Why dirty data can stop quote-to-cash processes in their tracks

Published by DigitalRoute

It’s been 15 years since mathematician Clive Humby uttered those famous words: “Data is the new oil. It’s valuable, but if unrefined, it cannot really be used.”

Fast forward to today, and a number of businesses have made uneven progress toward that vision.

Modern quote-to-cash processes must be based on a data-first approach. Get insights on the dirty data challenge from ​​MGI Research and DigitalRoute.

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---------- 10,000+ 7,501-10,000 5,001-7,500 2,501-5,000 1,001-2,500 501-1,000 251-500 101-250 51-100 0-50

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---------- GROW the business through new business models and pricing, for REVENUE GROWTH GROW the business through new business models and pricing, for better CUSTOMER ENGAGEMENT GROW the business by understanding product or service usage, for a more PERSONALIZED OFFERING IMPROVE the business with accurate PARTNER SETTLEMENT and REVENUE SHARE processes IMPROVE the business by taking control of COMPLEXITY and DATA VOLUMES related to services IMPROVE the business by taking control of COMPLEXITY and DATA VOLUMES related to services PROTECT the business by ensuring accounting and billing are accurate, to ELIMINATE REVENUE LEAKAGE PROTECT the business by proactively identifying usage frequency, for satisfaction insights and to REDUCE CHURN PROTECT the business by providing all end-to-end data, for regulatory COMPLIANCE We don’t currently collect usage data

What is your timeline for implementing these scenarios? *

---------- 0-3 months 3-6 months 6-12 months 12 months +

How are you looking to manage your company’s usage data? *

---------- In-House Platform (Home-grown) My existing ERP system My existing billing system New billing system ETL tools and data lakes iPaaS or similar data integration tools Usage data management software Not looking to manage usage data. Other (please specify)

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