Data governance and quality are critical components of a successful data strategy. Looker is a popular data analytics platform that provides a suite of data modeling capabilities to help organizations improve their data governance and quality. In this blog post, we’ll explore how Looker’s data modeling capabilities can be used to improve data governance and quality with concrete examples.
- Centralize Data Management:
Looker’s data modeling capabilities enable organizations to centralize data management, making it easier to manage and maintain data quality. For example, instead of having multiple spreadsheets and databases, you can create a single source of truth for your data using Looker’s data modeling capabilities.
For example, let’s say you have sales data in different spreadsheets and databases. You can use Looker’s data modeling capabilities to create a single, centralized view of the data. This view can be used by multiple departments, ensuring that everyone is working with the same data. This reduces the risk of errors and improves the overall quality of the data.
- Enhance Data Accuracy:
Looker’s data modeling capabilities allow organizations to validate data accuracy by automatically checking data against predefined rules and standards. For example, you can use Looker’s data modeling capabilities to set up a rule that validates the format of email addresses. If any email addresses are entered incorrectly, Looker will automatically flag them, allowing you to correct them.
For example, let’s say you have a customer database that includes email addresses. You can use Looker’s data modeling capabilities to validate the format of the email addresses. If any email addresses are entered incorrectly, Looker will automatically flag them, ensuring that the data is accurate.
- Streamline Data Collaboration:
Looker’s data modeling capabilities make it easier for teams to collaborate on data projects. You can create a shared workspace where multiple users can access, analyze and share data. For example, you can use Looker’s data modeling capabilities to create a dashboard that displays sales data. The dashboard can be accessed by multiple departments, improving communication and reducing the risk of data duplication.
For example, let’s say you have a sales team that needs to collaborate on a project. You can use Looker’s data modeling capabilities to create a dashboard that displays sales data. The dashboard can be accessed by multiple members of the sales team, allowing them to work together on the project.
- Facilitate Data Security:
Looker’s data modeling capabilities help to improve data security by controlling access to sensitive data. You can restrict access to data based on user roles, and implement security measures to ensure data is kept safe. For example, you can use Looker’s data modeling capabilities to restrict access to sensitive data to only authorized users.
For example, let’s say you have sensitive customer data that needs to be protected. You can use Looker’s data modeling capabilities to restrict access to the data to only authorized users. This helps to ensure that the data is kept secure.
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About Me:-
I am Om Prakash Singh – Data Analytics Consultant, Looker Consultant, and Solution Architect.
I am a Highly analytical and process-oriented Data Analyst with in-depth knowledge of database types; research methodologies; and big data capture, manipulation, and visualization. Furnish insights, analytics and business intelligence used to advance opportunity identification.
You’ve got data and lots of it. If you’re like most enterprises, you’re struggling to transform massive information into actionable insights for better decision-making and increased business results.
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