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Wednesday, August 06, 2025Beyond Adoption: Why GenAI in the Enterprise Needs Strategy, Not Just SoftwareWhen we talk about GenAI today, the conversation often revolves around features and capabilities. But as Aparna astutely noted in a recent LinkedIn post, transformation isn’t just about what the technology can do—it’s about what the organization is willing to believe, adopt, and scale. And that’s a much more human, messy, and strategic terrain. Two recent essays helped crystallize something I’ve been observing across boardrooms and transformation programs. The first is the classic Innovator’s Dilemma—revisited for the GenAI era. As explained in a sharp Substack post, it’s not that enterprises lack ambition. It’s that they optimize around their current customer and revenue models. Disruption doesn’t come from lack of awareness. It comes from being too good at what you already do. So when GenAI presents itself—not as a 10% enhancement, but a 10x rethink—legacy mental models start to panic. The second is more subtle—and in some ways, more dangerous. The George Costanza Effect: the idea that software in enterprise settings is trapped by its historical perception. A CRM is a tool to record interactions, not to initiate them. An HR system manages benefits—it doesn’t coach your people. So when GenAI features try to elevate software into new roles, users freeze. Not because it doesn’t work—but because it feels “wrong.” Like Costanza in Seinfeld—when someone behaves differently from how we expect, our minds reject it, no matter how effective it might be. Now combine these two forces: on one side, an organization held hostage by its own strengths. On the other, users conditioned by a decade of muscle memory about what enterprise software “should” be. This is why GenAI isn’t just a product challenge. It’s a strategic choreography challenge. And that’s where consulting firms—particularly those embedded deeply inside enterprise operating models—can play an outsized role. So what’s the playbook?1. Anticipate the Dilemma, Don’t Wait for ItMost large organizations launch GenAI pilots with cautious optimism. But often, those pilots are constrained by the same legacy thinking they hope to overcome. The key is to separate exploration from exploitation. That means creating GenAI tiger teams that don’t report into the same KPIs and customer feedback loops as the core business. These teams need the freedom to imagine adjacent use cases—ones that feel small today, but could become tomorrow’s core. 2. Mind the Identity TrapIf you’re going to launch a GenAI assistant inside a CRM, you’re not just launching a feature. You’re asking users to see the software differently. That’s a branding challenge as much as a technical one. Introduce it as a new role. Give it a name. Build narrative scaffolding around it. Help users rewire what this tool is for. Without this step, you risk rejection not on merit—but on memory. 3. Fuse Strategy with Behavior DesignThis is where Aparna’s insight really matters. The success of GenAI adoption isn’t in the codebase—it’s in the change narrative. Consultants must co-create with business teams. Use pre-mortem sessions to surface fears before rollout. Build success frameworks that measure time saved, new insight surfaced, or the emotional shift in how teams perceive their tools. These are soft metrics—but they often precede the hard ones. 4. Redefine What 'Adoption' MeansWe’re used to measuring rollouts by the number of users onboarded, or workflows integrated. But GenAI tools are not infrastructure—they’re collaborators. True adoption means people trust the system. They’re delegating thinking, not just tasks. That trust must be earned and carefully nudged. Otherwise, you’ll get surface-level engagement and deep-level skepticism. When you combine the Innovator’s Dilemma with the Costanza Effect, you begin to understand the real barrier to GenAI in the enterprise: not feasibility, but believability. So here’s my proposition to enterprise leaders, CIOs, and transformation advisors: - Don’t just build GenAI features. Redesign the roles your software plays. - Don’t just chase productivity metrics. Track the story your teams are telling themselves about the tools they use. - And don’t assume resistance means failure. Sometimes, it means you’re finally changing the script. We’re not just at the edge of a technology shift. We’re at the edge of an identity shift—for systems, for teams, and for what “work” even means. Curious how your platform might be stuck in a Costanza loop? Or how to pilot a GenAI solution that doesn’t get rejected by legacy perception? Let’s open that conversation. Labels: Enterprise Software, GenAI |Saturday, May 31, 2025Die Zukunft des SaaS: How Enterprise Giants Defy the Stack Fallacy in the GenAI Era (Part II)In Part 1 of Die Zukunft des SaaS: How the Stack Fallacy Sabotages GenAI Ambitions, we explored the Stack Fallacy, which explains why companies at lower stack layers—like cloud infrastructure or foundational AI models—often fail to succeed in customer-facing SaaS markets due to insufficient customer empathy. We also examined how Generative AI (GenAI) threatens to disrupt the Software-as-a-Service (SaaS) industry by enabling new entrants, commoditizing features, and raising customer expectations. In this second part, we analyze how enterprise giants—Salesforce, ServiceNow, SAP, Microsoft, Oracle, Workday, Pega, Adobe, and Blue Yonder—navigate these challenges to lead in the GenAI era. By leveraging their higher-layer expertise, strategic partnerships, and customer-centric innovation, these companies sidestep the Stack Fallacy to maintain dominance. We’ll also delve into the broader implications for the SaaS industry and what lies ahead in this AI-driven landscape. Defying the Stack Fallacy: Strategies of SaaS Giants As outlined in Part 1, the Stack Fallacy highlights the peril of moving up the stack without deep customer understanding. Major SaaS providers, operating at the application layer, hold a natural advantage: they already know their customers’ needs. Below, we explore how these companies integrate GenAI to stay ahead, weaving in insights from industry reports and company strategies. Deep Customer Empathy at the