People Analytics Guide Return-to-Work Choices
With many workplaces beginning to return to work, many leaders are using analytic tools to make decisions regarding staff easier. Read this blog post to learn more.
Human resources leaders are turning to people analytics tools to help make difficult decisions as their staffs return to the workplace and face a damaged economy. Whether it's figuring out how to keep workers safe, making decisions on furloughs and layoffs, or ensuring the right number of employees are in the right roles, these technologies collect, blend and analyze people data to guide HR leaders in their "what if" scenario planning.
Research shows the use of people analytics software was on the rise even before the coronavirus crisis hit. Now experts say many HR leaders are doubling down on the use of those tools.
Platforms Integrate Data
People analytics platforms fall into a number of categories. One group can help users integrate and analyze the diverse data sets related to COVID-19 and the composition of their workforces. They help answer questions like which people in key roles can go back to the workplace and which should continue working remotely; assist in developing first- and second-level succession plans in case workers get sick or need to step away to assist family members; and help align workforce planning with shifting business strategy and uncertain revenue forecasts.
AON is one vendor with an analytics tool that helps HR leaders think through workforce costs amid COVID-19. The London-based company's Talent Modeler platform can help determine the impact of shift reductions or help leaders choose from a range of options such as furloughs, attrition, pay cuts or layoffs.
Experts say sophisticated people analytics also can help leaders evaluate alternatives to layoffs, such as hiring or promotion freezes, shortened work schedules, or reducing costs like real estate expenses.
Nicholas Garbis, vice president of people analytics strategy for One Model, a people analytics provider with offices in Austin, Texas, has seen an evolution among HR leaders he's spoken to throughout the COVID-19 outbreak. As organizations begin their return-to-work planning—which largely entails addressing employee fear of COVID-19 infection as well as monitoring the reopening of child care centers—more are now planning for the "what if" scenarios that will arise this summer, he said.
This coming phase requires HR leaders to have better data and insight into the state of their current workforce and how it may need to change in the short term. "You need to be able to accurately assess your capacity, starting with the kind of workforce gaps that may have emerged from early March to now," Garbis said. "What talent have you lost, for example, to furloughs, layoffs or health issues?"
One Model's analytics platform collects and blends diverse forms of people data into a unified model to help surface these kinds of insights. HR should examine the state of "talent segments" in the organization as well as gauge potential coronavirus risks, Garbis said, then create a short-term strategic plan to define future workforce needs.
"HR business partners should be consulting with business leaders right now to say, 'This is the mix of people and roles you have now. What might you need your workforce to look like in six to 12 months?' " he said. "You want to ensure you're growing where you're supposed to grow and shrinking where you want to shrink."
People analytics also can help redeploy employees to areas experiencing increased demand. Ian Cook, vice president of people solutions for Vancouver, British Columbia, Canada-based Visier, said a financial services company he knows was considering furloughing employees in one area of its business until it experienced a spike in another area—life insurance sales. "That allowed them to move some front-line customer service people over to selling life insurance policies," Cook said.
In another case a regional bank used analytics to decide to move a call center to shift work and parallel work teams with physical distancing, said Bhushan Sethi, joint global leader, people and organization for PwC, a research and consulting firm in New York City.
"The goal was to help manage call center capacity and infection risk," Sethi said. "Almost 50 percent of CFOs in a recent PwC survey said they would have to implement some form of shift work when they bring people back to the workplace."
Employee Coaching Analytics
Employee coaching tools can give managers and employees feedback on how their communication or management styles have changed as a result of remote working arrangements. One vendor in the space is Cultivate, which creates reports that give employees a summary of their digital behaviors at home.
"These analytics could show managers, for example, how responsive they've been to certain employees in the work-from-home setting or how much overall time they've spent with certain workers," said Stacia Garr, co-founder and principal analyst of RedThread Research, a human capital research and advisory firm in Woodside, Calif.
Measuring Inclusion During Remote Work
This category of analytics can help HR understand how remote work is impacting leadership development, performance-based promotions or the inclusion of diverse employee populations. Some experts believe, for example, that a remote working environment can make it easier for implicit or unconscious bias to take root.
"We know that people's networks have contracted as a result of remote work, and there also can be less insight into employee performance," Garr said. "When we aren't seeing each other in person as often and aren't as aware of what others are doing or thinking, it can open the door to unconscious bias and stereotyping."
Organizational network analysis technology can track employees' connections to give HR a better understanding of how remote workers are interacting during COVID-19, Garr said. "The tools can give you an indication of who is being included in conversations, who is on e-mail threads and who is being invited to meetings. It can help you see if people across the organization are being included on an equal basis." Some of these vendors include TrustSphere, Polinode, Innovisor and OrgAnalytix.
Employee Surveying and Sentiment Analysis
Many companies are deploying employee listening tools to stay abreast of how workers are feeling at home and to gauge their sentiment on returning to the workplace. Platforms like Qualtrics, Yva, Perceptyx and Limeade offer such survey tools, some of which include artificial intelligence capabilities to make it easier to compile and analyze survey results.
"Organizations are using these surveys to measure employee feelings about a return to the workplace, with the understanding that not everyone is of the same mind about that return," Garr said. Such surveys sometimes ask employees to register their preferences for a return to the workplace. Might they want to work certain shifts or travel into the office on certain days, for example, and work other days at home?
