, even though at times it might require more effort to get the deployments up and running. Now combine the emerging notion of Virtual Agents underpinned by those forward-looking technologies and we really are staring at highly disruptive scenarios. On the danger of sounding like a broken record, we urgently need an honest and transparent debate on the various implications of Intelligent Automation.
Bottom-line: Intelligent Automation projects will only be successful with constructive change management
The White House released a report on the implications of automation and AI on the economy, the UK Government undertook an inquiry into robotics and artificial intelligence, yet our industry appears largely to remain in denial about those issues. Almost all service providers we try to engage with around this topic continue to suggest there will be no disruption. People “freed up” from projects will re-trained, re-badged – and you will have guessed it – all be happy. But I keep scratching my as we work in the sourcing industry. I am the last one proposing restructuring and job losses, but we finally have to get to a more honest and transparent debate on all of this. The implications will not only be felt in global sourcing locations but much closer to home in equal measure.
When somebody offers me something that is allegedly free, I tend to get skeptical, if not outright cynical, about possible motives or hidden catches. This is especially the case in the emerging intelligent automation market, where the focus needs to be centered on making automation work effectively and driving value from digitizing legacy processes, not saving some money on software licenses.
I had the same reaction when I first heard about WorkFusion’s plan to offer core RPA capabilities for free. In a nascent market that is clouded by the reluctance of many stakeholders to share their views and more importantly playback experiences, leading to extremely blurred perceptions, the move to commoditize core RPA, before it even has become mainstream could open a Pandora’s Box. In mythology, Pandora’s Box contained all the evils of the world. So what is really in WorkFusion’s box? Is it rather an altruistic box helping clients to climb to the stairway not to heaven but to digital operations as the company did put it? Before I let my cynical inner-self rip, I listened to WorkFusion’s webinar to find out more details. So, let’s first look at what WorkFusion is actually planning to launch. Dubbed RPA Express and planned to be launched in Q1 2017, the new product is said to offer the core RPA capabilities including:
Bot Recorder
Developer Studio
UI Automation Drivers
Bot Libraries
Scheduling
Control Tower
User/Role Management
While RPA is not defined across the industry, those suggested capabilities capture the value propositions of the leading RPA tool providers such as Blue Prism, UiPath, and AutomationAnywhere. Thus, WorkFusion’s strategic move to offer these for free could have profound implications for a market that has not yet reached maturity.
The two fundamental questions we have with WorkFusion’s aggressive move:
Will it lead to commoditization before we have even reached market maturity and
How this move could impact the leading RPA tool providers – and how will the respond (if at all)
WorkFusion’s move will accelerate the move toward transformation
WorkFusion suggests the motivation for offering RPA Express for free is to accelerate customer’s journey toward cognitive automation including crowdsourcing, chatbots and a broad integration of machine learning. As WorkFusion is not a shy organization, it reminded the audience in a recent webinar that it had launched several industry firsts including:
Train Machine Learning with Crowdsourcing
Virtualize data science
Combine RPA with broader cognitive capabilities
Build-in Tableau analytics
Automate conversations through chatbots and other means
Fundamentally, free RPA tool sets will lower the barrier to entry. Organizations can trial capabilities without having to worry about licensing costs. WorkFusion was at pains to stress that RPA Express is not a community version, requires costly upgrades to delivery enterprise-wide results or containing padlocks on higher value features. Provided these claims will get corroborated, the move could accelerate the move toward understanding RPA as part of transformation projects rather than a short-term focus on cost elimination, often on task rather than process level. Suffice it to say, at the same time it WorkFusion will strike at the heart of the RPA tool providers. On the service provider side, many will be chuffed by the elimination of licensing costs, but at the same time, many have established practices for Blue Prism, AutomationAnywhere or UiPath and will not easily jeopardize these relationships at least in the short term. However, the missing piece in the jigsaw is the talent that can integrate RPA capabilities – regardless whether they are free or not – into broader service delivery strategies. Therefore, partners will charge for training around RPA Express as well as helping to advance the journey toward higher value, cognitive automation capabilities. Nothing in life is really free.
Move could impact valuations of RPA tool providers
RPA Express is all about free tools for structured data. Yet, as we have stated repeatedly the industry needs to embrace the broad Continuum of Intelligent Automation (IA), with a strong focus on integrating unstructured data and building out cognitive automation capabilities. It is here where WorkFusion’s Smart Process Automation (SPA) is providing the value add and will thus provide the revenue streams. WorkFusion’s starting point in IA was Crowdsourcing and Machine Learning. Initially, it had used the RPA moniker to get a seat at the table for the decision-making on automation projects before building out broader RPA capabilities. The core RPA discussions continue to center on Blue Prism, AutomationAnywhere, and UiPath. It is these providers that could lose most from this move. Their licensing models will come invariably under scrutiny. The key question here is, how quickly can those providers accelerate their roadmaps in building out operational analytics and cognitive capabilities to buffer against potential losses in licensing revenues? Suffice it to say, I expect Harvey Ball graphics depicting the differences between RPA Express and the leading tool sets any time after the expected launch. And I can hear already voices claiming that WorkFusion has only limited capabilities in RPA to start with and can therefore easily suggest free offerings. However, in a market where very few understand the technical details of RPA tools and their impact on broader process flows, perceptions are likely to remain as blurred as they are now.
