RightData is a unified, no-code data management and governance platform that empowers organizations to seamlessly build, validate, govern, and productize data.
Here's the uncomfortable truth:
Data teams have spent the last decade optimizing for speed and scale.
Faster pipelines. More data. More dashboards.
Nobody optimized for trust.
And now the business has more data than ever and less confidence in it than ever!
How do schema & logic changes make it to production?
Because the contract between your source systems and your pipelines is invisible.
Nobody formally defined:
����What values are valid in this column?
💠What's the acceptable null rate?
💠How many rows should this table have today vs yesterday?
💠Who owns this field?
No contract = no way to know when the contract is broken!!
What the best data teams do differently:
They treat data like software.
Software has unit tests. Data should have validation rules. Software has regression tests. Data should have reconciliation checks. Software has CI/CD gates. Data should have quality gates before it hits production.
See how RightData helps the best data teams: https://t.co/cgYYjfeqVC
Most data teams monitor one thing: pipeline health.
Did it run? Did it finish? Did it error out?
That's infrastructure monitoring. Not data monitoring!
A pipeline can run perfectly and deliver completely wrong data. Every. Single. Time.
RightData runs augmented data quality checks across your pipelines and tells you exactly what breaks before your AI does.
🔗See how it works: https://t.co/cgYYjfdT64
What % of your critical fields are populated?
A 5% null rate in a customer_id column sounds small.
Run it through 6 months of training data and you've just taught your model that 1 in 20 customers doesn't exist.
Completeness isn't optional. It's structural.
"AI-ready" doesn't mean you have a data warehouse. It doesn't mean you're on Snowflake or Databricks.
It means your data is accurate, complete, consistent, fresh, and traceable - all at once.
Most orgs are 2 out of 5. That's not AI-ready. That's AI-risk.
See it in action: https://t.co/cgYYjfeqVC
Companies are now harnessing the power of decision intelligence, but why? Find out what the decision model is and how your business can benefit from it by reading our blog today: https://t.co/89Laq1rrXE #decisionintelligence
In one week, we will be attending the @awscloud Summit Chicago. As a Silver Sponsor of the event, our team looks forward to seeing the keynote, walking the expo, and connecting with fellow experts.
Register for the event: https://t.co/JPRRlWPl5z
#AWS#AWSSummit
The leading data and analytics conference, @TDWI San Diego, is less than a week away! We will be located at booth #309, where you can see Data Mesh and Data Lakehouses in action. Register with our code rightdata15 for 15%: https://t.co/Fyu2bzY0NV
#TDWISanDiego#TDWI
RightData is proud to be a bronze sponsor of the @databricks Data + AI Summit 2022. Visit us during the event to learn more about our solutions at booth #746.
#DataAISummit
Great to be with @GetRightdata, CEO and his RightData team at the TAG Summit & congratulations on being selected a Top 40 Innovative Company in Georgia! My Morris, Manning & Martin, LLP colleagues & I are proud to be working with you. https://t.co/QgJWazCQh2
💯 RightData automates BI/report testing and connects you to the analytics software of your choice, from PowerBI, Tableau, Looker, SAP Bex Analyser, SAP Business Objects reports, Cognos Analytics and more, so you can better identify the root causes of data issues before busin ...
"Information is the oil of the 21st century, and analytics is the combustion engine." – Peter Sondergaard
Get Your Data Right with Insight in Sight https://t.co/d4NwFhmLAL
#dataquality#devops#dataops
The divide between data leaders and data laggards is widening. Here are 6 trends in data, analytics, and artificial intelligence that can help data leaders navigate this rapidly changing landscape. ➡️ https://t.co/RDWfyzMEKu
#dataquality#devops#dataops#datamanagement
Building and improving a DevOps culture requires a special kind of leader. To help you cultivate a strong DevOps culture and improve leadership, here are the 5 habits of high-performing DevOps leaders. 👉���� https://t.co/3IvymeQkAG
#dataquality #devops #dataops