DigitalRoute

What’s the true cost of dirty data in your business? 🤔💸 Sarika Dua, Financial and Business Systems Director at MasterClass, highlights the crucial role of data hygiene in optimizing the Order-to-Cash (O2C) process in our latest Data for Subscriptions episode. As Sarika puts it: “If your data is not correct or pure, it will lead to many issues even if you have done a ton of other optimizations.” We explore how clean data helps prevent costly errors, streamline the O2C process, and maximize revenue. 🎧 Tune into the full episode for more insights—link in comments! #datahygiene #O2C #ordertocash

What is the ideal quote-to-cash for consumption models? That's precisely what we'll unpack in next week's live episode of the Data for Subscriptions podcast, when Behdad Banian welcomes Karthik Kirubakaran, Director Financial Systems at 8x8, to the show. From key investments to overcome their biggest challenges, to most important metrics to measure the effectiveness of their quote-to-cash, to how usage data is managed, we'll make sure to leave you with practical tips for your own journey. Do you have your own questions to ask Karthik? 👉 Drop them in the comments 👉 Sign up for next week's session 👉 Get the answer in the live Q&A #dataforsubscriptions #consumptionmodels #quotetocash #q2c #usagedata

🚀 "If you were using these capabilities, we could predict issues before they happen—spotting them by the 15th of the month rather than waiting for the 31st. That saves five days of manual effort and prevents delays in issuing invoices." Gaurav Dixit, Head of Data and AI Products at DigitalRoute, shares how AI-powered anomaly detection helps identify issues early, reduce manual work, and prevent revenue leakage—saving up to $2M annually for a $100M company. 🎙️ Explore this use case and discover how AI-driven Usage Data Management supports anomaly detection and usage forecasting in our latest Data for Subscriptions episode. Link in comments! #ai #datamanagement #AnomalyDetection

Don't miss our upcoming live session of the Data for Subscriptions podcast with Stephen Hurrell from ISG (Information Services Group) about the critical requirements of a subscription management process. From tech needs like data mediation, usage forecasting and revenue recognition to new trends like partner ecosystem, we'll deep dive into why it's critical to invest in your subscription management process. Sign up below 👇 #dataforsubscriptions #subscriptionmanagement

Don't miss our next LinkedIn Live episode of the Data for Subscriptions with Kayvan Dastgheib-Beheshti. We'll share tips on what to consider pre-, during- and post CPQ implementation to build a modern and agile quote-to-cash stack. Sign up below! #dataforsubscriptions #cpq #quote2cash

🚀 How do you forecast revenue in a consumption-based model?🚀 In the latest episode of Data for Subscriptions, Gaurav Dixit, Head of Data and AI Products, shares how to leverage real-time usage data to make forecasting smarter and more accurate. 🔍 Here’s how it works:   📊 Granular Data at the Source: Access unaggregated data at the point it's produced—before it gets lost in the aggregation process. 🔮 Accurate Predictions: By analyzing historical data with different forecasting algorithms, make precise predictions based on real usage. ⚡Real-Time Monitoring: When actual usage deviates from forecasted data, make the system flag it instantly—alerting the right stakeholders in real time. 🎧 Curious to learn more? Listen to the full episode to learn how AI-powered usage data management leverages predictive and generative AI capabilities to eliminate inefficiencies in reactive and manual quote-to-cash processes. #revenueforecasting #usagedata #ai

Did you miss the Quote-to-Cash Summit 2024 last month in London? Here's a recap of the session Andreas Zartmann delivered around automating quote-to-cash. An increasing number of businesses offer subscription based services (78%) which underscores the need for flexible, quote-to-cash processes. However, while software companies push to continue revenue growth (+20% YoY), buyers are cautious and investment in software is down. Businesses look to drive revenue growth through:  👉 new ways of offering their products and services 👉 the introduction of new pricing models   👉 expansion through partnerships 👉 mergers and acquisitions This puts CFO's under significant pressure to keep pace with growth objectives while managing increasing business model complexity. They are responsible for ensuring the quote-to-cash system is capable of scaling financial and monetization operations. Companies want to reduce complexity and add modern features to their Q2C systems. But challenges remain:  ⏳  excessive time taken to process billing 📉  poor accuracy, increased revenue leakage,  😬  difficulties in handling Days Sales Outstanding (DSO) & payment reconciliation A fully-automated, scalable Q2C process can lead to:  ✅ real-time visibility ✅ full flexibility in offering design ✅ end-to-end audit control ✅ proactive resolution of processing issues ✅ quality improvements  ✅ future-proofing the Q2C process Usage data management makes quote-to-cash automation a reality.  ⏩ data mediation for better billing efficiency ⏩ data metering for monetizing consumption-based services entitlements enforcement ⏩ gathering and orchestrating data for revenue assurance If you'd like a recording of the session, type Q2C in the comments section 👇 And huge thanks to Acuiti Labs, SAP, Criteo, Posti Group Oyj for their contribution to the event! #sap #SAPBRIM #quotetocash #q2c #usagedatamanagement

When usage data issues are detected only at billing, they lead to delayed invoices, manual fixes, and unhappy customers. But what if we could catch these problems sooner? In our latest Data for Subscriptions episode, Gaurav Dixit, Head of Data and AI Products, shared: “If you can detect those things in real time by the early indicators of usage and fix them… that’s the best thing which can happen.” 🤖 With AI and machine learning, businesses can proactively address issues before they impact billing—if they can capture granular usage data upstream. 🎧 Listen to the full episode to learn more about AI’s role in usage data management! Link in comments. #usagedata #AI #machinelearning #billing

Don't miss our live episode of the Data for Subscriptions podcast with Jeff MacMillan from Autodesk about their pricing transformation, from perpetual licenses to hybrid subscriptions. Sign up on the link below. #dataforsubscriptions #pricingtransformation #hybridmodels #payg

Don't miss our upcoming LinkedIn Live on trends in cloud migration and the impact it will have on your AI monetization strategies, with Tapish K. as our special guest. Follow the click below to sign up! #dataforsubscriptions #cloudmigration #hybridcloud #aimonetization