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Software Functionality Revealed in Detail
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 data modelling training


Asset Performance Management: The Secret to Uncovering Hidden Profits and Ending Operating Surprises
Top performers optimize their assets. It’s true in any field—sports, the arts, and business. Yet in business, optimizing performance of capital assets often

data modelling training  Data Analysis | Predictive Data Modeling | Predictive Model | Predictive Model Checking | Predictive Model Selection | Predictive Modeling | Predictive Modeling Analytics | Predictive Modeling Applications | Predictive Modeling Definition | Predictive Modeling Software | Predictive Modeling Techniques | Predictive Modeling Tool | Predictive Modeling Tools | Predictive Modelling | Predictive Modelling Software | Predictive Models | Predictive Process Models | Predictive Regression Models | Predictive

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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

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Taking Measures for True Success: How to Choose Software That Meets Your Needs


A failed software implementation can cost companies millions in wasted time and money. To ensure your software selection project isn’t a sorry statistic, use the right metrics to gauge your success. Time, budget, and functionality aren’t enough--focus your efforts on requirements analysis and definition. Take measures to ensure your software meets your needs, and discover how to perform accurate requirements analysis.

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Improving Business Efficiency with Digital Dashboards


As more business processes exist in an electronic universe, the need to manage the IT services that enable these processes increases. Business service management does this and achieves the IT alignment with the business necessary to ensure service improvement activities are prioritized with business objectives. Business service management applies the adage that if you improve IT, you improve the business. This paper presents an overview of business service management concepts and describes how Proxima Centauri provides a solution for this. It also describes how Six Sigma can be used as an underlying quality improvement process to eliminate the associated costs of poor quality.

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Growing Food and Beverage Businesses: Innovation to Maximize Market Opportunities


Global demand for food and beverages continues to rise, and the market will pay a premium for partially prepared healthier choices. Food and beverage manufacturers with innovative solutions for these niche markets are in a position to gain brand dominance, resulting in higher revenues, profits, and market share. Discover tactical and strategic innovative practices that can help support changes in your business processes.

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Business Intelligence: Driving Better Business Performance for Companies with Changing Needs


When it comes to acquiring business intelligence, small to medium-sized companies are often at a disadvantage. Compared to larger companies, they may lack the resources to process data and turn it into business insight, or their systems may not be able to keep pace with organizational growth. This can severely limit their ability to compete—and ultimately, to survive.

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Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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Linked 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, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

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