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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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 data analysis career


Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

data analysis career  technologies to speed the data analysis process, among others. One of the important players in this fierce and competitive space is Kognitio , a company founded in 2005 with headquarters in Bracknell, United Kingdom, and offices in the United States in Chicago, New York, and Minneapolis. Kognitio is a provider of data warehouse and business intelligence (BI) systems that incorporate in-memory , massively parallel processing (MPP), as well as an interesting virtual online analytical processing (OLAP) cube

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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

Talent Management

Talent management solutions encompass all the applications necessary for handling personnel-related tasks for corporate managers and individual employees from the point of hire to the point of retire. This talent management model includes functionality for recruitment and staffing management, personnel management, career development, succession planning, learning management, performance and compensation management, and workforce management and planning. 

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Documents related to » data analysis career

Making the Business Case for HR Investments during Economic Crisis


Automation of human resources (HR) processes and integration across various functions can provide visibility into and analysis of the workforce. Having a single reliable source of information is key to enabling this visibility, which in turn can enable your company to align skills with business objectives. Learn more about how you can optimize your HR systems to meet your current—and future—human capital management needs.

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TEC Is Looking for Talent!


I’ve been working at TEC for a year now, helping our team of Analysts as they manage their demanding workloads, nurture their ideas, and provide interesting content to our two-million-plus subscribers. It’s a pleasure to hash out ideas and watch as the organic process of writing and editing results in new angles and fresh approaches to software industry issues. As we expand the scope of our

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10 Errors to Avoid When Commissioning a Data Center


Data center commissioning requires tight coordination between vendors, facilities, IT departments, engineers, the commissioning agent, and others. Managed properly, commissioning can deliver an unbiased evaluation of whether a new data center will succeed or not. Managed poorly, it can lead to problematic data center performance issues. Learn 10 common data center commissioning mistakes, and find out how to avoid them.

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Solve the Succession Crisis by Growing “Inside-outside” Leaders


Strong evidence supports the notion that a well-groomed insider is a key to sustained company performance. In an analysis of 1,800 successions, company performance was significantly better when insiders succeeded to the job of chief executive officer (CEO). Learn why CEO choice matters—and how you can work toward better corporate succession planning by choosing a high-potential executive from within your company.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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Data Quality Basics


Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.

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The Use of Ceiling-Ducted Air Containment in Data Centers


Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established and best-practice recommendations are provided.

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Fundamentals of Managing the Data Center Life Cycle for Owners


Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.

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Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

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