Why should you use (or purchase) a separate analytics platform to analyze Tallyfy data?
A lot of people ask us about analytics and reporting. It's very important to understand the pros and cons of a vendor like us supplying you with analytics.
We believe it's a bad idea for us (Tallyfy) to provide advanced analytics or reporting features to you - the customer.
Please read the 4 reasons below on why. The benefits stated below accrue to you, the customer - not to us.
1. Analytics already exists in dedicated tools
People who are serious about analytics use/invest in Tableau, Microsoft PowerBI, Looker, SAP Hana, Google Data Studio, etc. These are platforms that only do analytics and they're very good at it.
At Tallyfy - what we do is supply data to your existing analytics and reporting platform (which you paid good money for!) so that you can have full control and full customization capabilities for your analytics.
We believe this is the best decision for us (to specialize) and for you - to avoid vendor lock-in and be stuck with a limited feature set that you will not be satisfied with. It's much smarter to get Tallyfy data in an open format and separately use your favorite analytics platform to draw insights/query it.
2. A single vendor will never satisfy needs
See point (1), but to add to it - it's important to see that you will always need full, robust customization of your analytics with a depth and breadth of features. Only dedicated analytics tools can offer you that.
Don't check the box "this vendor has analytics" and make a decision off that - since your needs will keep changing, and the workflow vendor will never be able to get you exactly what you want.
Everyone's dashboard is different. Everyone's idea of "which KPI to watch" is different. Every graph has options, types and special needs.
3. The best insights are from multiple sources
It would be a huge mistake to buy a product simply because it "has native analytics". Since most people use multiple apps and platforms, you need a dedicated analytics tool to combine the data from those various platforms.
For example - your client/customer/patient data needs to cross-link to your workflow/process data - which might need to also cross-link to your ERP to make sense in terms of the amazing value you could gain from multi-source analytics.
You would never be able to do that with just a single vendor supplying analytics because they alone cannot ingest other data sources.
4. Data portability is far more important
Most dedicated analytics platforms let you integrate a data lake from various sources and integrate, mash, filter, pivot and do a ton of other things with multiple data sources.
That's a capability you could never have if you relied on analytics from a single vendor - and in particular, the question "can I get my data out easily" is much more important than "do you have analytics?".
When your data is free and easy to export/sync in real-time - your data scientists, machine learning experts and business analysts can do much more with it and you can gain massively more value from it.
Please take a look at this article for sample Tableau visuals.
How exactly does it work?
Please take a look at this article.