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Nitish Mittal, Author at Everest Group

Jun 14

Dassault Systèmes Acquires Medidata to Ride the Platform Wave in Life Sciences | Blog

By | Blog, Healthcare & Life Sciences, Uncategorized

When news first hit in late April 2019 of speculation around Medidata Solutions being acquired by Dassault Systèmes – a France-based software company that develops 3D design, 3D digital mock-up, and product lifecycle management software – Medidata’s stock value went soaring. The deal immediately made sense. The fact that Dassault Systèmes was looking to ramp up its offerings for life sciences companies made Medidata, which we recently recognized as a Leader and Star Performer in our PEAK Matrix™ for Clinical Trials Products 2019, an attractive acquisition prospect.

 

Everest Group Life Sciences Clinical Trials Products PEAK Matrix Assessment 2019

 

Fast forward to June 2019 and the deal is done. The all-cash transaction is valued at US$5.8 billion and represents Dassault Systèmes’ largest acquisition to date. It will finance the deal with a €1 billion loan, a €3 billion bridge-to-loan facility, and available cash. It’s the first time the French company has resorted to external funding, which only accentuates how much it prizes Medidata as an asset.

The strategic intent behind the deal

Dassault Systèmes began focusing on the life sciences market a few years ago with the vision to improve the penetration of digital technologies in the industry. Its last life sciences-focused acquisition was that of Accelrys in 2014, which helped Dassault Systèmes establish BIOVIA, its brand for biological, chemical, and materials modeling and simulation, research, and open collaborative discovery.

With the acquisition of Medidata Solutions, Dassault Systèmes makes a statement that it is serious about achieving this vision. The acquisition will make life sciences Dassault Systèmes’ second largest industry focus, after transportation and mobility. Medidata grew at a CAGR of 17 percent during 2015-2018, driven by its dominance in electronic data capture through its flagship product, Rave.

Dassault Systèmes prides itself on its 3DEXPERIENCE platform, which is meant to enhance digital collaboration in complex sectors like aerospace, infrastructure, and mobility. Dassault Systèmes now looks to extend these benefits to life sciences. By adding Medidata’s clinical and commercial offerings to its own 3D experience expertise, Dassault Systèmes aims to create a platform that offers complete digital continuity to the life sciences industry, addressing complex challenges such as personalized medicine and patient-centric experiences.

Unpacking the companies’ synergies

Synergy area

Dassault Systèmes

Medidata Solutions

Value proposition

 

 Design, modeling, and visualization software, with leading capabilities for the aerospace, defense, and consumer goods industries. Dassault Systèmes now aims to bolster its life sciences division

 

 Life sciences clinical and commercial software pure-play, with deep domain expertise and strong consulting pedigree

Coverage of the life sciences value chain

 

 Drug discovery, manufacturing, and supply chain Clinical and commercial operations

Key technology offerings

 Design, modeling, simulation, and virtualization software Data capture, real world evidence, advanced analytics, AI-driven insights, and operations management

Customers

 Customers are mostly in the aerospace, defense, and consumer goods industries

Sizable number of European life sciences clients, including medical devices firms such as Medtronic, FEops, Novo Nordisk, and Kavo Dental

 1,300 life sciences companies, three quarters of which are in America. This includes most of the Big Pharma and CRO firms

Product coverage across the value chain

Product coverage across the value chain

Key opportunities

Dassault Systèmes is sitting on a lot of cash. This will give Medidata the financial muscle it needs to make the right investments in talent and technology to compete with the big players like Oracle Health Sciences and Accenture.

The integration of capabilities could lead to the creation of a unique end-to-end platform for life sciences across the entire value chain. Medidata has clinical and commercial capabilities, and Dassault Systèmes has offerings for drug discovery, manufacturing, and supply chain.

Potential risks

It’s not clear how the integration of Medidata’s products with the broader 3DEXPERIENCE platform will take place. It could be a challenge linking Medidata’s clinical trials and commercial operations solutions with Dassault Systèmes’ design and visualization offerings.

Dassault Systèmes’ has diversified offerings across several industries. In the long run, this may dilute Medidata’s brand image as a leader and focused player for clinical trials technology.

Closing thoughts

The life sciences industry needs aggressive digitalization to realize efficiency gains and reduce the lengthy timelines between drug conceptualization and drugs reaching the market. We’ve seen technology vendors coming up with integrated solutions for clinical trials to help enhance trial efficiency. While the need for a platform is evident, technical debt and change management issues hinder this platform-centric vision. This is a high growth market, which is likely to attract more interest in the coming 18-24 months. More SaaS companies will need to pivot to the platform conversation to scale and remain relevant. We will be tracking this space closely.

May 24

The Amazon Web Services Juggernaut: Observations from the AWS Summit India 2019 | Blog

By | Blog, Cloud & Infrastructure

Amazon Web Services’ (AWS) Summit in Mumbai last week made it clear that its trifecta juggernaut in customer centricity, long-term thinking, and innovation is giving other public cloud vendors a run for their money.

Here are our key takeaways for AWS clients, partners, and the ecosystem.

Solid growth momentum

Sustaining a growth rate in the mid-teens is a herculean task for most multi billion-dollar businesses. But AWS has an annual run rate of US$31 billion, and clocked-in a 41 percent Y/Y growth rate, underpinned by millions of monthly active customers and tens of thousands of AWS Partner Network (APN) partners around the globe.

