Continuous Automation

2 Million Loan Accounts, 29 States, 5 Call centers, 7 Applications

SPAR’s RPA-practice sets the Record Straight

Repetitive and error-prone tasks that are the basis for time-sesnitive data. – that’s the story of many insurance and banking businesses. During business as usual, application code starts resembling a spaghetti dish that no one has an appetite for! This is when SPAR’s RPA solutions can make the difference. Our processes isolate repetitive tasks and, mould them ready for either desktop or web automation. Click here to find out more.

RPA can be used to automate processes that are:

Highly repetitive

Mass email marketing campaigns is an example of a task that is repetitive in nature. They are ideal for RPA. These tasks require very little or no intelligence, Hence human labor is wasted on such tasks.

Prone to error

Gleaning email ids of KYC forms is a task that is extremely error-prone. A data entry operator can cause endemic errors by a word spelt wrong or a space entered extra. A RPA solution on the other hand can glean the mail-id off the customers’s email, flawlessly.

Rules based

Loan due reminders, acknowledgement of a payment made are common examples of rules-based tasks. Such tasks afe tailor-made for automation. It is not very different from writing a macro in an excel sheet!

Time critical and seasonal

Alerts after wcash withdrawl from a c checki-in / savings account is an example of a time-critcal task. Queries for a car loan for a half-year;ly promotion is an example of a seasonal task that can be automated for desktop / web

Expertise Across Processes & Products

RPA by Applications

  • Desktop
  • Web
  • Excel

RPA by Industry

  • Banking
  • Insurance
  • E-commerce

RPA by Products

  • Banking
  • Insurance
  • E-commerce

The cost-savings through RPA (estimated to be 66% on a conservative basis) can be realized through a combination of both processes and products. Download our whitepaper to find out how SPAR enables you to realize such savings.

Spar’s big data practice is all about turning the inherent potential into profits. As champions of the art of data, we have made our presence felt in every vertical.

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