But there is possibly another subplot here. I believe that the leading RPA tool providers will be absorbed over the next 18 months by M&A. Thus, free RPA tools could weigh on valuations while management of RPA tool providers will be forced to focus on accelerating their roadmaps as the key value proposition is being forcibly commoditized. RPA Express could easily be seen as a spammer thrown into those M&A scenarios. Having said that, Blue Prism’s share price has not yet suffered, but then again, the broader market does not yet have seemed to digest the news of WorkFusion’s move.
Bottom-line: Disruption, but at what price?
We are seeing the move as a strong positive for WorkFusion as it will accelerate its customer acquisition but equally the progress toward higher value services. For the broader industry, however, the jury is still out. While WorkFusion might succeed in squeezing competitors boosted by a strong balance sheet, the market might lose important educators on the broader notion of IA. Obituaries on the demise of RPA might be premature, but the stakes have been raised significantly. It could hasten M&A in either direction. However, it could be a case of forced commoditization that carries significant risks for the broader market. A “self-medication” with free RPA tools might throw the hard-fought progress in understanding RPA as part of transformation projects off track. Put in a nutshell, it could be a highly disruptive move. It will take more clarity from WorkFusion’s partners to understand how they are planning to balance their ecosystems and what the detailed strategies are. Therefore, be braced for disruptive counter moves.
Thank the Lord 2016 is over. It’s easy for any old big head to claim they “were not surprised with Brexit and Trump,” but they would be lying – this surprised even the most brilliant minds and political experts.
Noone saw this coming – but it’s opened the eyes of many business and political leaders that we are living in transitional times and we desperately need to focus on ensuring we transition our economies, businesses, health and educational establishments to a more stable, secure place, where we can all plan for the future, with a clearer vision of where the world is going. Many people voted for change, without much idea what that change was, besides turning back the clock and ejecting politicians they didn’t trust and didn’t talk their language. It is my belief the global economy is inexorably moving in one direction and there’s little politicians can do about it, beyond starting World War 3 (heaven forbid).
Moving into 2017, the future is foggy for so many people. However, what is clear is those who keep trying to paper over the cracks will slip further behind in this secular shift to a global digital economy. But there is one constant we can rely on: focusing where new wealth and fiscal growth is being created and aligning our investments and education around it. This is exactly what we need to do in our world of business operations and technology; it’s time to rip off that legacy BandAid and embrace the future.
I believe the fog will start to lift as the new world emerges and people see where the opportunities lie. Small-thinking politicians will try to hold back innovation with anti-immigration measures and restrictive trade policies, but the building blocks for the global digital economy are already in place.
The inexorable journey to the global digital economy has started and this train won’t be stopping
We’re in a transition economy clouded by confused politics and too many people looking backward, not forward. Many legacy businesses are already being replaced by emerging digital businesses. This is inevitable, and legacy politicians will only speed up this process. It’s happening in our own industry, with traditional offshoring being gradually morphed into (global) digital operating delivery models that include intelligent automation and cognitive capabilities.
“Offshore” will cease to exist as a word – it’ll just be about companies staffing themselves with whatever talent they need to deliver their services and satisfy their customers. Whether China has the best availability of Hadoop programmers or India analytics skills for a particular business function, or the UK the best RPA expertise, it really doesn’t matter anymore – there won’t be this obvious “replacement” of onshore staff with offshore / whatever-shore, it will simply be organizations tapping into whatever services they need in an on-demand model.
So, while dinosaur protectionism rears its head in 2017, the likes of which Messrs Trump and Schumer are threatening, it will only speed up the death of legacy outsourcing. All they are really doing is helping accelerate the global economy to its natural destination – larger numbers of agile, lean, intelligent digital businesses, operated by talent which is in tune with the needs of its customers. There will no longer be a front and back office… only OneOffice that truly matters in the modern business that has survived this transition from the old world to the new world. Yes, you can penalize firms which import overseas staff to support themselves, and even stifle the obvious “lift and shift” of closing down onshore facilities to move the work to cheaper overseas ones, but you can’t stop smart digital business tapping into globally dispersed resources as they grow. Hence, you can only punish the legacy businesses for ripping out cost, but not the emerging business for building their global digital support infrastructure.
We’re currently experiencing what I am calling a “BandAid Economy”. While we’ll see our legacy traditional service providers, consultants, and IT suppliers struggle for growth, we all need to start looking deeper at the emerging businesses – and focus on the creation of new wealth around the digital economy. The Fortune 500 in 2020 will be dominated by businesses that are very different from today’s characters – they will be all about the ability to scale up and down to meet business demands, without massive incremental infrastructure investments, about having immediate access to people to service their customers, and native digital business models that cater for their needs, as and when they arise. Moreover, they will drive new spend from customers, because of their ability to predict intelligently their behaviors and their needs.
