Sub Industry: Commercial Banking
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Intelligent Automation in record-to-report: Top 4 use cases
Is your Finance and Accounting (F&A) team bogged down by routine, repetitive, low-value tasks? Is the cycle time for closing and reporting high? Does it require significant manual reconciliation and data maintenance? Are your executives hampered by the lack of meaningful reporting? If you are witnessing any of these challenges
Digital finance is now: Are you ready?
If there’s any such thing as a new normal, digital is it. Digital transformation was already on everyone’s agenda in financial services, but COVID-19 has propelled it to the top of the list. According to Mike Mayo, a securities analyst at Wells Fargo, “what we’re seeing is the greatest acceleration
Who will win in the brave new world of financial services?
Jamie Dimon, Chairman and CEO of JPMorgan Chase, recently told analysts he was “scared sh*tless” of the threat fintech and big tech pose to his industry. This hugely respected banker at one of the most highly valued banks in the world is clear that his competitive set has changed. He
Rebooting purchase requisition and order processing: A guide to Intelligent Automation
Your procurement department receives hundreds of purchase requisitions every day for supplies and services, in various formats and layouts. Prior to creating the Purchase Orders (POs), the staff manually enters the data in the ERP system to validate them against supplier data and inventory to ensure your organization in managing
3 steps to enhance invoice processing efficiency through Intelligent Automation
71% of finance professionals still cite manual data entry and inefficient, error-prone, time-consuming processes as their key pain points. Processing an invoice, takes anywhere between 4.1 to 16.3 days per invoice – from receipt to payment approval. Ardent Partners’ Accounts Payable Metrics That Matter in 2020 report reveals that while
Challenger vs established banks: Mobilizing AI, machine learning and data analytics
Few industries in the UK have been as quick as the financial services sector to embrace AI, machine learning, Robotic Process Automation (RPA) and data analytics. Highlighting progress in machine learning alone, a recent Bank of England report found that two-thirds of UK financial services firms are already using it
