Amdocs Reinvents Itself: Embracing AI, Cloud and Go-To-Market Transformation

2023 Amdocs Up Close Executive Industry Analyst Summit, Ra’anana, Israel, June 13-14, 2023 A select group of industry analysts gathered at Amdocs’ new corporate campus in Ra’anana, Israel, to hear from executive leadership about the company’s strategy, portfolio and go-to-market approach, as well as other aspects of its business. Amdocs’ CEO and CMO, along with the heads of the company’s business units, presented updates on their individual areas of focus. Significant time was allocated to discuss AI and its impact on Amdocs and the broader telecom ecosystem as well as how Amdocs is addressing nontelecom customer segments to diversify and continue its growth trajectory.

TBR Perspective

Amdocs is working hard to reinvent itself, and the company has made significant progress in its journey over the past few years. This message was directly and indirectly conveyed and supported with evidence across the event sessions, with the company providing updates about how it is evolving its strategy, products, go-to-market efforts and resources to align with changes in the markets in which it operates.
 
Though Amdocs remains fixated on telecom operators, there is an increased focus toward addressing nontelecom verticals, especially financial services. Amdocs will ultimately need to formalize and broaden its exposure to the nontelecom market to maintain its growth trajectory, especially as the telecom industry’s challenges continue to worsen.
 
Amdocs’ management believes the strategy changes it implemented over the past few years have increased its serviceable addressable market from $36 billion (2020) to $57 billion (2025). Most of this increase is due to the expansion of the company’s portfolio and geographic reach and the inclusion of opportunities from previously unaddressed telcos (primarily Tier 3 telcos and MVNOs as well as telcos operating in countries that Amdocs has historically had minimal presence in) and nontelecom verticals.
 

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Impact and Opportunities

Portfolio Disaggregation and Willingness to Support Best of Breed

In a marked shift from the company’s historical approach of solely pushing its full stack under a best-of-suite value proposition, in 2020 Amdocs began demonstrating a willingness to decouple its stack and sell individual products from its portfolio in a disaggregated way. Note that this approach begins with the CES20 portfolio; prior products largely remain in the suite format. This change in approach is intended to help Amdocs address a broader range of customers, especially those that are non-DOX customers.
 
Additionally, though Amdocs remains a product-led services company at its core, it is also willing to provide services, such as quality engineering, data services, cloud migration and operations, in customer environments that do not have Amdocs products in them. TBR notes that these go-to-market changes will help Amdocs be more flexible and opportunistic with customers versus its historical approach of pushing the company’s entire stack.
 
As part of this shift in approach, Amdocs also made foundational changes in how it writes code and incorporates CI/CD, scrum, guilds, and other modern elements of software design and innovation. Taking a more iterative, API-centric approach toward product creation and road mapping will help Amdocs better align with key trends in the ICT sector and bring cloud principles and best practices into the telecom industry. Ultimately, Amdocs wants to move from version updates, which are currently on a quarterly cadence for the CES23 portfolio, to versionless updates, where updates can be implemented in a flexible, real-time manner.

AI Is Being Taken Seriously

Amdocs’ management believes AI will be an important pillar of the company’s strategy and portfolio going forward, and the company has been directed by executive leadership to assess AI and incorporate it across the business (e.g., around corporate functions, products, service delivery, human resources and customer outcomes). This process will be a journey, but Amdocs expects tangible benefits will start to materialize later this year, with cost optimization and product enhancements likely to be among the earliest benefits. Amdocs debuted its amAIz platform and is also assessing how its strategic partnership with Microsoft could leverage AI to bring improved business outcomes to the customers of both companies and the broader ecosystem.

Nontelecom Opportunities

Amdocs’ persistent, nearly myopic focus on telecom operators remains the company’s biggest challenge, but also its greatest opportunity. The products and skills the company has refined by supporting its telecom customers over the past 40 years are translatable and valuable to other industries, especially those that operate in heavily regulated industries and need to modernize or transform legacy IT systems.
 
Though Amdocs has been involved in nontelco verticals for years, representing a TBR- estimated approximately 10% of total company revenue, TBR notes that Amdocs seems to be making a strong push into the financial services vertical, as evidenced by acquisitions (especially Projekt202 and Sourced Group) and an increase in dedicated resources to support that vertical. Amdocs is also supporting retailers and customers from other verticals primarily via its Stellar Elements business unit, which is also underpinned by Amdocs’ acquisition of Projekt202. In total, Amdocs has over 50 financial services customers as well as customers in a range of other verticals as of June 2023.
 
Over time, TBR believes nontelecom verticals will comprise a more significant portion of Amdocs’ total revenue. This will be driven by strong organic growth and a weakening contribution from the telecom segment as the health of the telecom industry continues to deteriorate.

