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Ventana Research defines a human resources management system (HRMS) as the set of applications and associated processes that store and manage the employee information used by an organization’s human resources department. New technologies make it possible for the HRMS to perform better and be easier to use by HR professionals and members of the workforce. The range of evolving technologies impacting the development of the HRMS includeVR_HRMS_BenchmarkResearch business analytics, big data, cloud computing, mobile technology, business collaboration, social media and wearable computing. These advances enable organizations to streamline the processes that the HRMS supports and more efficiently take advantage of competencies that already exist in the workforce. The changes are so substantive for organizations and their HR departments that we have undertaken new research called Next-Generation Human Resources Management Systems.

As well as becoming more efficient in their HR processes, employers want to ensure that their employees can interact easily with HR managers and feel satisfied with these relations. This is facilitated by using new methods such as collaboration through mobile devices. In addition companies today have to manage greater amounts of information than ever before related to benefits and policies and be able to provide specific, relevant information directly to employees at any time. Employers also have to comply with a range of employment rules and required benefits such as the Affordable Care Act for healthcare in the United States. In this context of information overload the HRMS should be able to use big data technologies to become a strategic tool that helps both HR and employees have complete and relevant information about employment.

The basic use of the HRMS is to hold essential information about an organization’s employees. Until recently HRMSs were stand-alone systems that maintained seldom-changing information and were used by only a few people in the HR department. The HRMS, and indeed the HR function in general, was seen as dedicated to keeping records, providing input for payroll, overseeing related compliance processes and managing benefits including healthcare, time off and others not related to compensation. Employees and managers had limited access to self-service capabilities, not to mention ready availability of it on a variety of devices.

This perception has begun to change in recent years. Other types of applications, such as talent management and workforce management, have been introduced into human resources processes, and HRMSs often must share information with them. Such systems potentially expand the kinds of information available to managers and those who work for them. In addition, innovative technologies including richer analytics have expanded the ways this wealth of information can be used and the array of roles – line-of-business managers, executives and even individual employees – that can benefit from using it. Business analytics can highlight the types and quality of talent a company possesses – and needs. Ubiquitous access to HR information through smartphones and tablets improves the reach and speed with which employees and managers access information and promotes sharing, communication and understanding. Embedded social collaboration tools connect employees more effectively and impact metrics such as employee engagement and time to productivity.

Thus the HRMS can play a strategic role in human capital management. HR professionals now can have applications and tools that support a range of workforce processes and also help the rest of the organization with their employment and business needs. A modern HRMS also can help engage and retain talent through advanced and more efficient HR practices. This new market research will explore both the evolution of human resources management systems and the roles of new technologies that being added to them. It will evaluate how organizations are integrating their HRMSs with new technologies and their impact on improving HR processes and increasing the value of HR to the organization.

Such changes in HRMSs and other human capital management systems are facilitating an evolution of HR processes. Key focus points of this research will be to examine the changing role of the HRMS in organizations, how new technologies such as business collaboration are being integrated into the HRMS and related applications HR personnel use, how VentanaResearchBenchmark_PayrollManagementthe applications are accessed through mobile devices and finally the perceived value these new technologies add to core HR applications such as the HRMS. The research will detail the specific ways in which the HRMS is evolving from a system that stores basic employee information to one that integrates benefits and payroll along with integration to talent management and workforce management information and applications to provide more useful information for HR and business leaders. Our latest benchmark research on payroll management already shows that more than half (53%) of organizations see employee self-service as important for accessing an individual’s payroll information. The new research will track as well the changing needs of HR for information related to benefits and pay and to compliance with regulations and policies.

The goal of this Next-Generation Human Resources Management benchmark research is to examine how organizations are evolving in using an HRMS and determine the drivers for and benefits of adapting a new technological approach. It will build upon recent benchmark research findings that show that talent management and workforce management systems are critical for organizations as adapt to a new generation of technologies for their workers and employees. This research also will seek to understand how the next-generation technologies listed above are changing the way organizations operate in human capital management processes and to identify the best practices used by innovative companies. It will examine whether and how organizations are choosing to embrace these new technologies in their HR functions. It also will assess how adopting an advanced approach to using an HRMS impacts an organization’s  people, processes, information and technology requirements as well as its productivity.

Come engage in our research and in return receive best practices and insights that can help your organization. Participate.


Mark Smith

CEO & Chief Research Officer

All lines of business are under pressure to meet targets and deliver expected results, but none is under more pressure than Sales. Like other organizations it must use information to derive insights about progress and problems and to decide what changes to make. Today businesses collect and analyze data from more data sources in more forms than ever before. To understand it they need effective analytics, and again none need it more than Sales.

Analytics applied to sales data can deliver significant value. VentanaResearch_NGSA_BenchmarkResearchIt can help sales organizations reach quotas, forecast more accurately and make better decisions about activities and strategy. However, selecting the right tools for analytics can be difficult. People charged with identifying those tools often don’t understand the specific needs of sales groups or the full scope of evaluation criteria required for successful deployment and use.

