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Workforce Analytics

The Impact of Contingent Workforce Management Analytics

Today’s total talent management strategies rely on analytics to execute workforce objectives. For extended workers who comprise nearly half of enterprises’ entire labor force (49%, according to our research), analytics are even more crucial to developing metrics and optimizing performance. Recent Ardent Partners and Future of Work Exchange research indicates that 81% of organizations cite the improvement of contingent workforce management (CWM) analytics as a priority, highlighting the importance of deeper, more insightful data and analysis.

CWM Analytics for Insights

According to Beeline, a leading contingent workforce solution provider, “For many organizations lacking formal analytics and reporting on their contingent workforce, identifying key metrics can even be challenging.” The focus on analytics goes well beyond hiring, scheduling, and payment data, to include deeper areas of concentration. The following are several analytic subsets imperative to contingent workforce management and performance.

Spend Management

Enterprises can utilize CWM analytics to help track and manage their spend on contingent workers. This includes data on billing rates, contract terms, and other expenses related to the use of contingent labor. Utilize data visualization tools such as dashboards and reports to make it easy for stakeholders to access and understand spend data related to CWM.

Beeline states, “Understanding bill rates, pay rates, and the margins between them per vendor, can be an incredibly powerful negotiation tool. Armed with this data (and more), you can have productive, data-backed discussions with vendors, enabling you to clearly understand what rates vendors should offer to make themselves more attractive and competitive than others.”

Performance Metrics

Measure the performance of your contingent workers with metrics for time-to-fill, retention rates, and quality of work. The Future of Work Exchange regularly reports how enterprises are pivoting to skills-based hiring. As those approaches increase, performance metrics for extended labor will be paramount to total workforce strategies and planning initiatives.

Such data can identify where talent gaps exist as well as which extended workers possess the skills for more critical projects. Also, don’t overlook analytical tools such as artificial intelligence and machine learning to synthesize and identify patterns and insights.

Legal and Regulatory Compliance

A global contingent labor pool means greater attention to legal and regulatory compliance. Analytics can help organizations remain compliant by tracking data on worker classification, hours worked, changes to regional laws and regulations, and other compliance-related metrics. “You need to know, for compliance, payroll, and project planning purposes, exactly how many employees are engaged in your projects at any one time – so you can track the costs, project status, and progress compared with statements of work (SoWs),” adds Beeline.

Workforce Planning

The Future of Work is not only focused on workforce needs today but the requirements for tomorrow as well. By analyzing historical data on contingent labor usage, organizations can make informed decisions about when and where to engage extended workers long term. Historical data combined with predictive workforce analytics can provide a holistic picture of future needs. Continuously monitor the data and adjust your strategies as needed to optimize your CWM requirements.

Organizations must take control of their CWM analytics if they hope to optimize their use of contingent labor, minimize costs, and improve the performance of their workforce. It’s a combination of being cost-effective while enabling data-driven decision-making to reach performance targets. HR and business leaders will only rely more on big data and analytics to accomplish enterprise workforce objectives. CWM will be at the center of those insights and decisions.

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A New Era of Innovation, Part VI: The The Future of Workforce Technology

Over the past several weeks, the Future of Work Exchange has showcased a series of articles dedicated to the latest wave of innovation in the realm of technology associated with the Future of Work movement. This special feature series shone a spotlight on trailblazing providers who are not only transforming the methods by which businesses discover, engage, acquire, and oversee talent but also on how they harness this talent to enhance their work processes.

With advancements in areas like direct talent acquisition, digital staffing, Vendor Management Systems (VMS), extended workforce management, total talent management, and Managed Service Provider (MSP)-led services, the field of workforce solutions has emerged as a revolutionary influence in the contemporary business landscape. Its nimbleness empowers companies to stay at the forefront of change, its adaptability aligns with the shifting nature of work, and its relentless pursuit of innovation consistently reshapes the terrain of talent acquisition and management.

As businesses continue to navigate the ever-evolving landscape of talent, the workforce solutions industry remains an essential catalyst for success, providing the essential tools and strategies necessary to thrive in an increasingly competitive environment. Today, we introduce four additional solutions that epitomize this new era of innovation.

