Decentralizing Data and Democratizing Analytics

Abstract

Many organizations struggle to make data and analytics tools and insights widely available and accessible internally, leading to a lack of data-driven decision-making and sustainable innovation. Additionally, organizations often struggle to delegate power and decision-making authority over data management to smaller, more local units or actors, leading to inefficiencies and a lack of agility in data management. Traditional data analytics, ELT, and BI approaches can be complex, inflexible, and difficult to change, leading to delays and inefficiencies in the data analysis process. Additionally, data analytics, ELT, and BI tools can often require specialized technical expertise, making them inaccessible to a broader range of users. By democratizing analytics and decentralizing cloud data management, organizations can enable a wider range of users to access and work with data, improving the agility and innovation of their data management systems.