Analyst Perspectives

The quickest way to derail an HR analytics effort is to publish a dashboard that people do not believe. You can feel it in the meeting when the questions stop being about decisions and start being about whether the numbers are real. Leaders ask for “the actual headcount,” HRBPs keep their own trackers, and the room quietly agrees the system is helpful but not authoritative. At that point, the...

I recently attended ADP’s 2026 Rethink event and had the chance to hear the company’s latest thinking for its international clients and analyst community. The HCM market is shifting quickly. AI is accelerating across the enterprise, labor markets are reshaping themselves, and buyers increasingly expect unified platforms that connect HR, payroll, workforce management, data, and intelligence. ADP...

A payroll leader gets a message the morning after payday: “Why is my net pay lower than last period?” In many organizations, that question still sends employees into a maze of portals, PDFs, tickets and handoffs. Payroll is not a background utility in the eyes of employees: it is one of the most frequent and emotionally loaded moments of truth. When pay is right, people move on. When it is wrong,...

You can’t upend the entire technological infrastructure for an industry without seeing some ramifications in the form of personnel shifting and dislocation. Contact centers are smack in the middle of a transformation that is remaking the toolset and forcing businesses to rethink both the fundamental purpose of their centers and the mix of managerial and operational employees.

HR and Finance rarely agree on the same numbers, and the reasons run deeper than a simple spreadsheet mismatch. It’s a symptom of siloed business processes and disconnected data models that create misalignment at every turn. Underneath that are unclear data definitions, governance strategies without real accountability and cultural priorities that pull the two functions in different directions....

Buying HR technology is a significant decision. It requires months of software provider reviews, internal alignment, business case development and implementation planning. When the contract is signed and the system goes live, it often feels like the hard part is over. In reality, the work that determines actual success is just beginning.

Let's be blunt: The pressure to adopt AI in HR is a panic button being hit by the C-suite. The mandate from the boardroom is clear, and the pressure is intensifying: HR must adopt AI to remain competitive. This directive often lands on the desks of HR leaders who are already managing complex environments, creating a dangerous disconnect between executive ambition and operational reality.

Integration has evolved from a technical requirement into a strategic cornerstone in today’s HR technology landscape. Yet many organizations still treat connectivity between systems as a back-end IT concern rather than the foundation of the employee experience. That mindset is rapidly becoming a liability. The reality is simple: If your systems cannot connect, your strategy cannot connect either.

HR technology is entering a new era, and with it comes a challenge that many leaders underestimate: the need to embrace platform thinking as a core competency. For years, we’ve approached technology decisions as a way to solve pain points—patching gaps, fixing inefficiencies and responding to immediate needs. That mindset is understandable, but it’s also the reason so many organizations are...

You can buy the flashiest software in the marketplace, win awards for digital transformation and run a picture-perfect implementation project. But if your data foundation is shaky, none of it will deliver. Organizations invest millions in tools only to stumble over incomplete, misaligned or fragmented data. The wall they hit afterward? It is built from poor decisions disguised as “glitches.”

You can’t examine an HR software roadmap today without encountering AI—ubiquitously. Natural language search, skills inference, personalized learning, intelligent automation, adaptive planning, worker twins, conversational agents... These aren’t just new features; they represent a new organizing principle. A new architecture for how platforms structure work and how individuals engage with systems.

There’s a subtle but important truth I’ve seen play out across dozens of organizations: HR software doesn’t define your strategy—but it will expose whether you have one. Too often, organizations treat the HR software stack as a series of independent decisions: a new ATS here, a learning platform there, maybe a refreshed core HRIS every few years. Each decision is justified on its own. Each serves...

Skills software is everywhere right now. Talent marketplaces, intelligent learning platforms, artificial intelligence (AI)-powered upskilling tools—the market is saturated with promises of personalized growth, agile workforce planning and dynamic career pathing. And to be clear: the vision is compelling. The idea of surfacing internal talent, guiding career development and aligning skills to...

For nearly 20 years, I have attended the Human Resources Technology Conference and Expo to take the temperature of the market. This year, the energy felt different—less showy, more grounded. I was able to engage with more than 40 software providers for deeper-dive discussions, and I left with three big takeaways and one nagging concern that I can’t shake.

It’s easy to celebrate a go-live. It’s visible, it’s measurable and it comes with a finish line. But anyone who’s been through an HR technology implementation knows that go-live isn’t the end. It’s the beginning.

Frontline work is being reshaped from every direction: tighter labor pools, unpredictable demand and a workforce that expects more than just a paycheck. Yet too many organizations are still treating workforce scheduling like a game of Tetris—moving blocks around and hoping they fit. It’s time to admit that smart scheduling isn’t just a nice-to-have—it’s a frontline imperative. And if the...

I recently attended the Oracle Apps & Industry Analyst Summit in Redwood City, California. Over the course of two days, Oracle offered a concentrated look at a market that is both racing ahead and tripping over its own shoelaces. Generative, predictive and now agentic artificial intelligence (AI) have become the new currency of competitive advantage across HCM; Oracle alone has delivered more...

Turnover rates have taken center stage in workforce discussions, often being the first metric leaders request when assessing the state of the workforce. Yet, in isolation, turnover is one of the least understood indicators we have. Relying solely on turnover is like driving a vehicle using only your side and rearview mirrors; you’re reacting to what has already happened, without a clear view of...

HR software for HCM is supposed to be the great enabler of a better employee experience. It promises to streamline processes, create seamless engagement and elevate the workplace into something dynamic, personalized and intuitive. Yet, for many organizations, the reality is far from the promise. Instead of making work better, HR software often becomes a tangled web of disconnected tools,...

Workforce planning has long been a cornerstone of business strategy, yet many enterprises still approach it with outdated methods. Traditionally, it has been rigid, reactive, subjective and often siloed. But as industries evolve—especially those with high turnover and a large frontline workforce, like retail, healthcare and hospitality—companies must rethink how they forecast talent needs....