Harnessing More Value Through Data Transformation Software |
Posted: September 14, 2017 |
Transforming data from one data format to another is one of the biggest challenges facing entities today. The reason being differentiated architectures, data models, and fragmented systems that disrupt electronic data interchange. A data transformation software simplifies this part by delivering organizations the interoperability to exchange data. It helps in processing the data between multiple systems from a centralized interface. Before 10 years, there was no systematic mechanism to convert operational and live data for the ready perusal of teams. Data conversion was manual and point to point and heavily coded. Point to point coding for converting is not considered as feasible anymore as there are thousands of applications in an organization today. In the present scenario, companies are using dedicated, and efficient software for data transformation and data mapping. These tools are also simplifying the interenterprise data sharing and addressing the process management worries. Traditional data transformation suffered from great many disadvantages as organizational business systems are of complex nature. Heterogeneous and haphazard systems persisted in siloed cubes. A pressing need for a single database for the management of transactional workloads was felt by organizations. To address this need, focused and enterprise class applications were devised to support end-to-end integration needs and drive performance. Conventional data transformation was plagued by a slew of data latencies issues. The data pathways were disrupted by cumbersome persistency layers. High level complexity and voluminous supply chain environment prevented access to analytics and increased the cost of ownership. Manually cleansing, extracting, and loading the data from different sources and loading it to a data warehouse is a rugged challenge. The following are some of the factors which make the conventional data transformation difficult:
Organizations should embrace a data transformation software which offers mixed workloads to provide data execution and address these challenges. A modern solution not only addresses these data connectivity needs but also ensures network uptime, security, and availability. In this way, a data transformation software accommodates growth, scalability, and business management. Selecting the right data transformation can be difficult as there are so many players operating in this field. Smarter organizations should look out for additional customizations in the solution they select: Here are some additional customizations that need to be there in an advanced data transformation software:
Selecting a data transformation can be a long range decision for seamless business data exchange. Organizations should exercise caution and evaluate a solution’s features before investing on it. An enterprise class data transformation software should enable businesses to move faster, gather & study business data, and scale as per diverse business needs.
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