Most organisations now have more data about how users interact with their digital products than they know what to do with. Page views, session durations, funnel drop-off rates - the dashboards are full, but the question that actually matters is still hard to answer: why are people leaving, and what can we do about it? Digital experience analytics exists to close that gap, connecting quantitative behaviour data with qualitative insight to give product, UX, and marketing teams

The first 90 days of employment have always mattered, but in 2026 they matter more than ever. With hybrid and distributed workforces now the norm, organisations that rely on ad hoc onboarding - a stack of paperwork, a laptop courier, and a calendar invite - are seeing the consequences in higher early attrition, slower time-to-productivity, and poor employee experience scores. The cost of a failed hire is well documented; the cost of a disengaged one who stays is harder to mea

Finding information inside your own organisation has quietly become one of the most expensive unsolved problems in enterprise IT. Employees spend hours each week hunting for documents, policies, customer records, and institutional knowledge buried across dozens of disconnected systems. In 2026, the arrival of AI-powered search and retrieval-augmented generation (RAG) technology has turned enterprise search from a back-office utility into a strategic priority - and a fast-movi

The original data lake promise was simple: store everything, figure out what to do with it later. In practice, that promise aged badly. Organisations that invested in first-generation data lake architectures through the 2010s frequently ended up with what the industry quietly called a "data swamp" - a vast, cheap repository of raw data that was technically accessible but practically unusable, because without structure, governance, or performance-oriented tooling, data enginee

AI initiatives stalling in pilot. Dashboards showing contradictory numbers. Regulatory submissions being questioned. Operational decisions made on data nobody quite trusts. These are the symptoms of a data quality problem - and in 2026, they are more visible and more consequential than ever before. As organisations attempt to scale AI, automate more of their operations, and meet increasingly stringent data governance requirements, the quality of the underlying data has become

You cannot manage what you cannot see - and for most large organisations, the honest answer is that significant stretches of their supply chain remain invisible. Purchase orders leave the ERP and enter a black box of carriers, forwarders, ports, and third-party logistics providers. Shipments are late before anyone knows to act. Disruptions compound because the first signal arrives too slowly. Customer promises are made without confidence that the underlying supply chain can k

Enterprise IT teams in 2026 are managing more infrastructure complexity than ever - spanning on-premises, multi-cloud, containerised, and edge environments simultaneously, often with leaner teams and tighter budgets. IT Operations Management (ITOM) software exists to bring order to that complexity: automating routine tasks, providing end-to-end visibility, and ensuring the business services that run on IT infrastructure stay available and performant. AI is reshaping this cate

The way organisations manage their people has changed more in the last five years than in the previous twenty. Hybrid working, skills-based talent strategies, real-time workforce analytics, and the rapid embedding of AI into HR processes have collectively raised the bar for what a Human Capital Management platform needs to do. Buying decisions that were once driven primarily by payroll accuracy and headcount administration are now shaped by questions about employee experience

Running payroll across multiple countries is one of the most operationally demanding challenges in HR and finance. Tax codes change, compliance obligations differ by jurisdiction, currencies fluctuate, and the consequences of getting it wrong - from employee dissatisfaction to regulatory fines - are immediate and serious. For organisations with employees in five countries or fifty, the question of how to manage global payroll accurately, efficiently, and at acceptable cost is

Tanium built its reputation on something genuinely distinctive: a linear chain architecture that allows security and IT operations teams to query and remediate every endpoint across a global estate in seconds, not hours. For large enterprises with complex, distributed infrastructure, that speed-at-scale capability has been hard to match. But not every organisation is running that kind of estate - and even those that are sometimes find that the platform's cost, complexity, or

Most HR leaders would agree that the systems holding their people data together are overdue for a rethink. Whether you are running a patchwork of legacy tools, a spreadsheet-heavy process, or an HRIS that has simply grown too rigid for the way your business operates today, the pressure to modernise core HR is real - and growing. In 2026, the market has never offered more credible options: cloud-native platforms have matured, AI-powered automation is transforming routine HR ad

If you run a business with somewhere between 100 and a few thousand employees, you already know the tension: your processes have outgrown spreadsheets and bolt-on tools, but you are not ready - or willing - to invest the time and cost that comes with a full-scale enterprise ERP deployment. The mid-market ERP space has never been more competitive, and 2026 is a pivotal year - AI-powered automation is being embedded into core finance, supply chain, and HR processes, and vendors

UK finance leaders face a decision in 2026 that is both more urgent and more complex than at any recent point. On one side, the pressure to replace legacy on-premise finance systems has intensified - SAP is ending mainstream support for its widely used ECC platform in December 2027, pushing thousands of UK organisations on to a modernisation timeline whether they chose one or not. Making Tax Digital is expanding its scope, digital record-keeping requirements are tightening, a

Finance teams in 2026 are being asked to do something that would have been impossible a decade ago: plan continuously, forecast in near real time, and model multiple scenarios simultaneously - all while headcount stays flat and the pace of business keeps accelerating. The FP&A software market has responded with a wave of AI-native platforms, connected planning tools, and cloud-based modelling environments that are redefining what a modern finance function can deliver. Whether

For finance and treasury teams, the pressure to manage cash, liquidity, and financial risk in real time is only growing. Rising interest rates, currency volatility, and tightening regulatory requirements have pushed treasury management from a back-office function to a boardroom priority in 2026. The market for treasury management systems (TMS) is responding - with AI-driven forecasting, deeper bank connectivity, and cloud-native platforms increasingly replacing legacy on-prem

Supply chain teams are under more pressure than ever to plan accurately, respond to disruption fast, and do more with leaner resources. The tools that got businesses through the last decade - spreadsheet-driven planning cycles, legacy APS systems, and manual exception management - are struggling to keep pace with the speed and complexity of modern supply chains. AI is changing what is possible in supply chain management. A new generation of platforms uses machine learning, re

Most organisations know they have an IT asset management problem long before they do anything about it. Laptops that appear on the network but not in any register. Software licences being paid for that nobody is using. A cloud spend that has grown faster than anyone's ability to track what was provisioned and by whom. Audit requests that trigger weeks of spreadsheet archaeology. The consequences range from wasted budget and compliance risk to genuine security exposure - unman

The volume, speed, and sophistication of cyber threats have long since outpaced what human-only security operations can manage. Security teams are drowning in alerts, understaffed relative to the threat landscape, and operating tools that were designed for a perimeter that no longer exists. AI is not a silver bullet for any of this, but in 2026 it has become the defining capability that separates security platforms that help teams work at the speed of the threat from those th

Unpatched vulnerabilities remain the single most common entry point for ransomware, data breaches, and cyber incidents across organisations of every size. The challenge is not usually awareness - most IT teams understand that patching matters - it is the operational complexity of keeping thousands of endpoints, servers, and third-party applications consistently patched across mixed OS environments, remote workforces, and increasingly stringent change management processes, wit

Sales teams have always had more data than they know what to do with - call recordings no one listens to, CRM records that are out of date, pipeline figures that sales managers quietly adjust before presenting to the board. What is changing in 2026 is that AI is finally turning that data into something actionable at scale: accurate deal scoring, automatic call analysis, AI-generated follow-up content, real-time coaching during live conversations, and intent signals that ident