What is Data Waste Management? How it benefits in Digital Marketing?

Data waste management refers to the process of identifying and eliminating unnecessary or irrelevant data in order to improve the quality and usefulness of the data that a business collects. This process involves identifying data that is no longer useful, inaccurate or duplicate, and discarding it. This is important because it ensures that the data that is being used is accurate and relevant, which can lead to better decision making and improved performance.

According to IBM, 3.1 trillion USD is the cost deriving from poor data quality in the US alone. Yes you read correct, and 32% of spending in cloud is wasted.

From a sustainability and environmental point of view as well, according to Gartner 10% of the worldwide consumption of electricity is dedicated to computing resources contributing by 2% of global CO2 emissions.

In digital marketing, data waste can have a significant impact on a business’s ability to make informed decisions and optimize their marketing efforts. With the vast amount of data that is being generated in today’s digital world, it is more important than ever for businesses to manage their data effectively. By managing data waste, businesses can gain a competitive edge in their market, by having accurate and relevant data to inform their decisions and strategies.

Causes of Data Waste

There are also several common causes of data waste. Poor data governance, improper data collection, lack of data management best practices, and a lack of understanding of how to use data effectively can all lead to data waste. Poor data governance can occur when there is not enough oversight or control over how data is collected and used. Without proper processes in place for managing data, businesses may not be able to effectively use it to make informed decisions. Additionally, not understanding how to extract valuable insights from data can lead to inefficiency and inaccurate conclusions.

The Impact of Data Waste

1. Data waste can increase costs for businesses. The costs associated with data waste include the costs of storing and managing the data, as well as the costs of analyzing, scrubbing, and interpreting the data. Additionally, it can lead to wasted resources and lost opportunities as the business is not able to make the best use of the data it has
2. Data waste can also negatively impact marketing performance. Poor data quality can lead to ineffective marketing campaigns and a loss of potential customers as the business is not able to target the right audience or make the best use of the data for personalization and segmentation.
3. Data waste can negatively impact the standardization of internal processes and lead to a multiplicity problem regarding data points and various ways of usage of data among the different stakeholders in the same organization. As well as it can inflate different technologies and databases with duplicated information from different sources
4. Data waste can harm the integrity of information and threaten the owned data as a source of truth

The Benefits of Data Waste Management

1. Improved data quality is one of the most significant benefits of data waste management. By identifying and eliminating data waste, businesses can ensure that the data they are using is accurate and relevant, which can lead to better decision making and improved marketing performance
2. Data waste management can also lead to increased efficiency and cost savings. By managing data waste, businesses can reduce the costs associated with storing and managing data, and make better use of resources
3. Enhanced decision-making and business insights is another benefit of data waste management. By having accurate and relevant data, businesses can make better-informed decisions, which can lead to improved performance and a competitive edge in the market
4. Advanced first-party data culture is an essential aspect of digital transformation that can be achieved or improved through data governance and waste management by enabling CRM, Marketing Automation, Machine Learning, and Artificial intelligence all thanks to effective, rich, and accurate data
5. Data privacy is a major benefit that now a days is also a requirement. Through data waste management companies can ensure that they are not collecting by mistake any personal or sensitive information data when they are not supposed to or when they don’t have their customers’ explicit consents.

Read more in details about how to ensure that your analytics is collecting accurate data.

Conclusion

Data waste management is essential for businesses in the digital marketing world to optimize their marketing efforts and make informed decisions. By identifying and eliminating data waste, businesses can improve the quality and usefulness.

To effectively reduce marketing waste in digital marketing, it’s important to first identify where it is occurring by running regular audits to validate the implementation of marketing technology stack such as web analytics tools, and conversion pixels. Request a free consultation now to uncover potential issues that are impacting your data integrity and compliance.