Deep focus on the ecosystem

Much of this momentum is due to AWS’ heavy focus on developing a global footprint of partners to help enterprises migrate and transform their workloads. Taking a cautious and guided approach to partner segmentation, it not only broke out its Consulting and Technology partners, but also segmented its Consulting Partners into five principal categories: Global SIs and Influencers, National SIs, Born-in-the-Cloud, Distributors, and Hosters. This is helping AWS establish specific innovation and support agendas for its partners to grow.

AWS growth momentum – underpinned by expansive global partner network

This partner ecosystem focus is increasingly enabling enterprises to achieve real business value through the cloud, including top-line/bottom-line growth, additional RoI, lower cost of operations, and higher application developer productivity. And AWS’ dedicated focus on articulating business benefits such as operational agility, operational resilience, and talent productivity, along with the underlying tenets of the cloud economy, has helped it onboard more enterprises.

Cloud convenience will need an accelerated Outposts push

Enterprises are looking for cloud convenience, which often manifests in location-agnostic (on-premise or on cloud) access to AWS cloud services. To bring native AWS services, infrastructure, and operating models to virtually any datacenter, co-location space, or on-premises facility, the company launched AWS Outposts at its 2018 re:Invent conference. Outposts is expected to go live by H2 2019 for Indian customers. Despite this, AWS is trailing in this front, playing catch-up to Microsoft Azure, which launched Azure Stack almost a year ago (and previewed a version in 2015.) At the same time, AWS will have to educate its enterprise clients and ease their apprehensions about vendor lock-in challenges while leveraging integrated hardware and software packages.

Helping clients avoid consumption fatigue

Shifting the focus toward AWS’ innovation agenda, the public cloud vendor launched over 1,800 services and features in 2018. As enterprises grapple with the rising number of tools and technologies at their disposal – which can lead to consumption fatigue – this can manifest in different ways:

  • Large enterprises will often depend on system integrators to help them unlock value out of latest technologies – AWS’ success in furthering the partner ecosystem will be crucial here
  • For SMBs, AWS will build on its touchpoints with the segment, something that Microsoft and Google already enjoy because of their respective enterprise productivity suites.

What’s next on AWS’ innovation front

There seemed to be a lack of development on the quantum or high-performance computing front. Client conversations suggested that they are struggling to figure out the right use cases depending on whether they need more compute and/or data – something AWS can help educate them on.

Gazing into the enterprise cloud future

We do not believe enterprises will move their entire estates to the public cloud. Indeed, as they transition to the cloud, we expect the future to be decidedly hybrid, i.e., a mix of on-premise and public, as this approach will allow every organization to choose where each application should reside based on its unique needs.

To deliver on this hybrid need, product vendors are inking partnerships with virtualization software companies. And the services and product line-ups are piquing enterprises’ curiosity. To help stake its claim in this hybrid space, AWS Outposts does have a VMware Cloud option, which is AWS’ hardware with the same configurations but using VMware’s Software Defined Data Center (SDDC) stack running on EC2 bare-metal. But it will need to educate the marketplace to accelerate adoption.

The bottom line is that although AWS is facing some challenges on the competitor front – with Azure and a reinvigorated Google Cloud under Thomas Kurian – it is well positioned on account of a solid growth platform and ecosystem leverage, which it demonstrated at the 2019 India Summit.

Mar 11

The Rise of BigTech in Healthcare | Blog

By | Blog, Healthcare & Life Sciences

A couple of weeks ago, my colleague and partner-in-crime, Abhishek Singh recapped his experience at HIMSS 2019, healthcare IT’s annual jamboree.

Now, I want to expand on one of them – how BigTech firms are homing in on healthcare (got to love almost-alliteration). Here are my key observations on how different BigTech firms are approaching the business of healthcare, based on what I saw and heard at HIMSS.

Google

The focus for the Mountain View-based company has been to develop a secure and compliant cloud platform, which has tools unique to the healthcare industry. It claims that the Google Cloud Healthcare API has significant momentum in the industry to really bring silos of data together. It has enabled FHIR integration as well. The general release of the platform is still sometime away though. On a lighter note, while Google is using AI to solve complex and messy problems in a range of industries, its HIMSS booth had a demo to help address the much dreaded fax plague in healthcare, allowing users to fax medical information to Google Drive, the company’s cloud storage service (as someone on Twitter pointed out), following Eric Schmidt’s observation that healthcare is still in the “stone age.”

Microsoft

The company, reinvigorated under Nadella’s leadership, is taking a smart approach to healthcare across two levers:

  • Utilizing broader technology bets with healthcare-specific use cases. It launched a service to help healthcare firms move large sets of patient data to its cloud (Azure) and connect with other systems. This is one of several attempts to connect patient health records in the cloud. It announced the availability of its healthcare chatbot in the Azure marketplace, as well as the launch of an API for FHIR in Azure
  • Leveraging a partner ecosystem. Microsoft is taking an ecosystem-based approach to accelerate healthcare adoption, using partners such as CitiusTech, DXC Technology, and Philips, to develop more cases on its technology offerings.

Oracle Health Sciences

Oracle is taking a dual approach – doubling down on a focused play in healthcare data and analytics, as well connecting with its life sciences focus – as the ecosystem converges. It announced integration between Quorum’s institutional review board (IRB) and goBalto, its recent acquisition focused on clinical trial site selection and activation. And it introduced Connected Care, a telehealth and remote patient monitoring tool initially aimed at improving stroke outcomes. Its other big focus was on Oracle ERP Cloud as the single stop solution to help unify a health system’s enterprise systems (HR, financial, supply chain) on an integrated platform.

