Avora

Avora helps businesses make sense of their data. Centralises, analyses, detects anomalies, reveals the root cause - all with native machine learning.

[anu @anuatluru]

You need 2 types of people to keep early-stage startups from stagnating:

- someone who’ll shamelessly sell the product before it’s fully ready to be sold

- someone who’s embarrassed by this and will push to improve the product faster

[David Jayatillake ✝️ @DSJayatillake]

It’s Wednesday and time for a substack post!

This time comparing the two main approaches to metrics layers. Enjoy!

https://t.co/xHWD1ZxwjG

[Nick Handel @nick_handel]

Excited to share our first integration with @getdbt today! You can now build metrics directly on top of dbt models and enjoy lineage, freshness and soon lots more 🧑‍🍳

[David Jayatillake ✝️ @DSJayatillake]

This is @prukalpa's "I have a dream" speech.

I have a dream where metadata is managed properly and accessible and updatable in context. Where new starters can be useful in less than 3 months and we don't waste time on stale centralised docs. 🙂

[JosH100 @josh_wills]

Second principle: all technical decisions are easy until someone's fingers touch a keyboard, and then the Sunk Cost Principle comes into full effect.

By the time we had Tableau up and running, we had already built like 30+ dashboards in Mode. It was over.

[David Jayatillake ✝️ @DSJayatillake]

"The expected outcome of improving a stack — say, implementing CI/CD, adding staging environments, onboarding a new tool, hardening conventions, adopting infrastructure as code — is that over an extended period, the rate of value creation will increase." https://t.co/dJU532Tm9P

[Avora @avora]

"Human-in-the-loop AI"

Our data apps are focused in this space. https://t.co/UcfWopOKub

[JosH100 @josh_wills]

To my many friends/followers doing metadata/catalog startups, I have a request: please integrate the metadata info with my BI tool so that I can see it *while I am doing queries.*

I have no desire to *ever* visit a third website to just "browse the metadata."

[David Jayatillake ✝️ @DSJayatillake]

It’s Wednesday and time for a substack post.

This time on why many orgs struggle with data. Enjoy!

https://t.co/FfZgt6J50Q

[Avora @avora]

@nick_handel at the Metrics Store Summit today

The era of metrics stores is making it easier for more organisations to benefit from advanced analytics tooling, that can integrate with these metrics stores.

[Ricky Thomas @rickythomas888]

Just read this blog from @HightouchData about need for speed in rETL - https://t.co/znDs4hxxAd They use @RocksetCloud as the source here but most companies are still building upon slow ETL batch systems. So much value to unlock by moving the data faster with little downside

[Avora @avora]

"We know how to reason about the parts of the system that we are most familiar with, but we don’t spend as much time on the causal links and downstream impacts of changes in our metrics."

https://t.co/kVJVKQbeIn

[Avora @avora]

Our cofounder @DSJayatillake’s story on @data_weekly

[Data Engineering Weekly @data_weekly]

@data_weekly thrilled to feature @DSJayatillake's data founder story: Read the exciting journey from Joining as a Cofounder after being an Advisor
https://t.co/YtUla0Tc2b

[Avora @avora]

We’re focused on helping our customers get value from data

[David Jayatillake ✝️ @DSJayatillake]

It’s Wednesday afternoon, and time for a substack post!

This time exploring my background in the commercial side of data and how this is my basis in understanding the value of data for an organisation.

https://t.co/ohKQW2LjNl

[David Jayatillake ✝️ @DSJayatillake]

Great to be able to tell my cofounder story on @data_weekly!

[David Jayatillake ✝️ @DSJayatillake]

It’s Wednesday afternoon, and time for a substack post!

This time focused on data and analytics engineering! I’m expecting some 🌶 from software engineers who have zero tolerance of scope creep in any form 😂

https://t.co/qgttIXJaZJ

[David Jayatillake ✝️ @DSJayatillake]

"One popular AI approach, machine learning (ML), can be combined with data, a business process, and an enterprise workflow to create the context to build a system of intelligence."

⁦@jerrychen⁩
⁦@GreylockVC⁩
⁦⁦@avora⁩ https://t.co/OoTef0rDvT

[Avora @avora]

@avora is already on top of the data layer and will integrate with further metrics layers and data backends as they arise

[David Jayatillake ✝️ @DSJayatillake]

"all SaaS apps will get recreated as data apps - as apps on top of the data layer"

@martin_casado

https://t.co/yhTGtIK5k4

It's nice to be working on app that started on the data layer 😁

[David Jayatillake ✝️ @DSJayatillake]

It’s Wednesday afternoon and time for a substack post.

This time exploring the idea of a data backend, enjoy!

https://t.co/R9GCXcmDz5

[David Jayatillake ✝️ @DSJayatillake]

This is why I wanted to join @avora, we’re not building foundations any more; we’re starting to build the house.

Our products provide timely insights with context, saving our customers pounds and pence, dollars and cents.

https://t.co/Kwzym8MDMc