Scott Moorhouse

Leading responsibly with #AI is something about which the entire team at Qlik is obviously passionate about. Companies should be able to govern themselves; you can’t make the mistake of assuming you know it all. As CEO Mike Capone so succinctly said in his keynote, it's important to "have some humility" as part of this journey. No one knows it all, and in a rapidly evolving space, embracing the fact that you don't know what you don't know — until you know — is key. I'm very impressed with Qlik's formation of an AI Council, comprised of the best minds in AI, and intended to help Qlik and customers navigate the fast moving AI landscape. Qlik AI Council member Nina Schick spoke at the keynote this morning, and later on today, we'll hear from Dr. Rumman Chowdhury (who also worked under Musk at Twitter for a while), on how the council delivers value and how you can think about creating a resource like this within your organization. #theCUBEresearch #qlikconnect

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I join Holden Spaht, one of Thoma Bravo’s leading enterprise software investors, for a second installment on the Dry Powder #Podcast, as they explore exit strategies. Listen to the full episode here as I ask Holden how his team has been navigating the bid-ask spread problem and finding opportunities to exit. https://lnkd.in/eDWrUYJf

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Please enjoy my interview with Snowflake CFO Mike Scarpelli Snowflake CFO explains a few things you don’t understand about this business Many people don’t understand just how unique the Snowflake way of running a gigantic database is, or its approach to data sharing, says CFO Mike Scarpelli. They may have an even tougher time understanding just how the financials work. “We were really the first ones to figure out how to separate storage from compute — everyone has figured out how to do that […] but no one has figured out how to do data sharing the way we do data sharing.” https://lnkd.in/eKqgM_P6 Michael Scarpelli Snowflake

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Really enjoyed the many conversations our team at theCUBE had the opportunity to have while at Qlik's Qlik Connect event last week. James Fisher, Qlik's chief strategy officer, shared insights on the many investments the cmopany has made at the heart of Qlik and its analytics engine, and harnessing the power of Gen AI is the key to the company's strategy around the future of data analytics. "We took that big data wave, we’ve taken that wave to cloud, and now everything that’s happening around AI and generative AI is just such a huge opportunity, but we’ve got to do it right." And getting it right includes optimizing processes, optimizing data, and getting the foundation right. And that foundation, it's everything. "Helping customers work with data wherever it resides is at the key of Qlik’s strategy. Enabling that involves a platform with best-in-class capabilities, according to Fisher. Qlik's Brendan Grady spoke with us about Qlik Answers and the ecosystem advantage they see Qlik having: “We have the unique advantage of being able to support that data supply chain wherever the data resides across any cloud platform, and that creates a huge ecosystem advantage for Qlik,” he said. “The landscape is going to change around the cloud platforms that customers are using.” SiliconANGLE & theCUBE #theCUBEresearch #dataplatform #dataanalytics

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This episode covers the following topics and interviews: 1. Snowflake’s Massive Data Breach 2. The Dark Side of Artificial Intelligence 3. Integrating Business & Technology to Scale for Growth 4. ERP Implementation Best Practices https://lnkd.in/gbNXCvPF

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Qlik's Chief Strategy Officer @James Fisher is back with another look into the "sliding doors" of data. This time, learn about James's POV on how to generate value with Data Products and why a product-centric approach for data management delivers high-quality, curated, and trusted #AI-ready data assets. Read it here:  https://oal.lu/XAhjx

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If you have Sales data residing in ❄ Snowflake or 🧱Databricks, it could easily look like this in Astrato Analytics ⚡ Well organized and good looking data presentation 📊, styling 🎨 and smart analytics🖼 makes all the difference in getting your sales team to be data-driven! 🚀 💲 Give your business access to your data - they're thirsty for insights!

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Snowflake's Investor Day presentation this week was a great showcase of how CRO-CFO alignment is crucial in driving company strategy. The session had plenty of evidence of effective collaboration between the Sales and Finance teams. For example, Snowflake's FY2025 sales compensation redesign is directly tied to the company's strategic objectives to drive logo and consumption growth. This is impossible for a CRO or CFO to achieve alone; they have to do it together. My favorite piece of evidence of Snowflake's CRO-CFO alignment is the chart below (from last year's deck), which shows how sales productivity dictates new sales investment. Sales productivity is defined as (x) net new ACV in $ millions divided by (y) AE headcount at fiscal year-end. The 1.0x threshold metric means the company will only invest in new sales headcount when AEs on average close at least $1 million in net new ACV annually. In other words, as long as Finance sees the productivity, Sales will get more budget to hire more reps. This defines accountabilities and rules of engagement: The CFO proactively supports the CRO's evolving needs, and the CRO has clear expectations about driving efficient growth. This chart is easy to put on a slide, but achieving the level of alignment required for a common CRO-CFO definition of "sales productivity" is very difficult. Few companies succeed at this, but Snowflake shows it can be done. What makes Snowflake different? Here's a hint: The previous CEO used to call himself "Frank (Anti-Silo) Slootman" on his LinkedIn profile. That tells you everything you need to know. CRO-CFO alignment starts with the CEO (not with the tech stack). #CFO #CRO #CMO #CCO #RevOps #RevenueOperations #SalesOps #GTM #Finance #RevenuePlanning #RevenueForecasting #Marketing #Sales #Enterprise #SaaS #CustomerSuccess #SalesQuotas #SalesTerritories #SalesProcess #CapacityPlanning #SalesCompensation #Compensation #ResourceAllocation #VentureCapital #PrivateEquity #StrategicFinance #FPandA #Snowflake #InvestorDay #CapitalAllocation #SalesProductivity