Salesforce

Salesforce has bet big on verticalizing its CRM strengths to help deliver personalized patient experiences (CRM as the gateway to digital transformation.) It already has a bunch of use cases across the care lifecycle. Its focus is now on leveraging a partner network and adding more healthcare-centric functionality to its core set of products. For instance, it launched a feature to add social determinants of health information to patient profiles to improve outcomes. It also announced Fairview Health Services as a client deploying Health Cloud, Marketing Cloud, Heroku, and MuleSoft to centralize and manage patient touchpoints. Building from its progress at HIMSS18, where it collaborated with Cerner, Salesforce also announced new healthcare solutions using Health Cloud, built by consulting partners such as Accenture, Deloitte Consulting LLP’s Deloitte Digital, Huron, IQVIA, Silverline, Simplus and Torrent Consulting.

Uber and Lyft

Both ride sharing companies had a presence on the exhibition floor, and Lyft made a major splash and co-sponsored the opening reception as well. The common use cases they’re both addressing are around social determinants of health. An example is Lyft’s partnership with Allscripts (Lyft Concierge) to help patients get to appointments and lead healthier lives.

Ever since Amazon formally announced its move to shake things up in healthcare, the industry has been abuzz with an equal mix of anticipation and trepidation. While many are fixated on the idea that Amazon will take a Customer Experience (CX) route to healthcare, similar to its ecommerce disruption, I think this belief is misplaced. Why?

As we noted in our earlier analysis, Amazon is best placed to solve more messy problems in healthcare. Not many people realize how Amazon is already playing a role in reshaping healthcare’s supply issues. For instance, more than half of the products available on the Amazon Business platform are medical commodities such as syringes, IV bags, forceps, etc. It is targeting healthcare organization’s tail spend (typically 20 percent), which is focused on purchasing, pricing, suppliers, etc. This plays into its deep strengths in warehousing, distribution, and logistics.

At the end of the day, Amazon is just one of the growing number of technology companies looking to tap into the $3.4 trillion U.S. healthcare market. If HIMSS19 was any indication, BigTech is only going to accelerate its focus on solving key issues, with an ecosystem-driven approach. My bet for HIMSS20 is for someone showcasing curated Netflix content for improving mental health. One can always dream!

Nov 14

SAP Accelerates Experience Pivot with a $8 billion Bet on Qualtrics | Sherpas in Blue Shirts

By | Blog, Cloud & Infrastructure, Customer Experience, Mergers & Acquisitions

Just days before 16-year old Qualtrics was due to launch its IPO, SAP announced its acquisition of the customer experience management company in an attempt to bolster its CRM portfolio. Qualtrics, one of the most anticipated tech IPOs of the year, and oversubscribed 13 times due to investor demand, adds to SAP’s arsenal of cloud-based software vendor acquisitions.

Delving into SAP’s Strategic Intent

Seeking transformational opportunities, the acquisition will allow SAP to sit atop the experience economy through the leverage of “X-data” (experience data) and “O-data” (operational data). Moreover, the acquisition will enable SAP to cash in on a rather untapped area that brings together customer, employee, product, and brand feedback to deliver a holistic and seamless customer experience.

SAP had multiple reasons to acquire Qualtrics:

  • First, it combines Qualtrics’ experience data collection system with SAP’s expertise in slicing and dicing operational data
  • Second, it sits conveniently within SAP’s overarching strategy to push C/4 HANA, its cloud-based sales and marketing suite.

SAP’s acquisition history makes it clear it seeks to achieve transformative growth by bolting in capabilities from the companies it acquires. It has garnered a fine reputation when it comes to onboarding acquired companies and realizing increasing gains out of the existing mutual synergies. Its unrelenting focuses on product portfolio/roadmap alignment, cultural integration, and GTM with acquired companies have been commendable.

Here is a look at its past cloud-based software company acquisitions:

SAP has taken a debt to finance the Qualtrics acquisition, making it imperative to show business gains from the move. With Qualtrics on board, it seems SAP’s ambitious cloud growth target (€8.2-8.7 billion by 2020) will receive a shot in the arm. However, the acquisition is expected to close by H1 2019, implying that the investors will have to wait to see returns. Moreover, SAP’s stock price in the past 12 months has dropped by 10.6 percent versus the S&P 500 Index rise of 3.4 percent. While SAP has seen revenue growth, its bottom-line results have been disappointing with a contraction in operating margins (cloud revenues have grown but tend to have a lower margin profile in the beginning.) This is likely to be further exacerbated given the enterprise multiple for this deal.

Fighting the Age-old Enterprise Challenge

Having said that, SAP sits in a solid location to win the war against the age-old enterprise conundrum of integrating back-, middle-, and front-office operations and recognize the operational linkages between the functions. Qualtrics’ experience management platform, known for its predictive modeling capabilities, generating real-time insights, and decentralizing the decision-making process, will certainly augment SAP’s value proposition and messaging for its C/4 HANA sales and marketing cloud. In fact, the mutual synergies between the two companies might put SAP at an equal footing with Salesforce in the CRM space.

While it may seem that SAP has arrived a bit early to the party, given that customer experience management is still a niche area, the market’s expected growth rate and SAP’s timely acquisition decision may allow it to leap-frog IBM and CA Technologies (now acquired by Broadcom), the current leaders in the space. Indeed, over the last couple of years, Qualtrics has pivoted beyond survey and other banal customer sentiment analysis methods to create a SaaS suite capable of:

  • Analyzing experience data to derive insights about employees, business partners, and end-customers
  • Democratizing and unifying analytics across the back-, middle-, and front-office operations
  • Delivering more proactive and predictive insights to alleviate experience inadequacy.

