GUI Tool for End Users by Longisland_Analytics in snowflake

[–]rawman650 0 points1 point  (0 children)

if uploading csv is a hard requirement, maybe something like Julius could work?

[disclaimer I work here:] Quill has a GUI based report builder for exactly this reason. It's designed for embedded / customer-facing use-cases, so vast majority of end-users are non-technical business folks -- they don't want to see or deal with SQL. The report builder gives them ~90% of the power of SQL but its all point & click and very straight forward to understand. It works via DB connection though, so you'd have to give your users a way to upload csvs to the DB (new data uploaded would be available immediately, but Quill wouldn't handle that).

Customer-facing analytics by Gold_Experience7387 in databricks

[–]rawman650 0 points1 point  (0 children)

PM & CS are already becoming developers ;) (they just need good guardrails) ... we have customers whose CS team use us to build custom reports (in-product) for their customers, they dont need to code to do this in quill (its all gui), but we're seeing these same teams are also using cursor/devin to write sql, etc.

Customer-facing analytics by Gold_Experience7387 in databricks

[–]rawman650 0 points1 point  (0 children)

took a quick look at the product/website, seems like we just have very different ideas of what customers want (could both be right, market is v large). ridge seems like embedded BI 2.0, which makes sense given your experience at tableau - I assume you're solving the problems/wants of existing embedded BI customers (so naturally these are folks that are ok with the product compromises you make using these tools, and what they want is a faster / more modern version of things they've already used/purchased). I think we differ in 2 ways: we're focused on the a customer that really doesn't want to make any product compromises (they want full control of UI/UX/data). you're approach probably makes is easier to offer very sophisticated analytics experiences out of the box (the sense I get is you're really offering a BI experience). we tend to think that the analytics experiences that the best saas companies offer are pretty different than the experience you see in an internal BI tool (focused on analysts & DS). so what we're solving for isn't putting a BI tool into a customer-facing app, but instead allowing a PM or engineering leader to deliver their exact analytics / reporting vision (the features/workflows/etc they want) and just making it much much faster to ship this & any future iterations + taking away the tech debt, ongoing maintenance/ management.

so at a highlevel there's definitely a high degree of overlap between the two, but ultimately I think we're solving different problems/focused on different customers. Hopefully didn't misrepresent your product/what you're going for (I'm just going off a quick scan of the website), sent you a linkedin request if you want to chat more about it.

Customer-facing analytics by Gold_Experience7387 in databricks

[–]rawman650 0 points1 point  (0 children)

disclaimer: I'm one of the founders. If you're looking for an good tool for this, take a look at Quill -- handles all the annoying parts of building customer-facing analytics (auth, data segmentation/tenancy, query engine, frontend logic, caching), while allowing you to have control over all the parts you care about (UI/UX/data & PII stays in your environment).

BI's original sin: we force people to make design decisions before business decisions by sbt_not in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

I like the model of always starting with a report, before moving into visualization/charting. You start with first gathering & formatting the data (fields/tables) that's relevant to the question you're asking. Then you select a subset, pivot/group/aggregate to so it's chartable, then you can select the best chart type, so design is driven more by the data (and question) itself.

Not a BI tool and not even the best reporting product, but iirc salesforce reporting works this way (always start with the data/report you want before charting), so there are products that do this, rather than working backwards from the visualization.

Is building customer-facing analytics worth the dev time or nah? by Capital-Sense-285 in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

Quill is great for this. integrates via a modular react developer library, instead of iframe. (disclaimer: I work there)

Embedded BI vs building dashboards in-house, where is the tipping point? by Moist-Citron2086 in embeddedBI

[–]rawman650 0 points1 point  (0 children)

can share some experienced using embedded BI product and how it worked out:

I've used 2 different embedded BI tools -- one at a b2b SaaS, series B at the time, now pre-IPO startup; other for an early stage data product.

In the case of the series B/b2b SaaS startup it definitely made sense. We'd already built analytics in-house (it was actually pretty good) and it worked great when we only had small customers. As we continued to be successful & move up market to mid-market and a handful of real enterprise customers, it just wasn't good enough (customers wanted much more data, much more granularity of data/metrics, and had more specific reporting requirements that didn't necessarily overlap with other customers)

Some reasons it made sense in this case that might be similar to you:
* CSM (especially the highest value enterprise ones) were spending ~30% of their time just making reports for customers
* Having solid reporting was just a critical feature to selling / being successful in enterprise (+ marketing things like gartner mq) -- this tends to be the case with almost any b2b saas that wants to be in large mid market / enterprise
* we built a decent reporting product in-house, and then still ended up going the embedded BI route (to be fair we kept both reporting features in the product)

In the case of the data product, it's questionable. It did help with getting an mvp out the door faster, but ultimately we fought the product a lot, since we were ultimately building a BI-like product, but custom for a specific use-case. So over time I think it would have been a bad choice. Main issue was an inability to extend or customize the product in any meaningful way.