Higher Stack Layer These companies serve specific business domains—CRM (Salesforce, Microsoft Dynamics), IT service management (ServiceNow), ERP (SAP, Oracle, Workday), process automation (Pega), marketing and creative tools (Adobe), and supply chain management (Blue Yonder). Their decades of experience provide direct insight into customer pain points, such as streamlining sales pipelines, automating IT workflows, or optimizing logistics. IDC’s 2024 SaaS Market Trends report notes that 65% of enterprise SaaS success hinges on domain-specific expertise, which these players possess in abundance. Unlike lower-layer providers, these companies don’t need to infer user needs—they have direct feedback from millions of customers. For example, Workday’s HR platform uses customer input to tailor GenAI features like talent insights, ensuring relevance to HR professionals, unlike generic AI tools from infrastructure providers. Strategic Integration of GenAI Rather than building foundational models—a lower-layer task prone to the Stack Fallacy—these companies integrate GenAI through partnerships or existing AI frameworks, focusing on domain-specific applications.Salesforce embeds GenAI via its Einstein platform, offering predictive lead scoring and conversational assistants for CRM workflows, as detailed in its 2025 Einstein AI Roadmap. ServiceNow uses Now Assist to integrate GenAI into IT service management, automating ticket resolution and virtual agents, per its 2024 Now Platform Updates. SAP leverages its Joule AI assistant to automate ERP tasks like procurement and supply chain planning, ensuring compliance with industry regulations (SAP, 2025, Joule AI Overview). Microsoft incorporates GenAI through Copilot across Dynamics 365, Power Platform, and Azure AI, enabling natural language data analysis and automation (Microsoft, 2025, Azure AI Innovations). Oracle uses OCI AI services to embed GenAI in ERP, HCM, and supply chain applications, focusing on verticals like healthcare (Oracle, 2024, OCI AI Strategy). Workday powers HR and financial platforms with GenAI features like automated payroll insights, as outlined in its 2025 AI in HCM Report. Pega enhances process automation with GenAI-driven decisioning for complex workflows (Pega, 2024, Pega Infinity Updates). Adobe integrates GenAI via Adobe Firefly and Experience Cloud for content creation and personalized marketing (Adobe, 2025, Experience Cloud AI Roadmap). Blue Yonder uses GenAI to optimize supply chain tasks like demand forecasting (Blue Yonder, 2024, Luminate Platform Enhancements). Gartner’s 2024 AI Adoption Trends report highlights that 75% of successful enterprise AI deployments rely on partnerships rather than in-house model development, explaining why these companies partner with providers like XAI to avoid lower-layer traps. Platform Approach and Ecosystem These companies leverage platforms and ecosystems to amplify GenAI adoption without overextending into lower layers. Salesforce’s AppExchange, ServiceNow’s Now Platform, Microsoft’s Power Platform, SAP’s Business Technology Platform, Oracle’s Fusion Cloud, Workday’s Extend, Pega’s low-code platform, Adobe’s Experience Platform, and Blue Yonder’s Luminate Platform enable customers and developers to build GenAI-powered applications. For instance, Microsoft’s Power Platform allows businesses to create custom GenAI apps for retail analytics, reducing Microsoft’s need to build every solution itself (Microsoft, 2025, Power Platform Case Studies). McKinsey’s 2023 study on platform-based SaaS models found that such approaches boost adoption rates by 40%, showcasing their effectiveness. By empowering ecosystems, these companies sidestep the Stack Fallacy, avoiding the need to solve every customer problem directly while enabling innovation at the application layer. Data Advantage and Trust Vast enterprise data repositories—customer interactions for Salesforce, financial records for SAP, supply chain metrics for Blue Yonder, HR data for Workday—enable these companies to fine-tune GenAI models for specific contexts. They also prioritize trust and compliance, addressing enterprise concerns about data privacy and regulations. Salesforce’s Einstein Trust Layer, SAP’s GDPR-compliant Joule, and Microsoft’s Azure AI security features ensure safe AI adoption, as noted in Forrester’s 2024 The Future of SaaS in the AI Era report. Lower-layer providers, with tools like AWS’s SageMaker, lack these domain-specific data and trust frameworks, limiting their SaaS competitiveness.Superior Product Disruption Christensen’s disruption model emphasizes “inferior” products that improve over time, but some disruptions come from premium offerings. These companies’ GenAI tools—SAP’s Joule, Adobe’s Firefly, ServiceNow’s Now Assist—deliver high-value, enterprise-grade features that reinforce their premium positioning. For example, ServiceNow’s predictive analytics for IT workflows outpaces low-cost competitors by offering superior value.Broader Implications for the SaaS Industry Building on Part 1, the Stack Fallacy and GenAI have profound implications for SaaS: Disruption Risks for Incumbents SaaS providers that fail to integrate GenAI risk disruption by startups leveraging lower-layer AI for niche solutions. A GenAI-powered HR tool could challenge Workday with cheaper onboarding automation, as Deloitte’s 2025 AI in Enterprise Software Trends predicts.Opportunities for Leaders Big Players like Salesforce, ServiceNow, SAP, Microsoft, Oracle, Workday, Pega, Adobe, and Blue Yonder thrive by focusing on domain-specific GenAI applications and partnering with lower-layer providers and complying with agent standards like MCP, A2A etc. Their ecosystems and trust frameworks give them an edge, per market trends. New Entrants and Niche Markets GenAI enables startups to target niche markets, but they must avoid the Stack Fallacy by ensuring customer empathy. The Stack Fallacy emphasizes customer empathy. SaaS leaders succeed by solving real pain points, like Microsoft’s Copilot for sales forecasting or Blue Yonder’s GenAI for supply chain optimization The Future of SaaS : As the SaaS market grows, GenAI’s transformative power will intensify competition. Leaders who balance customer empathy with strategic GenAI integration will shape Die