Cognitive Meets Customer Experience Management – The Road Ahead

SAP’s Intelligent Enterprise strategic tenet, enabled by its intelligent cloud suite (S/4 HANA, Fiori), digital platform (SAP HANA, SAP Data Hub, SAP Cloud Platform), and intelligent systems (SAP Leonardo, SAP Analytics Cloud), has allowed customers to embed cutting edge technologies – conversational AI, ML foundation, and cloud platform for blockchain. SAP is already working towards the combination of machine learning and natural language query (NLQ) technology to augment human intelligence, with a vision to drive business agility. Embedding the experience management suite within next-generation Intelligent Enterprise tenet will play a key role in achieving the exponential growth targets by 2020.

Please share your thoughts on this acquisition with us at: [email protected] and [email protected].

Nov 09

The Future of Life Sciences Clinical Trials: Take-Aways from Medidata NEXT | Sherpas in Blue Shirts

By | Blog, Healthcare & Life Sciences

Now in its 12th year, Medidata NEXT brings together several thousand life sciences professionals across seven global events to discuss the future of clinical trials. Here are my take-aways from the New York City edition, which occurred over two days in late October.

  1. Clinical + commercial data is the future: As the life sciences industry moves toward outcome-led business models, companies can unlock significant value by collapsing the silos between clinical and R&D and sales and marketing. Bringing together commercial and clinical / R&D data allows them to generate more meaningful insights into patient behavior and preferences, and spark the discovery process for newer therapies and approaches. A number of life sciences firms have already begun tapping into this powerful data combination. For example, Medidata earlier this year acquired SHYFT Analytics, the maker of a cloud data analytics platform specifically designed for the pharma and biotech industries. And IQVIA started down this path with the OCE platform after the merger of Quintiles and IMS and subsequent company renaming.
  2. Platforms are becoming mainstream: Everybody’s jumping on the platform bandwagon. Examples include the Accenture-AWS-Merck research platform, ZS’s REVO Analytics, and Medidata’s Intelligent Platform for Life Sciences. The hallmarks of these and other platforms in this space are the combination of products and services in a utility-based construct, where customers can plug in and plug out based on need. Customers at Medidata’s NEXT event voiced a pressing need for technology partners to underwrite the risk of innovation by orchestrating the ecosystem (aka guaranteed outcomes).
  3. Moving from real world data to real world evidence: Life sciences enterprises are starting with low hanging fruit such as EHR-to-EDC integration through various sites to unlock value from data. To truly move the needle from data to evidence, and thereby help life sciences firms navigate outcome-based contracts, ecosystem participants – including enterprises, technology vendors, service providers, data providers, intermediaries/brokers, and patient advocacy groups – need to put more skin in the game and focus on end outcomes, such as patient experience, satisfaction, and clinical/health impact.
  4. CROs Are A-Changing: The CRO market is at an interesting inflection point as the traditional model has a limited runway for growth. The IQVIA model of combining clinical and commercial expertise is a sign of things to come, and CROs are doubling down on technology adoption to navigate this change. Another example is Medidata’s announcement of a five-year agreement with Pharm-Olam to unify operational systems to support study executions on the Medidata Cloud, providing a single, unified view of clinical trials to all stakeholders.
  5. Crowdsourcing clinical trials – are we there yet?: The industry is abuzz about the possibilities resulting from developments that aim to advance patient engagement, such as ePRO and advancements through Apple Watch and ResearchKit. While a crowdsourced clinical trial is some time away, several important steps have already been taken to help bring patients to the center of the clinical trial design and process, and assume greater ownership of their health outcomes. One particularly interesting use case is that, following GSK’s and its partners’ Patient Rheumatoid Arthritis Data (PARADE) study, Apple has obtained FDA clearance (not approval) to investigate the feasibility of using a mobile app to recruit and enroll patients in a study and gain insights about rheumatoid arthritis in a real-world setting.
  6. Accelerating cloud adoption: While life sciences firms have been putting an increasing number of enterprise applications and data on the cloud, they have been hesitant to do so with R&D and clinical data. However, the recently announced Accenture-Merck-AWS research platform signaled a changing wave of initiatives. For example, AWS and Google’s and Microsoft’s cloud platforms were prominently present at Medidata NEXT. We expect these lead steers in the market to accelerate the cloud movement in the life sciences industry.
  7. Partnerships are key to unlocking value in the digital ecosystem: Life sciences firms need to forge closer bonds with payers, providers, patient advocacy groups, etc., to truly bring the vision of a converged ecosystem to life. Several prime examples of this shift have emerged in the past year or so. One is the outcome-based contract struck between Amgen and healthcare services company Harvard Pilgrim for the cholesterol drug Repatha. Another is Medidata’s work with the Biden Cancer Initiative (BCI) community to coordinate a consortium of clients to share IoT data in order to analyze determinants such as quality of life and disease progression.
  8. The pivot to patient-centricity hinges on trust orchestration: While life sciences firms have been trying to become more patient-centric, there’s a sizable trust deficit with their core constituents. In fact, as the following exhibit illustrates, the pharmaceutical industry ranks at the bottom of the perception scale among adults in the U.S., second only to the federal government. As life sciences companies collaborate more closely with payers and providers, the ecosystem needs to reaffirm trust with patients and other stakeholders. Trust assurance is going to be key for the future of a converging healthcare ecosystem. In this context, how life sciences firms coordinate care with payers and providers will be crucial in reinstituting trust with patients and enabling care coordination.

The life sciences industry stands at the cusp of change. To truly move towards a patient-centric and outcome-based ecosystem, stakeholders need to collapse the traditional stack, break through silos, and embrace collaboration.

