VENDORiQ: Google Launches Looker Modeler

Why It’s Important

Looker Modeler’s aim to establish a single source of truth is a significant step in combating the prevalent issue of inconsistent metrics. The concept is similar to data catalogues, though the focus is less on managing and exposing data on more on creating a common semantic (i.e. business language) to make accessing data more uniform. Microsoft’s Dataverse and Snowflake’s Snowpark are similar concepts. 

The trend for data management is towards services that ‘wrap’ different data sources into a semantic business layer and make the data usable within an organisation’s ICT ecosystem. It is part of the broader low-code everything trend that is enabling the fourth-wave of ICT. In the near term, Looker Modeler and similar services can streamline data management by eliminating conflicting definitions and outdated data extracts. The ability to create consistent metrics could enhance operational efficiency and foster a data culture anchored in trust and reliability.

Who’s Impacted

• Data governance/business intelligence teams

What’s Next?

• Organisations should consider evaluating their current data management strategies in light of the trend towards semantic data access services. 
• Allow enough time for users to get comfortable with data management solutions. As they build trust, they will learn to offer recommendations on what other governance and controls may be needed, and what services would best meet their needs.

Related IBRS Advisory

1. Untangling Knots Of Knowledge With Semantic Modelling

2. The Value Of Enterprise Data Management: Misconceptions

3. VENDORiQ: Snowflakes New Services Flip The Analytics Model

4. Power Apps Use Cases and the Role of the Dataverse