An innovative EDI data, insights & peer benchmarking platform enabling global business leaders to build data-led EDI strategies, plans and budgets.

Diversity Economics（DE）是一家总部位于英国的EDI数据技术中小型企业，其核心项目团队包括Af Malhotra（首席执行官，研究/产品/财务负责人）、Denise威廉姆斯（项目负责人）、Rajan Shegunshi（技术负责人，CTO）、Ashlyn Sehgal（数据科学和EDI研究分析师）和Minal Patel（研究和数据）。只有12%的人力资源和EDI领导者做出基于证据的决策，而跨职能领导者的这一比例为70%。这是近一半的全球公司在EDI上失败的关键原因。与此相比，少数领先于EDI的公司-研究表明，这些公司在财务回报、创新、员工满意度、客户保留、生产力和其他领域也优于同行。如果不采取任何措施来吸引和留住多样化的人才，英国企业每年可能损失约1750亿英镑。为了使英国和全球商业领袖能够进行EDI决策，DE正在开发一个动态EDI数据、洞察力、同行基准和公司评分平台（DEIP），使商业领袖能够做出明智的、以数据为导向的EDI决策。我们正在构建有史以来第一个EDI大型语言模型（LLM）。DEIP利用人工智能来增强研究过程，揭示驱动EDI结果的关键相关性和因果关系变量，并将研究人员的生产力提高5倍，成本/流程效率提高80%。EDI和人力资源领导者将能够凭借这些洞察力快速抢占先机并适应市场动态，以及识别最佳实践、有效分配预算和跟踪关键绩效指标。

Diversity Economics (DE) is a UK-based EDI data tech SME with a core project team of Af Malhotra (CEO, Research/Product/Finance Lead), Denise Williams (Project Lead), Rajan Shegunshi (Technical Lead, CTO) Ashlyn Sehgal (Data Science and EDI Research Analyst), and Minal Patel (Research and Data).Business leaders have difficulty incorporating equity, diversity, and inclusion (EDI) data into their decision-making. To put this in context, only 12% of HR and EDI leaders make evidence-based decisions, compared to 70% of cross-functional leaders. This is a key reason why nearly half of global companies are failing on EDI. Contrast this with the handful of companies that are leading on EDI---research shows these companies also outperform their peers on financial returns, innovation, employee satisfaction, customer retention, productivity, and other areas. If nothing is done to attract and retain diverse talent, UK businesses could lose out on an estimated £175B/year.To empower UK and global business leaders in their EDI decision-making, DE is developing a dynamic EDI data, insights, peer benchmarking and company scoring platform (DEIP) that enables business leaders to make informed, data-led EDI decisions. We are building the first-ever EDI Large Language Model (LLM).DEIP utilises AI to supercharge the research process, uncovering key correlation and causation variables that drive EDI outcomes, and delivering 5X in researcher productivity and 80% cost/process efficiency. EDI and HR leaders will be able to quickly pre-empt and adapt to market dynamics because of these insights, as well as identify best practices, effectively allocate budgets, and track key performance indicators.