Biggest Challenges Companies Face in Leveraging Data – John David
John is a seasoned Data and Analytics professional with over a decade of experience in data strategy
In an era where data has become a vital asset for businesses, the ability to effectively harness its potential can be the difference between thriving and merely surviving.
However, according to John David, CEO of Data Addict, many companies still grapple with significant challenges in leveraging data to drive success. In an exclusive interview, David sheds light on these challenges and offers insights into overcoming them to unlock data’s full potential.
“When companies try to leverage data effectively, whether in-house or outsourcing to data analytics firms, they often encounter some challenges. One of the most common challenges, especially when being introduced, is the resistance put forth, especially by more traditionally inclined stakeholders.
“This challenge can be solved by gradually introducing data-driven methods into short-term projects and ensuring proper documentation and interpretation of all steps involved to help introduce a data-driven culture.
“Data quality, and how to interpret and act on these insights is a major setback in the data space. Poor data quality such as being incomplete, inconsistent, or outdated can render the entire process of data analysis futile by not putting the right standards and personnel in place. This challenge can be solved by using the right tools, and setting up structures to ensure data is gotten from the right sources, and go through the right processes of cleaning, analyzing, and interpreting for implementation.
“Privacy and security concerns, and the risk of major data breaches, especially when outsourcing data analytics projects have been ever-increasing in recent times as well as data privacy regulations such as GDPR. This is mitigated by implementing access controls, including encryption, and ensuring regular security audits. Ensuring compliance with all necessary data privacy regulations and legal requirements also goes a long way in making organizations feel safe enough.
“Lack of in-house skilled personnel is another very common challenge organizations face when they’re new to the data space due to the complexity of data management. Not having in-house skilled personnel may make transitioning into a data-driven culture quite challenging. This can be resolved by data analytic firms like ours which have proper personal structure, and proven records of handling data and providing data-driven strategies.
“Considering all these challenges, partnering with an experienced data analytics firm helps to streamline this process, and provides the expertise and tools needed to navigate these challenges efficiently,” he explained.
John is a seasoned Data and Analytics professional with over a decade of experience in data strategy, IT consulting, and developing scalable data applications.
His expertise extends to data quality management and the development of innovative data-driven solutions.
