2020 was a breakout year for SaaS providers – and a tough one for a lot of on-premises software vendors. SaaS (or mainly SaaS) providers like Salesforce, Zoom, Microsoft had record growth and some of the best quarters in their history, while other mainly on-premises software providers have had poor quarters. SAP is even accelerating the transition to a 100% cloud-based business as their revenue suffers. The race to deploy SaaS tools and platforms is well and truly happening. Many of the usual ROI models and business cases have been abandoned as the need for agility – to drive business change at pace trumps most other business needs. Ecosystm data validates this
This trend will continue in 2021 – in fact, we expect it to accelerate. Most SaaS solutions (such as CRM, ERP, SCM, HRM etc.) are implemented by less than 30% of businesses today – which means the upside for the SaaS providers is huge.
Hybrid Cloud Will Finally Become Mainstream
The sudden move to remote working in 2020 forced most organisations to increase their use and reliance on cloud-based applications. Employees have relied on collaborative tools such as Zoom, Microsoft Teams and WebEx to conduct virtual meetings, call centre workers had to respond to calls from home – most if not all relying on cloud-based apps and platforms. This trend is set to continue going forward. Ecosystm research finds that 44% of organisations will spend more on cloud-based collaboration tools in the next 6-12 months.
But the forced adoption of these tools has also prompted many – especially larger organisations – to worry about losing control of their IT resources, including worries related to security and compliance, cost, and reliability. As for the latter, both Microsoft Azure and Zoom experienced outages after the pandemic hit and this has made many organisations wary of relying too much on a single public cloud platform. Ecosystm therefore expects a sharp increase in focus on hybrid cloud platforms in 2021 as IT Teams seek to regain control of the apps and services their employees rely the most upon.
Carrier Investment in 5G Will Give Edge Computing a Boost
The gap between the hype around edge computing and the actual capabilities it offers will narrow in 2021 as 5G networks are built out. One of the most promising methods of deploying edge computing involves carriers embedding cloud capacity in their own data centres connected to their 5G networks. This ensures data does not unnecessarily leave the network, reducing latency and preserving bandwidth. This combination of 5G and the Edge will be of particular benefit to applications that until now have faced a trade-off between mobility and connectivity. Over the last twelve months, the major hyperscalers announced their 5G edge computing offerings, and some of the major global telecom providers have served as test cases by partnering with at least one hyperscaler and will likely add more over the next year. Expect this ecosystem to expand greatly in 2021.
Cloud environments can benefit from pushing computing-heavy workloads to the Edge in much the same way as IoT and provides a great platform for managing the edge computing endpoints. The flipside of pushing containers to the Edge will be the increased complexity and the fact that the number of attack surfaces will increase. Containerisation must therefore be deployed with security at its core.
Stateful Applications Will Move to the Cloud with Containers and Orchestration
As organisations seek to migrate workloads and applications between platforms in an increasingly hybrid cloud environment, the need for “lifting and shifting”, refactoring and partitioning applications will increase. These approaches all have their shortcomings, however. Lifting and shifting an application may limit its functionality now or in the future; refactoring may take too long or be too costly; and partitioning is often not feasible or possible. A better approach to this task is to modernise the applications to make use of application containers like Docker, Windows Server Containers, Linux VServer and so on, to enable a faster and more seamless way to migrate applications between platforms. We also see container orchestration environments like Kubernetes and containerised development and deployment platforms like IBM’s Cloud Paks.
How these technologies are used to deploy stateful applications in multicloud environments will evolve. A raft of container management platforms, based on Kubernetes, are being released to simplify what was once a complex DIY process. New entrants will look to challenge the cloud hyperscalers, virtualisation giants, and Kubernetes specialists. The emerging features that previously required cobbling together third-party tools, like service mesh, data fabric, and machine learning, will speed up containerisation of stateful core applications. The deployment of containers on bare metal rather than in virtualised environments will also gather pace. The most challenging task will be delivering containerised applications at the Edge, forcing developers and platform providers to create inventive solutions.