Zukunft des SaaS, while those ignoring the Stack Fallacy risk obsolescence. These companies demonstrate that success lies in understanding customers, not just mastering technology. Labels: Agentic AI, Enterprise Software, Gen AI, SaaS |Die Zukunft des SaaS: How the Stack Fallacy Influences GenAI Ambitions – The Disruption Dilemma (Part 1)The Stack Fallacy, originally popularized by my friend Anshu Sharma, reveals a critical flaw in business strategy: companies often overestimate their ability to climb “up” the technology or business stack to create successful products at higher layers, hindered by a lack of deep customer empathy. As Generative AI (GenAI) transforms the Software-as-a-Service (SaaS) landscape, this fallacy provides a powerful lens to understand why some firms—particularly those rooted in lower stack layers like cloud infrastructure or foundational AI models—struggle to compete in customer-facing SaaS markets, while others thrive by mastering domain-specific needs. In this first of a two-part series, we dissect the mechanics of the Stack Fallacy, explore how GenAI threatens to disrupt the SaaS industry, and highlight the risks it poses to incumbents. Stay tuned for Part 2, where we’ll uncover how enterprise giants like Salesforce, ServiceNow, SAP, Microsoft, Oracle, Workday, Pega, Adobe, and Blue Yonder navigate these challenges to lead in the GenAI era. The Stack Fallacy: A Strategic Pitfall The Stack Fallacy describes the mistaken belief that expertise in one layer of the technology or business stack—like infrastructure or databases—translates seamlessly to success in higher layers, such as customer-facing applications. The “stack” is a hierarchy of components, from raw infrastructure (e.g., cloud computing) to platforms (e.g., APIs) to applications (e.g., CRM or ERP software). For example, a database company may excel in managing data storage but struggle to build enterprise applications like CRM because its engineers lack direct insight into the workflows of sales teams or supply chain managers. Conversely, moving “down” the stack—say, a software company building its own servers to support its platform—is often easier since firms understand their own lower-layer needs. This concept aligns with Clayton Christensen’s The Innovator’s Dilemma (1997), which argues that incumbents miss disruptive innovations by focusing on existing customers and high-margin products. The Stack Fallacy adds a structural dimension: success at one stack layer doesn’t guarantee success at another, especially without deep customer understanding. A 2023 McKinsey study on digital transformation found that 70% of failures stem from misaligned customer understanding, underscoring the Stack Fallacy’s relevance in today’s tech landscape. In the GenAI era, the Stack Fallacy is more critical than ever. Companies at lower layers, like cloud providers or AI model developers, may assume their technical expertise equips them to conquer SaaS markets. As we’ll explore, this assumption often leads to strategic missteps. The GenAI Stack: A New Competitive Landscape The GenAI era redefines the technology stack, creating distinct layers that amplify the Stack Fallacy’s risks: Lower Layers: Cloud infrastructure (e.g., AWS, Azure, Google Cloud), foundational AI models (e.g., GPT-4, Llama), and data platforms provide the raw computing power and AI capabilities for GenAI applications. Middle Layers: AI platforms and APIs, such as xAI’s API or Hugging Face, enable developers to integrate GenAI into applicatio> Higher Layers: Customer-facing SaaS applications—think CRM, IT service management, ERP, HR, marketing, or supply chain tools—deliver specific business value by embedding GenAI. The Stack Fallacy suggests that lower-layer players, like those developing foundational AI models, may struggle to build SaaS applications that resonate with enterprise users. For instance, a general-purpose conversational AI model excels in broad tasks but lacks the tailored workflows needed for HR analytics or supply chain optimization without significant customization. This gap in customer empathy at higher layers is where the Stack Fallacy creates vulnerabilities.
GenAI’s Disruptive Threat to SaaS GenAI is set to revolutionize the SaaS industry, valued at $232 billion in 2024 and projected to reach $315 billion by 2028 (Statista, 2024), by enabling new business models, lowering entry barriers, and reshaping customer expectations. Here’s how it threatens incumbents, with the Stack Fallacy as a guiding framework:Disruption from Below the Stack GenAI empowers startups to challenge established SaaS players by leveraging foundational models to create niche applications. This mirrors Christensen’s disruptive innovation model, where new entrants target underserved markets with simpler, cheaper solutions that improve over time (The Innovator’s Dilemma, 1997). For example, a startup using xAI’s API (https://x.ai/api) could build a low-cost, GenAI-powered customer support tool to rival ServiceNow, targeting small businesses or “non-consumers” priced out of traditional SaaS. Gartner’s 2024 Critical Capabilities for IT Service Management Tools highlights that such tools are gaining traction by offering streamlined, AI-driven alternatives. However, lower-layer players like those providing foundational models or cloud platforms face Stack Fallacy risks. A cloud provider’s AI platform may offer powerful models but struggle to deliver the industry-specific workflows that ServiceNow’s IT service management tools provide, as it lacks direct customer insight at the application layer. Commoditization of SaaS Features GenAI can replicate features that once differentiated SaaS platforms, such as predictive analytics, content generation, or data visualization. A marketing SaaS platform’s unique analytics dashboard, for instance, could be mimicked by a GenAI model generating real-time insights from raw data, eroding its competitive edge.The Stack Fallacy exacerbates this threat. SaaS incumbents relying on proprietary algorithms risk disruption if they don’t integrate GenAI to maintain differentiation. Meanwhile, lower-layer providers attempting to move up the stack may offer generic AI features that fail to address specific needs, such as compliance in healthcare or