I’ve shared thoughts on data consistency and next it’s time to talk about a related topic – data completeness. As a Product Leader, it’s important to put a visionary plan in place to increase the completeness of data over time. Data completeness ensures that every necessary piece of information is present in the dataset. Outline… Continue reading Data Completeness – Another Foundational Element of Data Quality
Category: data quality
Data Consistency Part 2: A multi-faceted challenge
Don’t be fooled – achieving data consistency is not just a technical task but a significant, multi-faceted challenge that impacts productization, customer decision-making, and your business operations. Data consistency involves maintaining uniformity, accuracy, and coherence across different aspects of your business’ datasets. Understanding the various types of data consistency and the complexities involved can shed… Continue reading Data Consistency Part 2: A multi-faceted challenge
Data Consistency Part 1 – It’s Critical for Your Business
Today I’ll talk about something that’s crucial but often overlooked in a portfolio of products: data consistency. In simple terms, data consistency means making sure that your information is uniform, accurate, and coherent not just within your databases and applications, but across all your products and services. Why should you, as a productizer, care? When… Continue reading Data Consistency Part 1 – It’s Critical for Your Business
Supporting a Data Normalization Project
At a foundational level, it’s important to begin any “first time” data productization project with a commitment to data normalization. Today, I’m writing about normalization of data for the purposes of analytics, which necessarily is a step to normalization of data for machine learning and artificial intelligence. The normalization process is designed to deliver greater… Continue reading Supporting a Data Normalization Project