Serverless will take us a step closer to NoOps
As the application lifecycle speeds up and the distinction between development and operations shrinks, the motivation to adopt serverless computing will grow in 2021. While NoOps, the concept that operations could become so automated that it fades into the background, is still a distant goal, serverless computing will make a stride in that direction by abstracting the application from the infrastructure. Having seen the agility benefits of a microservices architecture, many DevOps teams will experiment with breaking services down further into functions. Moreover, the pay-as-you-go model of serverless will appeal to OpEx driven organisations. Expect stories of bill shock, however, as were seen in the early days of cloud adoption. While AWS Lambda is currently considered the serverless industry standard, it is likely that in 2021, Microsoft, Google, and IBM will ramp up efforts in this space. Each of these providers will build out their offering in terms of languages supported, event triggers, consumption plans, machine learning/AI options, observability, and user experience.
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AI Will Move from a Competitive Advantage to a Must-Have
The best practices and leading-edge technology-centric implementations, over the years gives a very good indication of market trends. In 2018 and 2019 AI-centric engagements were few and far between – they were still in the “innovation stage” as trials and small projects. In 2020, AI was mentioned in most applications, showcased as best practices. AI is currently a competitive advantage for businesses. CIOs and their businesses are using AI to get ahead of their competitors and highlighting these practices for external recognition.
That also means that it is a matter of time before AI becomes a standard practice – processes are smart “out-of-the-box”; intelligent applications are an expectation, not the exception; systems learn because that is how they were designed, not as an overlay. If your competitors are using AI today to get ahead of you, then you need to also use AI to catch up and keep up. In 2021, having a smart business will not get you ahead of the pack – it will move you into it.
AI Will Thrive in Areas where the Cost of Failure is Low
While organisations will be forced to adopt AI to remain competitive, initial exploration of AI solutions will be in areas that they consider low risk. The Financial Services, Retail, and other transaction-oriented industries will use AI to drive improved personalisation, increase customer retention, and improve their ability to lower risk and combat fraud. These are process-driven areas, where manual processes are being enhanced and enriched by AI. Although machine learning and other AI technologies will help improve the speed and quality of services, they will not be a replacement for many of the more complex business practices that companies and their employees frequently overlook to automate. The ‘low hanging fruit’ to add AI to will come first, with various degrees of success.
There will be industries and processes where organisations will be more skeptical about adopting AI. If Google finds a wrong translation or gives a wrong link, it is not a big concern, unlike a wrong diagnosis or wrong medication. In areas that are crucial to our well-being – such as healthcare – AI does not yet have the trust for acceptance of society. There are still questions around ethics and algorithm concerns.
Technology Providers Will Stop Talking about AI
Technology vendors highlight what they consider their key differentiators, that show that they are ahead of the game. When every piece of software and hardware is intelligent, vendors will stop talking about the fact that they are intelligent. This may not fully happen in 2021 – but ENOUGH technology will be intelligent for those who have not yet made their software smart to understand that they cannot talk about its intelligent capabilities as that just shows they are behind the market.
The good news is that the less we hear about AI, the more intelligent applications will become. AI is quickly becoming a core capability and a base expectation. Systems that learn and adapt will be standard very soon – but be wary, as significant market changes can break these systems! Many companies learned that the pandemic broke their algorithms as times were no longer “normal”.
Enterprises Will Seek Hyperautomation Solutions
RPA will increasingly become part of large enterprise application implementations. Technology vendors are adding RPA functionality either organically or through acquisitions to their enterprise application suites. RPA often works in conjunction with major software products provided by companies such as Salesforce, SAP, Microsoft, and IBM. Rather than having an operative enter data into multiple systems, a bot can be created to do this. Large software vendors are taking advantage of this opportunity by trying to own entire workflows. They are increasingly integrating RPA into their offerings as well as competing directly in the RPA market with pureplay RPA vendors.
As the RPA offerings continue to mature, enterprises seek to scale implementations and to automate non-repetitive processes, which require more intelligence. They will seek to automate more processes at scale. They will demand solutions that process unstructured data, handle exceptions, and continuously learn, further increasing productivity. Intelligent automation typically incorporates AI, particularly voice and vision capabilities and uses machine learning to optimise processes. Hyperautomation turbo charges intelligent automation by automating multiple processes at scale – and will become core to digital transformation initiatives in 2021.
