Let's face it, we all have dirty data. And, poor data quality can lead to ineffective decision-making. According to a 2020 global study, only 30% of the finance professionals surveyed felt confident in their organization's data, leaving C-suite executives blissfully unaware of the data quality behind the reports they receive and upon which they make critical business decisions.
Poor data hygiene practices within an organization contribute to technical debt and can negatively affect the overall tech debt leverage. Understanding and addressing ‘dirty data’ and implementing clear policies to improve data hygiene will help organizations help explain why data-heavy IT initiatives are not moving as quickly as needed, reduce their technical debt, and improve their ability to reach strategic goals. Having clean data with a solid maintenance plan for maintaining good data hygiene is critical to implementing new tech initiatives.
In our latest eBook, “Dirty Data Got You Down? The Secret to Data Tech Debt” IDC experts explore the impact rogue data and data sprawl can have on an organization's tech debt and ways to turn ‘dirty data’ into data with an effective maintenance plan that will help drive business growth and innovation.
