Data is dynamic; it doesn’t stay in one place, and it needs to interact to produce meaningful insight. Database mapping organizes data sets and tables into groups that can then be linked to show how they relate. By putting the “relation” in your relational database, mapping reveals connections you might not otherwise see. For example, area codes and geographical locations are linked, and analyzing these links over time might produce valuable information about how often a population moves. Additionally, coded values are mapped to a common data dictionary to allow for selections and reporting across many different sources of data.
Heightened Segmentation Capability
When you can properly associate all the records in your database your ability to segment and relate to each individual improves drastically.
Improve Analytics Accuracy
Now that your data in mapped your analytics will a concise story that can be easily interpreted. This will produce the actionable insights to drive your marketing and business forward.
Generic messaging is over. Relevance is king and your audience expects a high degree of it with each communication point, making better personalization a necessity for engagement.
Gain Greater Results
Results are driven by your ability to connect and interact with your audience at the right time with the right message. Knowledge fuels those decisions and when your actions are based on accurate insights your entire business prospers.
The key to mapping is to identify and combine similar subsets of your database into one master data warehouse. In this example we combine the job title fields from multiple data sources into one unified data warehouse. This will allow us to engage with the entire base simply, swiftly and accurately.