With businesses collecting huge volume of data and implementing AI technologies for insights, data governance too must shift gears to protect the organization from risks within and outside. This calls for a need to automate data governance. This blog post outlines the need for automation in Data Governance and the processes you can automate to strengthen your DG.
Stepping into an AI-led future, it is important for businesses to be clear about where they stand when it comes to data ethics. This blog post outlines the complex relationship between data ethics and AI, and key guidelines to build trustworthy AI systems.
For AI systems to function effectively, you need good quality data — a robust data governance. This blog post outlines how you can prepare your data for AI and the key data checks before investing in AI.
If you’ve just begun your PIM initiative, picking the right tool might be a bit overwhelming. In this blog post, we list a few of the important questions, the answers to which help you pick one perfect PIM solution for your needs.
A PIM core working group gets the idea on the drawing board to a functional, steady-state deployment. However, guaranteeing the continued health and utility of PIM requires the attention and leadership of the Data Governance Council (DGC).
The quality of data is a key factor in the success of your PIM implementation. In this blog post, we present a 5-step framework for successfully conducting a data quality audit.
High quality product data is one of the key factors that will determine the success of your PIM implementation. But how do you know if the quality of your data is good or bad? In this blog post, we outline the six important dimensions to assess your data quality.
Your PIM system will function efficiently only when the quality of input data is good. This blog post talks about identifying your data assets for data cleaning and preparing it for PIM implementation.
Bringing together the right people to form a PIM team is the first crucial step for a successful PIM implementation. In this blog post, we discuss the key stakeholders you consider include in your PIM team.
The most important ‘data’ in a product company is the data about products — SKUs, price, size, quality and the like. This product information and its strategic management can just be the difference between success and failure.
In this blog post, Shyam of I&I Software presents five irrefutable reasons a product company needs PIM.