15 Jun “In Data We Trust” at the Workforce Analytics Summit in NYC
“In Data We Trust: Improving Data Quality To Add Credibility To People Analytics”. That was the topic of the presentation which I gave at the Workforce Analytics Summit sponsored by IBM in New York City in June 2015.
Data quality was an important topic at the conference because it represents the very foundation for the analysis of data. While concerns about the completeness and precision of available data should not hold companies back from launching their people analytics initiatives, a continuous and systematic improvement of data quality is essential for building trust in the insights derived from organizational information. My aim was to raise awareness for data quality as a prerequisite for any analytical endeavor in general and workforce analytics in particular.
Further speaking engagements:
- 10/11 Jun 2015: Workforce Analytics Summit in New York City (sponsored by IBM and organized by Stamford Global) about “In Data We Trust: Improving Data Quality To Add Credibility To People Analytics”
- 12 July 2015: Workforce Analytics Webinar (organized by Fleming) about “In Data We Trust: Improving Data Quality To Add Credibility To People Analytics”
- 13/14 Oct 2015: Workforce Analytics Summit in London (organized by Stamford Global) about “In Data We Trust: Improving Data Quality To Add Credibility To People Analytics”
Adopting and mastering workforce analytics to improve business performance.With more companies seeking to improve their organizational effectiveness through smarter workforce planning, the development of HR analytical capabilities has gained prominence within the organizational business strategy. By deriving data insights and using the subsequent knowledge to transform HR practices, early adopters of contemporary workforce analytics have been able to optimize their human capital investment and lay a solid foundation for sustainable business growth.The 2015 Workforce Analytics Summit brings together in New York City HR analytics experts, business leaders and sponsoring strategists with intelligence initiatives to address practical challenges on the development of a credible high-impact analytics functionality.