รายละเอียดเพิ่มเติม
A solid and efficient framework for managing data is required to harness data and create a more creative efficient, agile and agile business. To be successful, companies need a solid foundation of consistent, accurate and high-quality information across their entire operations, including products, services and front-line processes.
Many major financial institutions are investing in programs to reshape data architectures. They are integrating siloed systems and implementing new systems to collect, store and instantly update large volumes of unstructured and structured data from a variety of sources. They also put in place an unifying team to manage the data transformation.
This is the process of changing raw data into a format that is useful to users and compatible with the application for which it is used. Examples include converting non-numeric attributes into numeric values as well as aggregating weekly sales data into monthly sums and combining daily site traffic information to calculate trends for the entire web.
Achieving success in the transformation of data management will deliver greater accuracy, consistency, and clarity of data. It will also allow data to be reused for various purposes, and improve accessibility, searchability and speed of data access.
Data transformation is an essential element of modern-day data governance. It is necessary to ensure that the data used in business processes, products, and services is of top quality. Additionally it is crucial to the development of smart enterprises as systems like machine-learning and advanced analytics require large quantities of high-quality data. Moreover, organizations need the correct data to recognize opportunities, optimize operations and reduce costs.
