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MS Excel 2010 vLookUp Tutorial For HR Practitioners

Brendan Lys
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Brendan Lys
Brendan Lys

Operating at the intersection of Human Resources and Data Science, I leverage extensive specialist experience within Human Resources, with the methodologies and approaches of Data Science. This focus on the discovery of actionable insights from data, has been applied to areas such as: remuneration & benefits, workforce planning, recruitment, health & safety, diversity, and training. But what does the application of data science to HR challenges and opportunities actually look like. Within an HR framework the data we work with typically comes directly from our HRMIS, an advantage of using data science methodologies is that we can bring in additional data either held within the organization or from external sources - data which is out of reach from a pure HR analytics approach. Consider for example position descriptions, these contain a wealth of data that we typically ignore as its not in a analysis ready format. A side project I'm working on currently (April 2019) is using text mining on job descriptions to provide insights into which job family the position may fit into. The insights of my work have been enjoyed by organizations across a diversity of sectors including: Government (Australia and New Zealand), ASX and NZX listed companies, utilities, not for profit and higher education.

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In this HR Resources Post, we’ve created a YouTube clip explaining the vLookUp formula, of all the Excel formulas I use in HR, the vLookUp is the most useful and one I use virtually every time I open Excel. In this video tutorial we go through two usages of vLookUps, firstly how to import data from one […]

MS Excel 2010 vLookUp Tutorial

In this HR Resources Post, we’ve created a YouTube clip explaining the vLookUp formula, of all the Excel formulas I use in HR, the vLookUp is the most useful and one I use virtually every time I open Excel. In this video tutorial we go through two usages of vLookUps, firstly how to import data from one spreadsheet to our master spreadsheet, and secondly on how to set up an Excel template that we can drag and drop HR data into – extremely useful if you’re setting up Excel spreadsheets for others to drop data into.

Brendan Lys
By Brendan Lys

Operating at the intersection of Human Resources and Data Science, I leverage extensive specialist experience within Human Resources, with the methodologies and approaches of Data Science. This focus on the discovery of actionable insights from data, has been applied to areas such as: remuneration & benefits, workforce planning, recruitment, health & safety, diversity, and training. But what does the application of data science to HR challenges and opportunities actually look like. Within an HR framework the data we work with typically comes directly from our HRMIS, an advantage of using data science methodologies is that we can bring in additional data either held within the organization or from external sources - data which is out of reach from a pure HR analytics approach. Consider for example position descriptions, these contain a wealth of data that we typically ignore as its not in a analysis ready format. A side project I'm working on currently (April 2019) is using text mining on job descriptions to provide insights into which job family the position may fit into. The insights of my work have been enjoyed by organizations across a diversity of sectors including: Government (Australia and New Zealand), ASX and NZX listed companies, utilities, not for profit and higher education.

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