Market stakeholders, including Medidata, have made an interesting set of investments, on a platform of growth, in these areas.

Check back here often to see our analysis of how various life sciences stakeholders are collaborating to coordinate care and assure patient outcomes, ultimately to advance the future of life sciences.

Oct 08

General Electric and the Harsh Realities of Digital Transformation | Sherpas in Blue Shirts

By | Blog, Digital Transformation

Last week, General Electric (GE) replaced CEO John Flannery (after just 13 months in the top seat) with former Danaher chief Lawrence Culp, in response to Flannery’s slower-than-expected turnaround efforts.

GE has been a lynchpin of the American economic narrative, having pioneered the light bulb and the jet engine. During its vast and distinguished history, it has survived the Great Depression, the dot-com bubble, and the 2008 financial crisis. It was one of the original components of the Dow Jones Industrial Average, and had the longest continuous presence on the index before being removed from the index in June 2018. GE’s shares recently nosedived to fall below the $100 billion market cap threshold, effectively wiping out US$500 billion in value since its peak market cap of ~US$600 billion in August 2000. For such as iconic enterprise, the fall could not have been more dramatic.

GE Stock Prices blog image

How Did We Get Here?

While much of the market commentary has tried to blame GE’s decline on everything from short-sighted leadership (even under the legendary Jack Welch), expensive (and often inexplicable) M&A deals, and poor cash deployment, the truth is that it has suffered from a not-so-uncommon problem… lack of a future-proof digital operating model.

The company has struggled to reorient its portfolio in time, something for which Welch, Immelt, and Flannery were criticized. It has witnessed sluggish growth, despite divesting what it perceives are “non-core” businesses. Over the years, it overpaid for assets in “legacy” businesses – a typical sign of hubris – e.g., its US$9.5 billion acquisition of Alstom, which represented a doubling down on fossil fuels.

A combination of these short-sighted decisions has led to sluggish growth in emerging areas, such as healthcare. Its healthcare unit is now looking to spin out into a separate and independent company by 2019, despite being an important profit center with US$3.4 billion, or 18 percent in profit, in 2017. Essentially, it accounted for 16 percent of GE’s sales, but ~50 percent of its operating profit in 2017, which is a prime example of the misplaced bets GE has made over the years.

This not to say that GE has failed invest in upping its digital game. It has positioned itself as an industrial leader of the digital revolution, with major bets in software players and the Predix industrial IoT platform.

Digital is still a US$4 billion business for GE, but its aspirations seem dramatically cut short. Former CEO Jeff Immelt established the GE Digital business in 2015 as a part of a grand vision to transform the conglomerate into a “digital industrial” company. And yes, invested US$4 billion into the unit. After Immelt’s resignation last year, Flannery has scaled back these ambitions to focus on what it considered the “core” businesses. As of July 2018, GE was reportedly looking to hive off its digital assets, including Predix.

GEs top line bottom line blog image
GE Portfolio blog image

But is GE Alone?

Not really. Our recent research on the evolving digital services market reveals that three in four enterprises have failed to realize sustained returns on their digital investments. Leading enterprise executives singled out the operating model – or lack thereof – as the most important crucial determinant of success in this journey. Amongst various issues, 69 percent of enterprises consider organization structure a barrier while scaling up their digital initiatives.

GE digital transformation hurdles blog image

Enterprises that do not meaningfully reimagine their operating models cannot sustain digital transformation initiatives. Most organizations take a half measure by just focusing on digital strategy. If the enterprise operating model is not aligned with the digital strategy and business model, the desired returns from a transformation initiative cannot be achieved.

GE Returns Time blog image

A Future-Proof Digital Operating Model

Enterprises need to focus on five key areas to evolve their digital operating model and sustain transformation initiatives:

  • Organization structure: Leaner organizational structure aligned with the business model and digital strategy
  • Organizational culture: Ownership-driven culture with focus toward experimentation to reduce the fear of change
  • Communication channels: Decision-making aided by 360° communication involving internal and external stakeholders
  • Technology: Broader scope of technology adoption involving the entire value chain
  • Governance: Portfolio-based technology investments with aggregate business benefits such as ROI.

Adding F.I.R.E. to Scale

To achieve digital-first success, enterprises should embrace a F.I.R.E. operating model framework that defines a blueprint to scale up their digital initiatives:

GE Fire blog image

  1. Fluid organizational structure: Simplifying the organizational structure and its processes in selected pockets of the organization that require agility
  2. Innovative system and culture: Redefining existing processes needs a culture that is driven by innovation and experimentation
  3. Responsive workplace: Creating a workplace aided by intelligent automation and collaboration practices can act as a foundation for any transformation project
  4. Experience-centricity: Moving beyond customer-centricity to focus on the experience of the ecosystem.

Related: Learn more about our digital transformation analyses

Enterprises need to stop looking at digital transformation as an end-goal in and of itself. Rather, it’s a means to an end. When undertaken for short-term incentives and playing buzz word bingo, digital initiatives are more often than not doomed for suboptimal returns if not outright failure. Enterprises need to define the objective functions, and work backwards to establish a resilient and nimble operating model in order to stay relevant and thrive.

Jul 16

Broadcom, CA Technologies, and the Infrastructure Stack Collapse | Sherpas in Blue Shirts

By | Blog, Cloud & Infrastructure

In news that has caused a huge stir in the technology world, Broadcom, the semiconductor supplier, reached a definitive agreement to acquire CA Technologies, a leading infrastructure management company, for a whopping US$18.9 billion.