I bet all of us here are spending a lot more of our income as a result of digital business channels, than we would have done in the past (the likes of Amazon, AirBnb, InstaCart, Ocardo, NetFlix, SocietyOne, UAccount, targeted Facebook ads etc) this is the emerging present and future – smart digital businesses running on intelligent technology… all enabled by people. These businesses are generating increasing wealth without making the linear capital investments of yesteryear – but they do need talent to scale, just less office space, legacy IT system perseverance and expensive shop fronts. In fact, they won’t really need RPA as automation is native to their systems and processes. But one thing is clear, money is flowing into talent and tech like never before…
The Hi-tech sector is leading the way into the new economy
Cutting to the chase, I believe our salvation will be in the digital economy, where the hi-tech firms make up one huge growth sector that still cares about talent, ideas and new business models. Our new State of Operations and Outsourcing study with KPMG clearly dictates which industry sectors are gearing up for growth versus those merely playing a survival game. In the software and hi-tech sector, the C-suites are as keen as anyone to cut costs, but they also are the least focused on restricting talent investments (only 11% view restricting people investments as mission critical), close to half (44%) are very concerned about aligning the back office with the customer (OneOffice), while two-thirds are hell-bent on getting new products to market as quickly as possible (compared with only 18% of financial services firms):
The Bottom-line: Money is flowing into talent and technology like never before, not into the legacy juggernauts stuck in the old world
We’re moving to a very different tech-dominated economy – so many emerging startups and consulting firms are emerging and many have not even yet been formed. While some of today’s current crop of service providers are trying to build the parallel model by making ongoing tuck-in acquisitions of digital consultancies, their bread is still very much buttered by their legacy clients, many of whom are really struggling to keep up with the current pace of change.
Digital business models are what drives growth from the vast majority of today’s customers who want to buy from digital businesses. This is where so much creative talent is heading / developing – people who are figuring out how to develop business models designed for digital environments, where purchases are made over apps, customers are targeted using intelligent cognitive tools and serviced by people who can understand their needs on a much more individualized basis. The new world is getting smarter, while the old one just continues to get dumber.
I, for one, won’t be too sad to see the back of 2016… it just felt like the world kept becoming an increasingly ignorant place to exist. The Internet became the medium to block out information, not share facts and data points to foster intelligent discussion. It (almost) became acceptable to be racist; it (almost) became acceptable to talk about women as sex-objects, as long as it was playful “locker room talk”.
2016 became a time people complained about immigrants taking away their jobs – even though they’d never work those jobs in a million years. It became a time when we all finally realized so many of our politicians had lost touch with so many of the population that they got booted out… sadly only in favor of alternatives that didn’t make any sense, but it must have felt good for the disenfranchised to stick the middle finger up at the establishment.
It became a time when many of us decided we could no longer tolerate people as our Facebook friends, because they just refused to listen to rational arguments and get beyond their prejudices. Let’s be honest, it was a pretty ignorant year.
Hello to a year of, er, maybe a little common sense
So if we could have some good things happen next year….
Trump becomes a pragmatist. Like so many of you here, I am secretly wishing most the guff old Donald was spouting was just, well, guff. As Bernie Sanders told a private meeting of scientists recently, Trump is a very intelligent man. Plus, I believe the guy is not an idealist, he’s a businessman and a pragmatist. It’s my personal hope that he realizes globalization of business is an inevitable occurrence, but I do like his stance on China, and the fact we’ve allowed them set their own economic rules for long enough. This is one economic power where we need to fight back, review our trade deals and our tolerance of their unfair currency fixing and economic policies. If Donald wants to get into a fight, then I hope he goes after these guys and drops a lot of the anti-Mexican rubbish and electoral bravado. At the end of the day, DT will be judged on economic growth and job creation… all the other stuff is noise.
People stop being so lazy and start educating themselves again. How did we get to a point where so many people just spout off about the latest buzz terms, with no ability to define them or apply them to real business situations. How many “Digital” presentations have you sat through, where the presenter literally had replaced “IT” with “Digital” and reeled off some unintelligible random nonsense that just left you more confused than when he/she has started? Did we all just become stupid overnight? Please can we just get back to educating ourselves again, as opposed to making each other even more ignorant than we already are?
Automation becomes a business strategy… not the next “outsourcing”. Fortunately, anyone with half a brain who’s kicked the tires with RPA software has realized this is a lot harder than the masses realize. While there is considerable benefit to the fact that most RPA implementations are fast and do not involve any changes to the underlying applications, the ROI of there RPA implementations can be very attractive. But the core issue is the transition to an RPA environment is a multi-year process for most enterprises that requires a strategic focus on process value in the early phases, not cost take-out. Basing decisions primarily on the license fees of RPA software is just about the dumbest thing some companies were doing in 2016…
Service providers stop thinking that bribing analysts wins them business. My god, I went to one service provider’s website recently and all it had on its home page was “Marketscape this” and “Wave that” and “Magic Quadrant whatever”. Does anyone possessing half a brain care? Does the fact that some faceless analyst, who probably has never observed a real business process, or a real line of code, got suckered by a dose of clever marketing and a couple of client references (and was probably busy on Facebook during the telebriefings in any case)? Do clients really sit in board meetings, torturing themselves over whether to select Provider A or Provider B, and then decide to base their razor-thin selection decision on each one’s average performance across all these scatterplot charts? C’mon folks… who are we kidding?
The Bottom-line: Can we at least try and be a little less stupid next year?