logistics in supply chain management. Shifting Customer Expectations GenAI’s ability to deliver hyper-personalized, conversational, and automated experiences is raising the bar for SaaS providers. Users now expect natural language interfaces, real-time insights, and seamless automation. Deloitte’s 2025 AI in Enterprise Software Trends study found that 80% of enterprise buyers prioritize AI-driven personalization in SaaS solutions. A CRM platform without a GenAI-powered chatbot, for example, may lose customers to a startup offering conversational sales assistants.The Stack Fallacy trips up lower-layer players here. A cloud provider’s AI platform may offer robust GenAI capabilities but struggle to create SaaS applications that meet industry-specific needs, such as GDPR compliance for European ERP users, due to limited customer empathy at the application layer. The High Stakes of GenAI and the Stack Fallacy The Stack Fallacy’s relevance in the GenAI era stems from the technology’s transformative potential. Lower-layer providers, armed with powerful AI models and cloud infrastructure, may be tempted to enter SaaS markets, assuming technical expertise is enough. Yet, success at higher layers requires deep customer understanding, not just technical prowess, as Christensen’s work suggests. The SaaS industry’s massive growth potential makes it a prime target for GenAI-driven disruption. Startups can rapidly prototype solutions, while customers demand AI-enhanced experiences, creating a perfect storm for incumbents who fail to adapt. But as we’ll explore in Part 2, enterprise giants are not standing still. Companies like Salesforce, ServiceNow, SAP, Microsoft, Oracle, Workday, Pega, Adobe, and Blue Yonder are leveraging their customer-centric strengths to integrate GenAI and maintain dominance. Part 2 will reveal how these titans avoid the Stack Fallacy, balancing customer empathy with technological innovation to shape the future of SaaS.The Stack Fallacy exposes why lower-layer players struggle to conquer SaaS markets, but how do industry leaders like Salesforce, Microsoft, and SAP sidestep this trap to thrive in the GenAI age? In Part 2, we’ll dive into their strategies—from AI-powered platforms to ecosystem-driven innovation—and explore how they shape Die Zukunft des SaaS. Join us to uncover the art of surviving and thriving in a GenAI-driven world. Labels: Enterprise Software, GenAI, SaaS, Stack Fallacy |Saturday, September 20, 2014SAP Buys Concur - Interesting Mix!I have used Concur system for several years and had seen it evolve over time. Earlier this quarter, when I saw this announcement about Concur, Uber and AirBnb coming together, I knew that they are aiming big, given Concur’s active partnership with the likes of United, Marriott, IHG and Avis. There is definite meat behind the claim that “Concur has developed an open platform to connect the corporate travel ecosystem, such as airlines, hotels and car rental companies in new and innovative ways”. After all big things like industry disruption happens through convergence of forces and in the software and services industry could mean that either a platform or ecosystem interplay bringing in differentiated experience or results. And that Concur was looking for a buyer was there in the air for a while. SAP buying Concur is a decent positive decision in my opinion. As someone who travels a lot on business, I can tell you nothing endears this class of users than an enterprise class application working with the smooth and suave ways of working with consumer applications. The number of people waiting for such application could run into huge numbers. The scope and reach of this application does not stop with the current outline that we see but can expand horizontally to cover many more things, with substantial scope for innovation and the ecosystem expansion. The target industry is seeing growth in multiple dimensions - players like Uber expanding internationally and the likes of airbnb seeing manifold increase in transactions routed through Concur,indicates which direction things can move -only up. Look at the SAP enterprise cloud footprint- Success factors from HR angle, and along with Ariba on the supply side and their huge user base leveraging core budgeting and finance apps- SAP is building a rich portfolio. Plus, there’s a HANA angle to this.
- I think HANA powers the analytics for Concur, or else this can happen soon. - The HANA approach that’s already pushed heavily with SuccessFactors and Ariba will add the non transactional part of Concur - its safe to expect that ConcurInsights will be an early target to move to HANA completely. - Concur messaging embracing HANA would be an interesting possibility as well. - At present, Concur has integration interfaces with various platforms -Netsuite, Salesforce, etc including SAP systems.It can be expected that Concur connectors for HANA Cloud Integration , a predictable path simialr to the standardized connectors for SuccessFactors, already in place, gets repeated. - Concur has some wannabe solutions that could be replaced by larger Ariba network solution in the spend management space and together could become part of the business network solution for enterprises. -The Concur App Store is impressive and has an impressive array of partner applications. That early vision of building such a tight ecosystem with big and small payers, am sure got Concur’s founders rich returns today, Its not easy as a small niche player to go and sell to large enterprise and consumer players to be part of an ecosystem driven by them. - With millions of users, now leveraging Concur’s platform , their data analysis on travel and entertainment provides unique insights - such as ancillary expenses are more than main expenses. The range and depth of insights could be a powerful data set that could become a service and a reference benchmark as well. - The combined power of 50 million cloud users coupled with API strategies that they can be exploited would mean that the platform can substantially expand and begin to create a new robust ecosystem of its own - much more powerful at one level than the traditional SAP core app user base. While it’s clear that buying Concur may not add to SAP profits immediately while pushing its topline