Data Platform Migration Plan
Data Platform Migration Plan is a fictional OPF example for data engineering teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.
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Metadata
Source JSON
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"notes": "Open by naming the decision: Move analytics workloads with minimal reporting disruption."
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{
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"bold": true,
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{
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{
"when": "Oct",
"what": "Scale",
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{
"when": "May",
"what": "Embed",
"description": "Move reporting and routines into steady-state operations."
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{
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"bold": true
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"description": "Keep one person accountable for momentum."
},
{
"text": "Publish the progress rhythm.",
"description": "Use the same metric definitions every week."
},
{
"text": "Return with proof.",
"description": "Bring customer, employee, resident, or learner evidence into the next review."
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",
"alt": "Data engineering background image",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
},
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",
"alt": "Data engineering field context",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
},
"demo-video": {
"src": "./media/fathom-retail-demo.mp4",
"title": "Data engineering walkthrough",
"mediaType": "video/mp4"
},
"metric-data": {
"src": "./data/data-platform-migration-plan.csv",
"mediaType": "text/csv",
"title": "Data Platform Migration Plan data"
},
"watermark": {
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"alt": "Fathom Retail watermark",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
}
},
"extensions": {
"example": {
"folder": "business-functions",
"density": "dense",
"scenario": "data-platform-migration-plan",
"generatedBy": "scripts/generate-example-suite.mjs"
}
},
"catalogs": {
"custom": {
"narratives": {
"data-platform-migration-plan-arc": {
"name": "Data Engineering Decision Arc",
"summary": "A custom arc for Fathom Retail.",
"description": "Data Platform Migration Plan uses a compact evidence-to-decision arc for Fathom Retail.",
"beats": [
{
"id": "context",
"name": "Context",
"type": "text",
"layout": "text"
},
{
"id": "evidence",
"name": "Evidence",
"type": "chart",
"layout": "chart"
},
{
"id": "decision",
"name": "Decision",
"type": "list",
"layout": "list"
}
]
}
},
"themes": {
"fathom-retail-theme": {
"name": "Fathom Retail Working Theme",
"colorScheme": "slate-gray",
"fontScheme": "noto-nastaliq-urdu",
"background": {
"type": "theme",
"slot": "light1"
},
"tags": [
"data-engineering",
"example"
]
}
},
"colorSchemes": {
"fathom-retail-signal": {
"name": "Fathom Retail Signal Palette",
"accent1": "#BE123C",
"accent2": "#6D28D9",
"accent3": "#0369A1",
"accent4": "#334155",
"accent5": "#F8FAFC",
"accent6": "#E2E8F0",
"dark1": "#0F172A",
"dark2": "#334155",
"light1": "#FFFFFF",
"light2": "#F8FAFC",
"hyperlink": "#2563EB",
"followedHyperlink": "#7C3AED"
}
}
},
"default": {
"source": "https://www.pptx.gallery",
"audiences": {
"general-public": {
"name": "General Public",
"summary": "Mixed non-expert audience with no assumed domain knowledge.",
"description": "A mixed audience of non-experts with no assumed domain knowledge. Prefer analogies to data, use only simple charts, set large text for accessibility, and structure the talk as a story. Keep chart density low; 10-15 slides.",
"seniority": "mixed",
"technicalFluency": "low",
"decisionPower": "informational",
"attentionBudgetMinutes": 30,
"recommendedNarratives": [
"heros-journey",
"problem-solution"
],
"recommendedTones": [
"conversational",
"casual",
"inspirational"
],
"tags": [
"public",
"education",
"accessible"
]
},
"media": {
"name": "Media & Press",
"summary": "Journalists, analysts, and media professionals seeking newsworthy insights and quotable statistics.",
"description": "Journalists, analysts, and media professionals looking for newsworthy insight and quotable statistics. Make headline numbers prominent, attribute every figure clearly, design for print, and add embargo notes when needed. Moderate chart density; 8-12 slides in press-kit format.",
"seniority": "mixed",
"technicalFluency": "medium",
"decisionPower": "informational",
"attentionBudgetMinutes": 20,
"recommendedNarratives": [
"what-so-what-now-what",
"pyramid-principle"
],
"recommendedTones": [
"authoritative",
"formal"
],
"tags": [
"external",
"press",
"analyst"
]
}
},
"purposes": {
"inform": {
"name": "Inform",
"summary": "Give the audience clear context, facts, or status without asking for a decision.",
"description": "Use when the deck needs to make the audience aware of current state, background, or findings. Prioritize clarity, completeness, and accurate framing over persuasion.",
"outcome": "The audience understands the situation and can repeat the important facts.",
"successCriteria": [
"Audience can summarize the key facts",
"No immediate decision is required",
"Follow-up questions are about implications, not basic context"
],
"recommendedNarratives": [
"status-update",
"focus",
"educate"
],
"recommendedTones": [
"formal",
"conversational"
],
"tags": [
"awareness",
"context",
"status"
]
}
},
"tones": {
"inspirational": {
"name": "Inspirational",
"summary": "Aspirational, narrative-driven voice for keynotes, founders, and rallying cries.",
"description": "Reach for shared belief and possibility, then ground it in something concrete. Use vivid imagery and rhythm; avoid collapsing into hype by always pairing aspiration with a real anchor.",
"voiceCues": [
"Open with belief; close with action.",
"Use rhythm — paired phrases, repetition, deliberate beats.",
"Pair every aspirational claim with a concrete proof point.",
"Speak in present tense to make the future feel inevitable."