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This note from Craig Schiff is worth reading and takes 5 minutes only... "This acquisition is more than just another industry merger" he says and here's why. Anaplan's acquisition of Fluence Technologies is a game-changer in the performance management industry. It brings "best of breed made real" to the forefront of performance management. Here are three key insights into why this acquisition is worth noting: 1. Mutual Benefits for Vendors and Customers: Anaplan and Fluence's merger fills critical gaps in the performance management landscape, offering customers a seamless planning, consolidation, and disclosure management solution. Organizations can accelerate decision-making and optimise performance strategies by combining Anaplan's agility with Fluence's consolidation prowess. 2. Anaplan's Rise to Comprehensive CPM Solution Leadership: With this move, Anaplan joins the league of comprehensive CPM solution leaders for large enterprises. Anaplan's integration of financial and operational planning, consolidation, and analytics underscores the pivotal role of financial consolidation in measuring performance. 3. Empowering Best-of-Breed Solutions: The merger showcases the viability of best-of-breed solutions, seamlessly integrated by a single vendor. By leveraging the strengths of Anaplan and Fluence, organizations can elevate their performance management initiatives with tailored functionalities, streamlining operations and fostering strategic agility. Anaplan's acquisition of Fluence Technologies heralds a new era of innovation in performance management. Whether you're a large enterprise or a midmarket player, now is the time to explore how this merger can revolutionize your performance management approach.

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Announcing Databricks AI/BI, a new type of BI product that deeply understands your data’s semantics and democratizes analytics. Built on a compound AI system that powers: - AI/BI Dashboards: AI-powered, low-code solution with all BI capabilities you'd expert out of the box, for answering a fixed set of business questions. - Genie: a conversational interface that can learn your underlying data continuously based on human feedback, and flexibly answer questions. Learn more about AI/BI's design and what this means for self-service BI.

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Today I connected with Natalie Wignall to talk about exciting things that Qlik has in store for its #Manufacturing and #Utility sector customers during #2024. Top of the list, of new technology, is #QlikAnswers a #GenAI unstructured data LLM interpolator that can literally answer any questions that you ask it... What was more interesting, for me, was to hear Natalie talk about use cases that would revolutionise #customerservice and #customercare. I was really wowed by the this. I can see 40 years worth data from forms (pdfs) contracts, manuals, guides and other unstructured document types all being consumed to create company and industry solutions. What would you use #QlikAnswers for? On the 26th November Differentia Consulting will be hosting a #StressFreeQlik Customer Day in Reading and will be excited to hear about how customers have adopted #QlikAnswers and more: To register see: https://lnkd.in/e6-mE9SC INTRODUCING QLIK ANSWERS™ Make Better Decisions with Generative AI-driven Answers from Unstructured Data Introducing Qlik Answers. An all-new knowledge assistant. Now you can deliver personalized, relevant answers to questions generated from a variety of unstructured data sources. see: https://lnkd.in/ek3X2-ne

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🚀 📈 Looking to optimize your #manufacturing #pricingstrategy? Look no further! This article from my colleague, Justin Childs breaks down the impact of performance visibility & forecasting. 🔍💬 Elevate your business game & read now 👉 https://okt.to/RCxg2b 💰 #priceoptimization #pricemanagement #pricingsoftware

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Databricks has acquired Tabular to increase its AI offerings. The deal is estimated to be between $1 billion to $2 billion. Tabular is a storage platform developed by the creators of Apache Iceberg Ryan Blue, CEO and co-founder of Tabular, stated, "With Tabular joining Databricks, we intend to build the best data management platform based on open lakehouse formats so that companies don’t have to worry about picking the ‘right’ format or getting locked into proprietary data formats." Read more: https://lnkd.in/e_6-UBbc #ai #Databricks

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Announcing Databricks AI/BI, a new type of BI product that deeply understands your data’s semantics and democratizes analytics. Built on a compound AI system that powers: - AI/BI Dashboards: AI-powered, low-code solution with all BI capabilities you'd expert out of the box, for answering a fixed set of business questions. - Genie: a conversational interface that can learn your underlying data continuously based on human feedback, and flexibly answer questions. Learn more about AI/BI's design and what this means for self-service BI.

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Cost savings is crucial for any business, as it directly impacts EBITDA. By leveraging better analytics, procurement teams can develop better strategies and make a significant impact on the bottom line. #procurement #analytics #costsavings #strategy #EBITDA

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