Unlocking the Full Potential of Your Customer Data: The Importance of Data Quality at DQ Global
Data has become an extremely valuable asset for organisations across various industries. However, the true value of data can only be realised when it is of high quality. In a recent webinar hosted by Proximo 3, featuring Conor Doyle from DQ Global, the significance of data quality in unlocking the full potential of customer data was discussed. This blog post will delve into the key takeaways from the webinar and shed light on the challenges organisations face in managing data quality. Furthermore, it will explore the solutions offered by DQ Global to address these challenges and empower businesses to optimise their customer data. A recording of the webinar is shown below:
Data quality plays a vital role in driving business success. High-quality data ensures accurate reporting, analytics, and informed decision-making. However, many organisations struggle with data quality due to various reasons, such as data inconsistencies, incomplete records, and lack of standardisation. Without a strong foundation of high-quality data, organisations risk distorting the truth and making flawed business decisions because of unreliable data.
The webinar highlighted the common challenges organisations face regarding data quality. One significant challenge is establishing trust in the data. Employees need to rely on accurate and consistent data for their day-to-day activities, reporting, and analytics. However, when data quality is compromised, trust is eroded, and decision-making becomes uncertain. Another challenge is the time and effort required to overcome data quality issues. Data management tasks often become burdensome and time-consuming, diverting resources from core business activities. Additionally, compliance with regulations like GDPR adds complexity to data management and puts further strain on organizations.
DQ Global, a data management company, offers solutions to help organisations achieve more with their customer data. Their suite of products addresses the challenges faced by organisations in managing data quality effectively. One of the modules offered by DQ Global focuses on capturing data accurately upon entry. This empowers users to validate and format data such as email addresses and telephone numbers, ensuring correctness and reliability. By providing users with the tools to validate data during input, organisations can prevent data quality issues from the outset.
The webinar emphasised that data cleansing should not be a one-time task but a continuous process. Data, much like a living organism, evolves over time. Changes in contact information, such as email addresses or phone numbers, must be tracked and validated regularly. DQ Global’s solutions enable organisations to proactively manage their data by automating data cleansing based on trigger events. This ensures that data quality remains high, addresses stay up-to-date, and potential issues are addressed promptly.
Conor and Andrew also touched upon the discrepancy often observed between the investments made in business applications, such as Dynamics 365, and data quality. Organisations may spend significant amounts on implementing new systems without adequately addressing data quality issues. This imbalance can lead to inefficiencies, lack of user adoption, and a decrease in return on investment. Recognising the value of data and prioritising data quality alongside system implementation is crucial for long-term success.
The Proximo 3 webinar featuring DQ Global highlighted how organisations must prioritise data quality to unlock the full potential of their customer data. By understanding the significance of data quality in driving business success, organisations can address the challenges they face in managing data effectively. DQ Global’s suite of solutions provides organisations with the tools and capabilities to capture and maintain high-quality data.
If you are interested in receiving a free discovery call or data diagnostic from DQ Global, email us today at email@example.com