Ceipal

It’s no secret that the dynamics of talent engagement, talent acquisition, and talent management are shifting alongside the greater world of work. Businesses that want to thrive during an age of true globalization must execute on deeper hiring strategies; simple technology alone will not support the omni-channel recruitment initiatives that are required to find, engage, and hire Best-in-Class talent and expertise.

Ceipal represents the future of total talent management in that the platforms offers a robust, real-time convergence of ATS, contingent workforce management, diversity automation, CRM, and traditional talent management. The arrival of the company’s proprietary VMS solution, ProcureWise, enables Ceipal to traverse into new and innovative territory; the organization’s forward-thinking vision includes a future that is paved with Future of Work-era digitization, seamless talent acquisition, and total talent management technology.

Mothership

The realm of digital staffing continues to transform the Future of Work arena. Years ago, that very phrase, “digital staffing,” was typically associated with automated staffing processes via digital outlets of freelancers and contractors (such as Freelancer Management Systems). Today, digital staffing represents a veritable talent revolution, with shifting functionality that is tailored for a volatile labor market and the progression of talent acquisition.

At its core, Mothership stands as an innovative digital staffing platform, seamlessly connecting users to a roster of elite talent by harnessing a dynamic fusion of total talent strategy, artificial intelligence, machine learning, and robust workforce management capabilities. Embodied as a true “ecosphere” of technology, Mothership transcends conventional talent acquisition paradigms, offering its clientele immediate access to a diverse spectrum of candidates, spanning the realms of creativity, professionalism, administration, and beyond.

ProHance Analytics

Data is the foundation of workforce management in today’s hyper-competitive, globalized market. As workforces become more diverse, distributed, and comprised of various channels of expertise, enterprises will require tools that streamline analytics and provide real-time guidance regarding productivity, performance, and a viewpoint into a “future state” of how the workforce will look given internal and external factors.

ProHance is an industry leader within the realm of enterprise workforce analytics, productivity intelligence, and operational empowerment, delivering an advanced, cloud-based platform tailored for the hybrid work environment and productivity enhancement. In an age when remote and hybrid work has become table stakes for the contemporary enterprise, solutions like ProHance enable businesses to track productivity beyond simple metrics and generate real-time workforce intelligence to the executive leaders that crave actionable insights.

VectorVMS

The extended workforce has only grown in its sheer impact and value during mid- and post-pandemic times, as Ardent Partners and Future of Work Exchange have discovered (fun fact: 49.% of the average company’s overall workforce is comprised of external talent). VMS technology has come a long way since its inception as “eProcurement for staffing,” with today’s vendor management platforms serving as the true nexus of extended workforce management.

VectorVMS is a progressive VMS platform that prioritizes not only the traditional elements of contingent workforce management, but also presents an agile, end-to-end suite of solutions that include innovative attributes, such as learning and development, deeper DE&I automation, robust flexibility for CWM programs that require nimble functionality, and a shared services offering that blends the power of its VMS platform with MSP-like offerings.

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Optimize Your Workforce with Recession-Proof Strategies, Part Three

Today concludes our three-part series exploring several contingent and workforce strategies to achieve a recession-proof enterprise.

We’re now two months into the second half of 2023 and economically speaking, things are looking positive. The Bureau of Economic Analysis reports that GDP grew 2.4% in the second quarter of 2023. The labor market remains tight with unemployment at 3.6%, a rate not witnessed in decades. However, according to the U.S. Bureau of Labor Statistics, the tight labor market provides the Federal Reserve with the flexibility to continue raising interest rates to fight inflation. Currently, inflation rests at 3%, a percentage point higher than the Federal Reserve’s longer-run goal of 2%.

Does the state of the current U.S. economy equate to a “soft landing” and the evasion of a recession? Maybe, maybe not. Due to the expectation of continued interest rate increases and the potential ramifications, uncertainty remains among executives and their enterprises. Thus, many are considering strategies over the next six to 12 months to recession-proof their critical workforce and their organizations.

Let’s begin part three by exploring employee engagement and how that dovetails into workplace visibility and intelligence and better workforce decision-making.