by 700 million USD ,they key to note is that this is cloud stream based revenue and typically would grow substantially faster and is more sticky and predictable. The range of services that can be extended to make user experience more rich, relevant and engaging is enhanced substantially helping launch and release of new features and functions more effective, helping in the process to earn more returns from the customers. This also expands on the impact of SAP Ariba acquisition as the value of the transaction handles increases to 600 billion annually, a very high number by any standard. This is a major fillip for SAP’s foray into digital business, an agenda being pursued for last several years, starting with Ariba. Let’s look at this form another lens - the enterprise software industry is undergoing such a massive change - the speed of the change and the range of the change in the business models are truly mind boggling. The tech ecosystem is itself changing fast. The rapid convergence of forces make it more potent and the traditional boundaries and model of operation - centralized system to a more open and partnership based ecosystem makes building digital business systems more attractive commercially and more scalable in its reach. While the traditional challenges of integrating Concur teams and solutions will definitely exist, SAP is now wiser having digested the likes of Ariba in the past. 8+ billion dollars for acquiring a company at 10x projected sales is not small money, by any standards. Concur is also the owner of TripIt, a travel management tool that has widespread use. TripIt has been independently run post the acquisition by Concur, and is said to have grown rapidly ever since. The current SAP users or Concur users may not see any immediate benefit of this acquisition, given the evolved services that Concur and SAP have. SAP has made some bold moves to become a player in the cloud space. The greater opportunity for SAP lay in reimagining the complete ecosystem that it has built over the last 15 + years to help in redefining their positioning as the leading enterprise cloud player. Indeed, this is an interesting journey ahead. Labels: Business Model, Cloud, Digital Enterprise, Enterprise Software, SAP |Wednesday, September 19, 2012Salesforce.com: Onto Becoming The Enterprise Nerve CenterI attended Dreamforce 2012, Salesforce.com’s 10th annual user conference, in San Francisco, and came away feeling very positive about the company, product and the possible solutions that can get conceptualized. With ~90,000 registered attendees, 350+ partner companies and ~750 sessions, Dreamforce 2012 could very well be the largest user conference by any IT company ever on earth. From a day filled with so many sessions, conversations and demos, the key takeaways: 1) New product Community, based on Chatter technology, will become the bedrock of external facing customer and partner on-line communities. This will not only have the effect of replacing old portal products, but also make external facing CRM functions to be more social, and for business create avenues for generating new revenue streams. 2) Work.com, a major area of investment for Salesforce.com, aims to transform how work is organized and managed by present day businesses. A tight integration between Work.com with CRM applications could increase the productivity and effectiveness of sales/marketing/service operations. 3) Radian6’s, which SFDC acquired last year and is gaining lot more teeth with more integration with other SFDC assets -in the process the Marketing Cloud story gets more powerful, potentially tapping the multi-billion business potential therein. Through Buddy Media, Radian6, and CRM platform integration, Salesforce.com offers a product differentiated through its breadth of features. 4) The Service Cloud is getting more and more powerful with lot more focus on making it broad based and feature rich.It’s now clear that Service Cloud’s social and mobile focus will certainly position it to capitalize on a large market opportunity and develop into a $B business. 5) Salesforce Touch, and Data.com, Social Key: Salesforce Touch, powered by HTML5, expands on salesforce.com‘s native mobile strategy and will bring Salesforce to any mobile device—this is regardless of platform—and empower sales to collaborate on deals anytime, anywhere. And Salesforce Data.com Social Key will unite the best context from social networks with traditional company data, enabling enterprises to build stronger relationships with customers and close more deals, faster. 6) Salesforce Chatterbox: Salesforce Chatterbox will deliver simple and secure file sharing across any device with the proven trust of Salesforce. With Salesforce Chatterbox, people will be able to manage and share files in the context of their business. Chatter based Communities for customers and partners It may be noted that Chatter( aimed at facilitating internal employee collaboration) has achieved significant adoption since launch two years ago with a little less than 200K company networks till date. It appears that SFDC s leveraging Chatter technology to enable more of customer and partner facing functionalities. Along came the announcement that a new product called community will be launched in summer of 2013 that will power various online communities for enterprise critical functions such as customer service, channel partner collaboration, marketing engagements and enterprise sales execution. Chatter is now broadbasing its role by essentially becoming the platform technology that infuses various external facing CRM business processes covering different stakeholders of the enterprise. The roadmap descripton shows that this new Community product will entirely replace the old customer portal or partner portal products - a big shift appears to be in the offing here. Although so far Chatter has primarily been used as a tool to increase the customer engagement with CRM apps, with this annoucement of Community, it’s also clear that Salesforce.com will take the next big step of directly monetizing the Chatter technology with separate licensing. Chatter is indeed making the entire CRM function to become more social and collaborative for all participants- covering all the stakeholders -customers, partners