Businesses Will Put “Automation Targets” in Place
2020 was the year that many businesses started seeing some broad and tangible benefits from their automation initiatives. Automation was one of the big winners of the year, as many businesses took extra steps to take humans out of processes – particularly those humans that had to be in a specific location, such as a warehouse, the finance team, the front desk and so on (because of the pandemic, they were often working at home instead). Senior management is seeing the benefits of automation, and they will start to ask their teams why more processes are not automated Therefore we will start to see managers put targets around a certain percentage of tasks automated in an area – e.g. 70% of contact centre processes will be automated, 90% of the digital customer experience for a certain outcome will be automated and so on. Achieving these numbers may not be easy, but the targets will change the mindset of people designing, implementing, and improving processes.
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In Australia, Atlassian has made work from home a permanent option for their employees. They will continue to operate their physical offices but have given employees the option to choose where they want to work from.
Some organisations have gone beyond announcing these measures. Slack has talked about how they are evolving their corporate culture. For example, they have evolved their hiring policies and most new roles are open to remote candidates. Going forward, they are evaluating a more asynchronous work environment where employees can work the hours that make sense for them. In their communique, they are open about the fluid nature of the work environment and the challenges that employees and organisations might face as their shift their work models.
Organisations will have to evaluate multiple factors before coming up with the right model that suits their corporate culture and nature of work, but it appears that tech companies are showing the industry how it can be done.
#2 Tech companies evolve their capabilities to enable the Future of Work
Right from the start of the crisis, we have seen organisations make technology-led pivots. Technology providers are responding – and fast – to the changing environment and are evolving their capabilities to help their customers embrace the digital Future of Work.
Many of these responses have included strengthening their ecosystems and collaborating with other technology providers. Wipro and Intel announced a collaboration between Wipro’s LIVE Workspace digital workspace solution and the Intel vPro platform to enable remote IT support and solution. The solution provides enhanced protection and security against firmware-level attacks. Slack and Atlassian strengthened their alliance with app integrations and an account ‘passport’ in a joint go-to-market move, to reduce the time spent logging into separate services and products. This will enable both vendors to focus on their strengths in remote working tools and provide seamless services to their customers.
Tech companies have also announced product enhancements and new capabilities. CBTS has evolved their cloud-based unified communications, collaboration and networking solutions, with an AI-powered Secure Remote Collaboration solution, powered by Cisco Webex. With seamless integration of Cisco Webex software, Cisco Security software, and endpoints that combine high-definition cameras, microphones, and speakers, with automatic noise reduction, the solution now offers features such real-time transcription, closed captioning, and recording for post-meeting transcripts.
Communication and Collaboration tools have been in the limelight since the start of the crisis with providers such as Zoom, Microsoft Teams and Slack introducing new features throughout. In August Microsoft enhanced the capabilities of Teams and introduced a range of new features to the Teams Business Communications System. It now offers the option to host calls of up to 20,000 participants with a limit to 1,000 for interactive meetings, after which the call automatically shifts to a “view only” mode. With the possibility of remote working becoming a reality even after the crisis is over, Microsoft is looking to make Teams relevant for a range of meeting needs – from one-on-one meetings up to large events and conferences. In the near future, the solution will also allow organisations to add corporate branding, starting with branded meeting lobbies, followed by branded meeting experiences.
While many of these solutions are aimed at large enterprises, tech providers are also aware that they are now receiving a lot of business from small and medium enterprises (SMEs), struggling to make changes to their technology environment with limited resources. Juniper has expanded their WiFi 6 access points to include 4 new access points aimed at outdoor environments, SMEs, retail sites, K-12 schools, medical clinics and even the individual remote worker. While WiFi 6 is designed for high-density public or private environments, it is also designed for IoT deployments and in workplaces that use videoconferencing and other applications that require high bandwidth.
