In current disruptive times, the challenge is to deliver on the plethora of changing needs and requirements of customers. Businesses are adopting next-gen data-driven technologies to navigate through the implications of disruption and deliver value at the speed of business.
Earlier, enterprises carried out regular data-driven solutions to comprehend their customers’ needs and take proper action accordingly. Even though these solutions helped organizations drive the business forward, they had to encounter a number of roadblocks that are hard to ignore. Delays, errors or inaccuracies, and higher costs are some of them. It’s fair to say that these solutions have turned outdated and just don’t cut it anymore.
Potential Roadblocks in Business
Gaining an edge over your competition isn’t easy. Business users, architects and developers need to market directly to the source, especially if they cater to the digitally- empowered millennial generation.
To utilize data for making important business decisions, companies must learn how to comprehend the needs of their customers and analyze their data securely and easily. In doing so, they must have access to the various aspects of their audiences – what they’re interested in, what they need, and when they’re more likely to engage and respond. Data about an individual can’t get overly detailed, it’s useful to identify a group regardless.
Organizations can rely on robust data mapping such as provided by Adeptia to harness the potential of data without delay. In this blog post, you’ll learn about data mapping and how does it help businesses drive value.
Data Mapping Can Help Organizations Overcome These Roadblocks
Data mapping involves a process of organizing a manageable and easy-to-comprehend system. Essentially, data mapping tools enable businesses to match data fields with target ones while in storage. Broadly speaking, data does not go by the same standards. For example, information such as phone numbers can be present in multiple formats.
By leveraging a robust data mapping solution, business users can easily identify numbers without difficulty. It enables them to place all the information (phone numbers) in the same field rather than having them drift around by other names. Users can utilize this organized data for delivering insights and ultimately driving decision-making.
Consequently, they can serve their customers better and generate more revenue. Organizations that still rely on legacy solutions take a lot of time and resources to map and use data. These solutions, being highly resource and time-intensive, can slow down mapping processes – it sometimes takes months for completion. Revamping the existing mechanisms with artificial intelligence/machine learning can transform the results, however.
Driving Transformation with Artificial Intelligence
In the example mentioned before, data consolidation and cleaning were discussed. These processes can be simplified and accelerated by using artificial intelligence-powered data mapping tools. Business users with minimum coding skills can rely on these solutions to map data in minutes using AI-driven suggestions. These tools can help them learn from existing data maps to predict and suggest data mapping rules at the speed of business. Machine learning algorithms play a vital role in helping users make predictions to speed up data mapping processes.
By creating data mappings from previously garnered information, users or data architects can minimize the possibility of errors including, duplicities, missing values, etc. Consequently, they can quickly integrate the mapped data into a unified database, where the information can be used to make decisions and deliver value.
In regards to the aforementioned example, ML-powered data mapping tools can help users go beyond the task of just recognizing phone numbers. These solutions help users find intricate errors like missing values or inaccuracies from the same source. Not only can these tools save a lot of time but also make data mapping more effective.
Suffice to say, AI-enabled tools precisely map multiple data sources to the target fields and maintain data integrity to streamline decision-making and completely change the way organizations do business. Data mapping with AI enables business users to create intelligent mappings in minutes. Since business users can handle the operations, IT users become free to focus on more important tasks.
So, business users can create data mappings and build connections while IT can focus on high-value tasks. Rely on a modern AI-enabled solution to map data faster and build robust customer data connections without IT support.
