Anyone who works in people management knows that for a long time, the Human Resources sector had to rely on “gut feeling” or the famous “eyeball test” to make decisions. Thus, if an employee seemed unmotivated or if a hiring process seemed promising, leadership acted based on intuition. But the market has changed, the volume of information has exploded, and fortunately, talent management has leveled up: the era of guesswork is a thing of the past.
And the great revolution behind this change goes by the name of People Analytics. Want to understand how this methodology can revolutionize your business's efficiency and put your company ahead of the competition? Keep reading and discover the advantages of looking at your people through data with Actio!
What is People Analytics?
In simple terms, People Analytics is the methodology that combines statistics and technology with HR to decipher large volumes of data about employees and the business. Thus, instead of looking at employees in isolation, this process collects, cross-references, and organizes behavioral data to identify trends and elevate people management’s maturity levels..
Imagine being able to map your team's behavior patterns and discover the exact cause that makes the turnover to a specific department. With People Analytics, this is possible. After all, the methodology allows for the cross-referencing of internal performance data, history of feedback and organizational climate with market indicators and corporate digital presence of professionals, generating a complete X-ray of the workforce.
In other words, far beyond just generating reports about the past, People Analytics has predictive power. It analyzes current productivity to map out the future: helping the company understand what type of professional it needs to recruit, which talents are at risk of leaving for the competition, and which actions will yield the best return.
Why develop a People Analytics area in a company?
No matter what your business's main challenge is today, People Analytics is the path to achieving those goals. Thus, by structuring this area, the company replaces guesswork with a transparent environment focused on objective data.
However, contrary to what some may fear, the objective here is never to watch or monitor the employee's every move. On the contrary: the goal is to use data science to understand the professional in their entirety, discovering their expectations, aspirations, and strengths to perfectly integrate them into the business's growth strategy.
In practice, structuring a dedicated area for this methodology allows the organization to achieve the following objectives:
- Surgical decisions in hiring: Identify the patterns of the company's most successful professionals to calibrate recruitment, bringing in profiles that perform better and have a greater cultural fit.;
- Strategic reduction of turnover: cross-reference weather, leadership, and performance data to predict team dissatisfaction, enabling preventive actions before employees resign;
- Transparent communication between teams and the board of directors: create bridges of dialogue based on facts and figures, aligning employee expectations with real goals;
- Human Capital Optimization discover the latent skills of each employee and assign them to projects and roles where they will bring the greatest financial and operational return to the business.
Tips for creating a People Analytics area in your company:
Getting People Analytics up and running doesn't require a complex overnight technological overhaul, but rather the establishment of intelligent and structured processes. And to move from theory to practice and create a truly data-driven culture in people management, follow these essential guidelines:
- Invest in qualified professionals: Assemble a multidisciplinary team, uniting the sensitivity of HR with the precision of data analysts focused on business needs.;
- Do a strategic planning: Define which company pains data needs to solve in the medium and long term. Having clear goals avoids wasting time on useless reports.;
- Map data securely: Prioritize ethical, secure, and transparent data collection, ensuring the integrity of each record and respecting employee privacy.;
- Integrate internal and external information: use technology to cross-reference data from different sources, going beyond HR systems to assess performance, climate, and market indicators;
- Perform a rigorous check of the information: Ensure that the data capture is reliable. Duplicate or outdated data leads to wrong diagnoses and compromised decisions;
- Focus on actions, not just discoveries: The real value of the methodology lies in the agility to transform charts and reports into practical actions that change the company's results.
How to implement People Analytics?
The transition to a data-driven culturedata-driven) scares many leaders, as it gives the false impression that the company will need to undergo a complex or very expensive technological restructuring overnight. But, in reality, implementing People Analytics is much more about a change in mindset and processes than in budget. After all, the big secret is not the amount of data you accumulate, but rather the quality of the questions you ask it.
Want to take People Analytics from a conceptual field to a living tool in your company? The journey should follow these five basic steps:
Identify the business pain points
The starting point of People Analytics is to discover which bottlenecks you want to resolve. And don't forget a fundamental detail: the focus should be on problems for business, and not just bureaucratic HR demands.
Remember: the chosen goals need to be directly connected to the main KPIs, revenue, and company productivity.
Prioritize and rank the problems
With the challenges listed, organize them by order of impact and complexity. The key is to first focus on those pain points that cause the greatest financial or operational damage and, at the same time, have the most viable solutions.
This hierarchy brings clarity and prevents the team from losing focus by trying to solve everything at once.
3. Collect strategically relevant data
Focus only on information that generates real value for the analysis, avoiding wasted time. To do this, use the resources your HR department already has, such as historical goals, performance reviews, Climate surveys and absenteeism rates.
So, if there are gaps, supplement the database with new questionnaires and specific reports.
4. Analyze the data for Insights
This is the stage where raw numbers are transformed into market intelligence. And although it involves statistical concepts, you don't need to freeze company processes: today there are software programs that cross-reference these variables through intuitive interfaces, automatically revealing hidden behavioral patterns and trends.
5. Design and execute the action plan
A good analysis is useless without execution. Therefore, use the obtained diagnostics to create practical projects.
If the data shows, for example, that turnover in a sector is due to leadership profile, then the action plan must focus on specific management training to shield the team, retain talent, and protect results.
The relationship between People Analytics and Big Data in HR
When we talk about the accumulation of a massive amount of data, we enter the concept of Big Data. And, concisely, it functions as a large reservoir that collects and stores gigantic volumes of structured or unstructured information, coming from the most diverse sources. However, loose and fragmented data does not generate value and can slow down company processes.
This is exactly where People Analytics comes in. It acts by capturing this raw, unprocessed material. Big Data to cross-reference, contextualize, and transform into organized and useful intelligence for people management.
However, for this mechanism to work efficiently, data quality is much more important than quantity. After all, feeding the system with inaccurate information compromises leadership diagnostics. The more qualified and reliable the starting data, the more accurate HR's predictive analyses will be to help the organization meet its goals!
Conclusion
As we've seen, People Analytics has consolidated itself as the strategic engine of modern people management. And in a market where information is the most valuable asset, basing decisions on robust data is the differentiator that separates stagnant companies from those that achieve high performance.
Therefore, if your goal is to get People Analytics off the ground and transform your organization's talent management, you can count on Actio. Access the site right now and discover how to boost your business's results through data!
Frequently Asked Questions About People Analytics
Check out some of the most common questions on the topic below:
Although large corporations generate a larger volume of data, the methodology can, and should, be applied in small and medium-sized enterprises (SMEs).
The secret to smaller businesses is to focus on the quality and relevance of information (such as absenteeism rates, productivity, and performance reviews) rather than the quantity of data.
Compliance with the LGPD (General Data Protection Law) is essential. The company must map and collect data for legitimate, transparent purposes, which must be previously communicated to employees.
In addition, it is crucial to ensure the security of storing this information and, whenever possible, use anonymized data for general reports and behavioral statistics.
The ideal metrics vary according to each business's specific pain points. However, the most common include indicators such as rate of turnover (turnover), cost and average time to hire, absenteeism rate, e-NPS, and return on investment in training.
