COMPUTER RESELLER NEWSI JULY, 2019I crn.inI 17RPA
S
ome of the key processes that have
been automated include the
payment process where more than five
lakh transactions are automated on
monthly basis.
Branch users upload two files (pdf
and excel) on a BPM tool from which
users download the files and process
payment of the customers. RPA will
automatically read requests uploaded
on BPM by branches, perform OCR on
the pdf file and compare it with the
excel file. OCR review is followed by
CBS review where records in the file
are compared to CBS giving a list of
matched and mismatched records.
After CBS review, an API request file is
generated by RPA which is then
processed after completing the
maker/checker.
We have also used RPA and BPM for
electricity expense claim automation
for more than 1000 branches
Benefits
Today, there are near zero errors
while processing transactions in 54
processes which have been
automated. We have achieved a 12x
boost in efficiency in most of the Excel-
based processes. This has led to
improved data governance, and
improved quality and security. This
has also helped in achieving
automation of regulatory
requirements.
Overall, RPA has helped us improve
our customer service significantly. We
have also automated repetitive and
mundane tasks related to GUI
automation (Excel data, screen
scraping, etc.) Already more than 50+
processes have gone live with 148 bots
active in production till dateEvolution of RPA
As with every wave of technology,
expectations for RPA were higher than
the practical capabilities of first-
generation RPA tools warranted. Early
automation programs were rushed into
production without the benefit of
analyst research, peer advice or
published case studies. Some of these
early programs have met expectations,
but some have not.RPA 2.0 at Yes Bank
We are confident of more to come in
the days ahead, including capabilities
such as tightly integrated OCR,
artificial intelligence and machine
learning with RPA as a combined
group of tools which can achieve the
organisations’ goals of optimising
business activities and address IT
challenges in the digital age or fourth
industrial revolution.A
t our Network Operations Center
in Pune, we have implemented
RPA in a big way – we have been on
this journey for years. However, there
are human beings doing a significant
amount of work to ensure that machine
algorithms serve the needs of our
business. We are doing similar things
in network planning, network
designing. We are using machine
learning to ensure that decisions are
much more predictable.
Across Vodafone Idea, we have more
than 200,0000 locations where we have
cell sites operating. Each site creates
hundreds of alarms, in case of
incidences such as power failure.
Earlier, we faced the challenge of
proper analysis of these alarms, due to
a huge number of alarms and
inadequate manpower. However, using
RPA, we have set clear algorithms to
co-relate alarms with their respective
incidents. This enables us to get
intelligent analysis of these incidents.
RPA is very crucial when you're dealing
with high volumes of data.
We have also used RPA in several
other functions. For instance, in case of
a power failure, we have created an
algorithm which identifies the nearest
technician using geo-locations and
dispatches the work automatically.
This ensures that the site gets restored
in the minimum time possible. At
Vodafone Idea, we are doing a massive
transformation of our networks. As the
networks of Vodafone and Idea have
come together, we are ensuring that
we implement the latest generation of
technologies.VVIISSHHAANNTT VVOORRAA
CTO, VODAFONE IDEAAANNUUPP PPUURROOHHIITT
CHIEF INFORMATION OFFICER, YES BANK