Unstructured Data/Content Management

Any document, file, image, report, form, etc. without a highly defined data model or relational structure for convenient use in automated processing; unstructured data may contain many facts: fields, dates, names etc., but not organized in the rows and columns associated with structured data.

NewsThis digital initiative centers on classic customer data challenges, as well as new big data and digital transformation opportunities.
NewsIn all, about 1,700 oncologists now have access to data, which also can be accessed by authorized quality, risk and practice management professionals.
BlogThe pricing exercise in this case is to identify the potential use cases and demonstrate the potential value to the end customers, helping them estimate the value in their particular context.
Organizations are increasingly looking to simplify their data architecture and decrease the time to value from data. But there are a number of challenges in selecting the right data management platform to manage multiple data streams. Here are the top 5 roadblocks.
FeatureDespite all the attention paid to big data and data management, many organizations continue to struggle with getting full value from their data assets.
FeatureOrganizations are looking for their investments in big data and data analytics to pay off this year, with time to value being a key concern.
FeatureStreaming analytics, machine learning and advanced analytics were among the most talked-about themes at this year’s Strata and Hadoop World conference in New York.
NewsEU antitrust chief Margrethe Vestager, who took office at the end of 2014, has signaled a willingness to delve more into how merging companies leverage the trove of data at their disposal.
FeatureRaw security data and community-generated threat intelligence feeds are full of non-applicable warnings, red herrings and often don’t speak the same language – causing duplicate information.
Research firm Gartner Group has just released its Magic Quadrant for Operational Database Management Systems. In this slideshow, we look at the top companies named to the Leaders and the Challengers quadrants.
FeatureMany organizations are working with dirty data and limited support from IT due to lack of resources. They are searching for ways to make the data access process self-service and fast.
NewsCompanies that do not embrace disruption or fail to focus on innovation and growth, integrate new business models, and align with customer needs will find themselves increasingly marginalized.
Comments (1)

Customer service optimization (CSO) is a technology-enabled discipline that puts customer service professionals in position to deliver outstanding service. The goal is to correctly resolve each incident without subjecting customers to time-consuming and annoying delays such as waiting “on hold,” having to explain their problem more than once or feeling that they are participating in on-the-job training of customer service agents. At the heart of CSO is the ability to access the best, most relevant and up-to-date information available in the organization. Therefore a robust and powerful search capability is an essential component. Being able to quickly find relevant data on a topic, regardless of where it resides and what form it is in, is often the key to achieving the goal of resolving incidents in a single call or interaction. Learn more in this informative white paper.

Please note you must now log in with your email address and password.