Workforce Planning Software

Workforce planning has always been an incredibly complex and difficult task. Despite valiant efforts to improve these models, they have remained relatively static and simplistic, relying predominantly on small teams crunching data or on predictions from the hiring manager community. In an ideal world, we would shift from a static, once-a-year exercise to a dynamic, more proactive model. We would stop reacting to what's happening now and start anticipating what's likely to happen next. Last week, I had the pleasure of spending time with our enterprise data and analytics team, a group that services over 800 customers. The most exciting topic we discussed was three pilots we're running with customers right now that aim to make this a reality: using a digital twin for work planning. It works by connecting vast amounts of external market data with a company's many internal data sources, some they typically wouldn't consider, such as ERP, CRM (sales), LMS, and Time and Attendance systems. This allows us to run scenarios and model future talent needs. Here’s a concrete example: By analyzing Salesforce, HRIS, and ATS data, we can predict that when multiple prospect opportunities reach a specific stage in our customer’s sales cycle, there is a high likelihood of winning at least one of them. We can then analyze the consistent skill sets across all of those prospect opportunities, allowing us to confidently and proactively start a recruitment process for those skills. The goal being that we have candidates at the final stages of the process, before an official requisition has been raised, positively impacting time to hire. We’ve also been able to replicate a similar model based on website sales activity. The question to ask is: what data is generated in what system that allows you to get ahead of the hiring process today. 

Is it possible to plan effectively in a world where market trends and workforce dynamics are in constant flux? Workday Adaptive Planning, latest innovations suggest a resounding yes, offering a beacon of clarity in the fog of economic and technological change. For businesses navigating the unpredictable currents of global markets and the tech revolution, staying afloat requires agile decision-making tools. Workday Adaptive Planning now boasts AI enhancements designed to simplify the complex choreography of finance and HR planning. The software's generative AI allows planners to test countless scenarios effortlessly, ensuring strategies are robust before they hit the ground. With machine learning at the helm, predictive forecasting becomes a breeze, offering a user-friendly way to anticipate demand. At the heart of these advancements is the Elastic Hypercube Technology, equipped with AI to meet intricate multi-dimensional planning needs. It's not just about the numbers; the workforce planning tool ensures you have the right people on the right projects, optimizing headcount to meet future business needs. By centralizing financial and workforce data, Workday promises not just insight but efficiency—potentially reclaiming thousands of hours for global enterprises. The Human Capital Management interface has been retooled for simplicity, seamlessly integrating updates across systems. When hiring plans need to pivot, the automated headcount reconciliation process offers real-time cost analyses, empowering leaders with the foresight needed for strategic cost management. Workday's operational planning isn't just reactive; it's predictive, fostering collaboration and adaptability across all business facets. The result? An organization that's as dynamic as the market it thrives in. The confidence in Workday's solutions is reflected in its steady customer growth and financial performance, outpacing industry averages. Behind the scenes, the company's commitment to integrating advanced AI and ML capabilities points to a future rich with innovation and efficiency. In just a year, Workday has seen its stock soar by nearly 50%, a testament to the market's belief in its vision. As they continue to harness AI for growth, the path ahead looks promising. Interested in how Workday's solutions can streamline your planning processes? Connect with me and the eCapital Advisors team, and let's turn your finance and HR planning into your strategic advantage. 🔽 🔽 🔽 👋 Hi, I'm Lisa. Thanks for checking out my Post!   Here is what you can do next ⬇️   ➕ Follow me for more FP&A insights    🔔 Hit the bell on my profile to be notified when I post   💬 Share your ideas or insights in the comments ♻ Inform others in your network via a Share or Repost #digitaltransformation #finance #business #technology #cfo

3 things managers urgently want: 1. Easy collaboration Managers are looking for tools that facilitate collaboration across departments and make it easy for stakeholders to input data and access insights. User-friendly interfaces that don't require extensive technical knowledge are key. These tools should offer customizable dashboards, intuitive reporting features, and mobile accessibility. They should also support seamless collaboration between HR, finance, and operations teams, ensuring cross-functional workforce planning. 2. Real-time data integration and analytics Managers need tools to pull data from various business sources in real-time. This includes information from HRIS, ATS, performance management systems, and financial databases. Modern workforce planning tools should offer powerful analytics capabilities, allowing HR to quickly analyze trends, identify skill gaps, and forecast future talent needs. With data-driven insights at their fingertips, HR can make more informed decisions about hiring, upskilling, and resource allocation. 3. Scenario modeling and predictive capabilities Modeling different scenarios and predicting outcomes is crucial for effective workforce planning. HR wants tools to easily create "what-if" scenarios based on various business conditions, operational changes, or market shifts. These tools should leverage AI and machine learning to provide predictive analytics, helping HR anticipate future talent needs, potential attrition risks, and the impact of different workforce strategies. This foresight empowers HR to be more proactive in planning and better aligned with overall business objectives. Takeaway: ERP and ATS systems are foundational but not enough for true strategic workforce planning. Managers need tools that don't just manage data but leverage it. 45% of HR leaders prioritize strategic workforce planning. P.S. I'm Warren Wang, the CEO and founder of Doublefin. I spent 12 years at Google in finance leadership roles, including in Corp FP&A driving company-wide financial planning, headcount planning, and later as a finance director.

🎙️ "AI turns workforce planning into a dynamic capability system that aligns skills, capacity and AI support with demand." A recently published paper by the World Economic Forum and Accenture highlights five critical focus areas for AI-driven transformation: 1️⃣ Real-time individualised customer experiences, 2️⃣ Efficient and resilient operations, 3️⃣ Accelerated R&D and breakthrough innovation, 4️⃣ Predictive AI-powered strategic planning, 5️⃣ Data-driven, personalised talent experience and workforce planning. 🦾 For HR leaders, the last two are particularly relevant. Predictive, AI-powered strategic planning shifts strategy from a periodic exercise to a continuous process. AI enables ongoing signal interpretation, comparison of multiple options, and dynamic reallocation of capital, talent, and capacity. The result is tighter alignment between strategy and execution, with leaders steering in real time rather than committing to fixed plans. Perhaps the most profound shift sits in talent and workforce planning. AI moves organisations from role-based structures to capability-based systems, where skills are continuously mapped, deployed, and developed. Workforce planning becomes dynamic, supported by real-time talent intelligence, internal mobility, and AI-augmented teams. This allows organisations to anticipate capability gaps, redeploy talent faster, and align workforce supply with changing demand. My key takeaway: workforce planning must evolve from a static headcount exercise into a continuous, data-driven system that directly supports business strategy. Kudos to the lead authors of the report: Fatima Gonzalez-Novo Lopez, Jill Hoang and Karen O'Regan. 🔗 The report is featured in the March edition of the Data Driven HR Monthly, which you can access here: https://lnkd.in/eUruif_P 🔗