Admin Jun 3rd, 2019
Across nearly every industry, data has become a key driver for critical business initiatives. At the same time, data will only add value to your business when it is trustworthy and actionable. Companies of all sizes need to be aware of the power and liability of their data and should have a robust and reliable data quality management strategy in place that aligns with the needs of the entire organization.
Databases are highly dynamic, so the quality of a company’s data constantly changes. If you’re not constantly purging the decayed data, it is likely that your data is outdated at a rate faster than you may think.
Most CRM systems are estimated to suffer data decay of 25% to 30% annually. This can cause harm in sales performance and hurt your company in the long run.
Old and inaccurate data can have an adverse impact on results and marketers need to ensure that the data is correct, consistent and useable by identifying any errors or corruptions in the data, correcting or deleting them, or manually processing them as needed to prevent the error from happening again.
While some of data cleaning can be done by software, it must be monitored and inconsistencies reviewed. The manual part of the process is what can make data cleaning an overwhelming task. Therefore data cleaning is imperative and our team at Packed Data Services can help in enhancing your data.
Here are several key benefits that come out of the data cleaning process:
1.It removes major errors and inconsistencies that are inevitable when multiple sources of data are getting pulled into one dataset.
2. Further standardizing the data procured from multiple sources will bring uniformity and will make everyone more efficient since they’ll be able to quickly get what they need from the data.
3. Once the data collection is standardized, then cleansing or removing duplicate data is critical because duplicate data can skew large data sets if they exist within the system.
4. Avoids spending precious time and money in reaching out to invalid emails by removing or updating outdated data. Data usually has a short shelf life since several people change their jobs or their job title gets changed in the same company.
5. Fewer errors mean happier customers and fewer frustrated employees.
6. The ability to map the different functions and what your data is intended to do and where it is coming from your data.
Data enrichment services help organizations take current data, assess its validity, and tweak it to make it more meaningful. You can perform these audits on your own, or you can trust teams like ours at Packed Data Services to enrich your data for you. We can also append your current data with new information, so your team can gain new insights about your prospects. This process will improve the quality of your data-driven marketing and sales.
