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(1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. 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(1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. 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(1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. 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"agent": null, "layer": "slide", "agents": null, "matchId": "b19486bf-f4c8-4dd2-85ab-b493a7398bd7", "evidence": "Reconciliation table for R&D and G&A expenses across FY20, FY21, and FY22.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 03:22:38.984414+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 78, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Table data", "slug": "table-data", "status": "active", "bestFor": null, "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d", "version": 1, "bodyDocId": null, "description": "Tabular layouts of structured data.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e41ffaa2-2080-4cac-866f-b0a868ec20c2", "evidence": "Reconciliation table with rows for revenue, operating loss 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17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "frameworkName": "Heatmap matrix" }, { "matchId": "019de9a5-bb9f-775d-bdd5-f5c118e2c28b", "evidence": "Comparison table progresses EDW -> Lake -> Lakehouse -> Public Cloud -> Data Cloud.", "framework": null, "confidence": 80, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "frameworkName": "Maturity model" }, { "matchId": "019de9a5-bbdd-7549-8981-9c780b246cd3", "evidence": "Two-bucket Extending vs Expanding categorization frame.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "frameworkName": "2x2 Matrix" }, { "matchId": "019de9a5-bbfc-7219-aeb4-670f6a3f7d6d", "evidence": "Two network graphs visualize compounding 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Pyramid" }, { "matchId": "019de9a5-bc55-76c5-bd76-87bcc490d63b", "evidence": "Donuts split migrations into mutually exclusive Cloud vs On-Prem buckets.", "framework": null, "confidence": 60, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 44, "frameworkName": "MECE breakdown" }, { "matchId": "019de9a5-bc72-703a-977d-c58335996b53", "evidence": "Pyramid tiers Verticals/Enterprises/Corporate/On-Demand by sales motion.", "framework": null, "confidence": 85, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 58, "frameworkName": "Market Segmentation Pyramid" }, { "matchId": "019de9a5-bc91-76cf-9e05-8d3716bd0f67", "evidence": "Stack: workloads atop Warehouse/Lake/Unistore atop Cross-Cloud Snowgrid.", "framework": null, "confidence": 75, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 60, "frameworkName": "Three Pillars Framework" }, { "matchId": "019de9a5-bcae-745d-9496-5a67140f2cdf", "evidence": "Optimization line shows post-dip recovery vs forecast.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 67, "frameworkName": "S-curve" }, { "matchId": "019de9a5-bccc-770d-847e-f4e3ed732af6", "evidence": "Dual-line J-curve pattern after optimization intervention.", "framework": null, "confidence": 65, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 68, "frameworkName": "S-curve" }, { "matchId": "019de9a5-bcea-74d2-b1cf-235e66977a09", "evidence": "FY21/FY22 actuals projected against FY29 target column.", "framework": null, "confidence": 50, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 69, "frameworkName": "Scenario Analysis" }, { "matchId": "019de9a5-bd0b-728b-b69d-0d8abe80959f", "evidence": "Long-term operating model contrasts current vs prior vs updated FY29 targets.", "framework": null, "confidence": 55, "extraction": { "at": "2026-05-02 17:04:01.782246+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 70, "frameworkName": "Scenario Analysis" } ], "patterns": [] }, "storymakers": { "model": "claude-cli", "backend": "claude", "rawJson": { "arc": { "id": 1, "slug": "consultants-gambit", "beats": [ { "name": "Situation & Context", "end_page": 15, "evidence": "'Where We've Been' + mission/vertical dividers + Data Cloud platform definition.", "position": 1, "start_page": 4 }, { "name": "Problem & Complication", "end_page": 18, "evidence": "'Innovation Areas' frames need to 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Cash outflows for employee payroll tax items related to the net share settlement of equity awards are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow. Free cash flow margin is calculated as free cash flow as a percentage of revenue. We believe these measures provide useful supplemental information to investors because they are indicators of the strength and performance of our core business operations.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:32.511+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0e5d616a-530b-4706-aab1-36bf95a7c8c1", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.44, "x": 0.51, "y": 0.27 }, "kind": "paragraph", "text": "Adjusted free cash flow is defined as free cash flow plus (minus) net cash paid (received) on employer and employee payroll tax-related items on employee stock transactions. Employee payroll tax-related items on employee stock transactions are generally pass-through transactions that are expected to have a net zero impact on free cash flow over time, but that may impact free cash flow in any given fiscal quarter due to differences between the time that we receive funds from our employees and the time that we remit those funds to applicable tax authorities. We believe that excluding the effects of these payroll tax-related items will enhance stockholders' ability to evaluate our free cash flow performance, including on a quarter-over-quarter basis. Adjusted free cash flow margin is calculated as adjusted free cash flow as a percentage of revenue. We believe these measures provide useful supplemental information to investors because they are indicators of the strength and performance of our core business operations.