Any impediments or inefficiencies that prevent a company's data from flowing freely are referred to as data friction. Technical problems like mismatched systems, poor data quality, or ineffective data management techniques like manual data input, a lack of automation, or insufficient data storage and retrieval techniques are just a few examples of the many various ways that these barriers might appear.
Organizational impediments, such as siloed data, when data is divided into many departments or systems and is challenging to access and exchange, may also cause data friction. Making strategic choices based on the whole picture might be difficult without a full perspective of the organization's data.
Businesses may have severe effects from data friction, including lost opportunities, wasted time and resources, increased risk of data breaches or compliance violations, and poor decision-making as a result of erroneous or incomplete data.
Due to the exponential expansion in the amount, variety, and velocity of data being created today, data friction is a major barrier for organizations. In fact, it is predicted that the amount of data produced worldwide would increase to 175 zettabytes by 2025 from 33 zettabytes in 2018. Organizations must have a reliable method for managing and using the massive amounts of data that are created and processed in order to advance their company.
Data friction, on the other hand, prevents firms from fully using their data assets, making it challenging to derive insights, spot patterns, and come to wise conclusions. As a result, firms may lose out on opportunities, take on more risk, and waste resources while trying to make sense of their data.
Data friction has a number of reasons, including:
Implementing a data governance framework, engaging in data quality management, tearing down data silos, standardizing data management procedures, adopting automation, investing in data integration, and educating staff are all necessary components of a comprehensive approach to overcoming data friction.
Organizations may acquire a more complete understanding of their company, make better choices, and gain a competitive edge in the digital economy by lowering data friction and enhancing the efficiency and efficacy of their data operations. Overcoming data friction has a number of distinct advantages, including: