It scares me sometimes when I think about the big decisions I’ve made on gut feel and will probably continue to make relying on my instincts.
During a recent conversation with a family member about the data-age, she shared with me that she never thought there would be so much data at her fingertips -- anything and everything you could ever think of. We both agreed that no matter what “data” was available through online resources, friends, for example, nothing would take the place of experiencing first-hand what you just Googled.
Data and culture have a significant part to play in the successful transformation of businesses. Tim looks at how data can be used to affect change and drive value within a business, whilst being cognizant of the culture of the business.
Tim discusses the importance of a roadmap and planning during transformation, emphasising the role of communication. He considers the most important part of communication to obtain buy-in for a transformation.
In an era where HR is frantically struggling for a seat on the bandwagon of data-savvy, data-driven business functions. An era where HR is yet to come to terms with the data value chain; where data culture is practically non-existent; data visualization remains a dark art; and BI stands for Brain Injury ... Is HR ready for Big Data?!
WHERE DO WE BEGIN?
Once upon a time, ATS systems stored millions of stale resumes of any candidate that happened to cross its path. When new roles opened and well-meaning human beings attempted to apply or refer, these systems would mostly say, “Resume already exists in database.” If one were lucky, the ATS would say, “Hey! New resume. Let me replace the old one” and if luck had truly run out, it would save two versions leaving the poor recruiter confounded. Then suddenly, GDPR happened.
Part 4 — What do we want?
Part 3 — Who to trust?
The introduction of artificial intelligence (AI) technologies into the world of HR and recruitment is not just an idea anymore, it is a reality. Neural networks, machine learning and natural language processing are all being introduced into different areas of HR.
These developments contribute to the function’s increased accessibility to data-driven insights and analytics, enabling better-informed people decisions.
As illustrated by the quote below, the case for data in business is not a new one, nor one that needs to be much discussed. The purpose is, and always was, to collect sufficient data (and not too much, ‘infobesity’ and ‘analysis paralysis’ are well-known pitfalls in that area) to make the right choices, with the maximum number of possibilities, whilst acknowledging that decisions are a sort of bet on the future and its uncertainties.