Measuring the real business impact of a data product marketplace. With pressure on budgets, all data and technology investments need to deliver business value and support corporate objectives. Huwise explain how data product marketplaces create these benefits, based on a new Forrester Total Economic Impact(TM) report. Chief Data Officers (CDOs) and Chief Data & Analytics Officers (CDAOs) face tough choices around their technology investments. With a wide range of solutions available in the market, which will deliver the real business benefits that they are looking for? Which will improve efficiency and enable AI-driven innovation? The key to creating value is to ensure that an organization's data is being consumed at scale, both by human employees and AI agents. This not only improves performance, but demonstrates to the board that data teams (and their budgets) are essential to business competitiveness. Data product marketplaces underpin this greater data consumption, making data easily discoverable and usable by all through intuitive self-service. To find out exactly how this value and ROI is created, Huwise commissioned Forrester Consulting to conduct a Total Economic Impact(TM)(TEI) study on the financial benefits its data product marketplace delivers. The result? The TEI found a 474% ROI, payback in six months and $6.5 million in net benefits over three years for a 10,000 employee company. Understanding the TEI ROI methodology. Forrester Consulting's TEI is built on analysis of interviews with four Huwise customers from the banking & finance, insurance, technology and energy & utilities sectors. These findings were aggregated and combined into a single composite organization with 10,000 global employees. The TEI is designed to highlight both tangible benefits around efficiency, time-savings and improved performance, as well as less quantifiable value a solution delivers to the organization. Building a business case for a data product marketplace. Based on an intuitive, e-commerce marketplace-style experience, Huwise's data product marketplace solution is designed to increase data consumption and value. It enables organizations and their employees to provide secure, compliant self-service access to data in the right formats to deliver understanding and usage by both humans and AI. Forrester's analysis demonstrates quantifiable benefits for three groups - business users, data teams, and IT. Benefits for business users - faster, more trustworthy data access. One of the biggest barriers to increasing data use is that business users find it difficult to find the right data for their needs. They spend too much time searching for data, rather than using it in their working lives. Huwise's intuitive, e-commerce style experience solves this issue, with AI-powered discovery helping reduce the time business users spend searching for data by half. Result: 50% reduction in time spent searching for data delivering $4.5 million in productivity savings. Benefits for data teams - time reductions in data preparation and duplicate work. Data teams are under pressure to deliver more at a strategic level, but often find their time taken up by basic data management and data preparation tasks. Using Huwise leads to a 50% reduction in data preparation time, saving 3 days per month, per person. By providing a centralized source of governed data products it also leads to a 4x reduction in duplicated work, freeing up time for higher-value activities. Result: 50% reduction in data preparation time, saving 3 days per month, per person and equating to $3.0 million in savings. Result: 4x reduction in duplicated work through data product sharing, saving 10 days per year, per data expert, saving $223,000. Benefits for IT teams - dramatically cutting business requests for data. Without self-service access, all business requests for data are made directly to IT teams. This causes bottlenecks and prevents IT focusing on more strategic activities. Thanks to Huwise's intuitive self-service capabilities, users can easily access the data they need independently from IT. This saves 720 hours per year, while tool consolidation cuts license costs by 50%. Result: 720 hours per year saved for IT, with tool consolidation cutting license costs by 50%, providing a total saving of $111,000. Measuring the unquantifiable benefits. The report shows that Huwise delivers more than greater efficiency. It also benefits organizations in five key ways: * Increases value from existing data investments, by finally making data in these solutions easily available to all * Improves data literacy and builds a data-driven culture, increasing business confidence in data through an engaging, self-service interface * Boosts organizational agility, through a single, consistent source of information * Enables agentic AI deployment through reliable, AI-ready and contextualized information * Simplifies deployment through a SaaS-native platform, reducing long-term operational costs compared to in-house solutions Adding up the benefits. Taken together, Forrester calculates that these benefits add up to $7.8 million for a 10,000 employee company over three years. After subtracting investment costs of $1.3 million, Huwise therefore generates $6.5 million in net benefits by making data sharing faster, simpler and more efficient. Find out more by reading the full Forrester report here - or calculate your own ROI using its online calculator. Faq. Articles on the same topic: Anne-Claire Bellec has more than 15 years of experience in marketing strategy. She has previously held roles as Chief Marketing Officer and Director of Communication within both agencies and SaaS companies specializing in data and digital solutions.