Prioritize Employee Engagement and Experience

Enterprises successful with total talent management initiatives credit prioritizing employee engagement and experience. Engagement and experience begin at the first touchpoint between job candidates and the organization. Candidates gain an understanding of the workplace culture and workforce priorities. This only carries through as an employee where communication, collaboration, DE&I, flexible scheduling, and wellness programs are emphasized and implemented. When workers understand the criticality of contingent to permanent employee engagement, instituting surveys, focus groups, and other feedback mechanisms for data gathering and workforce improvement are accepted and valued. Those analytics enhance the employee experience and provide strategic insights for enterprise operations.

Enhance Workforce Visibility and Intelligence

Implementing employee surveys and leveraging HR systems and similar technologies are essential to gaining greater workforce visibility and intelligence. The process should begin with three main focal areas. First, define the goals and metrics the organization wants to achieve. Is it attracting more skills-based candidates? Improving workforce productivity? Reducing turnover rates? Optimizing workforce resources? With those metrics defined, KPIs can be established to measure progress and achievement.

Second, ensure that data collection occurs in a centralized system for ease of analysis and interpretation. Data is likely to come from several disparate systems that when analyzed together reveal unknown insights. HR data combined with performance metrics can show correlations between training and productivity, for example.

Third, today’s integration of artificial intelligence and machine learning technologies is integral to sifting through volumes of data for meaningful insights and patterns. Use these analytic tools and similar platforms to streamline data synthesis and transparency.

Utilize Workforce Data and Intelligence for Better Decision-Making

With data residing in a centralized data warehouse, HR and business managers can leverage such data and intelligence to enhance employee engagement programs and optimize enterprise workforce operations. Talent strategies around recruitment, acquisition, and retention are prime areas where optimization can occur. How is the enterprise projecting itself in the marketplace to attract candidates? Is direct sourcing driving a large percentage of the acquisition strategy? If so, what channels are being underutilized? Are there strategies to keep valuable employees engaged?

Most importantly, use workforce intelligence for better planning and resource allocation. Combining historical data with market trends, enterprises can better predict future staffing needs. It provides a proactive approach to addressing skill shortages or overages and optimizes resource allocation to meet business demands efficiently.

While economic uncertainty remains, enterprises can better prepare their workforce for the unexpected with strategies that foster agility, resiliency, and flexibility. Recessions are not a matter of if but when. Strengthen your workforce today for any disruption — economic or otherwise — that may occur tomorrow.

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The Impact of Contingent Workforce Management Analytics

Today’s total talent management strategies rely on analytics to execute workforce objectives. For extended workers who comprise nearly half of enterprises’ entire labor force (49%, according to our research), analytics are even more crucial to developing metrics and optimizing performance. Recent Ardent Partners and Future of Work Exchange research indicates that 81% of organizations cite the improvement of contingent workforce management (CWM) analytics as a priority, highlighting the importance of deeper, more insightful data and analysis.

CWM Analytics for Insights

According to Beeline, a leading contingent workforce solution provider, “For many organizations lacking formal analytics and reporting on their contingent workforce, identifying key metrics can even be challenging.” The focus on analytics goes well beyond hiring, scheduling, and payment data, to include deeper areas of concentration. The following are several analytic subsets imperative to contingent workforce management and performance.

Spend Management

Enterprises can utilize CWM analytics to help track and manage their spend on contingent workers. This includes data on billing rates, contract terms, and other expenses related to the use of contingent labor. Utilize data visualization tools such as dashboards and reports to make it easy for stakeholders to access and understand spend data related to CWM.

Beeline states, “Understanding bill rates, pay rates, and the margins between them per vendor, can be an incredibly powerful negotiation tool. Armed with this data (and more), you can have productive, data-backed discussions with vendors, enabling you to clearly understand what rates vendors should offer to make themselves more attractive and competitive than others.”

Performance Metrics

Measure the performance of your contingent workers with metrics for time-to-fill, retention rates, and quality of work. The Future of Work Exchange regularly reports how enterprises are pivoting to skills-based hiring. As those approaches increase, performance metrics for extended labor will be paramount to total workforce strategies and planning initiatives.

Such data can identify where talent gaps exist as well as which extended workers possess the skills for more critical projects. Also, don’t overlook analytical tools such as artificial intelligence and machine learning to synthesize and identify patterns and insights.

