Why your organization needs a centralized data model | Webinar | Dataform

Why your organization needs a centralized data model

We'll discuss best practices to keep in mind when building your data model, why Modern are moving away from traditional data modeling methods in favour of a more Agile approach and how to build a data model for a B2B sales cycle.

saadat-modern-2dan-dataform

Summary

Typical organisations have hundreds of data sources. This level of complexity (often handled by teams of only a handful of data analysts) can seem unmanageable at first. Each time a new question comes along, the analyst would need to work out which source datasets are relevant, write a query involving many joins, think about how to map different data sources together, and much more.

But this is not what modern data teams do. Instead, they create simplified datasets on top of the source data, expressly designed to help them answer typical business questions quickly. These tables are called data models. Data models can help modern data teams respond more quickly to requests, improve the quality of their data and help knowledge be shared from one person to another.

Modern are a data consultancy who aim to help their clients accelerate the process to building data driven cultures. A big part of what they do is building a centralized data model for their clients.

Agenda

Dan Lee (Head of Data @ Dataform):

  • The benefits of building a centralised data model.
  • Data modeling principles and best practices.
  • Example: How to build a data model for marketing attrbution

Saadat Qadri (Founder of Modern Data Sciences):

  • How data modelling fits into a typical Modern project

  • Why Modern are moving away from traditional data modeling methods in favour of a more Agile approach

  • Example: How to build a data model for a B2B sales cycle and the important questions you should be asking stakeholders beforehand.

  • Q&A