Eminenture Blog

You would be surprised to know that data enrichment solutions market is sizing up at a CAGR of 8.3 % by 2030, according to a report .   The reason is the value of contextual data, which lead to success. If you want to create highly effective and personalized marketing campaigns, you need high-quality contact lists.  Many-a-times, you have email IDs or contact lists, but a few may be incomplete.  What if that contact list has more than half incomplete or wrong details?  Certainly, this can weaken your marketing campaigns. And, you won’t be able to achieve what you think of.  So, the main concern is data enrichment. This blog will help you understand how to enrich leads in your database for marketing campaigns.  Let’s get started with defining what lead data enrichment is.   Lead Data Enrichment Leads refer to the contact list of intended customers (who are interested in investing in the brand).  And lead data enrichment is a defined strategy to enhance (complete, add, and refine) contac

  Do you know that IBM’s bad data cost around $3.1 trillion dollars every year? Such a big loss it is! It’s all because of data inaccuracies, which clarify how precious high-quality data is. Therefore, it’s a must to identify, segment, and fix typos, and duplicates, and fill in missing details so that data analysts can draw feasible strategies or business ideas.   Let’s talk about the most common data quality issues that are no less than big challenges. Most Common Data Quality Issues •                      Segmenting Semi-Structured and Unstructured Data Fortunately, we have technologies and data management tools that make it easier to create a centralized database. But, this fortunate value for nothing when data warehouses or servers prove inefficient in effectively dealing with relational datasets. It’s because of different data qualities, which can be good and bad, structured and unstructured big data. So, data managers should emphasize the structuring of unstructure