Integrity of data is vital to the overall sales and marketing ecosystem and is critical to sales and marketing success. Data quality truly determines the integrity of the information and its usability. Quality as it relates to data is a state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use.
The importance of data quality is often undervalued. According to a study from Gartner, the average financial impact of bad data to organizations is $9.7 million per year, with Harvard Business Review (HBR) reporting that figure at nearly $3 trillion annually across all industries. Sales teams lose about 550 hours each year updating old data. Bad data is any data that is missing, incomplete, inaccurate or otherwise unhelpful to a sales organization.
Data cleansing can be an elaborate process depending on the method chosen and has to be planned carefully to eliminate data decay or inaccuracies. The methods we use to accomplish the task of data cleansing
We identify incomplete, incorrect, inaccurate, irrelevant parts of the data and then replace, modify or delete them. The ultimate goal is to maintain a clean customer database and create a “single customer view” (meaning - one record for each customer that contains all their relevant data).
Our ultimate goal is to closely align the needs of your database with your corporate needs and enhance and append your data with vital prospect intelligence that will accelerate the sales cycle.
100% verified, spam-free, legally obtained leads
Accurate data records
Connectivity with key decision makers
Database verification every 90 days