The people analytics is growing — globally and in the ways businesses are using it. Changing employee demographics, the rise of team-based organizational models, the globalization of the workforce, and the increasing influence of technology are all driving companies to leverage people analytics to better understand employee data and its impact on business performance.
From the United States to Europe to the Pacific Rim, the percentage of enterprise-level companies saying people analytics is very important or important is universally growing, according to Deloitte’s “Human Capital Trends” (the highest percentage comes from fast-growing economies). The areas of people analytics range from talent acquisition in identifying the right talent to minimizing bias in hiring, retaining employees, and increasing employee engagement, as well as measuring culture, workforce readiness, employee experience, and more.
Of course, the genesis of data-driven insights for HR started more than 20 year ago. Jac Fitz-Enz, a pioneer in HR benchmarking, laid out the ability and potential of HR to quantify and accurately measure productivity in its major functional areas in his 1984 classic of HR writing, “How to Measure Human Resources Management.” But the curve has accelerated very recently with technological advancements, cloud-based HR systems, advanced analytics, AI, chatbots, VR, AR, gamification, automation, blockchain, and more.
The result: a transformation in the way HR works by using people analytics to evolve from being transactional and reactive to strategic and proactive, and having an ever-greater impact on their organizations.
For companies that “compete in a people-intensive business and are seeking to hire, retain, and promote the best people in the industry … analytics can be the key,” wrote Tom Davenport and Jeanne Harris in their book Competing on Analytics. But even more broadly, the authors make this point:
“Organizations competing to identify, retain, and nurture the right talent are looking for distinctive business processes as a point of differentiation. This has shifted the spotlight to talent management and on HR analytics.”
So what, exactly, is HR analytics? We like this succinct definition by Baskaran Ambalavanan, a writer and technology consultant specializing in the HR sector: “HR analytics is the process of analyzing the available people-related data to measure the effectiveness of the HR programs and identify patterns in order to make meaningful business decisions.”
But it’s all possible only with the right technology and consultative support. It’s the kind of technology and services like those offered by Optis Insights employee and HR data-management software. Optis Insights mitigates risk and gives HR leaders greater insight into the data from all of their data systems. It removes the uncertainty and drastically cuts the time for getting high-quality, centralized data and total transparency into people data from any source or HR data system.
The upshot: data-driven intelligence tailored to an organization’s needs.
What are your organization’s needs? Equally important: How do those needs align with your readiness and ability to apply people data and business analytics? Gartner’s Business Analytics Maturity Model offers one of the most common methods for identifying where you’re at in using data analytics:
Stage 1: Descriptive Analytics — the foundation of business intelligence, primarily focused on what has happened (e.g., employee turnover, new-hire reports, time to hire)
Stage 2: Diagnostic Analytics — focuses on why something happened, taking a deep dive into data to understand the causes of events and behaviors (e.g., the reasons behind employee turnover)
Stage 3: Predictive Analytics — the basis of the big data, future-focused analyses that predict future patterns based on historical data (e.g., identifying flight-risk employees to help reduce employee turnover and improve the bottom line)
Stage 4: Prescriptive Analytics — the future of big data, using machine learning and artificial intelligence to understand future impact and determine the best outcomes
Optis Insights supports organizations regardless of the level of maturity of your people analytics.
With configurable data capturing and an intuitive interface, Optis data warehousing services for HR and people data can yield a clearer picture of your people data in real time. We currently store more than 650 million records of people data, helping companies integrate all of their workforce and human resources data.
Reporting and Intelligence
Optis HR reporting and intelligence delivers a combination of standard and custom reporting to give you the information you need, when you need it. We currently generate more than 5,000 reports monthly.
Optis HR analytics help companies, including FedEx and Chevron, look deep into their people data to analyze absence trends, high-risk populations, healthcare cost drivers, and other employee benefits claims.
Data Conversion Services
Optis has more than 17 years of experience with big data, delivering accurate people data conversions in a fraction of the time companies could complete the work in-house.
Imagine having more efficient, secure, and effective control over how your organization acquires, integrates, manages, retains, and disposes of all of its disparate people data. The result would be high-quality, centralized data from any source or system, with total transparency into that data.
For more information, download our e-book “Turn Your Tsunami of People Data Into a Steady Stream of Data-driven Business Intelligence.”