#3 The Future of Work is driving up hardware sales
Ecosystm research shows that at the start of the crisis, 76% of organisations increased investments in hardware – including PCs, devices, headsets, and conferencing units – and 67% of organisations expect their hardware spending to go up in 2020-21. Remote working remains a reality across enterprises. Despite the huge increase in demand, it became difficult for hardware providers to fulfil orders initially, with a disrupted supply chain, store closures and a rapid shift to eCommerce channels. This quarter has seen a steady rise in hardware sales, as providers overcome some of their initial challenges.
Apart from enterprise sales, there has been a surge in the consumer demand for PCs and devices. While remote working is a key contributor, online education and entertainment are mostly prompting homebound people to invest more in hardware. Even accessories such as joysticks are in short supply – a trend that seems to have been accelerated by the Microsoft Flight Simulator launch earlier this month.
The demand for prime real estate has been hit by remote working and organisations not renewing leases or downsizing – both because most employees are working remotely and because of operational cost optimisation during the crisis. This is going to have a longer-term impact on the market, as organisations re-evaluate their need for physical office space. Some organisations will reduce office space, and many will re-design their offices to cater to virtual interactions (Figure 1). While now, Ecosystm research shows that only 16% of enterprises are expecting a reduction of commercial space, this might well change over the months to come. Organisations might even feel the need to have multiple offices in suburbs to make it convenient for their hybrid workers to commute to work on the days they have to. Amazon is offering employees additional choices for smaller offices outside the city of Seattle.
But the Future of Work and the rise of a distributed workforce is beginning to show an initial impact on the real estate industry. Last week saw Pinterest cancel a large office lease at a building to be constructed near its headquarters in San Francisco. The company felt that it might not be the right time to go ahead with the deal, as they are re-evaluating where employees would like to work from in the future. Even the termination fees of USD 89.5 million did not discourage them. They will continue to maintain their existing work premises but do not see feel that it is the right time to make additional real estate investments, as they re-evaluate where employees would like to work from in the future.
There is a need for organisations to prepare themselves for the Future of Work – now! Ecosystm has launched a new 360o Future of Work practice, leveraging real-time market data from our platform combined with insights from our industry practitioners and experienced analysts, to guide organisations as they shift and define their new workplace strategies.
Ecosystm Principal Advisors; Tim Sheedy (Technology), Ravi Bhogaraju (People & Organisations), and Mike Zamora (Infrastructure & Offices) provided holistic view of what the Future of Work will look like.
The market is growing rapidly with large global RPA specialists such as UiPath, Automation Anywhere, Blue Prism and AntWorks experiencing high rates of growth in the region.
RPA vendors in Asia Pacific, are typically addressing immediate, short-term requirements. For example, healthcare companies are automating the reporting of COVID-19 tests and ordering supplies. Chatbots are being widely used to address unprecedented call centre volumes for airlines, travel companies, banks and telecom providers. Administrative tasks increasingly require automation as workflows become disrupted by remote working.
Companies can also be expected to scale their current deployments and increase the rate at which AI capabilities are integrated into their offerings
RPA often works in conjunction with major software products provided by companies such as Salesforce, SAP, Microsoft and IBM. For example, some invoicing processes involve the use of Salesforce, SAP and Microsoft products. Rather than having an operative enter data into multiple systems, a bot can be created to do this.
Large software vendors such as IBM, Microsoft, Salesforce and SAP are taking advantage of this opportunity by trying to own entire workflows. They are increasingly integrating RPA into their offerings as well as competing directly in the RPA market with pureplay RPA vendors. RPA may soon be integrated into larger enterprise applications, unless pureplay RPA vendors can innovate and continually differentiate their offerings.
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The impact of the cost-cutting measures that organisations are implementing, on CDOs and CIOs has been discussed in my report Managing Costs in the New Normal, where I provide guidance on how to address the necessary cuts.
Ina well-run online presence, retailers acquire a significant amount of data about their customers’ online behaviour. Data such as customer’s purchase history as well as how they traverse the site, how long they remain on the site and how they leave – often without purchasing. The challenge is how you can collect and use this data to improve the customer experience (CX) and increase sales in our new normal.