Unpacking the Strategic Intent behind the Deal

Many view the deal through a dubious, even critical, lens that points to Broadcom’s loss of strategic focus through a broadening of its capabilities beyond the semiconductors space. While the paucity of business synergies may seem true given the discrete nature of the two companies, the deal is not surprising when you examine the fragmented nature of the infrastructure software market.

Coping with bewildering choices in the realm of IT infrastructure management has been an impediment for most enterprises, leaving IT personnel grappling with a myriad of software and tools. Having said that, the advent of the converged stack approach is seen as the vanguard that can bear the mantle that democratizes infrastructure management. As time unravels the mysteries behind this move, the acquisition of an infrastructure software company may prove to be Broadcom’s crown jewel.

Broadcom blog Enterprise stack

Why CA?

Broadcom has long embraced inorganic growth. While its past acquisitions have centered around expanding its portfolio in the semiconductor business, CA will likely give it considerable headway in becoming a leading infrastructure technology company.

Broadcom’s revenue has been bolstered by its strategy of buying smaller businesses, and incorporating their best performing business units into the company. With this acquisition – expected to close by Q4 2018 – Broadcom is looking at ~25 percent business revenue from enterprise software solutions.

Broadcom will also gain access to CA’s 1,500+ existing patents on various topics including service authentication, root cause analysis, anomaly detection, IoT, cloud computing, and intelligent human-computer interfaces, as well as 950 pending patents.

Broadcom blog History

When you examine Broadcom’s business mix shift, you see an acquisition-driven approach aligned to its Wired Infrastructure and Wireless Communication business segments. These are the segments where CA brings in more downstream muscle to create an end-to-end offering for the infrastructure stack.

Broadcom blog Revenue History

Thus, Broadcom’s apparent strategic tenet to establish a “mission critical technology business” seems to be satisfied.

However, not everyone is convinced. The market was caught off guard, and is worried that this might be a reaction to Broadcom’s failed bid for Qualcomm earlier this year. Its stock has fallen by 15 percent since June 11, and the street is betting that it will plummet by another 12 percent by the middle of August 2018.

Broadcom blog History Graph

It’s Not Just about Broadcom, Is It?

With software as the strategic cornerstone, CA Technologies has scaled its offerings in systems management, anti-virus, security, identity management, applications performance monitoring, and DevOps automation. With enterprises shifting gears in their cloud adoption journey, revenue from CA Technologies’ leading business segment – Mainframe Solutions – has been declining for the last couple of years. But this decrease has been offset with rising revenues from its Enterprise Solutions. Moreover, before the acquisition announcement, CA Technologies had been trying to shift its model from perpetual licenses to SaaS and cloud models. As Broadcom moves ahead with onboarding CA Technologies’ offerings, it will gain access to downstream revenue opportunities as it will be able to provide customers a broader solutions portfolio.

The Way Forward

The size and opaque intent of this deal have evoked myriad market reactions. With Broadcom taking an assertive stance to expand into the fragmented infrastructure software market, increase its total addressable market, and capitalize on a recurring revenue stream, we wouldn’t be surprised to see it forging partnerships to propel the software solutions business it acquired from CA. Additionally, this deal will probably not face the same regulatory hurdles that ended up derailing Broadcom’s US$117 billion takeover bid for Qualcomm.

As Broadcom broadens its portfolio from beyond its core semiconductors business, it is laying down a marker and taking meaningful steps to build an enterprise infrastructure technology business. This aligns well with the collapsing enterprise infrastructure stack. But the question is – will CA’s largely legacy dominance be enough to propel this turnover in the digital transformation era?

While uncertainty about business synergies looms over this proposed acquisition, it will be interesting to monitor how Broadcom nurtures and aligns CA’s enterprise software business in its broader go-to-market strategy.

Apr 09

Reflections on Atos Global Analyst Conference 2018: Let’s Get Real about Digital | Sherpas in Blue Shirts

By | Blog

Several of us from Everest Group attended Atos’ Global Analyst Conference in Boston last week (April 5-6, 2018). That this is the third consecutive year the €12.7 billion IT services company has held this event in the U.S., even though it’s headquartered in France, makes it abundantly clear how important the North American market is to its growth strategy.

The conference featured an interesting line up of North America leaders, global practice heads, customers, and partners. Here are some of the highlights.

It’s Making Significant Progress Toward its 2019 Ambition

2017 was a year of sizable growth for Atos. It clocked revenue of €12.7 billion, growing at 10.1 percent (at constant FX), with organic growth at 2.3 percent. Its operating margin stood at 10 percent, and its book to bill was at 110 percent. While organic growth is within its guidance, the company plans to leverage its debt-free portfolio to continue its M&A posture.

Partnerships are its Key to Unlocking Value in the Digital Ecosystem

Since 2011, the partnership between Atos and Siemens has resulted in €2.5 billion in combined order intake. In the week leading up to the conference, the companies announced continued investment in their strategic alliance, with another €100 million of investment across AI, data, and cybersecurity. Atos’ ecosystem positioning was also evident as its partnership with Dell Technologies continues to play out in strategic areas including cybersecurity, hybrid cloud, and analytics and big data. It’s clear Atos is looking to tap the potential of the digital market by striking strategic partnerships to accelerate time-to-value.

IoT is Breaking Away as a Mature Digital Market

Within the broad spectrum of technologies that encompass “digital,” IoT is starting to gain significant traction in the modern enterprise. Service providers are moving beyond free pilots as the conversation has turned from experimentation to business value. Atos laid out encouraging progress with actual client successes and measurable outcomes across a range of industries such as CPG, chemical, oil and gas, telecom, etc.