I don’t think I can take another year like the one we just had. I miss intelligent debate and conversation, I miss being able to disagree with someone, but share our viewpoints, even if we ultimately agree to disagree. I miss people who would actually read articles, not simply tweet them or “like” them. I miss people who didn’t view Facebook as some place to be politically correct and pretend to “like” things they really don’t care about. I miss Twitter as something that was fun and social, not a place for robots to spam the masses… I miss a world where it was definitely not cool to complain about immigrants and generalize nations and religions… I miss a world where people would actually say, “Can you explain to me what you actually mean”, instead of nodding blindly with a blank grin on their face?
Well, that just about finishes my holiday rant… did I miss insulting anyone, or have I pretty much covered it here?
One of my biggest gripes with some analysts is that they clearly develop preconceptions about service providers and struggle to deliver a balanced view in their research – they have their favourites and struggle to recognize when others are improving their capabilities. And what’s bothersome here, is that they don’t realize they are doing it.
So I’ve decided to do something different to make sure I don’t fall into that preconception trap and force myself to give everyone a blank sheet of paper before we embark on our groundbreaking 2017 Blueprint, which will be bolstered by 300 references from Global2000 clients… I’m just going to get all my preconceived opinions out there now, so providers know where they need to prove me wrong, or validate where I am right.
You may have already seen that HfS Research is expanding our focus on the IT services market in 2017 (see press release). An initiative lead by Phil Fersht, myself and Tom Reuner. I will be leading the infrastructure and cloud part of the story. As part of the preparation for the infrastructure management services blueprint, I wanted to write down my own personal bias – those traits that immediately jump into my cynical old brain, when I think of the various infra services providers. So I am clear where I stand and what I need to get past to do a good independent assessment.
So for those that are interested this is where I currently stand. My message to those that want to question any negative opinion is confound me. You know where I stand.
Provider
My Starting Point
IBM
The daddy of infrastructure services. Technically very solid, services still seem unevolved – even with the acquisitions of the likes of Softlayer and Gravitant seem not to have a coherent/consistent message around infrastructure services. The whole cloud story within IBM is disjointed – bluemix, cloud brokerage, hybrid – as a firm it has all the pieces but seems to have trouble bringing it all together – or at least explaining to me how it fits together. Great consulting and transformation capabilities particularly suited for the very largest of enterprises.
HPE
Ignoring the limbo state HP (or whatever it ends up being called) are going through thanks to the spin-off and merger with CSC. HPE had a good hybrid cloud story, I particularly liked the ambition for its cloud ecosystem. Like IBM it has a history of being very capable, particularly with the very largest of deals. Probably one of the few providers to be able to manage the very largest multi-billon dollar infrastructure deals with mass transformation. In some ways HP had the business messaging and cloud story that IBM lack, but a lack of cohesion and financial problems hindered progress.
CSC
CSC embodies what is wrong with traditional outsourcing, which is slightly unfair as the last pure outsourcer left standing. I can’t help myself I associate CSC with change orders, lift and shift, and first generation outsourcing. I think largely unevolved, in spite of some progress toward As-a-Service with the acquisition of ServiceMesh – but tired and now in limbo thanks to HPE deal.
Accenture
Apart from the uninspiring name, I like the Accenture Cloud Platform, I like the agreements with AWS, Microsoft and Google. Accenture is playing to its strengths in infrastructure by looking to be the consultant and advisor leveraging best in class infrastructure provision to deliver customers a managed service experience. It has great long term experience with Microsoft through Avanade. But I’m left feeling that infrastructure is a means to an end with Accenture rather than a passion. Although for a provider like Accenture that is probably right.
Fujitsu
Traditionally a strong infrastructure player, perhaps stronger on the desktop, solid investment in cloud, but not much penetration/mindshare outside of Asia. I suspect Fujitsu have something interesting to say, but I’m not sure if it is able to communicate coherently to customers.
Capgemini
I get the impression that infrastructure is not what Capgemini wants to sell. But infrastructure was a large part of its heritage and it ran some very big traditional outsourcing deals in the past – particularly in the UK. Not sure it has managed to find the right balance in hybrid world, some interesting stories around cloud, but I believe their destiny is elsewhere.
T-Systems
T-Systems has a great deal of technical no-how in development of high end hybrid cloud environments, however, it struggles to get the message to market outside of Germany. In some ways I think technically it is the best at genuine hybrid cloud infrastructure, particularly in situations where real performance or complexity is required, even if it is not the best it is at least in the top 2-3 in terms of the quality of the service delivered.
Atos
Atos have some great partnerships in this space around high end infrastructure management. They have a good roadmap for hybrid and software defined datacenters thanks to VMWare and investments in automation. Atos are in a position to take some big deals based on the quality of the infrastructure they are able to deliver. The issue is a lack of momentum, and ability to articulate a game changing proposition to the market.
TCS
I lazily lump TCS and HCL into the same group in terms of infrastructure. Great at taking on horrible legacy infrastructure and managing it more efficiently. TCS seem increasingly conservative in approach so I’m not sure how cutting-edge the infrastructure will be, but there is no doubting the technical strength and it has plenty of resources to throw at any issues. I always this TCS, with Cognizant, are the hungriest of the offshore players.
