David Belove

When Austropical needed to meet complex GDSN and distributor requirements, they chose Syndigo to turn product data into a competitive advantage. With a trusted foundation for accurate, compliant data, they were finally ready to sell with confidence and scale nationally. See why Syndigo was the right fit: https://lnkd.in/evsX8ZYr

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With Salesforce CPQ being end-of-sale, a lot of companies are taking a fresh look at what they actually need from a new CPQ system. This clip is a helpful reminder that customer expectations have shifted: people often start online and expect a seamless transition if they later engage with sales or partners. There’s more practical guidance in Conga's full webinar if you’re evaluating your options. #CPQ #Salesforce #Steelbrick

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Enterprise software sales isn’t about speed. It’s about alignment. When frontline users, IT, finance, and the C‑suite are aligned, deals move, commits are made. When they aren’t, no amount of pressure fixes it.

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My Take: What does Salesforce’s acquisition of Informatica mean for MDM? Salesforce is again acquiring legacy technology with a significant installed base, prioritizing revenue scale over innovation. Here’s my candid take on the implications of Salesforce's acquisition of Informatica: It underscores the importance of trusted data:  Having begun my career at Siebel, I've witnessed firsthand how CRM solutions struggled, not because of lack of functionality, but because they became YET ANOTHER data silo. Similarly, during my time at Qlik and Celonis, it became clear that even the most sophisticated and visually engaging analytics solutions fail to answer business questions if they’re based on low quality data.  The move to adopt AI has lit a fire under the challenge of crappy data – trusted data has never been more critical. Missing the data movement trees, through the business context forest:  Ok, that’s a mouthful, but hear me out.  Data people care about moving data around, because that’s what they do all day.  Someone wants “a cut” of the data in a slightly different way, so a script is built and yet another database table is stood up.  But this is a huge mistake, and a missed opportunity.  The opportunity is to organize data into business topic areas (“entities”) that matter to the business (“customer”, “supplier”, “product”, “part”, “facility”, etc.).  The world doesn’t need more new ways to move data around; it needs trusted data organized to answer questions.  There is only one way to do this:  use AI (Tamr) and don’t rely on rules. Clearing away the cruft:  The enterprise software business is like a forest, it benefits when a fire clears away the dead growth and lets new growth flourish.  Informatica’s acquisition clears away some of the biggest dead wood in the data management forest.  This is akin to IBM buying Cognos or SAP buying Business Objects in opening a market opportunity for Qlik and Tableau 10 years ago. 

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The Conga + PROS B2B merger marks a defining moment for CPQ and revenue ops. As Forrester highlights, uniting Conga’s configuration, quoting, and workflow leadership with PROS pricing strategy and AI-driven optimization creates an enterprise-grade platform spanning the full quote-to-commit lifecycle. This empowers companies to accelerate deal velocity, strengthen pricing discipline, and deliver more consistent customer experiences across channels. Read the full article: https://bit.ly/3Oemnn8

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There are increasing concerns over power consumption and operational costs of large-scale AI models. This is why we believe EdgeAI will be increasingly relevant. Here is a sneak peak of what a small model running on a device embedded within a powerful enterprise app can accomplish. This use case highlights analyzing asset data and generating key insights to help the technician even without connectivity, harnessing the power of the device. We will be shipping some powerful asset insight highlights soon—but the most exciting part is what comes next. Instead of relying on canned insights, customers can configure and customize their own use cases, define recommended actions, and use our customization UI to present these insights in a way that is most meaningful to their users. Welcome to the realistic AI future! :-)

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What drives treatment decisions? LinQNotes from Norstella turns hidden EMR insights into strategies that improve patient outcomes. Check out the infographic to learn more: https://vist.ly/45zrv

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We've started to get asked about our comparison to CPQ vendors like MonetizeNow and Salesbricks 🧱 There's overlap certainly, on the billing side. On the surface, our capabilities look similar. But if you dive into the documentation there are stark differences. Many of our customers and prospects want to deploy credit/usage based models, so I encourage them to understand from their CPQ provider: -> If their billing infrastructure can be decoupled from their code. -> What the required engineering lift is when any part of the model changes. -> How they are collecting product usage events for monetization. Transparently, we've seen similar products rely on hardcoded infrastructure to serve these purposes. That requires a costly and constant engineering presence. That will slow you down and take precious cycles away from product buidling! Instead, Atlas has chosen to build an AI first approach to maximizing your revenue with the combination of our code free billing infrastructure and pricing and packaging agent. Whether you're a new company or not, everyone is essentially launching a brand new business right now. and I'm encouraging our customers to think beyond the solutions that served them previously - they weren't built for the future we're moving into. Right now, a few things are certain: -> You will change your pricing and packaging multiple times over the next 6 quarters as you navigate a brand new product offering, set of sales motions and customer life cycles. -> There are novel data points, once not considered, that will contribute to understanding what and how to make these changes (product usage, LLM costs, etc) -> Your engineering resources will have new roadmaps and new customer requests that will own their time, all at a new expectation of speed that we've never seen before. That said, Atlas' biggest value proposition is that we help our customers understand and make pricing/packaging changes rapidly without incurring research hours, data analysis cycles and engineering time. So ideally, our customers keep their CPQ providers to handle just that. In fact, many are trying to directly connect Atlas' output to products like Salesbricks 🧱. Atlas will help you navigate the rest of the uncertainty. Happy to share more, especially if you are managing both Self Serve/PLG and Sales Led motions.

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