Adaptable data tools and frameworks can support organizations as new technologies emerge, as organizational requirements evolve, and as new opportunities come to light.
FREMONT, CA: Data is the most valuable asset. Utilizing it correctly can enable firms to make intelligent business decisions, drive growth and enhance profitability. Nonetheless, according to a report, 66 percent of companies lack a centralized approach to data, with data siloes being one of the most common problems. It is seamless to see how data integration has developed into a vital competency for business success. Here are some data integration best practices for planning and enterprise roadmap.
Starting with the End in Mind
Every data integration strategy should begin by establishing clear aims for the project. Well-executed data integration projects can offer tangible results. What results are firms targeting, and how will they measure them? There are several reasons to embark on a project to enhance data integration. It is vitally essential that IT leaders be clear about their reasons for doing so.
Deciding Data Sources
The business case should drive decisions of which data to include. Companies should look at the disparate software systems throughout their landscape and find the role that data from each of those systems should play in meeting the aims laid out in the business case. Looking beyond the firm’s boundaries to determine whether and how firms will incorporate data from external sources. This could comprise third-party data.
Reducing Complexities
Data transformation is fraught with complexity. Mainframe data can be challenging due to some anomalies connected with variable length records and COBOL copybooks. To make matters worse, it is getting more difficult to hire people who have the skills needed to make sense of these complexities and the skills needed to manage newer technologies.
Considering Future Needs
Businesses have access to a range of novel technologies that were unknown some years ago. Businesses have seen an explosion in the amount of data available. Innovation has followed suit, as businesses have discovered new methods of using new technologies and data to boost efficiency and drive competitive advantage.
