You don’t want to waste time simply guessing about the expectations and needs of potential customers or customers for your business, or how they will react to a specific marketing campaign or strategy you plan to implement.
Instead, you can turn to Data-driven marketing Make informed decisions based on real data to ensure that your marketing efforts are relevant to the interests and behaviors of potential customers and customers.
Now you might consider the fact that your business has large amounts of complex data scattered across multiple sources-this is where data mapping comes in handy.
Data mapping is a key part of data management and data integration. That’s because it ensures that you are looking at and considering all the data and do it accurately-in other words, data mapping allows you to integrate data from multiple sources.
In this blog post, we will discuss more about what data mapping is, why it is useful, data mapping techniques and data mapping tools.
What is data mapping?
Data mapping is the process of matching data fields or elements in one or more sources with related data fields in another target-it is your way of establishing relationships between data models in different sources or systems. Data mapping software and tools will automatically match data fields in one data source to another data source for you.
Data mapping allows you to organize, refine, analyze, and understand large amounts of data located in different locations in order to draw conclusions and insights.
Why is data mapping useful?
Here are more reasons why data mapping is useful and necessary:
- Integrate, transform and migrate data and easily create data warehouses.
- Establish direct relationships between data across multiple sources at once.
- Ensure that your data is high quality and accurate (data mapping software can automatically mark inconsistent and low-quality or inaccurate data).
- Easily and efficiently identify real-time trends and share data reports with team members.
- Make sure you make the most of your data and apply insights and learning appropriately.
- use Data mapping software Simplify (and automate most of) the process of no-code data mapping.
Data mapping example
One like Amazon may use data mapping Position you accurately. They do this by gaining insights from your browsing habits, comments, purchase history, and time on page. They can then connect that data with data from other sources, such as demographic information.
By combining these types of data sources, Amazon has the necessary information to locate you with specific products and personalize your shopping experience in a variety of ways (for example, based on the challenges you may face, geographic location, experience level, interests, education, Nationality, age, etc.).
Let us consider another Data mapping example — Suppose you work on a TV network, and you want to organize TV shows on the Internet, actors who appear on the Internet, and actors appearing in programs on the Internet. The data sharing between the three sources might look like this:
Data Mapping Technology
In the data map, there are Three main technologies Use-manual mapping, semi-automatic mapping and automatic mapping. Let’s talk about the meaning of each technology.
1. Manual data mapping
Manual data mapping requires professional coders and data mapping personnel-IT will code and map your data sources. Although this is a heavy task and requires professional help, it allows you to fully control and customize your map.
2. Semi-automatic data mapping
Semi-automatic data mapping (or schema mapping) requires some coding knowledge, which means your team will move between manual and automatic data mapping processes (hence the name of the technology).
Data mapping software creates connections between data sources, and then IT professionals check these connections and make manual adjustments as needed.
3. Automatic data mapping
Automated data mapping means that one tool will handle all aspects of the data mapping process for you, making it an ideal choice if you don’t have/cannot access an encoder. This type of software usually allows drag and drop mapping. You just need to learn how to use the tool (and pay for it).
Speaking of tools that can automate the data mapping process for you, let’s review some of your options next.
Data mapping tool
Data mapping tools and software make the data mapping process (including visualization and interpretation of data) easier. No code is required, they usually have a drag-and-drop user interface (UI), and you can implement them in your team regardless of your level of technical experience. Many data mapping tools can also help you complete other data management tasks, such as data migration.
Price: 30-day free trial; contact for quote.
Bloomi, owned by Dell, is an iPaaS solution—it is both cloud-native and extensible—it can connect the cloud and on-premises data and applications. Design a cloud-based integration, the tool calls it Atoms. Then you can start transferring data between the cloud and the local application.
Bloomi’s data mapping function converts electronic data interchange (EDI) for you. The tool has a drag-and-drop UI for easy data mapping and a library of available connectors, so you can quickly build integration.
Price: 30-day free trial; $12-$70/user/month.
Tableau is a visual analysis and business intelligence platform Data management with Data mapping tool. Whether your data is in spreadsheets, Apache Hadoop, databases, or the cloud, the platform allows you to connect and start visualizing your data in seconds without writing code.
Tableau will periodically populate your latest data (on a schedule that you can adjust). The drag-and-drop interface is easy to use, and the smart dashboard enables effective data visualization. Finally, you can easily share your data map and dashboard with your team via mobile devices for easy alignment and access.
Price: 14-day free trial; contact for quote.
Astera is an enterprise data management software that uses a visual interface to transform, map, and verify data structures for you without the need for code.
You can use the drag-and-drop feature of the tool to create, debug, and manage complex data integration tasks. Astera also connects locally to various database providers, including SQL Server, Oracle, and DB2.
In order to ensure that your data is of the highest quality, there are built-in data cleaning, data analysis and data quality options-in order to improve accuracy, there is a built-in conversion function that can delete duplicate records, complete lost information and eliminate redundant data. If your data record does not meet high-quality data standards, you will be flagged and received an email.
Use data mapping in your team
Data mapping can ensure that your marketing team and the entire business make the most of your data. It can also help you maintain high-quality data and automate processes such as data integration, transmission, and migration. Determine which technology you will use and whether you need a tool to start data mapping in your team.