Forrester has launched its AI Disruption Model to assess artificial intelligence's impact across technology and service markets. The model, applied to 17 categories comprising over 200 markets, evaluates whether AI will accelerate, disrupt, reshape, or minimally affect individual sectors. The research reveals that infrastructure providers, data and AI platforms, and cybersecurity services are positioned for growth as enterprises scale AI deployments. Conversely, labour-intensive knowledge-work industries, including transformation services, software development, and creative services, face significant disruption as AI replaces human-performed tasks. Many enterprise software categories will be reshaped rather than displaced, sustained by embedded workflows, regulatory requirements, and switching costs. The model analyses factors including AI substitutability, labour intensity, commercial models, and regulatory friction to help technology leaders anticipate AI's impact on their portfolios.

Beyond the "SaaSpocalypse": introducing The Forrester AI Disruption Model. Craig Le Clair, Vice President, Principal Analyst Aug 19 2026 The 2026 narrative surrounding the "SaaSpocalypse" misses the bigger picture. While most commentary fixates on seat-based revenue compression (predicting that AI agents will kill off software licenses), that's only one of nine critical disruption factors. As a global research firm that evaluates the entire technology landscape, Forrester has created a data-driven AI Disruption Model. This model, built on Forrester research and publicly-filed information, cuts through the noise to brings transparency to market changes and a comprehensive framework for what comes next. The Design Of Forrester's AI Disruption Model The Forrester AI Disruption Model evaluates 17 technology and service categories spanning more than 200 markets. The framework analyzes structural market dynamics across nine critical drivers, including AI substitutability, labor intensity, commercial model, support for agentic workloads, switching costs, and regulatory friction. The central insight from the model is clear: AI's effects won't be distributed evenly. While some markets and vendors face extreme headwinds, others are poised for historic acceleration. * Disrupted markets - where AI reproduces core value. If AI can do something that a person or an existing software product can do, it will. Vendors and service providers in this bucket face pricing compression, seat erosion, and commoditization of their core capabilities or feature sets. The most severe disruption stemming from AI hits labor-intensive markets, such as technology implementation, custom software development, creative services, and corporate training. These markets are under immense pressure as AI takes over activities previously performed by human experts * Neutral markets - where value isn't primarily informational. If vendors and service providers offer capabilities that are physical, focused on regulated markets, or protected by high switching costs, they're less disrupted by the shift to AI. Neutral drivers keep AI progression at bay and value stable. * Contested markets - positioned to move towards accelerated territory. Contested vendors and service providers see a balance of neutral and accelerated drivers that allow a pivot toward accelerated territory. They won't sit back and wait to be disrupted, but will shift investment capital and R&D to agentic workload and data, trust, and sovereignty support. Vendors in this category can infuse AI positively into their platforms but face execution, capital, and labor pivot challenges. * Accelerated markets - sell picks and shovels for AI workloads. Providers of infrastructure, data, model, integration, or trust capabilities are the foundation of agentic workflows - and the future anchors of AI-powered business. Demand for these offerings scales directly with AI adoption: The more custom AI agents and targeted agentic systems enterprises deploy, the more technology these providers sell. The Forrester AI Disruption Model Helps You Navigate The AI Overhaul The challenge for enterprise tech buyers, vendors, and service firms alike is understanding how AI reshapes markets. Whether you're a buyer trying to optimize your tech portfolio or a vendor defending your market share and future, Forrester's AI Disruption Model provides a blueprint to understand this shift. Enterprise tech buyers should use the model as a procurement shield, isolating obsolete, debt-ridden tools to funnel investment toward scalable, agentic-ready vendors. For technology vendors and service providers, the model offers an actionable defensibility roadmap to evaluate exposure, protect core revenue, and pivot toward long-term growth before legacy models run out of steam. See craig Le Clair at: Technology & Innovation Forum East November 4-5, 2026, New York City AI access: for every role. And every decision. How do you know when an AI use case is too risky to pursue? The answer has less to do with the technology itself and more to do with whether your organization has the governance, processes, and decision-making discipline needed to support it. The merger of revenue enablement platform (REP) archrivals Seismic and Highspot is now complete. The combined company positions itself as a go-to-market (GTM) performance company focused on revenue execution rather than traditional enablement, serving thousands of customers and millions of users while investing more than $100 million annually in R&D. The important "What's next?" following [...]