1.
How is Modi’s trump card on black money affecting employees?
9th November is indeed a historical day both for the US and India.
Although Modi's aim to curb corruption is highly applauded, but let’s see how it
has affected people coming to work.
Once
again Narendra Modi has struck into the heart of black money trying to uproot
corruption from the nation. Although it is a bold move, the sudden news has
taken the entire country by surprise. The midnight announcement left people
with black money to bear the brunt of using notes that they have been stashed
away for years. But let us see how this surgical strike on black money has
affected the daily working life of an employee working in the corporate world.
Companies
holding employee accounts with the banks can discuss and streamline the process
of exchange of 500 and 1000 rupee notes. Small sized companies lacking
cafeterias can help employees by providing foodstuff to employees.
I believe
this is a great move and will go a long way in benefiting the entire nation.
This move over the long term will reduce the cost of housing and
inflation. Coming to the difficulties that employees are facing after the news
was declared; companies can provide flexibility to employees to work from home
whenever possible
2.
Trump, Polling
and Predictive Analytics
Why fitting
people, and particularly their emotions into polls and predictive models does
not always work.
Earlier
this week, the world believed that Donald Trump had only 10 to 15 percent
chances of winning the US presidential elections. But pollsters and analysts
were all in for a big shock last night. Despite many odds that were highlighted
against for Trump in his race, the next US president is slated to be Donald
Trump.
Of course
polling for elections is a different ball game altogether than doing it for an
organization, comparing polling for 200 million voting-age Americans is
strikingly different from polling for a few thousand people in an
organizational setting. But are such numbers relevant for corporates who try to
understand underlying sentiments and intent of their teams when they analyze
results of data collected from surveys and polls? Taking cue from the US presidential
elections, we can safely state that the following were some of the things that
the US polling experts got wrong, and how this can help us to reflect when we
use surveys, polling and data analytics to predict results while taking into
cognizance the sentiments of people:
1. People can
have hidden intentions, unexpressed emotions and they can change their minds
2. Fitting
prediction results into stakeholder’s expectations
3. Dangers
with random sampling
3.
Aon Hewitt
acquires CoCubes; expands hiring assessments portfolio
The management
consulting firm has now added two million assessments to its existing global
portfolio.
Aon Hewitt has acquired
CoCubes, a hiring assessment company based in India. With this new addition,
the US headquartered management consulting firm adds two million assessments to
its existing global portfolio of 20 million assessments spread across 164 countries.
Aon Hewitt helps organisations make better hiring decisions and
improve performance by predicting the success of their potential and current
employees. CoCubes, on the other hand, connects colleges, students and
corporates using assessments; to create a seamless entry-level hiring
ecosystem.
Talking of the acquisition, Sandeep Chaudhary, CEO, India
Consulting, Aon Hewitt, said, “We were actively looking for an organisation
that focusses on employability assessments. CoCubes stood out for us as a
successful startup with its profitable growth, resilient leadership team and an
innovative technology platform. With its strong client standing and
value-aligned leadership, CoCubes is clearly our partner of choice to augment
our assessment solutions in India and across other markets in Asia Pacific.”
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