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:32.511+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "925927d8-9028-474b-98f6-9a4d71111869", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.44, "x": 0.05, "y": 0.27 }, "kind": "paragraph", "text": "Our non-GAAP product gross profit, operating income (loss), and net income (loss) measures exclude the effect of stock-based compensation-related charges, including employer payroll tax-related items on employee stock transactions, amortization of acquired intangibles, expenses associated with acquisitions and strategic investments, and the related income tax effect of these adjustments as well as the non-recurring income tax expense or benefit associated with acquisitions. We believe the presentation of operating results that exclude these non-cash or non-recurring items provides useful supplemental information to investors and facilitates the analysis of our operating results and comparison of operating results across reporting periods.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:32.511+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b1cc2565-525f-4930-b22c-4780c295ca24", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.05, "y": 0.07 }, "kind": "title", "text": "Statement Regarding Use of Non-GAAP Financial Measures", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:32.511+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "572da4e3-a9a7-44cb-a21a-8973b1f66c9c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 74, "type": "setup", "function": "other", "rawType": "appendix_disclosure", "block": null, "metadata": { "slideType": "appendix_disclosure", "slideTypeCanon": { "name": "Appendix disclosure", "slug": "appendix_disclosure", "status": "active", "canonId": "019de52d-07b2-7549-8e8b-932a19f6e616", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "dense", "densityScore": 63, "componentCount": 6, "textChars": 3733, "nDataPoints": 0, "notes": null, "elementsJson": [ "paragraph" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 17:02:29.753+00", "seconds": 4.1, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5eff-723e-9be5-5b60693918da/74", "deck": "/decks/019dd923-5eff-723e-9be5-5b60693918da", "deckAnchor": "/decks/019dd923-5eff-723e-9be5-5b60693918da#slide-74", "deckJson": "/decks/019dd923-5eff-723e-9be5-5b60693918da.json" }, "components": [ { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.45 }, "kind": "paragraph", "text": "Global 2000 Customers: Our Forbes Global 2000 customer count is based on the 2021 Forbes Global 2000 list. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the list by Forbes, as well as acquisitions, consolidations, spin-offs, and other market activity with respect to such customers, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:29.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "185380df-9300-498d-b3fc-c8888d3ad7e3", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.9, "x": 0.05, "y": 0.53 }, "kind": "paragraph", "text": "Net Revenue Retention Rate: To calculate net revenue retention rate, we first specify a measurement period consisting of the trailing two years from our current period end. Next, we define as our measurement cohort the population of customers under capacity contracts that used our platform at any point in the first month of the first year of the measurement period. Starting with the fiscal quarter ended October 31, 2021, the cohorts used to calculate net revenue retention rate include end-customers under a reseller arrangement. We then calculate our net revenue retention rate as the quotient obtained by dividing our product revenue from this cohort in the second year of the measurement period by our product revenue from this cohort in the first year of the measurement period. Any customer in the cohort that did not use our platform in the second year remains in the calculation and contributes zero product revenue in the second year. Our net revenue retention rate is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our net revenue retention rate for historical periods reflecting these adjustments. Since we will continue to attribute the historical product revenue to the consolidated contract, consolidation of capacity contracts within a customer's organization typically will not impact our net revenue retention rate unless one of those customers was not a customer at any point in the first month of the first year of the measurement period.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:29.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1a4ec687-3146-41ef-ac37-3ddf5cfc4b78", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.9, "x": 0.05, "y": 0.33 }, "kind": "paragraph", "text": "Customers with Trailing 12-Month Product Revenue Greater than $1M: To calculate the number of customers with trailing 12-month product revenue greater than $1 million (or any other given dollar threshold), we count the number of customers under capacity arrangements that contributed more than $1 million in product revenue in the trailing 12 months as of a given measurement date. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our customer count for historical periods reflecting these adjustments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:29.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1d021601-bae4-4618-81fd-0c08e84c89bd", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.9, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "Total Customers: We count the total number of customers at the end of each period. For purposes of determining our customer count, we treat each customer account, including accounts for end-customers under a reseller arrangement, that has at least one corresponding capacity contract as a unique customer, and a single organization with multiple divisions, segments, or subsidiaries may be counted as multiple customers. For purposes of determining our customer count, we do not include customers that consume our platform only under on-demand arrangements. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our total customer count for historical periods reflecting these adjustments.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:02:29.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "27142123-54c1-4ac8-bf7d-47bc8fc1f3f3", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.9, "x": 0.05, "y": 0.78 }, "kind": "paragraph", "text": "Consumption Mix by Edition: Customer consumption mix by edition is estimated based on customer consumption of our platform during each fiscal period as measured at the applicable contractual price, and includes consumption by both capacity and on-demand customers. 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