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.

BlogInfor is pursuing three major areas of innovation that are central to the emerging next generation of ERP and financial management software.
Capgemini has developed 7 Guiding Principles to help drive the transformation to an insights-driven enterprise. Through leveraging these principles, organizations can generate real value from their data.
FeatureWhen you start connecting all business entities such as customers, products, accounts, and locations in many-to-many relationships, you start getting newer insights into your customer’s needs and preferences.
BlogBusinesses can obtain major benefits from the internet of things (IoT) by extracting insights from connected objects and delivering feature-rich connected products.
FeatureRecently we introduced the phrase “extreme archiving” which means that there are more extremes to consider when it comes to managing structured and unstructured data.
BlogInformation management professionals must help enterprises leverage all the data at their disposal, not just structured, but also unstructured.
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BlogA data lake combines massive storage capabilities for any type of data in any format as well as processing power to transform and analyze the data. Often data lakes are implemented using Hadoop technology.
FeatureInformation Management recently hosted a roundtable of data experts in the financial services and insurance industries to discuss their best practices for establishing a data quality strategy.
FeatureWhether a company builds out a data team or has one data-savvy employee, turning metrics into meaningful insights is key to business success today and in the future.
BlogFrom transactional data and customer service calls to city traffic patterns, GPS, robotic sensors, emails, texts and social media -- we’re capturing as much data as we possibly can, without ever really knowing why.
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BlogIn this digital age, business models are built upon data. Currency and accuracy of information define success or failure.
FeatureThe key to keeping up with a growing web of technology to manage lies in both automation and integration.

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.

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