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.

NewsOnly a few thousand apps—a tiny fraction of the millions out there—have adopted the competing tech protocols that Google, Facebook, Apple, and others are pushing.
Data ManagementA look at OpenStack’s approach to DBaaS, called Trove -- a potential solution for provisioning and managing relational and non-relational database resources within an enterprise.
Comments (1)
BlogHere's what the future holds for this enterprise file sync and share (EFSS) platform -- especially in the context of enterprise content management.
Simplify the big data conversation within your organization. Here are 10 priorities to get you started – care of TDWI Research.
TrendsWith graph databases, businesses can ask questions in real time about the data relationships in their master data that they might not even know they have, driving new business insights.
Comments (2)
NewsDropbox made itself a household name by giving away cloud storage. Its two-year-old effort to make money from business users has been less impressive.
NewsSocial media continues to converge with customer relationship management (CRM), according to a new report on the state of CRM outsourcing.
Market TrendsAdding Semantics to a data lake can transform and integrate unstructured and structured data and query it in real-time, providing critical business intelligence that answers complex questions.
Comments (4)
AnalysisBy interlinking text and data, leveraging public data sources that provide context and supplemental information, and identifying true meaning, businesses are constructing knowledge bases with the power to reason at the speed of the human mind.
Comments (1)
AnalysisYou can collect an unlimited amount of data. But more often isn't better. Instead focus on three types of big data you should be collecting and using – though not every piece of it.
Comments (2)
BlogFinding structures, patterns and meaning in unstructured data is not a simple process. Here's how to start.
Comments (1)
AnalysisSemantic technology gives meaning and context to both structured and unstructured data, and makes it actionable -- thereby solving major challenges financial institutions are facing when it comes to realizing big data's full value.
Comments (3)

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.