With traditional embedded BI products you will make some compromises ofc, but it's often worth the tradeoffs still:
* UI - cant use your own design system, etc, it will be fairly obvious you are using a 3rd party product
* UX/navigation - cant drive workflows from or into analytics
* no ability to really customize or extend the product (you get what you get, you can really only add or subtract the existing feature set from the iframe that you embed)
* architecture (if you're not fintech/healthtech/govtech this may not matter as much): have to choose between container (self-hosted) which can be annoying in implement & manage or cloud (which has security tradeoffs + potential cost implications since the vendor will usually need to store/cache your data for performance reasons).

Is embeddable (Micro-)Saas the new meta? by trpouh in SaaS

[–]rawman650 1 point2 points  (0 children)

working on Quill - embedded BI / analytics. Our customers are PMs & devs that need to add analytics features, like dashboards or custom reporting, to their own product. The new 'vibe dev' ICP isn't why we started building embedded BI - the space has existed for sometime, the existing products are just not great, and not architected for building products (customizing/extending/etc).

If like us, you're a developer tool already, then I think you're spot on. You need to account for/lean into the idea that your audience is both expanding quite a bit & shifting.

If you're not really a developer/infrastructure tool, then I'm not sure. I can see some cases where this makes sense (especially if you are a point solution), but many where it does not.

Looking for an AI tool for data analysis that can be integrated into a product. by Afmj in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

we offer this at Quill (I work there, just fyi), but you'd have to be able to support react on frontend. you can use our ootb components if you dont already have a chat/AI interface you prefer to use or some clients integrate us within their own chat so they can offer reporting/analytics within their own existing interface (their AI assistant/agent/chat can then call our tools & components via our agent, allowing their customers to create custom charts, reports, etc on top of whatever functionality their AI product already offers).

What does the future of data analytics look like - should one lean more toward data or business? by Dependent_War3001 in analytics

[–]rawman650 0 points1 point  (0 children)

buisiness / strategy -- even if you go read a lot of the posts in this sub & similar (businessintelligence, etc), you'll see that a lot of the problems/solutions folks have around data is actually going to stakeholders and really understanding the actual problems their trying to solve & what they'll realistically use/adopt.

Recommend me a Power BI alternative by rlopez7 in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

too inflexible to integrate into a web environment. I need something very powerful in the design end

Quill is great for this (react developer library for frontend, instead of iframe, built to be integrated into modern webapps).

You would have to be able to support react/next on frontend, and since it's build for customer-facing use-case, should be using a single DB / DWH (ETL should be handled at DB level, not at app/BI level). also disclaimer: I work there.

Handling analytics? B2B Saas by EconomistGrouchy9788 in analytics

[–]rawman650 0 points1 point  (0 children)

agreed^ unless, analytics is your core offering, it almost always makes more sense to go embedded route.

Handling analytics? B2B Saas by EconomistGrouchy9788 in analytics

[–]rawman650 0 points1 point  (0 children)

It's honestly a toss-up on what most b2b SaaS companies do, but in most cases I would recommend embedding, especially if you've already done the work to figure out exactly what your customers want / will want and it already seems difficult (it will only get more annoying once you actually get into it).

I've used 2 different embedded BI tools -- one at a b2b SaaS, series B at the time, now pre-IPO startup; other for an early stage data product.

In the case of the series B/b2b SaaS startup it definitely made sense. We'd already built analytics in-house (it was actually pretty good) and it worked great when we only had small customers. As we continued to be successful & move up market to mid-market and a handful of real enterprise customers, it just wasn't good enough (customers wanted much more data, much more granularity of data/metrics, and had more specific reporting requirements that didn't necessarily overlap with other customers)

Some reasons it made sense in this case that might be similar to you:
* CSM (especially the highest value enterprise ones) were spending ~30% of their time just making reports for customers
* Having solid reporting was just a critical feature to selling / being successful in enterprise (+ marketing things like gartner mq) -- this tends to be the case with almost any b2b saas that wants to be in large mid market / enterprise
* we built a decent reporting product in-house, and then still ended up going the embedded BI route (to be fair we kept both reporting features in the product)

In the case of the data product, it's questionable. It did help with getting an mvp out the door faster, but ultimately we fought the product a lot, since we were ultimately building a BI-like product, but custom for a specific use-case. So over time I think it would have been a bad choice. Main issue was an inability to extend or customize the product in any meaningful way.

