People Intelligence: An Evolution in Business Intelligence Part 1

September 15, 2021
People Intelligence
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Introduction

Organizations invest a significant amount of time and money each year on Business Intelligence (BI) platforms in an effort to improve strategic decision-making and achieve their long-term goals. It has been estimated that 55% of large organizations have spent 50 million or more on BI tools[i], while 65% of small businesses have spent over ten thousand on BI platforms and another ten thousand or more each year to maintain them[ii].

These BI tools are used to extract meaningful insights and develop forecasts from an organization's data. However, these forecasts are often far from perfect. Why is this?

Organizations are fundamentally a group of people – an organized group of people – along with a collection of resources and assets(e.g., technology, buildings, branding, intellectual property). While an organization's assets and resources are certainly vital to the success of an organization, it has been said that "the people make the place" [iii], that "employees are an organization's greatest asset" [iv], and also that "every company's greatest assets are its customers, because without customers there is no company" [v].

These kinds of sayings are so common that they have become a cliché. However, you would be hard-pressed to find a business executive that did not agree with these statements. This is exactly why they are so commonplace.

Surely, then, to gain better knowledge of an organization and to effectively predict and influence its future outcomes – the very purpose of BI – one must have a richer knowledge of the employees and customers of the organization. Or, phrased more simply – to know a business, you must know its people. You must have People Intelligence.

Read Part 2

RESOURCES

[i] NewVantagePartners LLC (2019). Data and innovation: How big data and AI are accelerating businessTransformation. https://www.tcs.com/content/dam/tcs-bts/pdf/insights/Big-Data-Executive-Survey-2019-Findings-Updated-010219-1.pdf

[ii] 1Path(2020). Data analytics trends: Survey reveals need to better leverage tools. https://1path.com/wp-content/uploads/2020/10/Data-Analytics-Survey-1.pdf

[iii]Schneider, B. (1987). The people make the place. Personnel Psychology, 40(3),437-453.

[iv] NorthwesternMutual (2014). Growing your business: Tips for finding top employees. Forbes. https://www.forbes.com/sites/northwesternmutual/2014/05/27/growing-your-business-tips-for-finding-top-employees/?sh=db114a97ef71

[v]LeBoeuf, M., Wollman, L., Werner, J., & Holland, S. (1987). How to win customers and keep them for life. New York: Berkley Books.

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Written by
James Meaden
Director of Psychological Science

James is an Industrial/Organizational Psychologist and a demonstrated industry leader in the applied use of Artificial Intelligence (AI) and Machine Learning to enhance psychological assessment. He has a track record of developing innovative AI-based psychological assessments and his work has frequently been presented at industry conferences. James is a true scientist-practitioner and leverages his broad experience as both a research scientist and consultant to provide world-class solutions for customer needs.