],
"avoid": [
"Empty hype without evidence.",
"Stacked superlatives ('the very best, world-changing, revolutionary').",
"Cynical or hedging language.",
"Dense data tables — push numbers into supporting slides."
],
"samplePhrases": [
"We're building the runtime that makes agents feel instant.",
"When latency disappears, what becomes possible?",
"The next decade of software belongs to teams who treat speed as a feature."
],
"recommendedNarratives": [
"golden-circle",
"conference-talk",
"venture-pitch",
"company-intro"
],
"tags": [
"motivational",
"keynote",
"founder"
]
}
},
"themes": {
"minimal": {
"name": "Minimal",
"background": {
"type": "theme",
"slot": "dark2"
},
"colorScheme": "cool-horizon",
"description": "A clean, minimalistic theme with a focus on simplicity and readability. Ideal for professional, straightforward presentations.",
"fontScheme": "aptos",
"dimensions": "widescreen",
"variants": [
{
"id": "light",
"name": "Light",
"variant": "light1"
},
{
"id": "light-alt",
"name": "Light alt",
"variant": {
"background": "light1",
"accents": [
"accent6",
"accent5",
"accent4",
"accent1",
"accent3",
"accent2"
]
}
},
{
"id": "dark",
"name": "Dark",
"variant": "dark2"
},
{
"id": "dark-alt",
"name": "Dark alt",
"variant": {
"background": "dark2",
"accents": [
"accent6",
"accent5",
"accent4",
"accent1",
"accent3",
"accent2"
]
}
}
]
}
},
"colorSchemes": {
"slate-gray": {
"name": "Slate Gray",
"accent1": "#9E9E9E",
"accent2": "#424242",
"accent3": "#616161",
"accent4": "#757575",
"accent5": "#9E9E9E",
"accent6": "#212121",
"dark1": "#000000",
"dark2": "#1B1B1B",
"followedHyperlink": "#424242",
"hyperlink": "#212121",
"light1": "#FFFFFF",
"light2": "#F8F8F8",
"summary": "Neutral gray palette for understated executive communication.",
"description": "A disciplined gray scale with strong neutral contrast. Use it when the content should feel calm, mature, and analytical.",
"tags": [
"neutral",
"minimal",
"mature",
"analytical",
"restrained"
]
},
"cool-horizon": {
"name": "Cool Horizon",
"accent1": "#2874A6",
"accent2": "#1B4F72",
"accent3": "#5499C7",
"accent4": "#7BDBB2",
"accent5": "#3AC67A",
"accent6": "#24A89E",
"dark1": "#000000",
"dark2": "#011842",
"followedHyperlink": "#551A8B",
"hyperlink": "#0000EE",
"light1": "#FFFFFF",
"light2": "#F0F0F0",
"summary": "Cool blue-green palette tuned for professional business decks.",
"description": "A balanced cool-toned scheme with deep navy, business blues, and teal accents. It works well across strategy, finance, and technical narratives.",
"tags": [
"professional",
"trustworthy",
"calm",
"technical",
"versatile"
]
}
},
"fontSchemes": {
"grandview": {
"name": "Grandview",
"app": "powerpoint",
"languageFamily": "latin",
"languages": [],
"major": "Grandview Display",
"minor": "Grandview",
"textSample": "Bold road sign",
"type": "sans-serif",
"description": "Grandview is a sans serif OPF font scheme for Latin presentations, using Grandview Display for headings with Grandview for body text."
