Adaptive information tools and frameworks can support organizations as new technologies emerge, organizational requirements evolve, and new opportunities emerge.
FREMONT, CA: Information is the most valuable asset. Proper utilization can enable companies to make smart business decisions, drive growth and improve profitability. However, according to the report, 66% of companies do not have a centralized approach to data, and data silos are one of the most common problems. It is seamless to see how data integration has become a vital skill for success. Here are some best practices for data integration in design and company roadmap.
Start with the end in mind
Each data integration strategy should start by setting clear goals for the project. Well-implemented data integration projects can provide concrete results. What results do companies target, and how are they measured? There are several reasons to start a project to improve data integration. It is vital that IT leaders clearly understand the reasons for this.
Selection of data sources
Businesses should guide decisions about what information to include. Companies need to look at different software systems across their landscape and find the role that information from each system should play in achieving business goals. Looking beyond the boundaries of a company, determine and how companies incorporate information from external sources. This may include third party information.
Data transformation is full of complexity. CPU data can be challenging due to some anomalies associated with records of varying lengths and COBOL copy books. To make matters worse, it is becoming increasingly difficult to hire people with the skills to understand these complexities and the skills to master newer technology.
Taking future needs into account
Companies have access to a variety of new technologies that would not have been felt years ago. The amount of information available to companies has exploded. Innovation has followed the pattern as companies have found new ways to use new technologies and data to increase efficiency and increase competitive advantage.