Microsoft
Second biggest, second best IaaS (certainly in terms of feature/function). Much more enterprise focused and enterprise ready than AWS, big in-house services team, ability to transform and add value in large partner led propositions. It lost much of it’s arrogance in the late nineties.
AWS
OK AWS is the biggest and probably the best public cloud, certainly in terms of scale, and feature/function. Very customer centric, always innovating and adding to the platform. Small internal service team, so reliant on partners. Great customer stories and case studies. Although it seems to be run for nerds by nerds. Seems to have inherited the arrogance of a late nineties Microsoft, but if you grew a >$10Bn revenue company in 10 years, you might be arrogant too.
Cognizant
A bit like Wipro (below), I was never 100% sure that Cognizant’s heart was in infrastructure. A growing part of the business, but not as much success as HCL and TCS at grabbing its share of the first generation outsourcing business from the old school incumbents. Yet to really communicate a strong message around future of infrastructure – which may reveal the firms loftier ambitions. Not an organization I would ever count out given its traditional hunger, but its infrastructure message got lost in translation. At least with me.
Infosys
Impressed by Infosys cloud ecosystem hub, particularly in terms of ambition around infrastructure and roadmap, perhaps the best of the offshore providers. At least from what I have heard and absorbed. Although I question the success of this initiative to date.
Wipro
I tend to think of Wipro as an also ran for Infrastructure services amongst the big offshore providers. Like Cognizant, haven’t been as successful at winning business as HCL and TCS in this space – hasn’t been as big a push to innovate as Infosys.
HCL
Similar to what I said for TCS. Strong at lift and shift. Strong at modernizing. Very capable at untying the Gordian Knot of old deals. Although I suspect they are all tactical strength and little strategic direction in infrastructure.
Unisys
OK – this is where it gets hard. Unisys were traditionally a strong IT Outsourcing shop. But, much like CSC there is a whiff of decay about it as a business. Traditionally strong on the desktop – but who cares?
CGI
I am not as familiar with CGI, at least its global proposition as some of the other providers here. Very much an old school service provider. Strong business until the acquisition of Logica just seems to have had its energy sapped by this painful merger and lost its way.
So prove me wrong, or assure me I’m right… drop me a line when you get a chance at Jamie dot Snowdon at hfsresearch.com
In 2017, HfS is focusing heavily on IT services as a research topic and, thanks to my stint as a cloud and data center services analyst and hands-on experience in infrastructure services over the past 20 years, – I am looking after the cloud and infrastructure part of the market.
Given my recent blog on the infrastructure as a service market. HfS believes that making the right choice of infrastructure services partner is becoming increasingly critical for end-user clients, particularly given the amount of disruptive change the market is going through.
In preparation for this renewed focus, I’ve been looking more in-depth at the market for the main cloud and infrastructure service providers. This has inevitably led me to look through briefing information HfS has collected on the suppliers, talk to end user clients, look at many of the suppliers’ websites, and at the various quadrants that are in circulation around this space. One of the most recent ones, which is on Amazon Web Services (AWS) website is Gartner’s Infrastructure as a Service quadrant – which has placed AWS as a leader for six years.
By the way, this is not a critique of this quadrant or an attack on AWS – far from it – the positioning is dictated by the information provided and the customer references, and, given its laser focus on IaaS, I can buy the positioning. It’s hard to argue with AWS’ huge strength in this space, and that it’s a leader… by some margin. It acknowledges, by Microsoft’s position, that it’s closing the gap. As a slight side, note I do like the euphemistic “niche” player category particularly its use in this quadrant. What niche are these players filling? Do they provide services to organizations that want a crappy cloud? Is that a niche? Not that I want to start a semantic discussion, but I’m not sure IBM is a “niche” infrastructure services player even in IaaS, regardless of your view of the market. Particularly if you buy the IaaS as part of a larger infrastructure engagement, with any perceived shortcoming of the IaaS layer provided by another part of the service delivery.
This is what is missing, for me, the relevance of this research to an enterprise buyer. I see how the quadrant, as it stands, would be useful to a developer looking for the “best” IaaS to use, but for an enterprise looking to plan its cloud infrastructure strategy, I’m not so sure. Although IaaS can -and is – bought on its own, it is rarely bought without a context, at least in an enterprise organization. This means the services that wrap around the delivery of the IaaS are probably as important, if not more important than the actual IaaS – particularly in a hybrid environment. Of course, there are some 100% pure public cloud situations, but these are still fairly rare – most enterprise organizations, even in 2017, have a degree of complexity and require a mix of computing types.
My argument is that, in a complex environment, comparing one element is not enough and the excellence of that one component may be lost, as the whole infrastructure is built from interconnecting pieces, and some of the additional services that make the compute component great, are provided by another layer. The fact that there are a lot of additional services on top of the compute layer from AWS, for example, may not be useful to an enterprise looking for commodity compute delivered through a service provider that adds the additional functionality.
The Bottom Line – Who is this Quadrant benefitting?
So is the quadrant suitable only for companies that are looking to buy an IaaS engagement and don’t need to integrate it into any other environment? This would be the one way to make sense of the positioning. There are some uses that are 100% public cloud, and I can see situations where consideration of the overall enterprise architecture is not relevant, but this is quite a limited picture. Again for enterprise organizations.