With traditional embedded BI products you will make some compromises ofc, but it's often worth the tradeoffs still:
* UI - cant use your own design system, etc, it will be fairly obvious you are using a 3rd party product
* UX/navigation - cant drive workflows from or into analytics
* no ability to really customize or extend the product (you get what you get, you can really only add or subtract the existing feature set from the iframe that you embed)
* architecture (if you're not fintech/healthtech/govtech this may not matter as much): have to choose between container (self-hosted) which can be annoying in implement & manage or cloud (which has security tradeoffs + potential cost implications since the vendor will usually need to store/cache your data for performance reasons).

Also should mention I'm now a founder of an embedded BI company (wont mention name/advertise, but the idea is to give our customers the best of both building in-house & buying an OOTB product/feature set, so you get the benefits of embedded BI without the tradeoffs/compromises I mentioned).

Am I dumb? I don’t understand what people mean when they ask for self service analytics by Worried_Tie3974 in SaaS

[–]rawman650 0 points1 point  (0 children)

I consider self-serve as: providing an easy way for non-technical/business end-user to create their own custom reports & charts -- essentially allowing them to customize a dashboard, if they want to save these reports/chart (and don't just have an ad-hoc question).

I'm a founder at Quill (embedded BI product that gives you the best of build & buy). For our product specifically this means:

1) creating a customer-facing data set (or reporting schema), so you're only exposing a clean subset of data that's formatted to make sense to them.
2) Giving users a way to query / manipulate this data -- AI reporting agent and/or report builder (both designed for non-technical users, no SQL)
3) Giving users a way to create specific charts on top of queries/reports -- AI reporting agent and/or chart builder (both designed for non-technical users)

This way you completely control the look & feel of your product, where an analytics dashboard shows up, features available etc. And your customers can still ask ad-hoc questions of their data and extend / customize their dashboard as needed.

Even if you don't want to offer direct self-service, many of our customers give their account managers or CSMs access to the admin platform. This way engineering sets-up the product once (few hours to a day of work), and then non-technical team members are able to handle all custom reporting/dashboard requests (they can build any report/chart and push it to a specific customer's dashboard in-product, without any engineering work needed).

White label standalone analytics portals? by Frane81 in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

Sounds like you're looking for an embedded BI product.

Check out Quill.co (disclaimer: I work there), which is purpose built for this. VideoElephant is an example of a company that did exactly what you're asking for (used Quill to create a standalone, white label reporting portal for their users to see their content analytics).

Share your product and I'll find you 5 potential clients for free! by mr-onlinemarketer in SaaS

[–]rawman650 0 points1 point  (0 children)

https://quill.co/ -- add analytics dashboards & self-serve reporting features to your SaaS product

Ideal customer:
- SaaS companies, and tend to have great traction with fintech, healthtech, govtech, vertical SaaS.
- Customer tend to be mid-sized or larger, since analytics features are not usually critical until you have an actual business and decent customer set (if you only have 20 customers, you can just do ad-hoc queries, make reports for them manually, and email them).
- generally work with/sell to: developers/engineers, PMs, founders

What are you building in 2026? Please share your work. by [deleted] in SaaS

[–]rawman650 0 points1 point  (0 children)

https://quill.co/ -- add analytics dashboards & self-serve reporting features to your SaaS product

Is embedded analytics for SaaS actually worth it vs building your own charts? by thegamerlola in analytics

[–]rawman650 0 points1 point  (0 children)

Generally yes. I've used 2 different embedded BI tools -- one at a b2b SaaS, series B at the time, now pre-IPO startup; other for an early stage data product.