Talent

As part of Amdocs’ business evolution, the company made structural changes in its workforce. This included a significant rotation of workers to align with its new strategy and a strong push to market Amdocs as a desirable place to work. The result is a much younger workforce that is more geared toward modern software innovation. Amdocs also noted that retention has been higher, employee job satisfaction has improved markedly, and the market perception of Amdocs as a good place to work has improved. These KPI improvements were assessed and validated via a third-party study conducted by a leading management consulting company.

Conclusion

Amdocs has made significant progress toward its reinvention over the past few years. The company is clearly becoming more receptive and willing to adapt to better align itself with the market. This reinvention comes at a good time, given that the telecom industry has entered a challenging multiyear period. After seeing a range of evidence that Amdocs is making changes, TBR’s opinion of the company and its prospects has markedly improved and there is a high probability that the company will continue to achieve consistent performance despite challenges within its core telco customer segment.

Amdocs is encouraged to start providing more information about its nontelco initiatives, which are known to be significant but are unquantified and minimally discussed, as it will become more important to the company’s business results and growth profile over time.

Red Hat’s Strategic Investments: Pioneering Next-Gen Applications, Including AI

In late May, Red Hat welcomed customers, partners and industry analysts to the Boston Convention and Exhibition Center to showcase new innovations around OpenShift and Ansible. A key theme at the event was helping CIOs do more with less, a message that particularly resonates in this economy as customers vie for self-service software to automate processes and fill skills gaps without increasing their IT bill.

Red Hat’s Backstory Will Shape Its Entry Into Next-gen Applications

Evidenced by the widespread adoption of Red Hat Enterprise Linux (RHEL), which is trusted by roughly 35,000 customers, Red Hat has a rich history turning upstream, open-source projects into commercial products. Red Hat launched OpenShift in 2011 by essentially layering Kubernetes on top of RHEL, and what was once viewed as an enterprise Kubernetes product has evolved into a modern application platform, supported by a series of plug-ins and control plane capabilities that add inherent value over traditional Kubernetes runtimes.

 

Over the past decade, Red Hat has grown its OpenShift customer base to north of 3,00, as enterprises use the platform to build, modernize and manage both traditional and cloud-native applications. However, in the span of just a couple of years, against the backdrop of a pandemic, the IT landscape has shifted, forcing Red Hat to adjust its open-source portfolio and business model to a new set of delivery methods, workloads and consumption models.

 

While the market appeared initially skeptical that an open-source company born inside the data center could accommodate these changes, in those two years, we have seen Red Hat push into the edge space through multinode OpenShift clusters and offer managed cloud services on the platform.

 

Now, with AI promising to unlock a new wave of applications and related business opportunities, Red Hat will use its expertise in productizing open-source technology to help customers build and manage intelligent applications.
 

Announcing OpenShift AI

Despite all the recent hype around AI, customers have been showing interest in running AI and machine learning (ML) workloads on OpenShift for quite some time, which prompted the 2021 release of OpenShift Data Science.

 

With foundation models promising to unlock a new stream of developer productivity, there is a clear opening for Red Hat to use its understanding of application pipelines to help customers build and manage the models that will ultimately power the next wave of enterprise apps.

 

At the event, Red Hat announced OpenShift AI, a series of tools and capabilities designed to help customers deploy models, monitor the accuracy of their models, and improve the performance of an AI model in production. As such, Red Hat is not trying to create the next AI algorithm, but rather is aiming to be the platform that helps customers build and run AI models. One example is using AI models tailored to certain domains, such as Ansible, that run on trusted code and therefore help to eliminate some biases customers might experience with more generic large language models (LLMs).

 

While it is still a little too early to predict how customers will react to these generative AI innovations, Red Hat has landed a big use case with IBM (NYSE: IBM), which developed a series of foundation models, as part of what is now WatsonX, on OpenShift AI.

Red Hat Strengthens Value Prop of OpenShift With New Developer User Interface

At the Summit, Red Hat announced Developer Hub, a portal with enterprise-compliant APIs and templates designed to improve developer experiences on OpenShift. We view the launch of Developer Hub as a key step in further freeing developers from more mundane tasks like cluster management, so they can ultimately focus on creating new code.

 

Getting in front of more developers with services like Developer Hub will be key to Red Hat’s continued success, helping it to not only sell OpenShift to more of its RHEL customers but also land new business from companies that are underwhelmed by the lack of developer-friendly features in some of the market’s native tooling.

AWS and Microsoft Azure Emerge at the Center of IT Deployments, and Red Hat Is Partnering Accordingly

At TBR, we talk extensively about how the leading hyperscalers — Amazon Web Services (AWS) (Nasdaq: AMZN), Microsoft (Nasdaq: MSFT) and Google Cloud (Nasdaq: GOOGL) — partner with pure play PaaS platforms, as well as some of the associated opportunities and challenges.