So is this quadrant for a services firm suitable for an IaaS firm to choose a partner? It does help if the service provider is looking to pick the richest IaaS environment and leverage the brand of the IaaS provider. Which would work if infrastructure were more like a software eco-system, but in many cases, the service provider will want to add value on top of the IaaS. So this doesn’t help select a good basic IaaS service offering.
So what are we going to do about it? Next year we are going to look at the whole infrastructure management space with our own quadrant – an HfS Blueprint. One that takes advantage of our buy side contacts and uses over 200 interviews as the basis for our positioning and a guide to what is critical in the marketplace. The IT Infrastructure Management & Cloud Services Blueprint will take a more holistic view of the market and provide guidance on selecting the best provider for an enterprise organization. Focusing on end to end management of a client’s infrastructure services rather than just one aspect.
My colleague Mike Cook and I are in the middle of a blueprint on Managed Security Services, and as we talk to client references and review provider information, I’m reminded again about how difficult it is for clients to feel like they’ve really gotten the best possible team for their engagement, based on their investment outlay.
You might be disappointed with the quality of your team, and maybe you think it’s because it isn’t as good as you thought. Maybe they oversold their capabilities or flat-out lied about what they could do. While this is possible, in my experience, it’s more likely that clients confused the provider’s corporate image with the capabilities of the specific delivery and account team on their engagements. A provider’s capabilities are never evenly distributed across the entire company and the reality is that some delivery people are better than others. Plus, providers can often be very crafty with how they allocate their best and brightest to their clients.
A while back, I was at an event, and chatting with several vendor executives. A vendor management person from a buyer client that we all knew came over and started chatting. He looked at the company names on everyone’s badges and mentioned that his company worked with every provider represented there. Then, company-by-company, he pointed at each one and said things like “Yup, we hate you guys. We’re suing you. Your team is terrible. You never give us good people.” That broke up the circle quickly as everyone made excuses to move to other conversations!
And afterwards, two things that stuck with me: the first was that buyer getting up as a speaker at the event to talk about creating shared value and better relationships with suppliers (I kid you not!) The second was one of the providers sharing with me privately his frustration with that particular buyer, saying “he wants the “A” team, but he’s paying for the “C” team. And even still, all he talks about is cutting our rates in the next negotiation. Why would I invest in a client like that?”
This story highlights several reasons that a company many not get the “A” team from a supplier that have nothing to do with the supplier at all:
1. You aren’t mature enough. Providers can tell what your internal team is capable of – both for execution and understanding. A supplier won’t give you “A” level resources if they think you can’t appreciate the value. Now, of course, the question is “if you can’t tell the difference, how do you know it’s not the ‘A’ team?” And the answer is, you probably can’t put your finger on it but you’re vaguely unhappy and realize things aren’t progressing the way you want even if you don’t know why. Smarter clients get smarter teams.
What to do about it: This one starts with increasing your own expertise first so you can ask better questions, understand the answers better, and make your own suggestions of how to remediate so you can have productive discussions with the provider. When the provider sees that you know what you’re doing, they’ll give you better resources. In the story above, you wonder why the company was suing a provider – that’s the kind of thing that happens when you didn’t scope properly or weren’t smart enough to ask for the right things.
2. You’re cheap. I hear this one a lot. As a client, you’re complaining that you got the “B” team. But when you look at your rate card, you’re getting “C” team pricing. You may even have gotten the “C” team instead of the “B” team. This is exactly what frustrated the provider executive in the story – he was delivering better resources than the client paid for and yet the client wasn’t grateful, instead the client only complained that the resources weren’t good enough!
What to do about it: If you pay for the “C” team and got the “B” team, be happy. You’re doing better than most others in your situation. If you’re paying for the “C” team and actually have the “C” team, then you need to have a discussion internally about what your goals are. Maybe you’re actually ok with the service you’re getting and the complaints are just water cooler venting. If you’re actually having a delivery problem, then you need to look at increasing what you’re paying or changing the delivery model. You can change a delivery model by seeking to automate some part of the engagement and paying a little more for the resources you’re keeping.
3. You’re a bad client. Maybe you complain about things that aren’t actually wrong. Maybe you blame the provider for problems that really resulted from your internal team. Maybe you constantly want things that aren’t in the contract and get mad when you don’t get them. There are lots of variations on this theme. Here’s the thing: no one wants get abused as work, and top talent doesn’t have to put up with bad behavior. They’ll get switched to better clients. Or, worse, you HAD the “A” team and you beat them down until they’ve devolved into “C” quality work. While I don’t know the inner workings of the buyer’s organization, I can tell you that in this conference setting where provider normally love the chance to socialize with their buyer clients, providers avoided this person at all costs. That speaks to the poor relationships this person built.
What to do about it:Of course, if there are legitimate problems with the provider’s work, address it. But if the problem is really your team, then fix your internal situation. You can train your team to address challenges differently, swap your internal provider liaison or even fire staff that are creating a bad environment. You definitely need to get realistic about your expectations of the engagement. Then let these internal changes get demonstrated to the provider staff to show them you’re no longer the client from hell.