SRG, trading under banners such as Super Cheap Auto, BCF and Rebel across Australasia, has adopted a Salesforce tool called Einstein to address this challenge. SRG is using this AI engine to present product recommendations in several contexts across a customer’s online journey.
The impact of COVID-19 means overall sales across the group has declined. At the same time, online sales have grown to be generating almost 20% of the overall sales. Within these online sales, the AI recommendation engine has directly influenced 1 in 5 customer purchases.
SRG has developed a significant base of customer data since they introduced omnichannel and club offers; and are now seeing the return from this investment. Recommendation engines operate best when they have quality data in volume – and the proportion of and growth in, online customers using these recommendations is a guide to the quality of the platform.
Coping with Increasing Online Demands
Ecosystm research finds that over 56% of retailers are increasing their use of digital technologies for CX and will continue to invest after the immediate crisis. As always, getting the right value from this increased expenditure will be critical to a retailer’s price competitiveness and profitability.
With online sales growing dramatically, SRG’s online share of sales has more than doubled over April and May, the potential return from an engaging online CX has increased significantly. In turn, this has increased the importance of the online CX to a retailer’s competitive positioning and market share.
Tech leaders will be expected to provide direction on how to achieve this improvement, with AI engines offering an increasingly important tool in increasing the speed of response to changing customer behaviours.
With their mapping of customer journeys, SRG has been able to target specific stages in the journey for the use of the AI recommendation engine. Their focus on increasing the size and value of a customer’s basket provides the explicit measure of success. And SRG’s customers are showing their enthusiasm for these recommendations. The share of online sales influenced by the AI engine grew by over 600% in the past 12 months.
Customer expectations are continually being redefined by their experiences across the online environment, not just by retailers. In our new normal, with online becoming significantly important, retailers need to be consistently improving their offer to remain competitive.
Our study results shows that retailers are taking this step and will need to pay careful attention to their cost base and profitability while making these changes. SRG’s success with the AI engine shows that this is possible.
Lessons to Learn
COVID-19 has changed customer behaviour significantly, and tech leaders are identifying new tools and processes to improve their CX in line with these changes. SRG has continued its customer-focused omnichannel approach by adopting the Salesforce Einstein AI engine. By using one of their key sales metrics – size and value of basket – they have been able to assess the contribution of this tool.
There are some clear lessons for other retailers from their experience:
Be very clear on why you are introducing the new tool – how you are going to achieve value.
Understand the foundation that you need, to introduce new technology. You will find being successful using AI without quality data in volume will be difficult.
Experiment and learn quickly from experience gained. In this cost-constrained world, don’t over-commit to a new approach without evidence.
Use products and services that have a low cost of entry and a variable cost model. Cloud services generally provide this cost model.
Our research, along with press release such as SRG’s, show that retail leaders are continuously improving their customer engagement. As a tech leader, you need to be aware that customers will vote with their clicks, for retailers that are delivering.
And getting those non-essential costs out has never been more critical.
More insights on Retail organisations and their most significant response to COVID-19, can be found in the Managing IT Costs in The New Normal – Report
Initiatives such as the UK Crown Commercial Service (CCS) and Google Cloud agreement will also help in the recovery phase. This allows qualified public sector agencies to avail of a discounted price for their Google Cloud deployments. Earlier in the year CCS entered into a price arrangement with Microsoft as well. If Cloud has to be the vehicle for economic recovery, such arrangements will benefit cash-strapped public sector organisations.
The recovery will also require the entire technology ecosystem to engage not only with large enterprises but also small and medium enterprises (SMEs). Alibaba Cloud announced an investment of US$ 283 million to revamp its global partner program. They plan to introduce new partner-customer communication processes to enhance response time and bring more opportunities to independent software vendors (ISVs) managed service providers (MSPs) and system integrators (SIs) as partners.
Europe Emerging as a Cloud Hub
As a fallout of the current political scenario, Europe is pushing for more cloud independence and to become an innovation hub as a vendor-neutral network for cloud computing providers and their customers.