It is hard to dispute that one of Red Hat’s true marks of success has stemmed from the company’s ability to go to market as a neutral DevOps platform that is compatible with all leading cloud platforms and even makes its services, including the new Developer Hub, available on Kubernetes platforms outside OpenShift. This position has allowed Red Hat to evolve its relationships with the major hyperscalers, offering natively integrated cloud services, including Red Hat OpenShift on AWS (ROSA) and Azure Red Hat OpenShift (ARO). This is attractive to customers as they can use their spend commitments with AWS and Azure and offload the management of their application development environments to Red Hat, and AWS and Microsoft, respectively.

 

We suspect most of the business flowing through these integrated solutions comes from self-managed deployments and is driven by AWS, followed by Microsoft. Red Hat does not offer a first-party integrated service with Google Cloud as it does with the others, likely for two reasons. First, Google Cloud’s lack of relative maturity compared to AWS and Microsoft does not make enough of a business case to support this integration. Second, Google Anthos offers capabilities like orchestration, logging and observability, making it a complete Kubernetes platform that is more competitive with Red Hat OpenShift versus Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS).

 

Naturally, AWS and Microsoft welcome this type of relationship with Red Hat, as a customer deploying OpenShift will drive more IaaS consumption for the hyperscalers compared to EKS or AKS. Google Cloud would similarly like to maximize its customers’ Google Cloud Platform usage, but the company has placed big bets on Anthos and is using the multicloud control plane to differentiate from AWS and Microsoft.

 

As a result of these dynamics, we do not see Red Hat’s relationship with Google Cloud going in the same direction as its relationships with the other two hyperscalers, and suspect both companies will remain focused on supporting customers via managed services, at least for the foreseeable future. This includes Red Hat’s fully managed OpenShift service, OpenShift Dedicated, which runs on Google or AWS infrastructure and is fully managed by Red Hat.

Conclusion

As the IT landscape evolves and continues to emerge as a core component of business decision making, Red Hat is solutioning to address new use cases, leveraging existing assets while offering customers new tools they need to both simplify operations and develop applications more consistently.

 

New offerings unveiled at the Summit, such as OpenShift AI and Developer Hub, underscore this strategy and are designed to help customers get better at building and modernizing their existing assets and steps Red Hat can take to empower developers, through foundation models, seamless user interfaces (UIs) and sandbox trials, may also be enough to convert some RHEL customers to OpenShift as they look to take advantage of generative AI.

 

Informatica IDMC Innovations: Transforming Data Utilization in a Cloud-First Landscape

In two years, Informatica Data Management Cloud (IDMC) has grown from a platform with only a select number of products to a complete, comprehensive portfolio spanning Integration, Data Catalog, Data Quality, Master Data Management (MDM), 360 Applications, Governance & Privacy, and Marketplace. Rapidly closing in on the $1 billion mark in cloud annual recurring revenue (ARR), Informatica has undergone a major transformation with IDMC and continues to expand the platform to an emerging set of use cases beyond traditional integration and data warehouse modernization. Informatica has over 5,000 customers in more than 100 countries and roughly 6,000 employees worldwide.

TBR Perspective

Like other enterprise software companies born on premises, Informatica has embarked on a transformative journey to the cloud over the past few years. Leveraging the IaaS and PaaS assets of its strategic partners, Informatica has transitioned its business model from selling disparate, legacy products to a unified cloud platform — IDMC — that can support a broader set of use cases and ultimately speak to a maturing audience of customers who are moving away from bespoke integrations.
 
With the company now on track to exceed $600 million in cloud ARR by the end of 2023, it is fair to say that Informatica’s cloud-based platform approach is resonating in the market. However, the company faces the task of moving legacy PowerCenter customers to IDMC.
 
Although PowerCenter currently has thousands of customers, the number that will migrate to IDMC will ultimately be determined by Informatica’s ability to convince them that the quality of IDMC matches what they received on premises with PowerCenter.
 
To fast-track these migrations and unlock additional cross-selling opportunities once customers are in the cloud, Informatica has been investing millions of dollars in R&D to build out IDMC with enhanced capabilities and greater functionality, such as elastic serverless, additional prebuilt data classifications and auto generation, across the cloud product’s seven core modules.
 
While the current macroeconomic environment is stalling some customers’ cloud projects, Informatica will benefit long-term as customers consolidate multiple data solutions and start to look at data as their greatest business asset. These secular tailwinds, combined with a methodical product focus and partner execution, will help Informatica upgrade its customers to the cloud and better position IDMC as unique in the evolving data landscape.

Informatica Is Helping Customers Modernize PowerCenter at Their Own Pace

Through its Modernization Program, Informatica continues to offer customers a series of self-service products, partner services and support models, and financial incentives to fast-track customers’ adoption of IDMC in the cloud. In one of its latest updates, Informatica announced Cloud Data Integration for PowerCenter (CDI-PC), which essentially allows customers to use their PowerCenter assets in the cloud without migrating any actual metadata.
 
