The data quality has a significant impact on sales outreach. Poor-quality, incorrect and irrelevant data can cause major disruption in the sales pipeline. This leads you to make decisions based on wrong data, wasting resources and losing out on prospects. So, if you are looking to improve the quality of data from a sales and marketing perspective, you need a data quality checklist for your B2B success. In this blog, we dive into the data quality checklist that can help you improve data quality and enhance B2B lead generation efforts.
What is Data Quality in the Context of B2B Lead Generation?
Data quality implies how accurate data is for a specific purpose. It can measured based on various quality parameters such as:
- Precision & Accuracy: The data should be creditable and worth trusting. It needs to be error-free; mistakes such as incorrect contact numbers or email addresses can cost massively.
- Completeness: The dataset must be complete. Missing values, such as important decision-maker positions, can prove to be ineffective.
- Consistency: The data should be consistent across different operational systems, software and departments.
- Timeliness: The data should be up-to-date and relevant.
At LeadoConnect, the best B2B lead generation company in Mumbai, we understand that accuracy and high quality mean better opportunities, implying improved B2B sales revenues. We ensure to tick these 4 boxes to ensure high-quality data.
What is a Data Quality Checklist?
A data quality checklist is a well-defined set of criteria that assess the quality of data within a system. The primary goal of the data quality checklist is to ensure the data is upto the mark and complies with standards in regard to accuracy, completeness, timeliness and consistency. A checklist is crucial to data management to ensure businesses use data that is accurate and credible.
Benefits for B2B Lead Generation Teams to Have a Data Quality Checklist
- Work Efficiency: With the help of a data quality checklist, the B2B sales team ensures it has accurate data to avoid data quality problems. These problems can occur in situations such as cold calls or emails, and you are looking for a contact number. With a data quality checklist, you ensure you are fully prepared.
- Improved Decision Making: Quality data is the core for B2B lead generation success. With backed, accurate data, you are in a better position to make well-informed decisions.
- Cost Savings: Relevant quality data has a significant effect on the sales pipeline. It helps save considerable money and gives you a competitive edge over others.
How to Create a Data Quality Checklist?
Step 1: Determine Data Quality Goals
Begin with what your B2B lead generation team needs from the data. Ask the following questions:
- How important is completeness in data?
- How important is it for the data to be consistent across different systems & sources?
- How important is the validity of data?
Step 2: Define Data Elements
Identify the different types of data you intend to check, such as target audience emails, contact numbers, decision makers’ job titles and other data.
Step 3: Check & Validate Data
Review and validate the existing customer data, prospects data, supplier information and previous customer info.
Step 4: Monitoring & Tracking
Now you are all set for continuously improved data quality testing, which can be done using enrichment tools.
Using these steps, you can create a data quality checklist to ensure your team is empowered with relevant, complete and accurate data. LeadoConnect- the best B2B lead generation agency in Mumbai. We provide high-quality and up-to-date data for an efficient prospecting process. To avail of our exceptional B2B lead generation services, call us today.
