Who is Incorta? How can the product team be better partners with Incorta in this journey?
Prepared and Presented by: Hichem Sellami Incorta's CoFounder.
4. Easy to Deploy
No database required
ETL and Reporting tool included
Totally Web based solution
Supports large volumes of data
Great Performance
Security integration with Source systems
Incorta Advantage
13. Challenges in Release Planning
• Our backlog is really large compared to
what we can deliver in a given release
• This product pipeline funnel is indicative
of the challenge ahead of us
• But, this is not because we are not
delivering enough in a release…..
14. 10
Customer
Commits
35
Customer
Bugs
Look at what we are delivering!
Release 4.6 in Numbers
112
Feature
Stories
31
Dev
Improvements
12
Technical
Debt
We are delivering several enhancements in an extremely tight
window, right after another major 4.5 release.
But, this will still not make a dent in our backlog!
~8 Weeks
15. So, how can we plan and execute better?
• Prioritization
• Managing customer expectations
• Laser focus on prioritizing key themes
• Break up big features into smaller chunks
• Well defined business requirements by
persona
• Writing good user stories and acceptance
criterion
• Introduce more features via Incorta Labs
• Agile, cross functional teams
• Patching framework for customer bugs
• Relentless focus on quality
• Own the experience, not just the
feature
• Empathy for the customer journey
• Knowledge sharing and education
• Pluggable frameworks like connector
SDK
• Help identify the low hanging fruits!
16. How can the product team be better
partners with you in this journey?
Hinweis der Redaktion
Osama: BI Publisher, Reliable solution, PixelPerfect reports, Great performance
OBIEE : Complex BI reports, bad performance
Broadcom: Build simple schema, and load relatively large tables
Stanford: Replace a heavy plsql procedure running on EBS
Apple: Replace heavy plsql procedures, and download 400K table to csv
We have a small team but big plans…
Incorta can compete with the likes of Snowflake and Databricks. It can reshape the BI field, but for this we need to stay true to our roots of a simple solution, but become more…
Our solution has to be a reliable solution that companies run their business on 100% of the time.
We need to double our efforts, and each one of us should feel responsible for the solution. Each each engineer needs to double as a UI designer (don’t release anything you wouldn’t put in your facebook page), a QA engineer (take the time to think how this can break, run some unit tests before shipping it to QA), and a support engineer (how is the customer going to use this? What happens if this fails, would the customer know what to do next)? QA engineers should work with Dev team by understanding how the solution works from inside, this will help in debugging