While Informatica would like to get its legacy customers on IDMC in the cloud, the company, despite no longer selling new licenses, will not end-of-life PowerCenter. Committing to these on-premises customers and not enforcing any sort of migration deadline is notable, and the new CDI-PC offering, available in 2H23, is designed to help customers modernize PowerCenter at their own pace — something that will be highly valued by customers.
 

 

Informatica Expands the Scope of IDMC with New Capabilities, Integrations and Industry Data Models

Given its Early Lead in AI for Data Management, Informatica Is Well Positioned to Address the Budding GenAI Opportunity

While currently the foundation of IDMC, CLAIRE has been key to Informatica’s strategy for years, initially supporting the company’s traditional product portfolio with more routine data management tasks like data discovery. Today, the AI engine has scaled to 23 petabytes of metadata and 54 trillion transactions per month, making it well suited to more emerging cloud-ready use cases such as data set recommendations and entity matching, while placing it squarely in front of the next big wave of IT automation: generative AI (GenAI).
 
Upon its general availability in mid-2023, analysts will be able to ask CLAIRE GPT questions directly through IDMC to automate not only unique data management tasks but also entire data workflows. For example, during the live demo of CLAIRE GPT in the opening keynote session, we were given the scenario of two banks needing to integrate their data sets, housed in different systems, such as Salesforce and SAP, for cross-sell analysis. In this scenario, a user can ask CLAIRE GPT to create a data pipeline that brings data from Salesforce and SAP into Customer 360.
 
In this scenario, it is clear how CLAIRE GPT can save data teams time, as instead of creating the data pipeline manually themselves, they can go directly to Customer 360 to analyze the newly consolidated data. Currently, we see data pipeline generation as the most critical use case, although it would not be surprising to see CLAIRE GPT extended to more intricate use cases such as data cataloging in the coming years. With the advent of generative AI, it is also easy to speculate about some of the longer-term opportunities.
 
For example, Informatica could put its own governance capabilities around large language models (LLMs) to help customers understand where the models are being used, their direct purpose and perhaps where model data is being used in training versus production. However, we contend these governance initiatives would require a large reliance on the Big Four advisory partners to complement Informatica’s technology-level expertise with the business governance capabilities required before these LLMs can, or should, be established.
 
Nonetheless, it is very early days for generative AI, and Informatica, along with the rest of the industry, is still waiting for the enterprise use cases for the LLMs frequently referenced by Amazon Web Services (AWS) (Nasdaq: AMZN), Microsoft (Nasdaq: MSFT) and Google Cloud (Nasdaq: GOOGL) to be more clearly established.
 
Once the market has a better grasp of the practicality of these models, the long-term opportunities for a company like Informatica around generative AI will become clearer. What we know now is that GPT technology can unlock new efficiencies for data teams, and Informatica’s early lead in AI for data management and vast ownership of intelligent metadata are reasons to be optimistic about the company’s use of generative AI as a vehicle for IDMC adoption.

As New Sustainability Regulations Take Hold, Informatica Helps Customers Make Sense of Their ESG Data

In its latest industry cloud push, Informatica announced IDMC for ESG, which offers fit-for-use data models to help customers make sense of their environmental, social and governance (ESG) data and comply with regulations. This includes the ESG reporting proposal from the Securities and Exchange Commission (SEC), which could take effect in early 2024, requiring publicly traded companies to disclose certain metrics such as climate targets and greenhouse gas emissions.
 
As the regulatory environment changes, particularly across G7 countries, businesses will be faced with the additional burden of meeting government standards, presenting inroads for Informatica to help customers collect, discover, tag, profile and catalog ESG data. IDMC for ESG follows other industry customizations for the platform, including retail, financial services, and healthcare & life sciences, and we expect Informatica will continue to expand in other industries and subverticals with additional data models, custom user interfaces and data quality rules to appeal to highly regulated customers.

In a Three-pronged Approach, Informatica Aligns with Hyperscalers and GSIs to Help Customers Modernize Data in the Cloud

The data cloud opportunity is best viewed through an ecosystem lens, recognizing that hyperscalers, pure play platforms and global systems integrators (GSIs) all play an equally critical role in supporting customers’ data strategies.
 
When a company like Informatica comes into a customer engagement, there is already a pre-existing hyperscaler-customer relationship, where the customer has identified portfolio gaps and opportunities to improve data management processes in the cloud. Leveraging this existing relationship, Informatica goes to market with GSI partners that understand the architectures of both Informatica and the hyperscaler to help navigate the relationship and address integration and implementation challenges.
 
In this model, it is clear to see how all parties benefit: the hyperscalers welcome Informatica customers who deploy solutions that maximize their underlying IaaS resources, while Informatica taps into the hyperscalers’ vast base of customers who have moved to the cloud and are looking for ways to turn data into a monetizable asset.
 
