Knowledge Mapping can Take Enterprises to the Subsequent Stage
Data is the fuel of the 21st century, and data integration coupled with data mapping is the combustion engine.
Much like the enormous, untapped lakes of oil, we are now sitting on heaps of facts, figures, and information. The only difference is, unlike fossil fuels, data doesn’t get depleted when used and has a minuscule environmental footprint in comparison.
Truth is, organizations today are witnessing a major upsurge in data, and they need proper tools to extract value from it.
Harnessing Value from Data
Similar to how combustion engines are used to derive energy from fossil fuels, data integration platforms are used to unlock value from data.
Data integration solutions are used to route voluminous data from multiple sources (applications, databases, warehouses etc.) into a single source or platform. In other words, they play a key role in garnering data from multiple sources and delivering it to the end-user for driving collaboration and, consequently, efficiency within an enterprise.
Data mapping serves as a support engine for data integration platforms because it helps companies map distinct elements and govern rules about how the data would be mapped across the ecosystem.
Since it helps to foster relationships between source and destination data fields, data mapping remains a crucial foundation for smooth integration between two applications hosted on different environments (cloud, on-premise, or hybrid).
With a drag and drop functionality, easy-to-use graphical interface, etc., data mapping tools allow companies gain easy access to data, which results in faster decision making and improved customer relations.
And that’s not it, there are a bunch of other business benefits that are realized with a competitive, intelligent data mapping solution.
Enables Digital Transformation: Data mapping solutions establish a connection between different applications in the ecosystem and administrate how data from source application is used by destination application. They provide aid to the application of multiple data manipulation functions, and on a larger scale, become the agent of digital transformation by keeping the data lineage intact in an organization while boosting actionable use of business data.
Brings Data Integrity: Data quality is of paramount importance for delivering accurate insights. Data mapping eliminates gaps in mapping and ensures that the destination data has the right format/schema. As a result, the output is highly accurate, free of errors, duplicity, or inconsistencies, thus preserving the integrity of data integration.
Streamlines Collaboration: Another core task is to centralize data by collating information from myriad sources and mapping it into a destination field in the desired format. This offers real-time visibility and promotes collaboration between a wide range of multiple teams, leading to innovation and knowledge sharing.
Ensures Scalability: With rapid business growth, data volume and complexity grows substantially. Consequently, new technologies rise and an integration solution is needed to connect all these. Data mapping helps companies increase their number of sources, types, or databases because it can map anything and everything to deliver relevant insights from the data. In short, data mapping helps enterprises scale up without compromising performance or efficiency.
Data mapping lays the foundation of next-level growth. It not only paves the path to execute critical integration processes but also helps companies transform digitally without losing data integrity or business scalability.
With a strong data backbone that is supported by powerful data mapping capability, enterprises can stride further and faster in their quest for bigger market share, sharper competitive edge, and better customer satisfaction.