4. You’re not important. Sometimes you can be a great client from all sides – you pay well, you’re a pleasure to work with, and you have interesting work. But maybe you aren’t a big client, or you’re not a brand name, or you in fact have a weak brand (the “loser in your industry?) The provider is likely putting top talent onto clients that spend a lot of money or that have brands that with star power or they use as client references. In the story above, the client was important in its industry but had a reputation as a bad place to work, so there wasn’t the “star power” that often comes from a well-known brand.
What to do about it: This one’s trickier than the rest, because the only way to really fix it with your existing provider is to spend more money until you’re a bigger and more important client. Sometimes you can fix it by being willing to be a reference client, tell your account team if they fix the talent situation, you’ll agree to be a reference for future prospect or analyst calls. However, if you’re willing to go through a transition, you can solve this one by switching providers. You can look for a smaller provider so you can become a “bigger fish in a smaller pond” or a player who specializes in your industry so your brand becomes more important to that provider.
The Bottom Line: You’ll only be satisfied with your service providers when you deal with your own responsibilities to the engagement.
Get more realistic with your expectations based on the factors above and decide what’s good enough for your needs. Hold the supplier’s feet to the fire, but do the same to your own team. Addressing these internal issues will give you more value from your existing deals and also position you better for future work with your key suppliers.
There’s no two ways about it. I’m excited to be on the cutting edge of a Design Thinking-led services engagement in healthcare to address patient experience. Thank you to Lawrence General Hospital (LGH) and Sutherland Global Services for inviting me through the door and into this initiative…. and especially for agreeing to let me blog about it! We are constantly looking for where companies are “taking a detour with design thinking” and finding results to share. This time, we’re bringing you along on the journey.
We’ll start with a workshop led by Sutherland Labs, and follow their version of this human-centered, iterative innovation methodology over the next few months. The goal is to re-think the patient experience at LGH, and I’ll be sharing the progress here in my blog as we go. After months of researching, interviewing, and writing about Design Thinking and the value it can bring to a services engagement, I will be able to give you an inside look as well. If you have done this before, you can compare it to your own experience and perhaps find some new ideas; and if you haven’t, here’s a way to get some further exposure to a work in progress
Design Thinking can play a strategic role in helping healthcare organizations to better service the consumer as the patient, member, caregiver, clinician, etc… and rethink operating (and business!) models.
We believe design thinking can help bring about a more healthcare consumer focused type of engagement, which is so needed in health care today. With the latest news burning the wires that in the U.S., premiums are going up yet again, healthcare consumers are just going to get more discerning about how and what services they are receiving for their money. Value – always defined by the beholder – is changing for healthcare consumers. Being aware of that, and aligning the organization –front, middle, and back office – is simply becoming an imperative to the future health and success of healthcare providers, period. And service providers can play a role in doing so.
Despite the potential, and early success stories in and outside of the industry to date, the use of Design Thinking in healthcare for impacting business outcomes through operations is fairly nascent, as seen in Exhibit 1 from our recent Intelligent Operations Study, which included 45 Healthcare Operations Services Buyers. Only 23% of the respondents say they are using Design Thinking today, so we see LGH and Sutherland as pioneers here. For those of you who have not yet jumped into the waters, you can also find some ideas on how to get started in my recent interview with Charlotte Bui, Global Lead of Design Thinking at SAP… and stay with us here as this story with Lawrence General Hospital and Sutherland Global Services develops.
The LGH and Sutherland partnership to put patient experience at the center of reimagining the hospital business operations – the use of Design Thinking – exemplifies one of the 8 Ideals that HfS Research considers critical in the move to more “intelligent business operations.” As it is also one of the least mature of the Ideals in this services industry, they are breaking some new ground here.
Exhibit 1: The Maturity of Design Thinking in Helping Achieve “Intelligent Operations” in Healthcare Organizations
At the same time, fellow HfS analyst Hema Santosh, and I will be launching an update to the Design Thinking for the As-a-Service Economy Blueprint we published with Phil Fersht in early 2016. We expect to hear more about how service providers are using Design Thinking and incorporating innovation into their engagements, to be more forward thinking and investing in the long-term value of outsourcing services partnerships.
If you have a story to share, questions to ask, or challenges to pose, please fee free to post them here, or contact me at [email protected]. And, stay tuned…
Cognitive computing generally refers to having a system mimic the way people think, learn, solve problems or perform certain tasks. In HCM systems specifically, the system leverages what it knows about us — including our job, social network, and interests – to yield solid benefits in areas such as social recruiting and social learning.
We are also seeing take-up of some newer entrants into using NLP (natural language processing) in the form of chatbots and intelligent agents. Examples highlighted in my recent POV “Intelligent Automation in HR Services and Solutions” included an employee having a conversation with the system about an error on their timesheet that the system had the wherewithal to resolve … or the HR technology platform proactively pre-filling a timesheet based on items in the person’s calendar and previous timesheets.
So far, generally no controversy surrounding these type of cognitive capabilities … efficiency gains and better customer service without any apparent downside. But what if a near-future incremental step in the cognitive HR tech journey goes something like this:
Employee: Hi there, kindly initiate a PTO time off request for me for this Thursday and Friday after confirming that I still have the 2 PTO days to use.
HR System: I can certainly do that sir, but are you sure you want to take 2 days off this week given you have a major project deadline next Monday, the project seems behind schedule, and as you know, you were late on your last major project deliverable?