The GSIs are starting to build out their Informatica practices, and Informatica reports over 15,000 certified professionals across Accenture (NYSE: ACN), Deloitte, Capgemini, Cognizant (Nasdaq: CTSH), Wipro (NYSE: WIT), Tata Consultancy Services (TCS) and KPMG. These partners will play an increasingly important role in not only driving IDMC implementations but also supporting advisory-level use cases, such as change management, and helping customers adopt data-first strategies.
 
Two partnership dynamics for platform vendors to consider:

  1. Partnerships in the data cloud space are multifaceted: With different vendors specializing in a particular area of the data stack, multifaceted partnerships are common and a vendor like Informatica can benefit from two of its own partners working together. Perhaps the best example is the AWS-Snowflake (NYSE: SNOW) relationship. Despite offering competing data warehouse solutions, both companies work together to offer Snowflake’s Data Cloud, which delivers a cloud-native data warehouse, on AWS infrastructure. We suspect the Snowflake-AWS relationship will be a growth driver for Informatica, as Snowflake brings new use cases that are highly reliant on data management, such as analytics, to AWS infrastructure.
  2. Coopetition is real, and pure play platform vendors need to understand where they overlap with their partners: Coopetition, where competition and cooperation overlap, is inevitable in the cloud industry and is easy for vendors to dismiss. However, AWS, Microsoft and Google Cloud — all of which are relied on by the platform companies to go to market — are using their unmatched infrastructure scale to build up the stack. For context, one customer TBR spoke to said: “At some point, and I don’t know when that point is, but PaaS solutions will become more commoditized in what Microsoft or what AWS has to offer, but it’s not there yet for large companies. It might be there for a small company. And I wouldn’t have said that three years ago. But if you’re a small company who’s not heavily regulated like we are, you probably could go pretty native and be quite efficient.” It is true that hyperscalers lack the featurerich capabilities of a company like Informatica, but we expect these vendors will continue to use their IaaS footprint and expertise in areas like data storage, querying and analytics to move further into areas like data cataloging, profiling and governance.

 

As its Partner Strategy Goes From Breadth to Depth, Informatica Builds Tighter Integrations with Hyperscalers to Improve User Experiences

For a neutral platform company like Informatica, the ability to support the broadest set of platforms, tools and providers is a prerequisite. Compatible with data warehouses from the likes of AWS, Snowflake and Google Cloud up to the systems of record like SAP (NYSE: SAP) and Workday (Nasdaq: WDAY), Informatica has proved its ability to effectively partner across the data landscape.
 
Now, the company’s big focus becomes building better user experiences with partners by offering tightly integrated services natively through hyperscalers. One key example is Informatica making IDMC available as a native ISV service on Microsoft Azure. With this announcement, customers can access all of IDMC directly through the Azure console, using Azure Active Directory with single sign-on (SSO), thus eliminating the need for multiple credentials.
 
As one of only a handful of ISVs natively integrated with Azure, this announcement is a big milestone in the Informatica-Microsoft partnership, which remains unique as Informatica integrates not only with most aspects of Azure but also with the Dynamics 365 data model. We suspect the new integration will help Informatica further tap into the Microsoft base of customers who are going all in on Azure.
 
In addition to Microsoft, Informatica announced new integrations with Google Cloud, including MDM SaaS on Google Cloud as well as the launch of IDMC in Google Cloud’s Europe-based cloud regions to support customers required to keep data within European Union borders.
 
While it may be more difficult for Informatica to work with AWS due to how closely AWS integrates its services, which creates a degree of lock-in for customers, Informatica remains focused on offering customers seamless, native experiences as it does with other hyperscalers. At Informatica World 2023, Informatica launched Cloud Data Integration (CDI) Free for Amazon Redshift, providing customers with another integrated tool that can process up to 20 million rows for ETL (extract, transform, load) or 10 processing hours per month.
 
At first glance, one might assume AWS’ famed zero-ETL integration between Aurora and Redshift announced at re:Invent last year will box out third-party tools like CDI. However, we see “zero-ETL” as more of a marketing term, and the announcement essentially boils down to glorified data sharing, applicable within the AWS ecosystem. Therefore, there is still a clear path for Informatica to use tools like CDI to get data from outside AWS into Redshift, and once data is there, Informatica can offer additional data management capabilities.

Conclusion

Leveraging partners and organically developing new horizontal and vertical capabilities are helping Informatica position IDMC as the leading end-to-end cloud platform for data management. IDMC and the more comprehensive modules it supports are not only helping Informatica focus on technical use cases but also helping customers realize business outcomes, from meeting service-level agreements (SLAs) to better managing downtime.
 
This business value was highlighted in numerous customer examples during Informatica World 2023, from Burton, which needed to better understand customer data upon shifting its business model from B2B to B2C, to KPMG, which is leveraging Informatica to deliver software-led offerings to clients as managed services. Informatica will continue to organically invest to keep IDMC relevant in an evolving landscape, addressing demand from customers favoring comprehensive platforms over best-of-breed solutions while warding off infringement from AWS, Microsoft and Google Cloud.

