This is part of Solutions Review's Premium Content Series, a collection of contributed columns written by industry experts in maturing software categories. In this submission, dotData Founder and CEO Ryohei Fujimaki offers commentary on data quality strategies to get your data machine learning-ready. As the world embraces machine learning (ML) and Artificial Intelligence (AI), data leaders are adjusting and perfecting data quality management frameworks. Traditionally, there are two stages in data quality: raw unprofiled data and cleansed data, free of common errors and commonly used for business intelligence (BI). But, companies at the forefront of data-driven decision-making have realized that data quality needs to level up--and this is where ML-ready data comes in.

Inspectorio is a cloud-based SaaS solution focused on creating a dynamic and risk-assessment based Quality and Compliance program with the goal of generating more sustainable and transparent supply chains. Our network is a one-stop-shop platform where all key stakeholders in the production process can connect to execute, monitor, and report on Quality and Compliance activities. Our products provide digitization, automation, transparency, and traceability, with a strong focus on advanced analytics & Machine Learning. This enables us to leverage customer data for predictive insights and dynamic risk-based interventions. Founded in 2016, Inspectorio set out to revolutionize the supply chain industry.