Data Modelling Archives - datagene.expert

The Foundation of Insights-Driven Data Architecture.

Leave a Comment / Data Modeling & For Analytics / By omotola Ajuwon

Reading Time: 5 mins The quality and integrity of that data are paramount. Insights-driven organizations understand that without reliable and accurate data, even the most sophisticated analytics or business intelligence tools fail to deliver value. This blog explores why data quality and integrity are essential for building an insights-driven data architecture and how businesses can …

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Data Modeling Techniques for Predictive and Prescriptive Analytics.

Leave a Comment / Data Modeling & For Analytics / By omotola Ajuwon

Reading Time: 5 mins Organizations are increasingly turning to advanced analytics to gain a competitive edge. Predictive and prescriptive analytics, powered by robust data modeling techniques, are at the forefront of this transformation. These methods help businesses forecast future outcomes and determine optimal courses of action, unlocking unprecedented value from their data. Understanding Predictive and …

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Building a Data Model That Supports Business Intelligence and Analytics.

Leave a Comment / Data Modeling & For Analytics / By omotola Ajuwon

Reading Time: 5 mins In today’s data-driven world, businesses rely heavily on actionable insights to make informed decisions. A robust data model is the foundation for effective business intelligence (BI) and analytics, enabling organizations to turn raw data into meaningful and actionable information. This blog post explores the essential elements of building a data model …

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Data Storage and Preparation with Datagene Limited

Data Storage and Compression Strategies in Physical Modeling: Mimicking Human Efficiency.

Leave a Comment / Physical Data & Data Modelling / By omotola Ajuwon

Reading Time: 5 mins Managing vast amounts of data efficiently is a core challenge in physical modeling. Interestingly, the human brain offers inspiration for addressing this challenge, showcasing remarkable efficiency in storing, retrieving, and processing information. By mimicking these biological strategies, we can improve data storage and compression in physical modeling systems. The Brain’s Approach …

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Automating Physical Data Model Generation: Tools and Techniques.

Leave a Comment / Physical Data & Data Modelling / By omotola Ajuwon

Reading Time: 5 mins Automating Physical Data Model Generation: Tools and Techniques Creating a Physical Data Model (PDM) manually can be time-consuming and prone to errors. Automation streamlines this process, ensuring speed, accuracy, and adherence to standards. Here’s a quick overview of tools and techniques to get you started. Why Automate PDM Generation? Save Time: …

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How Logical Data Modelling Supports Real-Time Data Processing in Operations.

Leave a Comment / Physical Data & Data Modelling / By omotola Ajuwon

Reading Time: 5 mins In the world of data management, two key concepts often come up during database design and optimization: logical data modelling and physical data modelling. While both are critical to building and managing effective data systems, they serve distinct purposes and operate at different stages of database development. Understanding the differences between them can help …

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How Logical Data Modelling Supports Real-Time Data Processing in Operations.

Leave a Comment / Logical Data & Modeling / By omotola Ajuwon

How Logical Data Modelling Supports Real-Time Data Processing in Operations. Read More »

Logical Data Modelling vs. Physical Data Modelling: What’s the Difference in Operations?

Leave a Comment / Logical Data & Modeling / By omotola Ajuwon

Logical Data Modelling vs. Physical Data Modelling: What’s the Difference in Operations? Read More »

The Benefits of Using Logical Data Models in Operational Data Management.

Leave a Comment / Logical Data & Modeling / By omotola Ajuwon

Reading Time: 5 mins In today’s data-driven world, organizations are faced with the challenge of managing vast amounts of information from various sources. To effectively make use of this data, businesses must employ structured methodologies that ensure both accuracy and scalability. One such methodology that has become crucial in operational data management is the use …

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The Future of Data: Trends in Conceptual Data Modeling.

Leave a Comment / Conceptual & Data Modeling / By omotola Ajuwon

Reading Time: 5 mins As businesses continue to grow and adapt in today’s fast-paced digital world, one thing remains constant: the need for a clear, organized, and scalable structure for data. With the increasing amount of information organizations are collecting and analyzing, creating strong data models is becoming more critical than ever. Data blueprinting, especially …

The Future of Data: Trends in Conceptual Data Modeling. Read More »