EY Puts People First: Navigating Growth with Human-Centric People Advisory Services

In early 2023, TBR met with EY’s Kim Billeter, Americas People Advisory Services leader, Jonathan Sears, Global People Advisory Services Technology leader, PAS US-East leader, and Simon Stanaway, Americas Mobility leader, to discuss progress EY has made in growing People Advisory Services (PAS) within a highly competitive market and during a pandemic. The following reflects that discussion, follow-up discussions and emails, as well as TBR’s ongoing assessment of EY and the broader consulting and IT services space.

 

For a few years EY has led engagements with the idea that “humans at the center” provides the best path to successful and sustained business transformations. For the firm’s People Advisory Services (PAS) practice, this approach has resonated well with clients, fueling an ambition that EY could be earning $5 billion by 2027 from advising clients on workforce and HR transformation as well as people experience and mobility.

 

As a practice that provides specific solutions to businesses’ talent management problems and incorporates a range of related services across the rest of EY’s offerings — as well as advising the firm’s own leadership on HR strategies and opportunities — EY PAS has steadily evolved from offering consulting-heavy services with complementary technology solutions to providing an extraordinarily comprehensive array of solutions and services, touching on — and accelerating time to value of — every aspect of talent within an organization. The full breadth of services and the depth of thinking through how every aspect of an enterprise can be positively changed through HR transformation necessitates focusing on a few elements.

Consistent, Steady Strategy — and Robust Results

In TBR’s discussion with Kim Billeter, Americas People Advisory Services leader; Simon Stanaway, Americas Mobility leader; and Jonathan Sears, Global People Advisory Services Technology leader, PAS US-East leader, some of the core principles around HR transformation and people management remained the same as when TBR met with EY PAS in October 2020:

  • When digital transformations fail to meet expectations, it is not because the technology failed, but because the people did.
  • For EY (or any similar consultancy) to serve its clients, the firm must combine a global mindset to address global clients’ cross-border issues (travel, tax, remote working) with local knowledge around culture and compliance.
  • Almost every client transforms iteratively — one step at a time — so success breeds more success, and dashed expectations diminish chances of doing more transformations.

 

A few quick numbers on EY’s PAS business:

  • 15,200 dedicated staff
  • Over $2 billion in global revenue (in 2022)
  • Will be part of the $10 billion investment EY has committed to “technology, sustainability, strategy, and audit” over the next three years, according to EY PAS leaders

 

Structurally, PAS includes four transformative solutions areas: Organization and Workforce Transformation, HR Transformation, People Experience, and People Mobility. Underpinning those areas are at least 16 components of an Org & People Platform, including digital assets such as the EY Skills Foundry, EY Global Payroll Strategy Accelerator, and EY Change Insights.

 

Turning to the business of PAS within EY, the firm’s leaders noted that while only 1% of PAS revenue currently comes from managed services contracts, the firm expects this figure to increase to 15% in the next five years. Consulting and systems implementation engagements currently contribute around 80% of PAS revenue — a figure that is projected to remain about the same in five years. “As a Service” commercial arrangements generate the remaining revenue.

 

In TBR’s view, expanding opportunities around managed services within PAS dovetails perfectly with the firm’s overall managed services strategy and reflects emerging buyer preferences for managed services pricing and contracts. EY’s PAS leaders also noted that geographic revenue splits have remained fairly constant over the last few years, with Americas around 44%, EMEIA at 39% and APAC the smallest at 17%.

 

TBR believes EY has the most comprehensive and structured set of offerings centered on what could be described broadly as people and workforce consulting. Big Four peers and HR-centric niche players may have more developed capabilities in specific areas, but no other firm combines an almost exhaustive range of offerings and solutions as neatly organized, managed and brought to market.
 

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Inspire, Lead, Care, Empower, Build and Collaborate

During the discussion with TBR, EY PAS leaders stressed the importance they placed on leveraging research the firm conducted along with Oxford University, particularly their findings around “six levers [that] should be brought to life through deliberate design from the start and reflection on progress across all phases of” a successful business transformation.

 

Billeter explained that EY’s Transformation EQ approach could include immersive sessions — preferably at an EY wavespace — during which the client would assess current standing across the six levers: inspire, lead, care, empower, build and collaborate. Billeter and her colleagues stressed the criticality of coming back to all six levers “during the transformation journey” and described successful transformations as being more iterative than huge leaps forward.

 

TBR questioned whether these six levers could be used as stand-ins for KPIs to measure success across a transformation engagement. Billeter explained that EY’s “value isn’t hitting exact KPIs but getting” to a successful transformation faster and using iterative changes to continually set up the client for the next transformation. TBR has frequently heard HR and digital transformation consultants stress various aspects embedded in EY’s six levers, usually with a heavy emphasis on the approach or idea that resonates most with that consultant’s strength.

