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Explorations",null,{"type":255,"value":256,"toc":370},"minimark",[257,261,265,281,286,297,304,309,313,316,344,355,359,363],[258,259,252],"h1",{"id":260},"intro-to-lenses-explorations",[262,263,264],"p",{},"You built a dataset. It's sitting in Analytics Studio, compressed and indexed and ready. Now what?",[262,266,267,268,272,273,276,277,280],{},"Now you ",[269,270,271],"strong",{},"explore"," it. In CRM Analytics (Tableau CRM \u002F Einstein Analytics), the tool you use to interrogate a single dataset is a ",[269,274,275],{},"lens"," — and the workspace it opens in is called ",[269,278,279],{},"Explorer mode",". It is the fastest feedback loop on the platform: click a field, get a chart, change your mind, click again. No saving, no building, no configuration. Just questions and answers.",[282,283,285],"h2",{"id":284},"so-what-actually-is-a-lens","So what actually is a lens?",[262,287,288,289,292,293,296],{},"A lens is ",[269,290,291],{},"one query against one dataset, plus the visualization of its result",". That's it. When you open a dataset from Analytics Studio, you are automatically in a lens — an unsaved one, showing you the most boring possible query: ",[269,294,295],{},"count of rows",", all of them, as a single number.",[262,298,299,300,303],{},"Everything you do from there is refining that query. Swap the measure. Group by a dimension. Add a filter. Sort it. Limit it to the top ten. Each click rewrites the underlying ",[269,301,302],{},"SAQL"," query and re-runs it against the dataset.",[305,306],"lesson-cards",{":columns":307,":items":308},"3","[{\"title\":\"One dataset\",\"icon\":\"i-lucide-database\",\"description\":\"A lens explores exactly one dataset. Blending multiple datasets on a single chart is a dashboard job, not a lens job.\"},{\"title\":\"One query\",\"icon\":\"i-lucide-terminal\",\"description\":\"Every click in the UI is building a SAQL query. You can open it, read it, and edit it by hand at any point.\"},{\"title\":\"Save it or don't\",\"icon\":\"i-lucide-bookmark\",\"description\":\"Save a lens when the question is worth keeping, or clip it straight onto a dashboard. Most explorations are throwaway — and that's fine.\"}]",[282,310,312],{"id":311},"why-explorations-matter-more-than-they-look","Why explorations matter more than they look",[262,314,315],{},"New builders often skip past lenses to get to dashboards, and it costs them. Explorer mode is where you:",[317,318,319,326,332,338],"ul",{},[320,321,322,325],"li",{},[269,323,324],{},"Validate a dataset."," Did the join inflate your amounts? Group by account and look. Ten seconds.",[320,327,328,331],{},[269,329,330],{},"Answer an ad-hoc question."," Someone in a meeting asks which industry closed the most last quarter. You don't need a dashboard for that.",[320,333,334,337],{},[269,335,336],{},"Prototype a dashboard chart."," Build the query in a lens, get it right, then clip it to a dashboard fully formed.",[320,339,340,343],{},[269,341,342],{},"Learn SAQL."," Build a query by clicking, then read what the platform wrote. It's the best SAQL tutorial there is.",[345,346,348],"tip",{"icon":347},"i-lucide-lightbulb",[262,349,350,351,354],{},"Treat Explorer mode as your ",[269,352,353],{},"scratchpad",". The cost of a wrong turn is one click of undo. Builders who explore fluently produce better dashboards, because they already know what the data looks like before they start designing.",[282,356,358],{"id":357},"whats-ahead-in-this-section","What's ahead in this section",[360,361],"lesson-steps",{":items":362},"[{\"title\":\"The Analytics tab and apps\",\"description\":\"Put Analytics Studio inside the Lightning app your users already live in, create an app to hold your work, and understand how the Share button controls who sees what.\"},{\"title\":\"Explorer mode basics\",\"description\":\"Measures, groupings, trellis, undo\u002Fredo and history, query limits, and filters — the core moves you'll use every single day.\"},{\"title\":\"Chart, table, and SAQL modes\",\"description\":\"The three ways a lens can show its result, and when each one is the right tool for the job.\"},{\"title\":\"Editing fields and metadata\",\"description\":\"Relabel dimensions, assign fixed colors to values, and format measures as currency — changes that apply to the dataset everywhere.\"},{\"title\":\"Conversational Analytics\",\"description\":\"Ask for a chart in plain English and let the platform write the query for you.\"}]",[262,364,365,366,369],{},"By the end you'll be able to open any dataset and get to a defensible answer in under a minute — and know exactly which SAQL that answer was built on. Let's start where every user starts: ",[269,367,368],{},"getting to Analytics in the first place",".",{"title":371,"searchDepth":372,"depth":373,"links":374},"",1,2,[375,376,377],{"id":284,"depth":373,"text":285},{"id":311,"depth":373,"text":312},{"id":357,"depth":373,"text":358},"A lens is a saved exploration of a single dataset — the place you actually ask questions of your data in CRM Analytics. Learn what Explorer mode is, how apps and sharing frame it, and what this section covers.","md",{},{"title":135},{"title":252,"description":378},"kUh-F_wTbfFAvSC--rUzvuIcBnsRpcA_2bKETfjzGnk",[385,387],{"title":49,"path":126,"stem":127,"description":386,"children":-1},"Rehearse common CRM Analytics dataset interview questions — what a dataset is, grain, lookups vs joins, Dataset Builder vs recipes, the sync layer, and combining datasets.",{"title":137,"path":138,"stem":139,"description":388,"children":-1},"Add the Analytics tab to a Lightning app so users reach Analytics Studio without switching apps, create a blank app to organize your work, and use the Share button to control who can see your dashboards, lenses, and datasets.",[],1786788910613]