Can we say C-R-E-E-P-Y?
The norms regarding leveraging these capabilities in the HR/HCM realm will likely not be established anytime soon. We probably need a few high-profile lawsuits to be the catalyst, followed by consultants developing practices as quickly as they did for Y2K. In the absence of this, it’s reasonable to assume companies will start to get feedback from employees and job candidates that they were put off by the intrusive nature of their HR system interaction.
Until such time, here are four cognitive capabilities in HCM that go beyond (or way beyond) intelligent HR agents and chatbots. Some may still become standard HR systems capabilities and practices in the months or years ahead. For the time being, this is arguably a matter of weighing business benefits (ranging from efficiency gains to improving employee satisfaction/engagement) against potential liabilities that could include a total distrust of using the HR system — for anything!
Upon “clocking out” late one evening, the system notices that excessive hours have been worked by that employee in the last 2 weeks, and auto-emails the person’s supervisor a suggested communication advising the employee that … “the company values work-life balance, and they may want to consider getting back to a more normal schedule.”
The system recommends internal or external training courses to look into, or even a personal development coach, based on formal or informal feedback received (the latter from corporate social collaboration tools).
The system alerts a business unit head that a certain employee has initiated the processing of a leave of absence or early retirement, and identifies key “institutional knowledge” they possess (again based on formal or informal feedback) that should be transferred to other colleagues at the earliest.
A personalized, auto-generated on-boarding communication from soon-to-be team members who let the new employee know they have some things in common … e.g., school attended or outside interests or reside in same part of the city or birthday … and also expresses how excited they are to have them as a team member. (Of course, in this example, the “sender” would receive it first and have a chance to modify.)
Bottom Line: Cognitive capabilities within HCM systems will keep pushing the envelope, perhaps until lawsuits, governance issues or perceived creepiness get in the way.
My good pal, Steve Rudderham, formerly of Genpact, Capgemini and Accenture fame… and recently anointed the great GBS leader at Kelloggs, posed the irresistible question to me on our Robotic Premier League blog:
Phil, One thing we’ve struggled with is really where the rubber hits the road in terms of credentials. There are a lot of good innovation “stories” around RPA but several of the players on your list have really struggled to articulate savings and examples outside of their own in-house improvements using macros in excel. When do we expect more maturity in this space in terms of client stories that the rest of the industry can get behind?
Fair enough, Steve, great question… so here’s my answer:
@Steve Rudders –
It’s early in the morning, the filters are off so I’ll just answer your question as bluntly as possible: We live in ignorant times – people are blindly groping for that next vehicle to drive out cost, and RPA currently fits the bill.
I, personally, thought the hype would die down this quarter as companies struggled to figure out what not to automate. Don’t get me wrong, the RPA value proposition is tremendous – taking high throughput, high-intensity processes that require large amounts of unnecessary manual intervention and digitizing them to free up thousands of man/woman hours, is a terrific way to add value to a business.
But RPA is a murky, weird, and very complex, technical world – you need people with good process knowledge (not too hard to find), you need people to help evaluate what to automate in the software that makes business sense (you can’t automate everything or you’ll forever be automating and forever be spending money on automation) and you need technical folks who can help integrate the software behind the Citrix firewall in enterprises, who understand complex APIs and security issues. You also need a skilled change management plan as the “robo” paranoia can make the old offshore paranoia seem like chicken feed. Then you need some serious robo-governance competency… and these people are really hard to find. You can’t train your 28 year old MBAs to be robo-governators – these need to be your battle-weary operations leaders who know how to balance politics, panic, understand enough about tech to be dngerous, and can communicate the bloody stuff to leadership and middle management.
So to conclude, we will need some time before the true excel-proven results really materialize – and many firms will forever struggle to metricize the true ROI of RPA down on paper. It’s a bit like ERP 20 years ago – did anyone ever truly prove the ROI from huge investments in SAP or Oracle? It just became “assumed” that you couldn’t run a business effectively without and ERP system. In a couple more years, we’ll just assume you can’t run a business properly if you haven’t retro-fitted RPA into your down and dirty business processes to make some of them run better.
So most people associated with outsourcing and shared services are now aligning themselves in some way with RPA – the advisors are shaping up to make their clients look like they have a plan, the providers are working hard to make it look like they have RPA firmly embedded in their capabilities, and many savvy buyers are slapping RPA somewhere in their job title / job description.
But the true answer to your question – “when will we see more client stories the industry can get behind”? Simple – when the hype finally fades and those firms that made the smart investments finally put their experiences to print, unafraid to talk about how they improved their business with smart automation software. And this can take years – moving processes into software is a significantly more challenging exercise than moving them to lower cost people half way across the world.
One other issue, Steve, is the paranoia and reluctance of buyers to talk openly about their automation initiatives. Automation is being treated with a much more heightened degree of sensitivity than we ever saw with “outsourcing”.
Having said all of that, I do expect us to see many better communicated RPA cases next year simply because, for the first time, we have software marketing people in our services industry. Experienced software marketeers are simply better at getting their success stories across than services marketeers – because technology is at the core, not people. Enterprises are buying magical products to provide them with magical silver bullets… my concern is we could lose the very essence of operations… that they will always really be about people managing technology… not the other way around,