 

With EY’s approach, TBR sees a more comprehensive thinking through of every aspect of change — from “clearly communicate to people why change is needed” to “use technology to quickly show what the vision means” to “work with the influencers in the workforce to cocreate new ways of working.” This approach, based on research and EY’s experience, also keeps humans at the center.

The Currency of the Future

EY PAS leaders discussed the firm’s People Mobility practice, starting with an ambition to reach $1.5 billion in annual revenue by 2027 across Immigration, Core Mobility, and Mobility Managed Services, building on a base of around $1 billion over the last year. The leaders noted fast growth in the Immigration practice and a desire to move more engagements toward Mobility Managed Services, echoing the larger firm’s overall managed services strategy.

 

In addition, the EY Mobility Pathway solution now has more than 1,000 clients, up from just 140 when EY PAS leaders briefed TBR in October 2020. Within the Organization & Workforce Transformation practice area, Billeter said the EY Skills Foundry platform, in collaboration with around 30 technology partners, had resonated with clients’ “number one [talent management] concern: align and future-proof skills,” which Billeter described as the “currency of the future.”

 

In TBR’s research around learning and development programs, few consultancies have consistently migrated their own training success to clients’ environments. If EY PAS can continue building on its early adoption by clients of EY Skills Foundry — particularly if the firm expands the kinds of clients into new verticals and develops a broad, but applicable, set of upskilling and reskilling training — this could become a vital anchor into clients’ talent management leaders and provide EY with additional insights into how clients are changing and what consulting and technology needs may be on the near horizon.

 

Reflecting on an initiative that attracted considerable EY leadership attention pre-pandemic, TBR asked about the current state of badges, an internal program to upskill and reskill professionals using training to become proficient in specific technologies, services, or related subjects. Absent frequent marketing mention of badges, TBR wondered if the effort had fizzled out.

 

Quite to the contrary, according to EY PAS leaders, who explained that, “Our badges program has gone from strength to strength in PAS, with over 13,500 badges awarded to PAS professionals globally since the Badge program’s inception, over 2,800 of them earned this fiscal year [July 2022 to now]. We have broadened our badge offering to our people to ensure they have the opportunity to upskill in areas that are directly relevant to their roles, such as Analytics, Design Thinking, Inclusion and Belonging and Sustainability, as well as heavily in demand future-focused technology skills in the market like Cloud and Quantum Computing.”

 

EY PAS leaders continued, adding that, “PAS also has a curated path to both the Tech MBA and the Sustainability MBA that we offer through Hult University, ensuring our people can see an achievable path through their work to this qualification. PAS has even created our own Change Management badge in partnership with Hult under the Transformation subdomain, which is owned and curated by our global leadership, and in its first year we’ve had 1,523 completions, and another 2,771 people initiate the badge.”

 

In TBR’s view, EY’s sustained commitment to this effort reinforces EY’s “humans at the center” ethos. Aside from financial compensation, few job elements rank higher for most employees than continued professional development and consistent recognition for work well done. Badges may have seemed like a simple gamification of learning and development when EY launched the program, but continuing to invest in and evolve badges demonstrates a substantial commitment to its people.

Powering Transformation Through Granularity

In a special session with Sears, TBR asked about EY’s Organization & Talent Hub (OTH), a SaaS-like offering that seemed, at first glance, to be more about EY’s technology than its consulting expertise. Sears set TBR straight. The OTH is a suite of “cloud-based tools to enable real-time access to data and insights to accelerate workforce decisions,” but is not sold through a SaaS engagement, although the EY proprietary software does stay with the client.

 

Sears explained that EY uses a variety of tools to scan a client’s various IT and organizational layers, scan client data, and then model out various scenarios on potential future states of the organization. According to Sears, the OTH suite “offers the granularity necessary for forecasting workforce needs, planning the new organization, selecting and retaining talent, while tracking workforce movements as plans are implemented.”

 

While OTH is unquestionably a software-enabled solution, Sears stressed the consulting underpinning every OTH deployment and added that the firm has seen success incorporating OTH into M&A consulting engagements. Like the rest of EY’s PAS portfolio, OTH is extraordinarily comprehensive: the governance elements alone implicate an enterprise’s transformation management office as well as HR, operations, finance and IT functions. In reviewing Sears’ presentation and reflecting on the discussion, TBR can confirm EY has seemingly thought of every angle needed to “power … organization restructuring, talent realignment, and cost-savings visibility.”
 

