Break Down Data Silos With Data Integration
|出版商||Info-Tech Research Group||商品編碼||603333|
|出版日期||內容資訊||英文 129 Pages
|利用資料整合打破數據孤島 Break Down Data Silos With Data Integration|
|出版日期: 2018年01月23日||內容資訊: 英文 129 Pages|
Integrate your data or disintegrate your business.
Data integration fails because there is too much focus on point-to-point solutions. If you want your good DI solution to be great, you have to look at it with a business lens.
While the need for technology, the amount of data, and the speed for access of that data is constantly growing, it is challenging to view all of the various and disparate data sets in a modern organization.
Land yourself in one of our use cases and see how you fit into common reference architectures to simplify your problem and build a purpose-driven integration environment.
This research is designed for:
This research will help you:
Data is one of the most important assets in a modern organization. Contained within an organization's data are the customers, the products, and the operational details that make an organization function. Every organization has data, and this data might serve the needs of the business today.
However, the only constant in the world is change. Changes in address, amounts, product details, partners, and more occur at a rapid rate. If your data is isolated, it will quickly become stale. Getting up-to-date data to the right place at the right time is where data integration comes in.
Info-Tech's four-phase methodology included in this blueprint incorporates a hybrid linear and iterative process that will help you break down data silos. Info-Tech's methodology:
This methodology will provide you with the strategy needed to address the common challenges of data integration and create a loosely coupled integration architecture. By engaging the crucial roles and understanding what is needed from the business, and then from a technical perspective, you will generate integration solutions that serve the needs of the business in the present and that are scalable, agile, and responsive for changes in the future.
This research is created with reference to the Data Asset Management Association's Book of Knowledge, Version 2 (DAMA DMBOK2).
The research in this blueprint focuses on data integration and interoperability, one of the essential components of a comprehensive data management practice.