and employees. Work.com is focused on transforming how work is organized in modern companies Rypple is now rebranded to Work.com to reflect the broader mission of re-inventing how work will be organized and managed in companies in the future. Instead of hierarchical org chart with command and control style management, as seen in tradiitonal entperise software implementations, Work.com professes a different approach that is based on organizing people in flexible workgroups and networks that are more conducive in accomplishing goals and tasks. Today, Salesforce.com claims that it has already adopted Work.com among its multi-thousand employees to enable a more network based organization with better goal setting and collaboration, continuous feedback and performance recognition, and claims to have reaped positive returns in the form of increased sales productivity.The close integration between Work.com with CRM applications could also increase the productivity and effectiveness of sales/marketing/service operations. Work.com is one of the big annoucements in Dreamforce this year, and all signs indicate that Salesforce.com can build out the service to be yet another significant business segment over time.The Big One: Marketing Cloud As per data shared by SFDC, currently 65% of marketers feel pressure to improve social media effectiveness, and 48% feel pressure to report quantified outcomes of social media marketing. SFDC has sensed correctly so that this will be a big area of focus for enterprises to invest and reap returns. Marketing Cloud is well positioned to address these top concerns by marketers. Marketing Cloud ties together some existing Salesforce products and delivers the key outcome that businesses need in the social age – the ability to initiate actions, measure, and react to external social influences. The story here is that when marketing cloud is enabled along with the monitoring aspects of social and when tied to actual workflow and automation, Salesforce provides a end-to-end solution that will lower the barriers to entry into the social realm for its enterprise customers. Through the Buddy Media and Radian6 integrations, the Marketing Cloud offers a more comprehensive product - enabling both creating marketing content and mining marketing intelligence data, all integrated with the core CRM platform. This is a powerful combination when it works effectively for enterprises. Radian6 enables enterprises to keep an active pulse on customer sentiment and use data to drive launch and content strategy. With Radian6 enterprises can generate reports including volume, geographic location, age/gender demographics, word cloud charting, and volume of positive and negative social comments. The integrated functionality can help enterprises respond to social media mentions across a variety of channels from a single operating platform . If cases get raised through the CRM, they can be automatically routed to relevant departments such as sales or customer service depending on key words/tags/attributes in the social post. This integration is a key differentiator for the Marketing Cloud, creating synergies across CRM’s product portfolio and broadening the product footprint. Service Cloud adoption on the rise Service Cloud is well positioned to become another mega business over the next several years. The product itself is getting better with time and with a number of success stories around the world, this is only gaining huge momentum. One of the most notable feature is the 3rd party application integration, as it allows a company to incorporate in-house or industry specific applications in the Service Cloud interface, dramtically expanding the reach of the application. The more powerful part of Service Cloud : Integration across multiple channels (web chat, email,phone, video) permitting cases to be managed across various channels from an an integrated mannner. The social dimension kicks in here with the launch of features like live news feed - these can push urgent notifications from multiple sources directly to the agent, empowering the agent much more in the process. Integration with Radian6 also allows rapid response to social media posts on Facebook, Twitter, and other social media channels. Like in every other part of SFDC product spectrum,the emphasis on mobile and tablets were clearly seen as coming - and SFDC higlights that the interface experience through tablets would be identical to the desktop experience - an important one as mutiple tablets are enabled within the larger SFDC platform. Salesforce Touch Experience Salesforce touch delivers on Salesforce’s long opined perspective that the future will be delivered over multiple devices and in multiple contexts. They were arguably the first company to really recognize the enterprise value of the tablet, and touch will enable their customers to deliver highly contextualized applications to their staff and stakeholders. Similarly with Chatter Communities we see Salesforce spread a fabric of social engagement outside of the organization itself and create continuity across the spectrum of customer to vendor touchpoints. And Data.com Social Key simply allows the organization to move away from the current paradigm where enterprise contact data is seen as distinct from external contact data – rather the two things will be merged into one global contact – the way most of us work in our day to day lives. Other significant announcements • ChatterBox enables content to be deeply embedded within an enterprise application and ChatterBox does this. As it can be seen, content is an integral part of core workflows and processes and not something in and of itself. Well evolved deep integrations of third party applications can be a very compelling model for content management, but a native product brings with it huge advantages. • The new Salesforce Identity will deliver “Facebook-like identity for the enterprise,” a single, social, trusted identity service to access and centrally manage every cloud app. With nine major enterprise cloud platform services, companies can now accelerate innovation and deliver next generation social and mobile apps with unparalleled levels of speed, mobile and trust on the Salesforce Platform. • Heroku integration with the