Finding ways to automate data updating within database infrastructure is emerging as a key capability. Businesses increasingly depend on unstructured social media data and similar forms of content that change all of the time, but need to be kept up to date to avoid risks that come with inaccuracy. This is emerging as one of the major challenges facing the organizations.
According to a recent Core77 report, this issue is not new. For years, the art world has been having a hard time properly gathering information for catalogs of artists and their works as the data included in such documents is often wrong by the time the file has been printed. This has made it nearly impossible for publishers to adequately maintain accurate catalogs without having major information updating issues every time an artists or dealer sells a painting. The problem is further complicated by contemporary artists who are frequently releasing new work or taking pieces off the market. However, an innovative database solution has found the answer to these problems.
Art.sy, a new art database that has only been released in beta version, is designed to automatically update all information about painters and individual works by gathering unstructured information and adding that data to the system in place of content that has become outdated, the report said. Following a similar process can dramatically benefit businesses working to keep up with social media, customer-created content and similar unstructured data feeds.
The core database layer is built on an open source platform, the news source explained. This decision to go open source instead of working with a proprietary system is ideal for solutions based on unstructured data, as it is typically much easier to adapt an open source database to a company's core needs than it is to customize a proprietary solution. The infrastructure is capable of supporting workflow automation and other systems that make it easier to not only update data officially, but also ensure that the information is only placed in the correct fields, keeping the system organized.
Below the actual database is a link to an art genome project that tracks industry activities and feeds that information into the system. According to the news source, this process also includes provisions for advanced search functions that make it much easier for users to find the content they want.
Businesses can follow a similar pattern when establishing databases that help them deal with important data from social media sites. To begin, a company needs to establish a social mining program that allows them to identify all references made to the organization on social media sites and track responses to those entries. This system then needs to be integrated with a flexible database solution that offers the customization options necessary to deal with constant data updates. The two platforms also have to be fully integrated with automation technology that identifies changes from unstructured sources or when information based in the database becomes inaccurate. Once these two layers have been unified, organizations can focus on the details of the DB system to get it working at full capacity.
Within an enterprise database designed for unstructured database, there are a few important details that need to be considered. This includes a system that checks for redundant data and deletes duplicate information. It is also vital that the underlying programming that defines the database is capable of automatically updating fields within other corporate systems. For example, if this DB for unstructured data notices a client has made a positive remark about the company, that data needs to be sent to the sales and marketing system. With the right balances of control and customization, organizations can unlock the full potential of unstructured data through advanced database infrastructure.