GAIA-X Foundation is a federated data infrastructure project initiated to build a unified system of cloud and data services to be protected by EU Laws – including GDPR, the free flow of non-personal data regulation and the Cybersecurity Act. France and Germany kicked off the GAIA-X cloud project last year and the system is open for participation to national and European initiatives for exchange of data across industries and services such as AI, IoT and data analytics. GAIA-X took another step towards becoming a real option for European organisations with the establishment as a legal entity in June. Various organisations – including Dassault, Orange, Siemens, SAP, Atos, Scaleway and Deutsche Telekom are a part of this non-profit platform, working together on Cloud applications, high-performance computing as well as edge systems. The project is expecting to release a working model by early 2021 and will be further enhanced in phases.
Global Cloud leaders are also focusing on expanding their presence in Europe. In February, Microsoft announced a new data centre in Spain leveraging Telefónica infrastructure. In a similar move, Google Cloud announced its plans to expand in the region in partnership with Telefónica. Telefonica and Google are expected to jointly work on Spain’s digitalisation through edge infrastructure and 5G for consumers and telecom infrastructure.
Cloud Providers Bolstering their Cybersecurity Capabilities
2020 has witnessed a host of cybersecurity threats and data breaches. While Cloud providers have always evolved their cybersecurity capabilities, it has become important for them to become vocal about these measures to build trust in the industry.
To complement the Microsoft Azure IoT security, Microsoft acquired IoT security specialist CyberX, last month. The acquisition will enable greater security for the IoT devices connected to the Microsoft network and will help their customers to gain visibility through a map of devices thus allowing them to gather information on security risks associated with thousands of sensors and connected devices. This will enhance smart grid, smart manufacturing and digital assets and profiles and reduce vulnerabilities across production and supply chain.
In another move which will benefit the ISV and SI ecosystem, NetFoundry’s zero trust networking API is now available on RapidAPI. RapidAPI’s marketplace enables developers to easily find, connect to, and manage the APIs they need to build a range of applications. Now the ISV and developer community can access NetFoundry’s software-only, zero trust models on RapidAPI.
More Partnerships between Software/Industry Solutions Providers and Cloud Providers
The COVID-19 crisis has had a far-reaching impact on several industries. The technologies that are expected to see the most uptake are IoT and Future of Work technologies.
Ecosystm Principal Advisor, Kaushik Ghatak says, “COVID-19 has brought to the fore the need for managing risks better. And the key to managing risks is to have better visibility and drive data-driven decisions; the sweet spot for IoT technologies.”
Last week, Microsoft and Hitachi announced a strategic alliance to accelerate the digital transformation of the Manufacturing and Logistics industries across Southeast Asia, Japan and North America. The first solutions are expected to be made available in Thailand as early as this month. Hitachi brings to the table their industry solutions, such as Lumada, and their IoT-ready industrial controllers HX Series. These solutions will be fully integrated with the Microsoft cloud platform, leveraging Azure, Dynamics 365 and Microsoft 365.
Another sector that has seen significant disruption is Real Estate. Ecosystm Principal Advisor, Andrew Milroy in his blog Proptech: Driving Digital Transformation in the Wake of COVID-19 sees a real opportunity for the sector to transform. “Many activities within the property ecosystem have remained unchanged for decades. There are several opportunities for digital engagement and automation in this sector, ranging from the use of robots in construction to the ‘uberisation’ of the residential property customer journey.”
June saw Honeywell and SAP partner to create a joint cloud-based solution based on Honeywell Forge and SAP cloud. The cloud solution is aimed at real estate operators and customers providing aggregated financial and operational insights in real-time. The solution leverages the Honeywell Forge autonomous buildings solution and the SAP Cloud for Real Estate solution, enabling facility managers and building owners to reposition their real estate portfolios through parameters such as cost savings and energy efficiency and help improve the tenant experience.
