At KPDI Analytics, our introductory data service provides small businesses and startups with a simple, effective foundation for data management. Designed for smaller datasets, it captures essential data points and their relationships, offering a straightforward model without unnecessary complexity. Perfect for those beginning their data journey, this package ensures that your data is organised, accessible, and ready to support informed decisions as your business grows.

At KPDI Analytics, we believe that a strong data foundation is the key to unlocking powerful insights. Our Data Modelling & Cardinality service builds structured, scalable data models that enhance data accessibility, improve analytics performance, and support business growth. Discover how effective data modelling and optimised relationships drive reliable, data-driven decisions in our latest Pi Insights blog.

One-to-one (1:1) relationships in data modelling are relatively uncommon, as they often indicate that two tables could be combined into one. This blog explores the reasons behind the rarity of 1:1 relationships, including redundancy, efficiency, and the lack of clear data segmentation. While they can be useful for isolating sensitive information, most scenarios benefit more from one-to-many or many-to-many relationships. At KPDI Analytics, we help businesses optimise their data models for better performance and accuracy.

Parent and child tables are essential in data modelling, defining relationships that keep data organised and accessible. A parent table holds unique records, while a child table contains detailed, linked data. This blog explores how these structures work and why they’re crucial for accurate analytics. At KPDI Analytics, we help businesses design reliable data models that turn raw data into meaningful insights.

Orphaned records—entries without a matching reference—can disrupt data accuracy and mislead insights. They often occur due to data entry errors, system migrations, or a lack of referential integrity. At KPDI Analytics, we help businesses prevent orphaned records through data validation, referential integrity solutions, and seamless system integration, ensuring your data models are accurate and insights reliable.

Orphaned records can disrupt data accuracy, leading to incomplete reports and slower dashboards. Referential integrity helps by ensuring that relationships between tables remain valid, preventing orphaned records and enhancing data quality. In this post, learn how enforcing referential integrity in Tableau keeps your data consistent and insights reliable. At KPDI Analytics, we specialise in building structured, accurate data models that empower smarter business decisions.

Referential integrity is a key aspect of data modelling, ensuring that table relationships remain valid and accurate. Setting referential integrity in Tableau helps prevent orphaned records, optimise performance, and produce accurate insights. In this guide, learn when to enforce or leave referential integrity unenforced, how it impacts data aggregation, and why it’s essential for reliable reporting. At KPDI Analytics, we create efficient data models that deliver fast, actionable insights, supporting smarter business decisions.

Cardinality is a key concept in data modelling that defines relationships between tables, like one-to-many or many-to-many. Properly setting cardinality in Tableau ensures data accuracy, optimises performance, and prevents issues like duplicate records. In this guide, learn how to identify, set, and validate cardinality in your data model to unlock reliable insights. KPDI Analytics provides expertise in structuring data models that support clear, actionable analytics for smarter decision-making.

Creating a robust data model in Tableau is the key to unlocking reliable, clear insights from complex datasets. This guide covers essential steps, from structuring data sources to optimising performance, ensuring your Tableau dashboards are both accurate and efficient. At KPDI Analytics, we specialise in transforming data into a strategic asset, empowering your business with insights that drive smarter decisions.

Ever wondered why data isn’t stored in one big table? In our latest post, Pi Buddy and Pia Maven’s unique workspaces illustrate how structuring data across multiple tables brings clarity, consistency, and efficiency to data modelling. Discover how separating data into tables with relationships, like our Character and Workspace tables, keeps information organised and ready for growth in the Pi Analytics Lab. Dive in to see why this approach is essential for scalable data management!

In the Pi Analytics Lab, Pi Buddy and Pia Maven each have their own unique workspace—perfectly illustrating a one-to-one relationship in data modelling. This post dives into how assigning each character their own dedicated space, like Pi Buddy’s Insight Room and Pia Maven’s Modelling Zone, demonstrates the value of one-to-one relationships. See how this structure brings clarity and organisation to your data models, making it easy to manage and secure data by uniquely matching each entity with a single, dedicated resource.

One-to-one relationships in data modelling may not be the most common, but they offer unique advantages for security, performance, and modularity. By separating sensitive or rarely-used data, this relationship type can streamline your database, making it leaner and more efficient. At KPDI Analytics, we leverage one-to-one relationships to help businesses build secure, scalable data models that drive informed decisions. Dive into our latest insights to see how mastering these relationships can transform your database design.

In the world of data analytics, data modelling and cardinality are fundamental for transforming raw data into actionable insights. By structuring data accurately and defining relationships, businesses gain clarity from complexity, ensuring reliable, efficient, and impactful analysis. This foundation enables quicker decision-making and reveals patterns that can drive informed strategies. Without proper data modelling, valuable insights risk being buried in unstructured information. At KPDI Analytics, we specialise in designing data solutions that turn your data into a true strategic asset.

In the digital age, data is a critical asset for any business, but its true power is unlocked through efficient data models. At KPDI Analytics, we craft custom data models that transform raw data into valuable insights, enhancing performance, accuracy, and scalability for your analytics needs. Our approach combines deep expertise in data modelling, cardinality, and advanced tools like Power BI and Tableau to create solutions tailored to your business's unique requirements. Ready to leverage your data for smarter decision-making? Discover how KPDI Analytics can build a data foundation that drives your business forward.