In the past, and often still today, many sales organizations did not invest directly in analytics, instead using desktop spreadsheets, cutting data and charts from applications and reports and pasting it into presentations. In addition organizations have tried to stretch applications designed for other purposes, such as sales force automation (SFA) and customer relationship management (CRM), to provide reports on accounts and opportunities, but these systems address only some sales activities and lack complete information about customers. They need more purpose-built tools to examine sales performance in core processes such as the sales pipeline, forecasts, configuration pricing and quoting, proposals, quotas, compensation and incentives, and coaching of personnel. Used properly analytics can provide insights on all of these. But to select tools that cover all these areas, prospective users of sales analytics must be able to understand the available options and identify the capabilities that will serve them best. Should they be simple or complex? One-time or continuously used? Historical or forward-looking? In addition the tools should be easy to use and able to make data readily available. Several of our benchmark research studies demonstrate the need for effective analytics in this critical business area of sales.

The expanding use of sales analytics stems from increased attention to performance across sales processes (particularly because of the importance of sales in revenue and financial planning to meet customer demand with products and services). In sales planning, the need for quick analysis and review of actuals vs. plan is the management capability most often important (for 73%) for organizations participating in our next-generation business planning benchmark research. Many sales initiatives have failed to live up to their potential because companies did not use the right analytics tools and approaches to plan and operate them. For example, measuring the wrong things, measuring the right things the wrong way or using only partial data to measure will have negative (and often unintended) consequences. That’s because sales decisions almost always must be made in a constrained environment, in which virtually every important decision requires trade-offs (such as price against volume). To be useful, analytics must recognize trade-offs and provide guidance to help decision-makers choose those that are aligned not only with the company’s overall objectives but also with its customer, financial and sales profitability goals. Sales analytics also can support new approaches such as sales contests and gamification that motivate employees to perform better.

Analytics also is a key tool for devising, tracking and revising measures and metrics for sales processes that enable managers to make better-informed decisions faster and more consistently. Sales operations managers and executives need advice on selecting the analytics most useful for them and choosing sales metrics and performance indicators. This applies to the various kinds of analytics that sales organizations need. For example, our research finds that analytics is a priority for sales compensation management, where it is the top technology trend in 84 percent of organizations, and for sales forecasting (in 79% of organizations).

At this level of complexity sales organizations cannot continue to make do with outmoded tools. While spreadsheets are comfortable and familiar, when used for collaborative enterprise tasks they fall short in many areas such as lacking control of calculations and introducing inconsistent or erroneous data. Our research in sales compensation management finds that those that use them universally for this purpose are not satisfied with their analytics tools more often (in more than two-thirds of organizations) than those that use more capable tools.

A new generation of technologies offers more powerful and flexible sales analytics. Big data systems for processing and storing data have evolved quickly, making it possible for sales organizations to extract insights from masses of data for practical purposes. For example, visual discovery can present data in quickly graspable forms, and simplifying the presentation of key sales indicators and metrics in dashboards can put necessary information at the fingertips of nontechnical executives and managers. Advances in mobile technology enable access to analytics from smartphones and tablets, helping users on the go decide what to do next. Making sales applications and data available through cloud computing also facilitates access to and use of sales analytics. In addition collaboration enables sales teams to communicate and coordinate operations and managers and sales reps to plan more effectively. And predictive analytics enables users to look forward to anticipate trends and plan ahead rather than merely react.

Analyzing these advances and their impacts on sales organizations now and in the near future, we have released new benchmark research on the next generation of sales analytics. It examines the use of and intentions for analytics and metrics involved in sales-related activities. It uses the Ventana Research Performance Index Model® to assess the productivity and performance of organizations by size and industry. A major aim of this research is to provide understanding of the need for and potential of advanced tools to help set a business case for investing in sales analytics. It assesses the impacts of these next-generation technologies in facilitating faster, easier and broader use of sales analytics. It follows up on previous research that shows that inconsistent execution and scattered information continue to motivate investment in about half of sales organizations and explores how advanced analytics can help remedy these issues.

Our mission in this new research is to uncover the best vr_SF12_07_impediments_in_sales_motivate_investmentpractices companies use in measuring the performance of sales-related activities, the challenges they face and how they intend to improve their situations in the coming years. Sales analytics is a required component for any successful use of SFA to applications and activities individually or as part of sales performance management. It examines in detail issues in collecting data from a diverse set of sources that are critical for creating and maintaining useful sales metrics and indicators. It explores how data sources are reconciled through data preparation and then analyzed to produce the information sales people require to support decisions that impact their bottom line, market share and other aspects of their strategic objectives. Increasing the accuracy, confidence and timeliness of sales analytics is critical to every activity in sales, and those without a dedicated approach designed to assist sales will find themselves at a disadvantage. Sales analytics is a key resource for sales organizations facing today’s unprecedented challenges, as I recently outlined in our Sales Research Agenda for 2015. If you are responsible for sales activities or systems and want to see where the present and the future lie, please consult our research on the next generation of sales analytics.



CEO and Chief Research Officer

Mark Smith – Twitter

Ventana Research

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