TRENDING
Our aim is to empower companies to fulfil their vision for strategic business automation and achieve faster , better organizational outcomes .
“ As markets look to scale up enterprise RPA and Intelligent Automation deployments , our aim is to empower companies to fulfil their vision for strategic business automation and achieve faster , better organizational outcomes .”
Almost all of the organizations ( 95 %) surveyed felt that the adoption of RPA has improved overall business operations , which includes error and cost reduction ( 7 % each ), empowering the workforce to concentrate on higher value tasks ( 24 %) and increasing efficiencies and speed within the organization ( 61 %).
The report also revealed that across Australia , India , Singapore and Malaysia , the top two areas that companies leverage RPA are the finance and IT departments .
This differs slightly in Hong Kong , where the top two areas are finance ( 79 %) and customer service ( 71 %) departments . Within the next two to three years , companies in Australia and India expect to continue leveraging RPA the most in the finance and IT departments , while Hong Kong companies expect the same in the finance and customer service departments .
In Malaysia , besides the finance department ( 61 %), companies are prioritizing RPA programs in sales and marketing ( 73 %) in the next two to three years . Interestingly , the finance department was not included in the top three areas that Singapore companies will be leveraging RPA in the near term , with companies ranking IT departments ( 61 %) as the top priority for RPA adoption , followed by sales and marketing ( 54 %) and customer service ( 50 %).
Other key findings for each respective market are as follows :
This report revealed the disparity of RPA adoption within the APAC financial services industry .
Australia key findings
• 99 % of organizations believed that RPA has improved overall business operations , including cost and time savings ( 88 %) and increased accuracy and quality of output ( 76 %).
• Organizations ranked top considerations when drawing RPA budgets to implementation costs ( 77 %) as the most important factor , followed by maintenance costs ( 70 %) and ancillary costs ( 67 %)
• Of the organizations that are not currently using RPA solutions and technologies ( 22 %), 8 % are planning to implement such technologies within the next six months , and 4 % are planning to do so within the next year
• Almost nine in 10 ( 89 %) organizations said that the future growth of RPA is promising
Hong Kong key findings
• 96 % of organizations felt that RPA has improved overall business operations , with significant benefits in cost and time savings ( 69 %) as well as increased accuracy and quality of output ( 69 %).
• In terms of factors that organizations consider when drawing up an RPA budget , most organizations ranked implementation costs ( 65 %) as the most important factor , followed by ancillary costs ( 60 %) and maintenance costs ( 59 %)
• 52 % of organizations are not currently using RPA solutions and technologies ; 31 % are planning to implement such technologies within the next six months , and 8 % are planning to do so within the next year
• 85 % of organizations said that the future growth of RPA is promising
India key findings
• 95 % of organizations felt that RPA has improved overall business operations cost and time savings ( 83 %) as the most significant benefit associated with RPA adoption , and RPA as a catalyst for driving Digital Transformation ( 76 %)
• In terms of factors that organizations consider when drawing up an RPA budget , most organizations ranked implementation costs ( 75 %) as the most important factor , followed by maintenance costs ( 62 %) and ancillary costs ( 44 %)
• Of the organizations that are not currently using RPA solutions and technologies ( 50 %), 27 % are planning to implement such technologies within the next six months , and 11 % are planning to do so within the next year
• More than nine in 10 ( 93 %) organizations said that the future growth of RPA is promising
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