David Kleiss

Fast matters, and staying fast matters more. In BARC's inaugural cloud benchmark, Qlik Cloud Analytics completed more work with steadier response as teams and data scale: ~3× faster interactions and ~2× the throughput. Get the details and see why this is foundational for AI: https://bit.ly/4oEfBUD

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Thoma Bravo returns with Season 4 of Behind the Deal! New episodes go live tomorrow. This season goes deeper than ever, with insightful conversations between our deal team and the leaders of Proofpoint, Anaplan, Coupa, Intel 471 and many more. And for the first time, we’ll hear exclusive insights from CEOs outside our portfolio, like Arvind Krishna of IBM. Among the topics we’re talking about this season: • The most nerve-wracking underwriting decisions that paid off • Is AI good or bad for software? • Key leadership philosophies that drive billion-dollar outcomes Real conversations. Zero scripts. The playbook behind building category-leading software companies. Check us out on Spotify, YouTube, Apple Podcasts or wherever you get your podcasts. You can also visit our updated site to explore previous seasons! https://lnkd.in/gsbYCNmf 

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“5 minutes could save you 10% or more — on your Snowflake costs.” No, its not Geico ad, but its my latest blog on how you can build Snowflake Cost Savings and Performance Agent in 5 minutes. https://lnkd.in/gm9XbEbR It highlights how you can quickly deploy an AI-powered agent using Snowflake Cortex, monitor warehouse performance and cost, apply governance controls automatically, and deliver actionable recommendations using Snowflake Documentation and best practices, Query History and Snowflake Intelligence! What stands out is how AI and governance now work hand-in-hand — reducing operational overhead while improving visibility and compliance across data platforms. #Snowflake #AI #DataGovernance #DataEngineering #cortex #costoptimization

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After back-to-back weeks at events with Databricks and Snowflake, Qlik’s Tom Griggs reflects on the key trends shaping today’s data landscape -- hybrid data personas, the rise of Iceberg, and the growing role of catalogs. See how these developments are influencing innovation across ecosystems, and how Qlik is helping customers keep pace. https://bit.ly/4kRiP5S

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To match their innovative identity solutions, Okta required a flexible and unified planning platform. Anaplan stepped in to connect finance, sales, and operations seamlessly. The result? ✅ Streamlined processes ✅ Improved forecasting ✅ A unified view across teams Read more of Okta’s story to learn how the company has leveraged Anaplan to accelerate decision-making 🔗: https://apln.co/cop145 #planwithAnaplan

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SAP and Databricks recently announced a partnership to integrate the Databricks Lakehouse platform into the new SAP Business Data Cloud (BDC). Read how this collaboration is set to revolutionize enterprise data management, offering a single, governed environment for business data—supercharged with AI: https://lnkd.in/gDDX7pMa #SAP #Databricks #EnterpriseData #ArtificialIntelligence #BusinessData #SAPBusinessDataCloud

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Chris Degnan joined Snowflake as employee #13 (and the 1st sales hire). He scaled the sales org from 0 to over $3B in ARR, spanned four CEOs, and retired as CRO after 11 years. In his first podcast post-retirement, Chris opened his CRO playbook, from early enablement to hiring rigor and fending off threats from competitors. If you’re a founder or running sales at a startup, this one is for you… ➡️ Degnan’s non-negotiable rituals for building a world-class sales org #1: Always – Obsess over enablement. It isn’t a nice-to-have—it should be a top priority. Pick a methodology (like MEDDIC) and hold a weekly enablement session with every rep. #2: Weekly – Every single person in your sales org needs to have a forecast call every week. There should also be a direct team meeting. #3: For milestones – Run sales kickoffs & quarterly business reviews. Chris was shocked by how many startups skip these fundamentals. If you don’t invest in enablement and real coaching systems, he says you’re just asking for failure. Don’t try to reinvent the wheel here. ➡️ Should you hire sales reps in less than 2 weeks? If you’re trying to interview dozens of people for one role, the process is set up to fail. What if you were limited to two people and had to decide if either is your person? Much simpler. At Snowflake, the sales team would limit hiring processes to two weeks. Both sides needed to commit to a decision by the end of that window. If a candidate just “wanted to get to know people” and wouldn’t be ready to sign by day 14, they weren’t in the process. This requires a good pitch to candidates and keeps everything efficient. ➡️ The one thing that makes a great sales leader The best measure of a leader is the performance of their individual contributors. Chris believes great sales leaders do three things: they hire great people, they train those people well, and they drive individual productivity. At Snowflake, his ultimate success metric was whether reps could consistently generate $250K in new ARR per quarter by month seven (after they were fully ramped). Full episode: https://lnkd.in/djfzCd7e

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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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How are the enterprise leaders going to feel more confident about Agentic and AI? At the AWS re:Invent in Vegas, Ravit Jain spoke to Christopher Powell, CMO at Qlik. They last spoke at Qlik Connect 2025 in Florida, so this was a good moment to step back and look at what has changed since then. In their conversation, we covered - What Chris and the Qlik team have been focused on since Qlik Connect and how priorities have evolved through the year - The announcements from AWS re:Invent that stood out most to him and why they matter for customers - Qlik’s new master reseller partnership with Megazone Cloud in Korea and why this collaboration is strategically important for the region - How Qlik’s push into agentic AI is shaping customer adoption and what to expect over the next year - Why the AWS partnership continues to be a core pillar for Qlik and where the biggest opportunities lie - The trends Chris is watching in 2026 and what they mean for data and AI leaders If you want a clear view of how Qlik is thinking about AI, partnerships, and what is coming next, this conversation is worth your time. Link to the complete interview in the comments 👇 #data #ai #aws #reinvent2025 AWS Partners #analytics #agents #agenticai #qlik #theravitshow

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“I’m not in the business of selling AI. I’m in the business of creating value.” Sridhar Ramaswamy summed up Snowflake's moment well in CRN's latest cover story. Whether it’s Snowflake Intelligence in action or the strength of a 14K+ global partner ecosystem, the focus remains on helping customers unlock more business value from their data. A great perspective that's worth the read: https://lnkd.in/gsEtPyiV

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AI is only as powerful as the data behind it 🥊. Coalesce CEO Armon Petrossian sat down with Snowflake's Ryan C. Green on #DataCloudNow to discuss why modern organizations need scalable, governed, and AI-ready data, and how Coalesce is stepping in to meet that demand with a purpose-built platform for Snowflake. 📺 Watch the full conversation: https://lnkd.in/gfN-y7mM

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One of the many ways Apex stays at the forefront of innovation as a Snowflake AI Data Cloud Services partner is by attending events and taking advantage of learning opportunities. Jim Meulendyke, Snowflake Alliance Director, and Mehmet H., Data Solutions Director, were energized by the momentum around Snowflake, AI, and data transformation at the Snowflake Summit last week. They were privy to impactful product announcements, industry updates, and platform improvements. We look forward to utilizing this new knowledge to enhance our Snowflake partnership abilities. ❄️ More on our Snowflake partnership: https://lnkd.in/dtp6QhQM #SnowflakePartner #Conference #Innovation #Partnership #AI

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As Sridhar Ramaswamy noted on Wednesday’s earnings call, Kumo is succeeding alongside Snowflake thanks to “a great product, a sales team that executes at scale, and the ability to introduce new initiatives…” Companies use Kumo to train predictive and embedding models directly on their data in Snowflake, without time-intensive feature engineering. Those models already power decisions inside business-critical applications that reach hundreds of millions of users globally. You can try Kumo for free as a Snowflake Native App: https://lnkd.in/dp6d-nnZ

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