Data integrity typically refers to completeness, accuracy, consistency, trustworthiness, and applicability. In addition, overall safety, security, and validation of databases also come under the purview of data integrity. The significant factors that obstruct database integrity include data entry errors, software errors, multiple entry points/sources, and a lopsided workflow. Today, multiple organizations struggle with maintaining data integrity. Therefore, this post will look at seven essentials to ensure the integrity of your database:
Regular Data Cleaning:
Getting professional database cleaning done periodically is highly critical. With the help of advanced data filters, all discrepancies can be identified and corrected or removed. Professionals make this possible by countering multiple entries, wrong formats, outdated data points, incomplete data, and so on.
Rely on Top B2B Data Providers Instead of Data Resellers:
As a B2B entrepreneur, always choose a reliable data source if you are keen on purchasing databases. Data brokers and resellers might give you cheaper deals, but there is no way to assess the data integrity. When you rely on a certified database specialist, you can hold them accountable for any integrity issues.
Train your Team on Data Entries:
The most significant source of database inaccuracies is faulty manual entries. Whether your database has been created in-house or sourced to top B2B data providers doesn't matter. Always make sure that all the entries and modifications made are standardized. You can also try reducing manual intervention by adopting automated solutions.
Ensuring Data Standardization:
While training your team on the various facets of data entry is essential, data standardization is equally necessary. Having well-defined and aptly communicated SOPs on data standardization will lead to lesser confusion and higher efficiency. This step requires implementation at both the organizational level and departmental levels.
In-Built Algorithms for Data Validation:
Leading database management experts and service providers for B2B lead generation have developed cutting-edge algorithms for data validation. Instead of confining the data validation process to the cleaning sessions, these in-built measures ensure authenticity with every entry. This ensures that wrong data entries are rejected right away, thus maintaining database integrity.
AI-driven Database Updates:
Even the slightest errors can cause precious loss of time and resources on the part of your sales and marketing team. This becomes even more critical in competitive markets. For instance, in the highly competitive zone of B2B digital lead generation of Malaysia, Singapore, and other advanced countries, marketing databases need to have immaculate precision. Hence, many B2B businesses are making a complete transition from manual updates to AI-driven updates for maximum accuracy.
Keeping a Tab of Database Updates:
Erratic or infrequent data updates can compromise its integrity. It is best to hire or collaborate with a database expert to understand the frequency of database maintenance and updates. Regular, real-time, and AI-led updates are the best to keep your databases in order.
Data integrity is directly proportional to the usability and reliability of your database. An increasing number of businesses today are relying on data-driven decisions. To ensure that these data-led insights lead towards the envisioned goals of profitability/growth, maintaining data integrity is a must. Outsourcing is certainly recommended if you don't have in-house resources for regular data cleaning and validation.