COVID-Specific Employee Health and Safety Tracking
Some people analytics have adapted to allow HR leaders to merge publicly available COVID-19 data with their internal people data to assist in workforce planning. Visier integrates COVID-19 data sources and automated analysis to help users make more-informed decisions related to staffing.
Visier's database allows leaders to see which of their employees are in areas most impacted by the coronavirus and helps to manage business continuity challenges.
"We've layered the latest COVID-19 case data into the application so business users can see by geography how deeply the virus has gone into their populations and can view projections from the University of Washington model about peaks and changes in various states," said Visier's Cook.
SOURCE: Zielinski, D. (22 May 2020) "People Analytics Guide Return-to-Work Choices" (Web Blog Post). Retrieved https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/people-analytics-guide-return-to-work-choices-coronavirus.aspx
Organizations Will Need Data Analytics to Survive
Did you know: the use of data analytics can improve a company's overall performance. Data analytics can differentiate those companies that are going to be disrupted. Implementing technology is simple, but it is HR's responsibility for managing the technological change. Read this blog post to learn more about why data analytics is becoming a need for organizations.
SEATTLE—HR professionals play a critical role in getting their organizations to use data and analytics strategically to compete more effectively.
Jack Phillips, CEO and co-founder of the Portland, Ore.-based International Institute for Analytics, a research and benchmarking services firm for the analytics industry, urged attendees at the Society for Human Resource Management People Analytics conference on Jan. 14 to get focused on data.
"It's proven that the use of data analytics improves overall company performance," he said. "Organizations invest in many things, but budget dedicated to data and analytics is limited. It needs to be a top priority. The broad use of data and analytics will differentiate the companies [from those] that eventually are disrupted and disappear from the survivors."
And HR is key to the success of winning with data, from sourcing the necessary talent and applying analytics to HR functions to leading change management when adopting a data-driven mindset across the organization.
Implementing the technology is the easy part, Phillips said. Getting your workforce to truly adopt data analytics across the organization is harder. Ultimately HR is responsible for managing that transformational change.
Data Analytics Overview
The data analytics market is in full growth mode, accelerated by the explosion of cloud computing. The technology environment is moving so quickly that it is very hard to keep track of the increasing array and complexity of analytics technology available, Phillips said. But the top-performing companies are investing heavily in data analytics.
"If you are not paying attention through expenditure and [acquisition of] talent you will be behind," he said.
Phillips outlined a maturity model showing the sophistication levels of an organization's approach to analytics. Employers aiming to improve their data analytics function first need to assess where they currently are. Phillips' model includes those at the bottom stages who don't use any data to make business decisions and companies where data analytics may exist in silos without a structure for collaborating across business units.
Most employers likely exist in one of these stages, while many enterprise-level organizations are in the higher aspirational stages where the value of analytics is expressed, or they are data-oriented and use analytics with some internal coordination.
"Only one company we've studied [Amazon] has achieved near perfection as a data-driven company," Phillips said. "You don't come to a meeting without data [at Amazon]. No gut-based decision-making is allowed. Everything is driven by data."
Succeeding with Data
According to Phillips, the key ingredients needed to achieve higher levels of maturity as a data-driven organization include:
- People with data analytics skills.
- Organizational structure, processes and technologies in place for those people.
- Use of the data. "The highest performing companies have superior capabilities on the supply side and business leaders who use the insights that the data analytics teams are providing to drive the business forward," he said.
Another model he presented breaks down the elements that must be in alignment for companies to succeed with their analytics initiatives. "Without alignment, organizations run the risk of poor or limited results," he said. "To make real progress and become a data-driven organization, the capabilities and assets of these five elements must evolve and mature." The five elements are:
Data. It may seem obvious, but to provide meaningful analytics, data must be high quality, organized, reliable, integrated, and accessible. The raw material must be right.
Coordination. Companies must advocate a single and consistent perspective for analytics across the organization.
Leadership. Senior leadership should fully embrace analytics and lead company culture toward data-driven decision-making.
Targets. The organization should prioritize business targets against which it will apply its analytics. "Data and analytics without a targeted reason for it is worthless," he said.
Talent. Organizations require analytical talent that covers a range of skills from accomplished data scientists to rank-and-file employees who embrace being more analytical in how they do their job.
Employers must also understand rapidly emerging analytical techniques and technologies, Phillips said. The widespread adoption of open source tools has resulted in an explosion of analytical methods and techniques, and with the advent of big data, machine learning and cloud computing, creating an effective technology strategy for analytics is a critical ingredient for success.
HR's Role
Human resource professionals play an important part in getting their organizations up to speed and competitive with analytics, including sourcing the right qualified talent—a difficult task in a labor market lacking the requisite skills—and investing in data analytics for its own functions.
"HR lags behind other business functions when it comes to using data analytics," Phillips said. "Sales, marketing and finance tend to outpace other parts of the business."
HR should be assertive with leadership when advising on budget and staffing for data analytics positions and in creating and managing a workplace culture that values innovation.
"The top performing companies treat their data analytics function as a product, with design thinking and intentional product management," Phillips said.
One positive for employers who may be overwhelmed by implementing a data analytics function is that best practices are easily transferable. "There are many things that you can just copy," he said.
SOURCE: Maurer, R. (15 January 2020) "Organizations Will Need Data Analytics to Survive" (Web Blog Post). Retrieved from https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/organizations-will-need-data-analytics-to-survive.aspx