Salesforce assets will now be enabled through the newly developed identity that works across all Salesforce assets as well as integrate across clouds – in a manner similar to Active Directories within the enterprise but the scale here can be really much large. Summary : • Shift from transaction to engagement. CRM traditionally focused mostly on the customer management, and later evolved to cover functions like relationship, service etc. Shift forward to engagement strategies point to a move towards bi-directional conversations, unstructured information, and models of influence. • The distinction between consumer and enterprise is slowly melting away – In other words the consumerization of the enterprise is becoming more and more real. • The emergence of customer experiences. CRM/Front office system’s typically covers SFA, marketing, service, eBusiness. Integrated customer experience is a reflection of aligning the front office and back office functions to provide an unbeatable customer experience. Salesforce.com is attempting to address all the components here that make up the fabric here. Seen from that perspective .With so may well thought out improvements and enhancements, Salesforce now has all the ingredients to become the enterprise nerve center – after all, enterprises want to make all part of the organization to be ready and work in tandem to respond to business needs and here SFDC provides a wide coverage and should therefore become more and more critical to the business teams.Labels: Cloud Computing, Dreamforce, Enterprise Software |Saturday, July 31, 2010Adobe + Day Software Coming Together: Cautious OptimismThe Enterprise Software space is undergoing big change. No, I am not talking about just the shift to SaaS, Cloud, Potentially increasing spend etc. Its seeing momentum of a different kind - form a moment of pause, it is getting rediscovered as being sexy again. Different enterprise players make different moves to sort of remain relevant and continue their growth. This week, Adobe announces its plan to buy Swiss software maker Day Software. Day Software is a content management company focused on the high growth markets of Web Content Management, Digital Asset Management, Social Collaboration and Targeting & Optimization. A quick reading shows that following Adobe’s acquisition of Omniture in September 2009, this move by Adobe is clearly aimed at getting into the web experience management (WEM) market place . The expectation here is that Adobe would help its customers through its combined offerings the capabilities to bring together the audience insight gained through the web analytics of Omniture and Day’s CRX content platform. The acquisition price is about US$240 mn, a 67% premium over Day’s last 90-day average price. Analysts note that Day Software had $44 mn in TTM revenue (based on filings and current exchange rate) and has been growing at 40% yoy. Goldman Sachs estimates the EV value of Adobe to be about $214 mn, which implies an EV/LTM revenue multiple of 5.1X vs. 5.0X for Adobe’s Omniture acquisition. Labels: Adobe, Day Software, Enterprise Software |Tuesday, February 09, 2010Enterprise Software : The Moments Of PauseSAP announced major executive board level changes on Sunday. Léo Apotheker moves out out as CEO and in comes Bill McDermott, head of the field operations, and Jim Hagemann Snabe, head of product development, who will now share the top job. Interestingly, SAP promoted Vishal Sika, chief technology officer (CTO) to the SAP Executive Board. "I was part of the decision that we had to raise maintenance fees," he said. "That is not something we can put in Léo's shoes. This was done by SAP. We made a mistake and we have to change course here, and regain trust from the customers who were more than upset. Unfortunately, the head of the company takes the blame, whether it was just or not."It is well known in the industry circles that SAP by showing cost-of-living indices managed to push maintenance fees at around 22% despite several customer misgivings. On the same development, Bob Evans has a very good piece in InformationWeek on SAP's failure to put its customers front and center: Labels: Emerging Trends, Enterprise Software |Thursday, September 17, 2009The Changing Enterprise Software MomentumChanging economic sentiments, and diminished IPO market create the perfect storm for the Big 4 MISO - (Microsoft, IBM, SAP, and Oracle)as they see the medium/small sized vendors are beginning to make M&A moves. See this: Labels: Enterprise Software |Wednesday, March 11, 2009Opportunites For New Billion Dollar Software CompaniesMR Rangaswami opens up a refreshing discussion on software’s billion dollar question, The article - highly recommended for reading points to possibilities of new billion dollars emerging (while some are skeptical of such large software companies coming out in the near future). I, for one firmly believe that possibilities of new billion dollar software companies are very bright. Lets examine the why and how of such a scenario. The business dependence on digitized processes are getting more and more pronounced. The warp and the weft of business processes are firmly centered around technology . With increasing complexity of enterprise applications, we see that the dilemma of business in supporting existing tech investments which keep increasing on the one hand and the pressure to gain more yields from such investments to make the business more competitive. This challenge is in many ways pushing the business to look for and invest in more and more innovative technology centric solutions. With large software vendors respond slowly to the changing realities or have their own delivery program schedules for providing such solutions, many best-of-breed vendors would be able to move in and begin to provide relief. This demand will provide the fodder for the growth and sustenance of many more billion dollar software companies albeit with varying means of delivery. Labels: Emerging Technologies, Emerging Trends, Enterprise Software |Tuesday, January 08, 2008Microsoft Set To Acquire FAST SearchMicrosoft announces intent to acquire FAST search. FAST, one of the significant player in the enterprise search space post the Verity acquisition by Autonomy, now bites the dust. FAST