ScaleWise Data Intelligence
Do industry data providers effectively deliver comprehensive talent data and showcase its benefits?
Do standard knowledge levels remain consistent?
Advanced markets hold a slight advantage, having spent several years developing products using a specific tech stack. When attempting to reduce costs by relocating the workforce to another market, it's likely necessary to adjust the strategy, as there may not be direct competitors. Additionally, senior professionals are essential due to slower development cycles and the presence of similar companies in that region.
What are the specifics of employment law and contractual obligations?
In the talent mapping process, who furnishes the responses and through what means?
While 90% of the market focuses only on basic salary data and simplistic people metrics, talent strategy professionals dive deeper, defining candidate personas, candidate experience, and the selection process. While these elements are important, there is an entire layer of selective data beyond them that truly reveals the essence of a comprehensive talent strategy.
What are the standard benchmarks for compensation, benefits, and incentives?
Capitalistic countries tend to emphasize money-driven incentives and benefits, though the landscape is shifting as metrics reveal that over 60% of the workforce is frequently considering a job change. Meanwhile, some regions are not yet aware of certain progressive ideas and may not realize these practices are feasible. There’s untapped potential to think beyond existing patterns and create offerings that genuinely respond to people’s evolving needs.
What constitutes the prevailing tech stack in use?
How do you adopt emerging technologies when everyone is just starting out and there are no experts or established businesses yet? How can you be sure that the regions initially chosen for their strategic advantages are the right ones to scale your business or further develop? Which markets are considered hotspots for talent and specific technologies? Where can you find the answers to these questions when it seems like no one is addressing them properly?
Is there uniformity in the quality of services, or do variations exist, and if so, to what extent?
Digitalization, communication quality, transparency, easy access, choice options, a methodical approach, and thoroughness are all key elements considered when defining service standards in specific regions. If you’re unwilling to compromise on any of these aspects or seek improvement, having data to fully understand these factors can help.
Risks and Challenges of Using Publicly Available Data
An expert article authored by the legal representatives of Trusted Advisor
How and where can we track and understand the progress of AI advancements?
When we set aside marketing, hype, public opinion initiatives, and lobbying, what remains in the realm of (Generative) AI? We would need more precise data to support fact-based, informed decision-making related to changes in professions, both emerging and existing ones, the reduction of human labor due to AI, and other relevant issues in this aspect.
