Your results depend on the quality of data in your data lake
Posted: Wed Jan 22, 2025 5:21 am
Data has a direct impact on business results. And the quality of data in your data lake determines the information available.
Today it is common to hear that data is the fundamental asset of organizations. In these times of analytics, data is the raw material that will allow us to obtain knowledge about customers and the business . And this latter in turn will enable us to offer differential experiences to users or consumers, as well as to better guide business decisions.
Today, data has become a vital component of interactions with customers , partners and other key stakeholders. Data can now have a direct impact on business results – facilitating increased revenue, reduced costs and minimized risk .
But does all data have this potential ? The truth is that it does not: when data is of poor quality, its value deflates. And what makes it recover its potential value? Adequate management ( data management ) and data governance are what ultimately ensure that data will be available and of good quality.
Data Lake: Overcoming the Limitations of Data Warehouse
Quantity and quality of data
These days, data is an abundant commodity . In fact , companies today are office 365 database overwhelmed by the huge amounts of data they need to harness and manage. However , the quality of this data still leaves much to be desired. One study found that only 3% of data quality scores assessed met the "acceptable" criteria.
Poor data quality undermines productivity and wastes valuable hours. Research conducted by Forrester showed that nearly a third of analysts spent more than 40% of their time validating analytics data before it could be used. And another survey found that an average of 30% of total company time was spent on non -value-added tasks due to poor data quality and availability .
Today it is common to hear that data is the fundamental asset of organizations. In these times of analytics, data is the raw material that will allow us to obtain knowledge about customers and the business . And this latter in turn will enable us to offer differential experiences to users or consumers, as well as to better guide business decisions.
Today, data has become a vital component of interactions with customers , partners and other key stakeholders. Data can now have a direct impact on business results – facilitating increased revenue, reduced costs and minimized risk .
But does all data have this potential ? The truth is that it does not: when data is of poor quality, its value deflates. And what makes it recover its potential value? Adequate management ( data management ) and data governance are what ultimately ensure that data will be available and of good quality.
Data Lake: Overcoming the Limitations of Data Warehouse
Quantity and quality of data
These days, data is an abundant commodity . In fact , companies today are office 365 database overwhelmed by the huge amounts of data they need to harness and manage. However , the quality of this data still leaves much to be desired. One study found that only 3% of data quality scores assessed met the "acceptable" criteria.
Poor data quality undermines productivity and wastes valuable hours. Research conducted by Forrester showed that nearly a third of analysts spent more than 40% of their time validating analytics data before it could be used. And another survey found that an average of 30% of total company time was spent on non -value-added tasks due to poor data quality and availability .