In: Finance
Should an algorithm tell companies who to promote to senior management roles? What considerations should HR managers keep in mind as they use ‘big data’ in their leadership development planning?
Consideration for senior management roles is a very important
decision to be made as it can have serious repercussions if done
wrong.
Big Data i.e. Data analytics is being utilized in all the
organizations among all the different verticals of the company
right from Finance, Marketing to Sales, HR etc. It is important to
realize that just relying on Big Data for all the decisions would
be detrimental considering that there may be errors which may and
do crop in. We cannot assume that the decision reached by a machine
algorithm is 100% correct. It can be definitely correct to some
extent.
Thus when HR managers take decision regarding promotions to senior
management roles, an important aspect is the human element i.e. the
promoted person's temperament and expertise in his/her domain,
behavioral and attitude of the person, teamwork and cooperation.
These are just a few attributed which i think may not be measured
by Big Data algorithm as these are more qualitative in
nature.
Quantitative analysis by Big Data can be relied on because it would
quantify stuff that is possible and hence measurable. But
attributes such as those highlighted above need to be viewed
separately. Also corporate governance standards being followed by
the person, his/her familiarity and loyalty to the organization,
the speed and accuracy of making crucial decisions, being there for
the company when needed the most are some other factors which need
to be viewed separately apart from Big Data.
Thus HR managers should keep in mind the above considerations in
their leadership development planning.