Digital businesses are looking for new ways to transform data at the speed of business. They rely on AI-enabled data mapping tools to harness the potential of data and use the insights to make decisions. Business users can leverage them to accelerate data integration processes without additional resources and cost.
Map Data to Streamline Outcomes
Data mapping allows users to connect a data field from one source to another data field in another source. It reduces the potential for errors, standardizes customer data, and makes it easier to utilize data by correlating it, for example, with identities.
Data mapping lays the foundation of a data privacy framework. It is far more efficient than manual data mapping mechanisms. Manual data mapping tools allow users to discover and classify highly sensitive records, which isn’t a secure way to utilize the potential of data. AI-enabled data mapping solutions play an important role here.
AI-enabled data mapping platforms enable business users to map and transform data faster in a simpler and accurate way. These transformative solutions support an organization’s efforts and empower users to comprehend data as per the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CGPA).
As far as data privacy is concerned, data mapping helps users precisely connect sensitive data without complexity. Data mapping solutions can recognize information, match and link it across to create 360-degree views of customer data.
Data Mapping is Essential
Data mapping tools help users create a single source of truth for data from customers. Additionally, they provide end-to-end visibility into the information – what different data records they keep about their customers, which systems keep the records, and how those records are related as well as connected. Comprehending such highly sensitive, large streams of data at a granular level empowers users to accomplish useful insights into customer preferences and behaviors.
The ability to link all data helps users manage data effectively, ensuring compliance with GDPR, CGPA, and other privacy regulations. When enterprises know what kind of data they possess, it’s easier to identify streams of data – which falls under the GDPR’s requirements.
As a result, companies can identify data to safeguard and ensure that they have required protection policies and protocols in place.
According to a survey, organizations take almost seven days to get back to the inquiry. This delay cost them $1400. By using AI-enabled data mapping techniques, companies can automate this process and give rise to large costs. Business users can quickly respond to accurately insights for making successful business decisions.
The primary reason why data mapping tools are important is that they speed up data transformation. It helps users map different data fields to another in a more secure way to boot. Data can be transformed faster, and that again accelerates insight generation. Such quality information is easily accessible to decision-makers and so decisions can be taken without wasting time.
In short, data mapping serves to be a bridge between two systems or data models, so that when data is moved from a single source, it is extremely accurate and useful at the same time. And in the wake of disruption, organizations can use AI and ML to improve data mapping results by leaps and bounds.
Intelligent Data Mappings Future-Proof Businesses
AI/ML-powered data mapping tools play a cardinal role in transforming businesses. Organizations are relying on AI-enabled solutions to map data faster – and in a secure way. IT teams no longer have to indulge in performing complex EDI mapping and custom coding, freeing them to focus on more high-value tasks.
AI- data mapping learn and predict data mapping rules, reducing the number of errors including duplicities and missing values. It accurately maps different data sources to target fields and maintains data integrity to increase companies ease of doing business.
These solutions enable users to rapidly transform data without compromising its precision or accuracy. It utilizes machine learning to deliver important predictions that reduce the effort and time required to build intelligent data mappings. Rely on these solutions to harness your data potential and deliver maximum value to your customers.
Founder Dinis Guarda
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