has had some financial woes of late – but it has good technology capabilities and a large customer base. FAST specializes in enterprise search –particularly centered around unstructured data and has a enterprise scale application with good deployments to showcase. Microsoft has indeed made the right move. The valuation is at around 6X EV/Sales. Clearly, the acquisition of FAST bolsters Microsoft's positioning in the enterprise search market, making it that much more formidable in its enterprise search business against Google. Lets look at this –Microsoft can now span across the stack –covering the entire back-end infrastructure inside the enterprise and with collaboration tools and search – on paper, it shows formidable strength for someone trying to compete with it. Labels: Emerging Trends, Enterprise Search, Enterprise Software, Mergers And Acquisitions |Sunday, December 09, 2007Enterprise Software : Not The Significant OtherScoble says that enteprise software isn’t sexy. Vinnie makes a passionate defence.By definition, enterprise software products are designed to integrate computer systems that run all phases of a businesses' operations to increase internal coordination of work and cooperation across an enterprise. These products facilitate the integration of core business operations and processes, including sales, accounting, finance, human resources, inventory and manufacturing. An implementation might involve a single application, or portions of a single application, or an enterprise system could control all major business processes in real time, via a single software architecture on a client/server platform. Labels: Emerging Technologies, Emerging Trends, Enterprise Software |Friday, October 12, 2007Enterprise Software : Accelerated Innovation Is the Key M.R.Rangaswami writes on what ails the enterprise software industry. They say that youth is fleeting. In the enterprise software industry, the youth are fleeing.One need only look at the hairlines of today’s software leaders. The current wunderkinds are not looking to create the next wave of corporate computing applications, but are instead gravitating toward emerging fields, such as web 2.0, biotech, and anything “green.” Bill Gates was 19 when he founded Microsoft (MSFT). Steve Jobs started Apple (AAPL) at 21. Even Marc Benioff was in his 30s when he founded Salesforce.com (CRM) — and at 42, he remains one of the industry’s youngsters. Software companies need to do more to attract the next generation of business leaders who will drive the evolution of the industry for decades to come. MR is very perceptive in his observation that the industry is dominated by old hands.His prescription for rejuvenating the industry is indeed insightful and the approach very fresh. Labels: Emerging Ideas, Emerging Trends, Enterprise Software |Sunday, October 07, 2007SAP Plans To Acquire Business ObjectsI wrote a brief note for sandhill on SAP's plans to acquire Business Objects. Recently, Oracle moved into the BI space aggressively by acquiring Hyperion. I wrote then,” All I can say is that once can expect more attention on Cognos & Business objects while expecting more traction for players like Outlooksoft". Few weeks later SAP acquired Outlooksoft. Labels: Emerging Technologies, Emerging Thoughts, Emerging Trends, Enterprise Software, SAP |Thursday, August 09, 2007Enterprise Software : Complexity & EffectivenessJust came across this interesting article on the state of the enterprise software industry. The article raises the question, Is enterprise software just too complex to deliver on its promises? After all, enterprise systems were supposed to streamline and simplify business processes. Instead, they have brought high risks, uncertainty and a deeply worrying level of complexity. Rather than agility they have produced rigidity and unexpected barriers to change, a veritable glut of information containing myriad hidden errors, and a cloud of questions regarding their overall benefits Labels: BVIT, Emerging Trends, Enterprise Software |Friday, August 03, 2007Enterprise Software Industry: DirectionsI wrote a brief note in sandhill.com after attendingthe Enterprise 2007 event. Here’s my reflection of the state of the enterprise software industry, as shared by me with the other participants. The note can be read here. Labels: Emerging Trends, Enterprise 2007, Enterprise Software |Tuesday, May 08, 2007Enterprise Software System : More Innovation AheadInnovative software ecosystem is propelling the recovery and growth of the high tech industry – this is the key message of the sandhill customer survey of enterprise software users. Pointing out that innovation is happening at the industry level and not at the product level –MR in his opening note at Software 2007 said the innovative streak can be seen in advances in the form of SaaS, SOA, Vertical Apps, Enterprise 2.0, Delivery innovation etc. Taken as a whole – these have far reaching effects when these intersect. Labels: Emerging Trends, Enterprise Software, Innovation, SAP, Software 2007 |Thursday, April 12, 2007Shai Agassi's New Blog Shai Agassi has a new blog. Subscribed. His postings in the SDN used to be widely read. His farewell blog post at SDN was widely read and had emotional comments left by some of his admirers. My views on his departure from SAP is available here. He is now publishing a new blog. His first blogpost on enterprise software in his new blog opens up an interesting discussion. The debate on monolith vs best-of-breed software. Needless to say that Shai envisions a future where ERP's are core for enterprises for scaling up business. He views that closer to the core processes the harder it is to live with best of bread. But on the edges, he definitely sees things on the boundary line of ERP that will get interesting offers from many vendors. Labels: Emerging Trends, Enterprise Software, Shai Agassi |Wednesday, April 11, 2007Showcase Innovation Winners In Software Space Innovation would be the mantra for growth & survival for enterprise software players, including those seen as walking dead – In the valley it is innovation driving the growth Labels: Emerging Technologies, Emerging Trends, Enterprise Software, Innovation, Software | |
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