NODATA Summer Camp 2020

Get ready!

Every week, get BI insights by joining our 20-min webinar sessions this Summer. Our aim is for you to acquire knowledge on data monitoring, modelling and management from experts who have many years of experience in the field, enabling companies to leverage data.

NODATA Summer Camp 2020

These brief webinar sessions are designed so that you can join us during your
coffee break to be more productive and learn interesting trending facts about data
before getting back to work with a deeper understanding and knowledge of data.


Track - Monitoring 

1. Understanding data flow within a large organization

Wednesday 05th of August 2020 at 11:00 (CEST)

With the complexity and diversity of software nowadays, data collection process and business process grow parallel to the size of the organization, and this can be daunting.
However, we can proceed to a global cartography of how data processing is scheduled in these contexts.

2. Business impacts of data availability

Wednesday 12th of August 2020 at 11:00 (CEST)

When your business response time becomes critical, being able to rely on the latest data point, as well as the recency of your insight, and running your Analytic Models on the closest photography possible don’t seem to be extraneous anymore.

Track - Data Model / Data management 

3. Data models and teamwork

Wednesday 19th of August 2020 at 11:00 (CEST)

It is essential to keep in mind the constantly evolving world of data when designing your data storage, it will need flexibility in the design. Because of its utmost importance and complexity, it’s more often than not a team effort.
However which workflow should a team use when it comes to collaborating on data models ?

4. Maintaining the truth of your model documentation

Wednesday 26th of August 2020 at 11:00 (CEST)

When the reality of production environnements forces you to act swiftly on your model, a general impact we can notice is that your documentation is going to lag being; or in some cases never being up to date.
Find out how you can ensure a prefect reflection of production state in your documentation.

Data Model Data Management