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 applying intelligence to unstructured data


Content Is King-Applying Intelligence to Unstructured Data
On March 23, I have the opportunity to lead a seminar at the info360 conference in Washington, D.C., on the use of business intelligence (BI) applications and

applying intelligence to unstructured data  be tapped into by applying BI and analytics techniques to data that resides outside an organization to measure trends in market demands and the positions of various types of brands. Nowadays, information is an asset to any organization, regardless of whether it resides inside or outside the company. “Content is King,” not only because it can be delivered to an organization, directly translating into monetary gains, but also because it can be subjected to analysis, indirectly increasing its value propo

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BI Principles for Another Kind of Intelligence


Traditional business intelligence (BI) and analytics applications aim to support the decision-making process of a company. By analyzing large amounts of data, most BI applications provide the means for making business-oriented decisions. This includes studying the data from the perspective of improving the business and generating more business. Most intelligence applications follow

applying intelligence to unstructured data  a new option for applying analytics and intelligence techniques to problems traditional BI solutions can’t solve satisfactorily. Are you using these types of applications? Do you provide an application like this? Read More

Developing a Universal Approach to Cleansing Customer and Product Data


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applying intelligence to unstructured data  definitions and rules, and applying cleansing algorithms to remove syntactical or semantic data errors. At this stage in the process, additional data elements can be added as required to the data to enhance its information content. Data associated with a business process may come from a variety of different sources, and although the data may be consistent and correct for any given source, merging it with other sources can lead to duplicate records, and redundant or inconsistent data elements. The role of Read More

Time to Change: New Thoughts on Supporting Business Change Fast and Flexibly


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applying intelligence to unstructured data  BusinessObjects solutions, SAP is applying that leadership in business software to meet new demands and enabling companies to leverage existing SAP ERP applications. /p> SAP has long been a leader in the enterprise applications market, helping organizations automate and improve business operations, leading to better business process execution. With the SAP BusinessObjects portfolio of solutions, SAP has enhanced its offering and also provides leading business intelligence software to help organizations Read More

4 Steps to a Best-run Business


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applying intelligence to unstructured data  Driving faster, smarter decisions Applying better control over your cost structure Minimizing risk and liability Anticipating change With the fever to win early deals and establish a core customer base, the business environment in young and fast-growing companies is often ruled by the principle that the ends justify the means. Setting up operational processes is something that big companies do to slow things down and is seen as a hindrance to creativity and innovation. Early on, this approach works well Read More

Overall Approach to Data Quality ROI


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How to Create Dashboards People Love to Use


Dashboards have become a standard business tool over the last decade. Dozens of dashboard-building solutions have sprung up to meet the demand. Yet in the flurry of technology and enthusiasm, little attention has been paid to how to design focused, thoughtful, and user-friendly dashboards. This guide will show you concepts and best practices for creating a high-impact dashboard that people love to use.

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Linked Enterprise Data: Data at the heart of the company


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applying intelligence to unstructured data  Enterprise Data: Data at the heart of the company The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More

PROACTIS Source-to-contract and Purchase-to-pay Solutions Ruling the UK Public Sector


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CMS Is to Content as SOA Is to Enterprise Applications


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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

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