Digital businesses are in pursuit of new ways to transform data at the speed of business. They rely on AI-enabled technologies to unbolt the true potential of data and leverage the insightful information to make decisions. Business users can rely on myriad data integration processes without additional resources and cost.
In this blog post, you’ll be able to explore how AI can help organizations capitalize on their data feeds – securely and accurately.
Data Mapping Plays an Important Role
While decision-makers analyze and use data, it’s important that data is mapped correctly. And data mapping tools have a major role to play here.
Data mapping enables users to connect a data field from one source to another. It reduces the potential of errors, standardizes data, and makes it easier to use data by correlating it, for example, with identities.
The primary objective of modern data mapping tools is to build a strong foundation of a data privacy framework. These tools are more efficient than manual ones. Manual data mapping solutions allow users to find out and classify sensitive records or information, which isn’t a secure way to employ myriad data streams.
Modern data mapping solutions are powered by artificial intelligence, which enables users to map data at a faster pace. Not to mention, the accuracy is not compromised.
AI-enabled data mapping solutions empower business users to map and transform data faster without compromising authenticity. They support an organization’s efforts by helping users comprehend data as per the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). As far as data privacy is concerned, data mapping tools connect large streams of data with confidence. By matching and linking data across to create 360-degree views of customer data, organizations can easily serve their customers better.
Harnessing Data Value is No Longer a Challenge
Modern data mapping tools enable non-technical users to create a single source of truth for customer data. Additionally, they offer end-to-end visibility into data; what different kinds of information is available, which systems keep the data, and how this data is related and connected.
When users can comprehend such highly sensitive, large streams of data at a granular level, it becomes easier for them to leverage valuable insights into customer preferences and behaviors. The ability to connect data allows users to manage data effectively, which supports compliance with GDPR, CGPA, and other privacy regulations.
When organizations can identify the kind of data they possess, it’s easier for them to discover data that falls under the GDPR’s requirements. Consequently, they can ensure compliance throughout. And using AI-enabled data mapping tools make this process faster than ever.
What data mapping tools do is that they accentuate data transformation. They help users map different data fields to another in a secure way. Transformation speeds up which, in turn, kickstart insights-delivery and decision-making. In other words, decision-makers can use insightful information to address the needs of customers.
In short, data mapping tools serve to be a bridge between two systems or data models, so that when data is moved from one source to another, the accuracy isn’t compromised. These tools prove extremely helpful in times of uncertainty and disruption. AI and machine learning algorithms help facilitate faster outcomes – in a secure and accurate manner.
Future-Proof Your Business with AI
AI/ML-powered data mapping solutions help companies transform the way they handle and use data. Companies rely on AI-enabled data mapping solutions to map data at the speed of business. IT teams no longer need to perform complex EDI mapping and custom coding, thus accelerating operations further. Since a lot of time gets saved, IT teams can easily focus on more high-value tasks.
AI-powered data mapping tools predict data mapping rules, reducing the number of errors including duplicities and missing values. They accurately map different data sources to target fields in order to maintain data integrity for helping companies ease of doing business.
Not only can these tools enable business users to rapidly transform data but also facilitate better decision-making. These solutions employ machine learning to deliver predictions that alleviate the effort and time required to build intelligent data mappings.