As organisations struggle to maintain operations during the ongoing crisis, there has been an exponential increase in employees working from home and relying on the Future of Work technologies. Ecosystm principal Advisor, Audrey William says, “During the COVID-19 pandemic, people have become reliant on voice, video and collaboration tools and even when things go back to normal in the coming months, the blended way of work will be the norm. There has been a surge of video and collaboration technologies. The need to have good communication and collaboration tools whether at home or in the office has become a basic expectation especially when working from home. It has become non-negotiable.”
AWS and Slack announced a multi-year partnership to collaborate on solutions to enable the Workplace of the Future. This will give Slack users the ability to manage their AWS resources within Slack, as well as replace Slack’s voice and video call features with AWS’s Amazon Chime. And AWS will be using Slack for their internal communication and collaboration.
Delivering excellent customer experience in the midst of the crisis has proved to be difficult for organisations. Customer care centres have been especially impacted by high volumes of customer interactions – through voice and non-voice channels. This will see a major rise in adoption of cloud contact centre solutions. Contact centre providers are ramping up their capabilities in anticipation. Genesys selected AWS as their preferred cloud partner to deliver new features to customers and build a global and secure infrastructure.
The industry can expect more news from Cloud providers in the next few months as they ramp up their capabilities and channel their go-to-market messaging.
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AWS has been gearing up for the launch in ASEAN over the last 6 months. The region is very competitive with some long-standing contact centre players having a large share and installed base in the large and medium enterprise accounts. The launch indicates how serious they are about growing their contact centre business in the region. There has been good progress so far in Singapore and the Philippines. Amazon Connect will look to grow its presence in Indonesia, Malaysia, Thailand, and Vietnam in the months to come. The market dynamics in each Asian country is unique and AWS will work with partners such as Accenture, Deloitte, DXC, ECS, NTT and VoiceFoundry to grow their presence in the region. Some of the more traditional partners will need education and upskilling to understand the Amazon Connect value proposition
Click below to access insights from the Ecosystm Contact Centre Study on visibility into organisations’ priorities when running a Contact Centre (both in-house and outsourced models) and the technologies implemented and being evaluated
In all honesty, anyone who has watched Salesforce closely should neither be surprised or concerned by this acquisition. Salesforce is not merely your cloud CRM provider anymore. It has not been for years, but for some outdated perception is the reality.
Salesforce is an increasingly broad and complex enterprise software behemoth. It’s recently reported numbers highlight this. It is on track for US$20B in revenue by 2022, with year to year growth in the most recent quarterly reported numbers just shy of 25%. Sales and Service Cloud represent 60% of quarterly revenues, but the fastest growth is in the platform and increasingly new investment areas. What Salesforce does so well is to identify adjacencies to an evolving core product. The acquisition of Mulesoft in 2018 set the path to solving integration problems that challenged Salesforce deployment for customers. The purchase of Map Anything in April 2019, highlighted this adjacency approach as well as the ability of Salesforce’s ecosystem to develop partners through the AppExchange then acquire into Salesforce.
So how does Tableau fit into Salesforce?
For nearly US$16B, it had better be a precise fit. Tableau is the leader in data visualisation. It is not an analytics platform as such; one does not go to Tableau for deep statistical insight; instead, it uses it to communicate data to as broad an audience as possible. Salesforce has analytics capability as a core pillar, but this has been one of the more disappointing offerings from Salesforce and has far from reached the potential required. Salesforce will only benefit from a functionality and capability perspective with Tableau inside rather than as a partner or third-party application.
Quite simply across the product suite, and as a standalone offering, Tableau will significantly increase the visualisation, both automated and user-led capabilities of Salesforce. In terms of what it means for both companies, of course, there is good and bad. There is a very significant overlap in the customer bases of both products. It is not 100%, but there will be a balance of customer familiarity and the opportunity to cross-sell for Salesforce, and the extensive partner network that it oversees. There will be some cultural challenges, no doubt in the integration. Salesforce talks about Tableau as an independent organisation within Salesforce, and that will work until Mark Benioff believes it doesn’t. The internal but separate approach rarely works, and the Tableau logo will disappear at a point in time as a consequence.
