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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 unstructured data to structured 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

unstructured data to structured data  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 technologies to analyze unstructured data. In preparing for this seminar, I came across an article written by Bill Gates back in 1996 entitled “ Content is King .” And although the theme of that article is different from the approach of this post, both highlight the importance of various types

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » unstructured data to structured data

3 Big Trends in Data Visualization


The greatest value of a picture is when it forces us to notice what we never expected to see. —John W. Tukey. Exploratory Data Analysis. 1977. Data visualization is core to business intelligence (BI), as it’s the means by which data is communicated to the user. Results, alerts suggestions, or even more controlled guidance—all of these elements are passed through the data visualization

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

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About Big Data


There may not be a consensus with respect to just how big "big data" is, but not many people will disagree that managing these huge amounts of data represents a challenge. TEC research analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions.

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How to Use Talent Supply Chain Management to Overcome Challenges in the Professional Services Market


Professional service providers are starting to apply supply chain management concepts to their strategies for hiring and retaining talent. Adapting to market demands such as globalization and a more sophisticated client base means human resources departments need a complete and integrated process of talent management. But hiring and keeping top talent can also help you increase revenues and increase client loyalty. Find out how.

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How to Find the Right ERP to Optimize Your Multi-site, Multi-national Operation


Download this white paper to learn about the challenges faced by multi-site and multi-national organizations--and what to look for in an enterprise resource planning (ERP) solution to address these issues.

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8 Questions to Ask to Successfully Negotiate a Phone System Deal


Learn how to get the right phone system for your company's requirements in 8 Questions to Ask to Successfully Negotiate a Phone System Deal.

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The Idea to Delivery Framework: A Holistic Approach to Deliver Customer Value


Today’s “new normal” business environment demands a new view of what customers value and an improved approach to delivering that value. The idea to delivery (I2D) framework posits that multiple companies now compete as a business network rather than as individual enterprises, each relying on the others to achieve collective success. This paper includes an action plan with the evolutionary steps companies can take to move toward this approach.

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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