A Single Source of Truth (hashtag#SSoT) is critical for organizations that want to unlock the full potential of their data. But how do we get there? Let’s break it down:

𝐒𝐭𝐞𝐩 𝟏: 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐥𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 𝐚𝐧𝐝 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 🔍
➡ First, identify existing data sources, assess their quality, and understand the processes involved. Also, determine which functionalities, features, regulatory requirements, and capabilities are essential to meet your organization’s goals and stakeholder needs.

𝐒𝐭𝐞𝐩 𝟐: 𝐋𝐚𝐲𝐢𝐧𝐠 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐦𝐨𝐝𝐞𝐥𝐬 📐
➡ Secondly, the logical data model is created, which serves as the blueprint for organizing your data within the deliverable. Then the physical model is developed, which provides more granular details that represent the actual implementation.

𝐒𝐭𝐞𝐩 𝟑: 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐝𝐞𝐬𝐢𝐠𝐧 📝
➡ With the groundwork laid with all the requirements and data models, the goals need to be translated into technical requirements and the technical infrastructure.

𝐒𝐭𝐞𝐩 𝟒: 𝐁𝐮𝐢𝐥𝐝 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 🏗️
➡ After all the hard planning work, it is time to build the data pipelines that will deliver the data to the storage location. Once this step is complete, the SSoT is ready to be used by your data scientists and analysts! However, it’s important not to overlook key aspects such as data quality controls, access, pricing, and governance.

Together, we’ll unlock the full potential of your organization’s data and empower you to make informed decisions with confidence.

Our team of data engineers has helped numerous clients build and leverage a Single Source of Truth in their organization. 🎯

Curious about how they can help you do the same? Learn more here:  🔗 https://lnkd.in/ecK3Tf4e

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