},
"noto-nastaliq-urdu": {
"name": "Noto Nastaliq Urdu",
"app": "google-slides",
"languageFamily": "cs",
"languages": [
"ur",
"pa-Arab"
],
"major": "Noto Nastaliq Urdu",
"minor": "Noto Nastaliq Urdu",
"textSample": "یہ خوبصورت ہے",
"type": "sans-serif",
"description": "Noto Nastaliq Urdu is a sans serif OPF font scheme for complex script presentations, using Noto Nastaliq Urdu for both headings and body text."
},
"aptos": {
"name": "Aptos",
"app": "powerpoint",
"languageFamily": "latin",
"languages": [],
"major": "Aptos Display",
"minor": "Aptos",
"textSample": "Modern clean design",
"type": "sans-serif",
"description": "Aptos is a sans serif OPF font scheme for Latin presentations, using Aptos Display for headings with Aptos for body text."
}
},
"layouts": {
"cover": {
"name": "Cover",
"summary": "The opening slide: title, subtitle and an optional picture.",
"tags": [
"Openers and closers"
],
"design": {
"titleAlignment": "center",
"contentAlignment": "center"
},
"direction": "row",
"regions": [
{
"name": "title"
},
{
"name": "media",
"accepts": [
"image",
"video"
],
"role": "media",
"flow": "none",
"bleed": true
}
],
"description": "Open a presentation with its subject and a short introduction. Add a picture when it helps establish the context.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/cover.svg"
}
},
"text": {
"name": "Text",
"summary": "Prose. Several blocks sit side by side when short and stack when long.",
"tags": [
"Text"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "body",
"accepts": [
"text",
"list",
"quote",
"code",
"group"
],
"role": "primary",
"flow": "auto"
}
],
"description": "Explain one idea in continuous prose. Use paragraphs or flowing blocks for detail that needs to be read in sequence.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/text.svg"
}
},
"chart": {
"name": "Chart",
"summary": "One to six charts, with an optional note.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "charts",
"accepts": [
"chart",
"group"
],
"role": "primary",
"flow": "grid"
},
{
"name": "note",
"size": "auto",
"accepts": [
"text"
],
"role": "supporting",
"flow": "none"
}
],
"description": "Give a chart enough space to show its evidence. Use the title to state the conclusion and labels to explain the measures.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/chart.svg"
}
},
"table-beside": {
"name": "Table beside",
"summary": "A table with commentary beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "table",
"size": 3,
"accepts": [
"table"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list",
"metric",
"quote"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Place a table beside its interpretation. Use the supporting text to explain the conclusion without repeating every cell.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/table-beside.svg"
}
},
"timeline": {
"name": "Timeline",
"summary": "Dated events or a roadmap along one axis, with optional notes.",
"tags": [
"Groups of items"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "timeline",
"accepts": [
"timeline"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": "auto",
"accepts": [
"text",
"list",
"metric"
],
"role": "supporting",
"flow": "auto"
}
],
"description": "Show events or milestones in chronological order. Label each item with a date or stage and a concise description.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/timeline.svg"
}
},
"chart-beside": {
"name": "Chart beside",
"summary": "A chart with the takeaway beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "chart",
"size": 3,
"accepts": [
"chart"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list",
"metric",
"quote",
"chart"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Pair a chart with an explanation of its result. Keep the text focused on the pattern or decision supported by the data.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/chart-beside.svg"
}
},
"image-beside": {
"name": "Image beside",
"summary": "A picture or video beside text.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "media",
"accepts": [
"image",
"video"
],
"role": "media",
"flow": "none",
"anchor": "middle"
},
{
"name": "body",
"accepts": [
"text",
"list",
"metric",
"quote",
"group"
],
"role": "primary",
"flow": "auto",
"anchor": "middle"
}
]
}
],
"description": "Explain a visual alongside its supporting text. Use the text to direct attention to the meaningful parts of the image.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/image-beside.svg"
},
"design": {
"imageFit": "contain"
}
},
"code": {
"name": "Code",
"summary": "Source code with the explanation beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "code",
"size": 3,
"accepts": [
"code"
],
"role": "primary",
"flow": "column"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Show a code example or technical excerpt. Keep the excerpt focused and use the title or caption to explain its purpose.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/code.svg"
}
},
"list": {
"name": "List",
"summary": "Bulleted or numbered points; one long list flows into columns.",
"tags": [
"Text"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "body",
"accepts": [
"list",
"text",
"group"
],
"role": "primary",
"flow": "auto",
"listColumns": "auto"
}
],
"description": "Present several related points in a clear sequence. Use bullets for independent points or numbered items for an ordered list.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/list.svg"
}
}
}
}
}
}