Data plays a crucial role in various aspects of business, particularly within sales departments, extending its impact across the entire company and the broader economy. In contrast to relying on intuition, businesses increasingly depend on data for significant decision-making processes, encompassing accurate forecasting, crucial business choices, and team feedback.
The significance of high-quality data cannot be overstated. Using unreliable information can have detrimental effects on productivity and morale, making it imperative to ensure the data's accuracy, freshness, completeness, uniqueness, and compliance.
In the realm of sales and marketing, where building a newsletter audience or creating a prospecting list is common, the need for reliable data becomes even more pronounced. The consequences of utilizing subpar data in such foundational tasks can result in decreased productivity and morale.
Surveying sales professionals revealed a unanimous desire for better data, with 30% emphasizing the importance of data for personalized conversations and 22% seeking more accurate contact information to initiate connections with leads. Relying on inaccurate data can lead to ongoing sales losses (52%) and reputational damage (49%).
To ensure the quality of data, these five fundamentals should be checked:
In conclusion, maintaining high-quality data is essential for maximizing sales productivity, preserving company reputation, and fostering positive team morale. SMARTe's data is a reliable source of accurate and global B2B data, offering data enrichment services to enhance CRM data quality. Book a demo to see it in action.
Nitesh is SMARTe’s Head of Growth Marketing. He writes on topics within B2B marketing and sales, providing readers with real life, actionable tactics.
Good B2B data is characterized by accuracy, relevance, and completeness. Accuracy ensures that the information is up-to-date and reliable. Relevance means the data aligns with your target audience and business objectives. Completeness ensures all necessary fields are filled, providing a comprehensive understanding of each lead or prospect.
Data enrichment enhances B2B data quality by appending additional information to existing datasets. This process fills in gaps, corrects inaccuracies, and adds valuable insights such as firmographics, technographics, and purchase intent. By enriching data, businesses gain a deeper understanding of their target market, enabling more personalized and effective marketing and sales strategies.
Data cleansing, or data scrubbing, is crucial for maintaining the integrity of B2B data. It involves identifying and correcting errors, inconsistencies, and duplications within the dataset. Regular cleansing ensures that the information remains accurate and reliable over time, preventing wasted resources on ineffective marketing campaigns and improving overall business decision-making processes.