Data is everywhere and essential for operations and growth in businesses of all sizes. For small businesses, following best practices in data management is key to ensuring data quality, compliance, and sustainable growth.

The analysis and exploitation of data is commonly outsourced to a data analysis company, as expertise is likely to yield the best results. There are thousands of such companies, such as //shepper.com, but it pays to understand the issues that need to be addressed. Let’s look at four of the most important.

1. Regular data cleansing

Keeping data accurate and current is a vital ongoing task. Regularly clean your database by updating contact information, removing inactive or deceased contacts, and correcting data entry errors. This helps avoid costly mistakes, protects your brand reputation, and ensures your marketing reaches the right audience.

2. New data creation

Growing your database with fresh, high-quality data is crucial. Use multiple channels such as social media – Instagram, TikTok, Facebook – SEO content, paid advertising, and referral programs to acquire new leads. If buying data, choose reputable GDPR-compliant sources.

3. Data accessibility

Ensure the right people in your company can easily access and understand the data they need without compromising security. This promotes efficient use and better decision-making.

4. Data management platforms

Use a DMP to organise, cleanse, and enhance your data. These platforms help identify errors and maintain data quality in a user-friendly way, making data management more efficient for your business.

By following these tips, small businesses can manage their data effectively to support growth and success.