Data Accuracy – It Complements Data Completeness

Because it’s related to data completeness, it’s great to look at another component of data quality – data accuracy. What determines the accuracy and completeness of data is different. Accuracy is about just how closely data reflects the real-world. Imagine selling tickets for a show in one of the many Fox Theaters, but not including… Continue reading Data Accuracy – It Complements Data Completeness

Data Completeness – Another Foundational Element of Data Quality

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

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

Vision and the mVP

One of the greatest challenges for Product Management is the creation of a minimum viable product (MVP). The discipline of building out an offering that delivers value to customers as quickly as possible, while also setting a technical foundation for making a multi-year vision reality, is a competency that is hard to come by. As… Continue reading Vision and the mVP

Start with Quality

Do your customers value data quality? This is a critical question, as there are often low-cost sources of dirty data which don’t provide data accuracy or extensive coverage. When building a premium solution, it’s important to begin with a plan to deliver high quality data that has been normalized across the many data sources available.… Continue reading Start with Quality

On the Productization of Data Solutions

In over 15 years of working in Product Management for Cloud software solutions in a range of market segments, there has always been an opportunity to increase the company’s top and bottom line by productization of  the data available. And, it can be done in a practical, phased approach so you can see the results… Continue reading On the Productization of Data Solutions

Unlocking Business Gains with Cloud Analytics

Anne Vincenti is outspoken about the proliferation and use of cloud storage. In sharing her expertise she always relies upon evidence to frame her points and draw her conclusions. This approach was on display in Anne’s latest contribution to the cloud discussion – a by-lined article on the Information Management website. Excerpts from her piece appear… Continue reading Unlocking Business Gains with Cloud Analytics

Grow Your IT Skillset Before You Move to the Cloud

A move to a public cloud often manages to drive down capital expenditures. If it’s a public cloud where you’ll be running applications that you have to size for performance, there are some skills you’ll want to invest in before you make the move – principally: Monitoring Security and Compliance Orchestration & Automation Monitoring the performance… Continue reading Grow Your IT Skillset Before You Move to the Cloud