What Is and What Will Be

Based on the extensive discussions with EY PAS leaders, including a recent session on the implications of generative AI, TBR will be watching three developments over the next year:

  • EY’s Skills Foundry could set the standard to address growing demand for knowledge development in emerging technologies. Skills is the “currency of the future,” compelling EY and its Big Four peers and other competitors to focus on delivering around clients’ skills development, including measuring progress, recalibrating learning and development initiatives, and maintaining trust. In TBR’s Digital Transformation Voice of the Customer research, consulting clients have increasingly called for more assistance bringing their own people up to speed on emerging technologies, enabling the clients to fully leverage the technologies they purchase.
  • In-person immersive workshops return to set the stage for transformation initiatives. HR professionals have been perhaps the most stressed and overworked knowledge management employees in the past three years (an exaggeration? Consider the rush to all-remote working at the start of the pandemic, then back-to-office policies, followed by spiking attrition, and now a wave of tech sector layoffs, all managed by HR professionals). If any group deserves a couple days of understanding the art-of-the-possible in an off-site setting — maybe seeing the intricacies of the OTH — it is HR professionals. TBR anticipates a resurgence of investments in physical spaces for innovation and iterative transformation sessions, even if the 2023 wave does not match the pre-pandemic tsunami.
  • The focus on cost combined with AI and automation will severely challenge enterprises’ efforts to build employee loyalty. EY PAS may find a need to subtly position its value proposition around sustaining trust — across employees, leaders, and even ecosystem partners — as everyone worries about their own value in an AI future.

 

According to TBR’s 4Q22 Global Delivery Benchmark, which tracks 14 IT services vendors’ resource management strategies: “Finding bright spots that are not simply tactical and short term, but rather facilitate a long-term transition toward becoming a platform-enabled business in times of crisis, has compelled vendors to double down on their investments in AI. For a while, vendors’ AI investments have been largely geared toward adding skills and capabilities in areas such as data science and data engineering through acquisitions, as it remains highly ineffective for vendors to invest in and groom AI-ready talent internally. At the same time, there are many business decisions that depend on more than just managing structured data. To extract the most value from AI investments, vendors must consider addressing the economies of change management internally and offering it ‘as a Service’ while taking incremental steps toward adopting sophisticated automation systems such as GenAI.

 

“Carefully integrating AI skills and IP will be critical to vendors’ ability to secure future investments. As buyers expect GenAI to help them generate better customer insights and improve employee productivity, vendors must carefully manage buyer expectations, as simply adding another, more sophisticated technology to a broken process will likely skew results.”

 

One final note: EY’s PAS practice may be one of the biggest beneficiaries of the firm’s decision to forgo a split (see the upcoming TBR special report on the end of Project Everest). EY PAS leaders repeatedly told TBR that PAS professionals work across all of the firm’s practices and benefit from doors opened by colleagues in EY’s strategy consulting, tax, audit and cybersecurity practices. In TBR’s view, the firm’s ability to pull together a truly holistic set of services for enterprise clients strengthens EY’s brand and value. And if humans are at the center, PAS is at the center of that value proposition.

SoftwareOne Brings Intimate Knowledge of Clients to Meet Software and Services Needs

In late April, TBR attended SoftwareOne’s inaugural Global Analyst Summit in Milwaukee for two days of presentations, break-out sessions, and — because it is Milwaukee — baseball. The following reflects the presentations and discussions in Milwaukee, as well as TBR’s ongoing research around SoftwareOne and its peers in the IT services, cloud services and VAR markets.

Accenture and SAP Amplify the Value of the Ecosystem Through the Lenses of Compressed Transformation

Compounding the emphasis on the services and technology capabilities of Accenture and SAP at the Accenture SAP Leadership Council was a parade of client presentations that reinforced the ecosystem theme in large part through its ecosystem’s diversity, with clients representing the high-tech, manufacturing, pharmaceutical, telecom and utilities industries, among others.

Why Generative AI Should Be Top of Mind for Business Leaders

TBR dives into predictions about generative AI and its very real disruptions: Today, organizations are exploring ways to leverage GenAI to optimize how they operate the front lines of their customer service processes via contact centers, an industry that currently employs over 11 million individuals; and tomorrow, the technology will provide an alternative to enterprises’ IT departments, which must frequently tap third-party services partners for custom software development, a market that was valued at nearly $25 billion in 2022.

How Telecom Infrastructure Service Companies Can Win in 2023

In this white paper, we apply our expertise in the market and our learnings from those engagements to provide a playbook for how TIS vendors can win in 2023 and beyond. We analyze the trends facing the market, outline how we believe vendors can align themselves to compete, and share tactical steps on how to put this playbook into action.

State of Competitive (CI) & Market Intelligence (MI) in 2023

We compiled this report by surveying our TBR client service teams in February 2023 to better understand what is going on within the CI/MI organizations they serve. We captured data inputs on approximately 50 large global technology firms, collectively representing billions of dollars in annual revenue and millions of total employees.

Implementing the ‘Oracle Playbook’ Could Yield Billions in Salesforce Profit

By following the “Oracle playbook” and reducing costs, Salesforce could make billions in profit, leading to a change in financial focus across the industry, with revenue growth becoming a metric, rather than the only metric.