There are a few differences between the integration of Tableau and the most comparable business Mulesoft. Mulesoft was literally up the street from Salesforce in San Francisco and culturally was based on many of the premises of Salesforce. For Seattle based Tableau, there will be a few differences culturally, although nothing that cannot be overcome with communication, honesty and much hard work on the cultural integration.
The on-premise and cloud capability of Tableau may disappear quicker than the road map that Tableau had, again, Salesforce places great import on the SaaS, no Software approach. Advanced analytics and AI capabilities of Tableau are not its fundamental value proposition so that Einstein will remain the lead there, with some added capability. The non-customer centric user of Tableau provides new client opportunities for Salesforce.
The final point of the acquisition is that it proves in 2019 and the future, you cannot be a one trick software firm. To remain relevant, you need multiple capabilities. Tableau struggled with this, VMware famously struggled until the “invention” of hybrid cloud to be more than virtualisation, and SAS Institute and ESRI remain the poster firms for relying on one old product suite.
Salesforce paid a premium for Tableau, even in a capital-rich 2019. In the world of Salesforce, that is rarely the point. One of the challenging aspects in the Salesforce 360 portfolio is fundamentally sharpened; it gains new users, new capabilities and opportunities for the core product to expand. As with all acquisition, the trick will be the integration, cultural alignment, and keeping developers and partners on board.
Today, many businesses use Tableau (over 86,000), including a lot of Salesforce customers. They have chosen Tableau because it is easy to deploy and use, and like Salesforce own applications, it targets the ultimate decision maker – the business user – and sometimes even the consumer. Recent research into the BI systems integrators in Asia Pacific shows that Tableau is one of the leading analytics platforms for the partner community in the region – the big SIs have many people focused on Tableau. But that dominance is being challenged by a re-energised Microsoft, whose Power BI is also witnessing strong growth – and who is typically the price leader in the market.
For Salesforce customers, there is some overlap between products – their own Einstein Analytics tools do much of what Tableau can do – although Tableau helps customers see insights from data stored both on the cloud and inside their own data centres. It also moves Salesforce closer to the Customer 360 vision – the ability to get a view of customers across the Commerce, Marketing and Service Clouds. Salesforce customers not using Tableau today will get a better user experience by using Tableau as the visualisation platform.
History has shown that it is hard to make such acquisitions successful. Tableau was a huge success because it was independent. The same was for Business Objects and Cognos before their acquisitions. History has shown that when the large BI and analytics vendors are acquired, others move into that space. While Salesforce has announced they will run Tableau as a separate business, it will no longer be independent. Partners will need to be maintained and provided a growth path – and partners are the cornerstone of Tableau’s success. Some of these partners might have strong ties to other software or cloud platforms too such as SAP, Oracle, AWS or Google. Customers of Tableau might feel sales pressure to move to a Salesforce environment – and will likely see Salesforce integration happen at a deeper level than on other platforms.
Tableau’s independence will disappear. However keeping Tableau as a separate business may not be the long term goal for Salesforce – it might be to offer the best application and analytics solution in the market – to make the entire suite more attractive to more potential buyers and users. It may be to take Salesforce beyond the current users in their customers to many other users who may not need the full application but need the analytics and visualisations that the data can provide. If this is the case, then the company is onto a winner with the Tableau acquisition.
The long term goal is not analytics reports delivered to employees. It is not visualisation. It is automation. It is applications doing smart, AI-driven analysis, and deciding for employees. It is about taking the human out of the process. In a factory you don’t need a report to tell you a machine is down – you need to book a repair person automatically – or a service technician to visit before the machine has even broken down. And you don’t need a visualised report to show that a machine is beyond its life expectancy. You need the machine replaced before it fails catastrophically.
Too often, we are putting humans in processes where they are not required. We are making visualisations more attractive and easier to consume when, in reality, we just needed the task automated. While we employ humans, there will be a need to make decisions more effectively, and we will still require tools like Tableau. But don’t let the pretty pictures distract you from the main prize – intelligentautomation.
If you would like to speak to Tim Sheedy or another analyst at Ecosystm about what the acquisition Tableau by Salesforce might mean to your business or industry, please feel free to schedule an inquiry call on the profile page.