Cybersecurity is Becoming the Foundation of Digital Transformation

In the last couple of years, cybersecurity has become a CXO imperative due to high-profile data breaches and attacks. In the week prior to the conference, Boeing, Lord & Taylor, Saks Fifth Avenue, and Under Armour joined the burgeoning list of recent victims. Atos underscored the importance of security as a bedrock of its digital factory framework, as well as partnerships with Siemens and Dell Technologies.

Digital Trust is Finally a Part of the Conversation

Coming on the heels of the Facebook-Cambridge Analytica scandal, the conversation around data ownership, access, and consent is finally gaining traction. A number of use cases showcased how Atos is establishing digital trust by laying down guardrails on who owns and can access data as their clients embark on digital transformation.

Looking Beyond the Blockchain Hype

Atos fellow Nicolas Kozakiewicz led an interesting discussion about how Atos (specifically Worldline) and Bureau Veritas have partnered on a real-world blockchain engagement named “Origin” to improve traceability of food products. This is one example of the fact that enterprises and service providers are starting to look beyond the initial hype to understand specific problems that lend themselves to a blockchain-based solution. Of course, questions around curation, trust, and scalability remain. And we’ll say it loud and clear here: despite what the market may have you believe, blockchain is not the holy grail solution for every business problem.

Atos’ Vertical Strategy Gets more Definition

In the last few years, Atos has acquired companies in the security, cloud, and data functional areas, in the North American region, and in the healthcare vertical. Healthcare and life sciences is now a €1 billion+ business for the firm, building on its acquisitions of Xerox’s NA ITO portfolio, Anthelio, Conduent’s provider businesses, and Pursuit Healthcare Advisors. It is now tying these investments into a coherent and differentiated value proposition for the segment.

Digital is not Just Front Office – Time to Drink Your Own Kool-Aid

The market is realizing that while digital technologies and operating models impact clients, they can also be used to unlock internal service provider value. In a panel with customer Johnson & Johnson focused on the Future of Work, Atos highlighted how it is using digital internally to improve the employee experience through an interesting chat bot / agent to map and serve personalized employee journeys, dubbed Chief Happiness Officer or CHO.

The Road Ahead

Atos is at an interesting junction as it builds on its core technology strengths around high-performance computing, data analytics, cybersecurity, and IoT, as well its investments to become more meaningful in North America. We’re seeing two distinct “markets” within Atos’ digital services world – IT modernization and business transformation. Conflating the two is suboptimal, as they are driven by different stakeholders with different imperatives, buying behaviors, and needs. While Atos is building on its technology-led story, it will be interesting to see how it builds out its business transformation narrative.

Mar 23

Salesforce Acquires MuleSoft Proving APIs Hold the Key to the Digital Enterprise Kingdom | Sherpas in Blue Shirts

By | Blog

In a major statement that reaffirms its vision of becoming the backbone of the modern digital enterprise, Salesforce acquired MuleSoft, a leading application network platform, for a hefty US$6.5 billion. This is the software giant’s largest ever acquisition.

Strategic Intent Behind the Deal

It is evident that MuleSoft will complement Salesforce’s PaaS agenda, per Salesforce’s statement that it will leverage MuleSoft to create the “Salesforce Integration Cloud.” MuleSoft’s AnyPoint Platform, which connects different cloud applications via APIs, is a good fit with Salesforce’s platform offerings.

In addition to strengthening Salesforce’s PaaS portfolio, the acquisition will enable the combined entity to:

  • Enhance its value proposition: Drive a more compelling digital transformation story across enterprises around personalized customer experiences, a single platform for a 360˚ enterprise view, and an enhanced industry-specific suite of solutions
  • Derive synergies from focus on the API economy: Aid enterprises’ need for faster time-to-value by enabling ease of data access across cloud and legacy systems, as well as enhance revenue by cross-selling / bundling across MuleSoft’s 1,200+ customers

Gain a stronger competitive foothold: Salesforce has been competing with Oracle and Microsoft in the CRM space. With players such as ServiceNow and Workday pivoting towards platform services, this deal enhances Salesforce’s platform play.

Crunching the Numbers

Salesforce CEO Marc Benioff has been chasing hyper-growth, with ambitions to nearly double the company’s current revenue to US$20 billion by 2022. While Salesforce’s growth has been relatively muted growth recently (~25%), he application network platform business grew by an impressive 37 percent YoY in Salesforce’s Q418. This presents a strong opportunity for Salesforce to enhance its PaaS portfolio, beyond the headway it’s been making in infusing AI and IoT capabilities across its platform to deliver a more personalized experience for customers.

SFDC blog

Naturally, the next smart move for Salesforce would be building or acquiring a strong API integration engine that helps it access and connect data across enterprises, regardless of its location. Evaluating its acquisition chronology, it was time for Salesforce to start owning the integration experience as well, while also trying to stitch together an integration cloud and potential iPaaS offering. The acquisition of MuleSoft gives it just that, with the added advantage of ensuring a faster time to market and a broader customer base. Additionally, MuleSoft was growing at a fast clip, clocking revenue of US$297 million for FY2017, 58% YoY growth, with guidance of US$405-415 for FY2018 (with an aim to reach US1 billion in revenue by 2021).

The growth story notwithstanding, Salesforce is paying a premium for MuleSoft, with an enterprise value to sales multiple over 20x, which is a reasonably high compared to typical deals in the segment. Salesforce is not alone to tap into the API ecosystem. Google acquired Apigee in 2016 for US$625 million, while Red Hat acquired 3Scale in 2016.