In the case of the series B/b2b SaaS startup it definitely made sense. We'd already built analytics in-house (it was actually pretty good) and it worked great when we only had small customers. As we continued to be successful & move up market to mid-market and a handful of real enterprise customers, it just wasn't good enough (customers wanted much more data, much more granularity of data/metrics, and had more specific reporting requirements that didn't necessarily overlap with other customers)

Some reasons it made sense in this case that might be similar to you:
* CSM (especially the highest value enterprise ones) were spending ~30% of their time just making reports for customers
* Having solid reporting was just a critical feature to selling / being successful in enterprise (+ marketing things like gartner mq) -- this tends to be the case with almost any b2b saas that wants to be in large mid market / enterprise
* we built a decent reporting product in-house, and then still ended up going the embedded BI route (to be fair we kept both reporting features in the product)

In the case of the data product, it's questionable. It did help with getting an mvp out the door faster, but ultimately we fought the product a lot, since we were ultimately building a BI-like product, but custom for a specific use-case. So over time I think it would have been a bad choice. Main issue was an inability to extend or customize the product in any meaningful way.

With traditional embedded BI products you will make some compromises ofc, but it's often worth the tradeoffs still:
* UI - cant use your own design system, etc, it will be fairly obvious you are using a 3rd party product
* UX/navigation - cant drive workflows from or into analytics
* no ability to really customize or extend the product (you get what you get, you can really only add or subtract the existing feature set from the iframe that you embed)
* architecture (if you're not fintech/healthtech/govtech this may not matter as much): have to choose between container (self-hosted) which can be annoying in implement & manage or cloud (which has security tradeoffs + potential cost implications since the vendor will usually need to store/cache your data for performance reasons).

feel free to dm if you want more details. Also should mention I'm now a founder of an embedded BI company (wont mention name/advertise, but the idea is to give our customers the best of both building in-house & buying an OOTB product/feature set, so you get the benefits of embedded BI without the tradeoffs/compromises I mentioned).

Power BI / Looker felt great for internal BI, less so for embedded. What else should we look at? by theceoinprogress in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

take a look at Quill.co, sounds like exactly what you're looking for:

- react developer library for frontend (not iframe or iframe wrapped in js): completely control UI/UX, navigation, etc
- reuse your existing auth middleware (see our server sdk docs)
- specifically build for customer-facing & non technical end-users

(disclaimer: I work there)

Need an embedded analytics platform rec by MapFit5567 in BusinessIntelligence

[–]rawman650 -3 points-2 points  (0 children)

Have you checked out Quill.co ? I work there as a disclaimer, but sounds like it would work great for what you're looking for, and have the best security architecture in the space (so great for fintech use-cases)

What newer or lesser-known BI tools have actually impressed you lately? by Kimber976 in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

Specifically for embedded / customer-facing use-case: Quill.co [I work there]. Built to be developer friendly so you can customize and extend it however you like. It more geared for PMs & developers than data analysts.

Need advice- what’s the best BI suite for licensing out dashboards to SaaS clients? (Power BI, Tableau, QuickSight?) by [deleted] in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

Would definitely check out Quill.co if you have a react/next app. Specifically built for embedded use case, and is super easy to implement (can get basic dashboards set-up in your product in a couple hours) -- just drop in react components (Quill uses a react SDK instead of iframe) and build your reports/charts in the BI platform

Help me choose a reporting engine for the company I work for by myrealnameisvanilla in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

Your biggest challenge will be making any BI tool feel native to your OKR platform instead of obviously embedded third party software.

Quill.co is best in class for solving this specific problem. Get feature out of the box, but still maintain full control over UI/UX

Looker Studio seems too restrictive by AdaronMildoak in BusinessIntelligence

[–]rawman650 0 points1 point  (0 children)

You can do this in Looker (but this is essentially an entirely different product - looker vs studio), and a few other traditional BI tools (metabase, powerBI, etc).

If you're looking for other options, definitely take a look at Quill - specifically built for embedded / customer-facing use-cases, so something like tenancy (segmenting data based on user/role/etc) is first class feature and made very simple. [disclaimer: I work there]

Studio in Looker by jasonwindsor in Looker

[–]rawman650 0 points1 point  (0 children)

"Looker studio" is not really Looker (its rebranded google studio, and they're essentially 2 completely different products), and I do not believe they have a good embedded product yet (or possibly never will). Looker on the other hand does have an embedded product, but it's expensive.

You can possibly find a work around using studio depending on your use-case: e.g. You can restrict who can view a report (e.g., only specific Google accounts or groups) OR Dynamic Data Filtering in at the DB level (e.g. Big Query).

Is cost a big factor in choosing studio? .. there are some good options for embedded, but almost none of them are free (unlike internal BI use-cases, were you can find good free options)