What is your current data integration strategy?
If you do not know how to answer, do not worry. In fact, the moment there are many organizations do not even realize the importance of data integration.
Today, companies are faced with the enormous challenge of data, especially in this rapidly changing world of technology, many companies need to deal with those data dispersed in the organization. These data usually appear in a variety of data storage and software applications and services, the collection, integration and analysis of these data is a critical lifeline of their business.
If no data integration, business understanding of business performance, trends would not be complete, and over time, the business model is also a lack of visibility. If you can not get the right information, companies may even lose market share.
For this reason, more and more companies began to data fusion program as improve the timeliness of its data, data quality key enabler.
First, data fusion how to drive business success
Data fusion as agents of business development, is the key to process a variety of data, including: big data analytics, marketing automation, BI, data integration and cloud services. If the data is not complete, low quality, the organization will invest in these projects and time wasted.
- Support "big data analytics (BI)"
Business sector can do the analysis based on the data, the data needs to be integration of different systems. The reality is that as companies continue to increase their IT functions, you may find that there are hundreds of systems running on multiple platforms. Because these systems silos, business users find a custom view is difficult to obtain data to see trends, forecast business performance.
Therefore, companies have to deal with some of the information, providing insight into the part of the business, which means that companies may end up losing market share and customer loyalty.
Further, in terms of its impact on the BI, BI system depends on the quality of data that they represent. Currently ensured by improving the quality and consistency of the data value BI project has been recognized by most businesses.
Aberdeen Research's study shows that agile data integration, data integration is a key factor in achieving agile business intelligence. On average, the new BI project organization will total resources (budget) of 19% is designated as data fusion.
New retail businesses represented, we are increasingly concerned about the real-time BI, hoping high-quality, reliable and real-time data to complete real-time supply chain management, real-time material inventory, reported losses, store management (BOH), real-time analysis of sales of new products. And this can not be separated largely stable, efficient real-time data integration tool.
- Support "Marketing Automation"
Data fusion is called all marketing fields. To be able to more effectively manage customer relationships to achieve precision marketing, companies need to integrate data from all customer data sources (online search, advertising channels, social media (micro-channel) and other platforms) is.
By data fusion, marketers can get better customer insight, promote cross-selling and up-selling opportunities, improve the conversion rate.
- Support "Cloud Integration"
Currently, most data is placed on a private or public cloud, companies wishing to synchronize the data to on-premise applications, the need for data integration. In order to maintain data consistency when migrating data.
- Support "Data Service (DaaS)"
Enterprises can realize the sharing of specific data, we need to be developed to meet the needs of a large number of interfaces, but this results in cost management and maintenance of the software will soar.
To be able to deal with this "information island" problem of the interface type of integration, reducing investment and maintenance costs, companies are turning to data integration "Data Services" service providers to implement uniform definition of data assets, management and application. For example, pre enterprises no longer need to spend energy maintaining hardware servers and other equipment, only automatic positioning heterogeneous storage data through data services can help developers and data analysts to easily find and extract the required data.
Second, the current business Mistakes
Although the data integration is important, but the visual is visible compared to BI, etc., often forgotten or buried under other matters. Only when companies face challenges, we realized through the integration of the importance of maintaining a consistent data. Therefore, enterprises need to be prioritized before the implementation of the project.
Market competition brutal war, no chance to start over. If you encounter problems when afterthought fix errors have lost the opportunity to win. How to lay a solid foundation in the beginning, to carry out the integration strategy to ensure business through advanced data, is the current business managers, project executives and other urgent issues to face.
If we do not have one, no amount of 0 has what use is it?