TL;DR:
- BairesDev’s machine learning tool reduces turnover by 52% in H1 2023 compared to H1 2022.
- Tech industry turnover rate drops to 12%, 40% below industry averages.
- CEO Nacho de Marco emphasizes proactive talent development and high engagement.
- The tool analyzes career paths, compensation, and client feedback to identify at-risk talent.
- BairesDev ranks in the Top 5% for Overall Company Culture Score.
- The company’s commitment to innovation and top talent continues to drive impactful software solutions.
Main AI News:
In the ever-evolving landscape of tech talent acquisition and retention, BairesDev, a prominent nearshore software outsourcing company, has emerged as a pioneer with its latest innovation. The company’s groundbreaking machine learning tool has proven to be a game-changer in the quest to retain top professionals while reducing attrition rates by a remarkable 52% during H1 2023, compared to the same period in the previous year.
The software development industry has long grappled with a high turnover rate, nearly reaching a staggering 60%. Tech firms, in many cases, have found themselves reacting to talent departures rather than proactively addressing the underlying issues. However, BairesDev’s new machine-learning algorithm is poised to disrupt this trend, boasting a remarkable 12% turnover rate, a staggering 40% below industry averages.
Nacho de Marco, the CEO and co-founder of BairesDev, underscores the company’s commitment to creating an ecosystem that nurtures professional growth and continuous improvement. “Our machine learning tool enables us to foster open and impactful interactions between our teams, taking a proactive approach to talent development,” states de Marco. “Our talent sets us apart. Despite a volatile talent market, we proactively re-engaged 90% of the cases detected by the tool. With 97% of BairesDev’s talent scoring their work environment as positive, project productivity and client satisfaction keep improving.“
The heart of this revolutionary machine-learning tool lies in its ability to analyze talent-related variables such as career trajectory, compensation, and client feedback. Once at-risk talent is identified, the dedicated people experience team initiates crucial conversations, paving the way for meaningful engagement and tailored solutions aimed at enhancing talent satisfaction. BairesDev’s unwavering commitment to its workforce is further underscored by its recent recognition, ranking in the top 5% of companies with 1,000-5,000 employees on Comparably for Overall Company Culture Score.
BairesDev has long been known for its ability to attract the top 1% of talent from a pool of over one million yearly applications. The company’s dedication to innovation, coupled with its utilization of cutting-edge technology, continues to drive the creation of impactful software solutions.
Conclusion:
BairesDev’s innovative machine learning tool has not only significantly reduced attrition rates within the organization but also raised the bar for talent retention in the tech industry. By proactively addressing the needs and concerns of its workforce, BairesDev sets a compelling example for other firms, signaling a shift towards a more employee-centric approach in the market. This transformation will likely lead to improved talent stability and enhanced competitiveness within the technology sector.