You Can’t Just Patch-fix in the Digital Era

This interest in tapping into the API and integration economy is not accidental. Enterprises have realized that they cannot move the needle meaningfully when it comes to digital transformation if they don’t get their technology estate in order. As we’ve opined before, creating the next breakthroughs in digital requires collapsing the stack to eliminate friction across the value chain. Digital needs to be enabled through convergence of emerging technology themes to drive efficiencies across back-office and core mid-office business processes and enhance competitive advantage by impacting market-facing front-office processes. To do this, it is not enough to invest in a solitary mobile app for customers or an internal gamification initiative, it requires efficient plumbing (e.g. DW/BI, creating data lakes, etc.) as a precursor to meaningful digital transformation. Our recent enterprise research also indicates that front office digitalization or Digital for Growth (DfG) is just the tip of the proverbial iceberg (less than a fourth of the spend), while a significant share is focused on the nuts and bolts (Digital for Efficiency / DfE and Digital enablement).

SFDC-DfG blog

A Word of Caution for Ecosystem Stakeholders

Although there is a general optimism around the business value of the acquisition, the stakeholders need to be wary of some of the potential roadblocks that will emerge:

  • Enterprises: With Salesforce aiming to be their digital transformation partner, the threat of lock-in becomes stronger and their bargaining power dynamics change
  • Competitors: The deal allows Salesforce to look beyond the CRM landscape and aid the digital transformation push, increasing competition with Microsoft, Oracle, ServiceNow, etc. MuleSoft’s peers, such as Sensedia and WSO2,will also be looking to compete with the might of the merged entity and evaluate their strategic growth options
  • Salesforce-MuleSoft: Managing enterprise lock-in concerns, anti-incumbency, and talent integration will be crucial to unlocking significant value through this ambitious deal. Also, integration in the modern enterprise, while a fundamental success requirement, is often riddled with tricky organizational inertia, data silos, fragmented systems, and change resistance

The Way Forward

The size and intent of the deal has certainly piqued the market’s interest. With the aggressive stance Salesforce is taking to expand its PaaS portfolio while playing the customer experience card, it wouldn’t be surprising if we see it forging more acquisitions and/or partnerships, including other companies in the API economy. Enterprises will need to keenly evaluate this landscape to choose the right partner in their digital transformation journey.

What is your take on the Salesforce-MuleSoft deal? We would love to hear from you at [email protected] and [email protected].

Feb 26

Artificial Intelligence is Democratizing Mental Health | Sherpas in Blue Shirts

By | Blog

If I had a penny for every time Artificial Intelligence was mentioned during the recent NASSCOM India Leadership Forum, I could buy a lot of Bitcoins. Both hype and hope abound around AI and its impact on different industries’ business models.

Let’s take a look at AI the healthcare industry. Adoption is increasing, helping solve a number of problems for patients, doctors, and the industry overall. AI engines are helping doctors identify patterns in patient symptoms with data and analytics, improve diagnoses, pick the right treatments, and monitor care.

For instance, physicians can now plug diagnoses into IBM’s Watson for Oncology and receive treatment suggestions based on historical patient data and information from medical journals. Face2Gene combines facial recognition software with machine learning to identify facial dysmorphic features, helping clinicians diagnose rare genetic diseases.

Mental health treatment: Can AI be the cure?

Using AI to treat mental health issues is particularly fascinating. So far, AI has only been viewed as a means to help healthcare professionals provide better care. But can it eliminate a patient’s need to consult with a doctor altogether for mental health-focused moral counseling and empathetic support?

Consider this: AI engines today have the ability to listen, interpret, learn, plan, and problem solve. Early identification of mental health issues is possible through the analysis of a person’s facial features, writing patterns, tone of voice, word choice, and phrase length.

These are all decisive cues in learning what’s going on in a person’s mind, and can be used to predict or detect and monitor mental conditions such as psychosis, schizophrenia, mania, and depression.

AI as a panacea for mental health

The idea of end-to-end mental health treatment through AI with no human intervention is quite viable, and the prospect becomes even more enticing when you consider how the following factors could drive acceptance among patients:

AI Blog ExhibitThus, it’s not surprising that a few players have already begun to delve into this space. Woebot is a software chatbot that delivers a mood management program based on Cognitive Behavior Therapy (CBT). AI luminary Andrew Ng is on the company’s board of directors. Randomized controlled trials at Stanford University have shown that Woebot can help reduce symptoms of depression and anxiety in two weeks.

AI Blog MobileAnother example is Tess, a psychological AI that communicates via text, administers highly personalized psychotherapy, psycho-education, and delivers on-demand health-related reminders, when and where a mental health professional isn’t available. It can hold conversations with the patient through a variety of existing technology-based communications, including SMS, WhatsApp, and web browsers. More recently, Facebook started using AI to help predict when users may be suicidal.

There are even cases of highly specialized products:

  • An app called Karim counsels Syrian refugee children
  • Emma helps Dutch speakers with mild anxiety
  • MindBloom allows users to support and motivate each other

Are robo-doctors just around the corner?

While the hype crowd might have you believe that your next appointment will be with a droid, several open questions warrant healthy skepticism of mainstream AI adoption in mental healthcare:

  • There are privacy issues, with the possibility of user data being shared with various parties seeking to profit from it
  • Could training AI systems with biased data lead to them make biased decisions?
  • Will users even take advice from software as seriously as they would from a qualified professional?
  • Can the technology successfully cater to a universal population?

The ecosystem is trying to solve for these and other questions. While it might be too early to say that AI-based mental health treatment options can become mainstream currency, they clearly create significant value. As healthcare organizations and patients experiment with these use cases, there’s a sizable opportunity to reimagine the workflow and treatment paradigm.