Legal and Regulatory Compliance

A global contingent labor pool means greater attention to legal and regulatory compliance. Analytics can help organizations remain compliant by tracking data on worker classification, hours worked, changes to regional laws and regulations, and other compliance-related metrics. “You need to know, for compliance, payroll, and project planning purposes, exactly how many employees are engaged in your projects at any one time – so you can track the costs, project status, and progress compared with statements of work (SoWs),” adds Beeline.

Workforce Planning

The Future of Work is not only focused on workforce needs today but the requirements for tomorrow as well. By analyzing historical data on contingent labor usage, organizations can make informed decisions about when and where to engage extended workers long term. Historical data combined with predictive workforce analytics can provide a holistic picture of future needs. Continuously monitor the data and adjust your strategies as needed to optimize your CWM requirements.

Organizations must take control of their CWM analytics if they hope to optimize their use of contingent labor, minimize costs, and improve the performance of their workforce. It’s a combination of being cost-effective while enabling data-driven decision-making to reach performance targets. HR and business leaders will only rely more on big data and analytics to accomplish enterprise workforce objectives. CWM will be at the center of those insights and decisions.

read more

Key Providers for 2021: GRI

The Background:

The Managed Service Provider (MSP) model has long been a powerful solution in the workforce management industry, its longevity owed to decades of success in transforming how companies think about their talent, how they structure contingent workforce management (CWM) initiatives, and how they ultimately drive value from their extended workforce.

Today’s MSP offerings have evolved mightily in recent years to provide their clients with a slew of services designed to facilitate end-to-end management of SOW/services procurement, direct sourcing, payrolling, talent acquisition, and more. In fact, many leading MSP solutions are reimagining their services suites to reflect the dynamic changes occurring in the greater world of work and talent.

GRI is one of those solutions.

Why They Were Selected:

Many of the globe’s market-leading managed services offerings have a similar slew of products that are only slighted differentiated based on such attributes like service model delivery and sector-specific aspects. One key differentiator of those MSPs that stand out from the pack is the ability to provide its customers with not just traditional value, but true workforce and business agility through a focus on talent, technology, and transformative thinking.

Geometric Results, Inc. (GRI) has long been a household name in the MSP space, and for good reason: its Envision Analytics is a self-service portal that blends powerful business intelligence with real-time talent data. Predictive analytics, neural machine learning models, and hundreds of data sources position Envision Analytics as one of the contingent workforce industry’s deepest, most robust reporting-led offerings.

In addition, its “Managed Direct Sourcing” approach allows customers to build flexible direct sourcing programs and strategies that traverse beyond simple talent pools; GRI’s MDS product is one of the market’s most forward-thinking direct sourcing offerings and positions clients’ direct sourcing programs with a 360-degree brilliance of agility through a strong convergence of industry expertise, human-led processes, and Best-in-Class automation.

In Their Own Words:

GRI works exclusively for our customers and transcends the industry standards. The client comes first and our role as an exclusive advocate is absolute and unbiased.  We are the only MSP that is (1) singularly focused (2) vendor-neutral, (3) free of all channel conflict, and (4) not controlled by a staffing company.

GRI focuses solely on delivering innovative, Best-in-Class workforce solutions as an independent MSP provider. And in an industry that largely lacks transparency, and is steeped with channel-conflict, no other workforce solutions company can back up this claim!

We offer a direct sourcing solution that is native to our MSP. It creates meaningful cost savings and reduced time-to-fill beyond the typical program while improving worker quality. It works well because we are motivated and incentivized by its success; no other MSP can confidently stake that claim.    

We actually innovate — it’s not just an overused and largely misunderstood word at GRI. The ‘box’ doesn’t direct us, and therefore it’s much easier for us to think outside of it. And to think instead about technologies, talent acquisition models and processes as well as the collective ecosystem that will most benefit our clients.

The Outlook:

GRI is positioned as an MSP that will thrive in the years ahead due to its commitments to flexibility, innovation, and the Future of Work. Its unique Managed Direct Sourcing offering balances the necessary human elements with a deep technology stack and platform ecosystem, while its Envision Analytics tool is one of the industry’s finest talent intelligence solutions.

As the world of talent and work continues to evolve and adapt and require talent- and intelligence-led offerings, GRI will continue to establish itself as a preeminent source of workforce management innovation.

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