Data is a valuable asset for businesses looking to make informed decisions and gain a competitive edge. However, ensuring that data is accurate, complete, and relevant can be a time-consuming and challenging process for data professionals. This is where data quality platforms come in. In this blog post, we’ll explore the benefits of data quality platforms and the AnalyticsOps meta trend that’s driving demand for these platforms.
What is a Data Quality Platform?
A data quality platform is a tool that enhances the accuracy, completeness, and relevance of data. These platforms are designed to help data professionals identify and correct errors, inconsistencies, and other issues that can impact data quality.
Data professionals spend around 40% of their time checking data quality, according to recent studies. Furthermore, 58% of data professionals claim the number of data quality incidents within their organization has increased compared to last year. These incidents can lead to errors in decision-making and lost revenue for businesses.
To address these challenges, new data quality platforms are emerging in the market. Two examples of trending data quality platform startups are Cloudingo and Planhat. These platforms provide a range of features, including data cleansing, data profiling, and data validation, to help businesses improve their data quality and gain a competitive advantage.
The AnalyticsOps Meta Trend
Data quality platforms are part of the AnalyticsOps meta trend, which is driving demand for data management frameworks that allow businesses to better manage and optimize their complex data systems. Up to 73% of an organization’s data goes unused, according to some estimates. AnalyticsOps aims to address this challenge by providing a framework for businesses to effectively manage their data and gain insights that drive business value.
AnalyticsOps is a data management framework that integrates data engineering, data integration, and data science to enable businesses to manage and optimize their data systems. Some industry experts estimate that around 35% of companies will adopt an AnalyticsOps strategy by 2024, highlighting the growing interest in this field.
The Future of Data Quality Platforms
As the amount of data generated by businesses continues to grow, data quality platforms are likely to become more sophisticated and integrated with other data management tools. This will enable businesses to better manage their data and gain more insights that drive business value.
In conclusion, data quality platforms are an essential tool for businesses looking to ensure the accuracy, completeness, and relevance of their data. With the growing demand for these platforms and the AnalyticsOps meta trend driving the adoption of new data management frameworks, businesses can better manage their complex data systems and gain insights that drive business value. As technology continues to advance, data quality platforms are likely to become even more sophisticated and integrated with other data management tools, providing even greater benefits for businesses.