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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 governance processes and procedures


Managing Risk through Financial Processes: Embedding Governance, Risk, and Compliance
Initiatives to automate and streamline financial processes often focus more on reducing costs than adding value. Adding the kind of value you should have in

data governance processes and procedures  simply stream money and data between different functions, departments and business entities; they also feed reports, tests and controls that help managers become more proactive. Are sensitive transaction processes properly segregated and monitored? How flawless is the revenue recognition process? Will business decisions still make sense after a spike in oil prices, a bank failure or a drop in demand? The best processes flag these and other risks, helping managers to make informed decisions and ensuring

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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

Core PLM for Discrete Industries

The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including management of material specifications, product structures, production processes, design tools, document management, and design collaboration. 

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Global Trade and the Role of Governance, Risk Management, and Compliance Software


The growing number of legal and regulatory requirements associated with global trading is one of many reasons enterprises are looking into global trade management applications, and into harnessing the up-and-coming, strategic software category of governance, risk management, and compliance.

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How a Leading Vendor Embraces Governance, Risk Management, and Compliance


SAP AG has long committed to placing compliance at the core of its product suite, as the vendor has recognized the growing role of enterprise systems in assisting companies to meet the increasing challenges of corporate compliance and risk management.

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Lean IT Governance: The Most Realistic and Attainable Approach to IT Governance


The most realistic and attainable approach to IT governance is a "lean" approach via project portfolio management (PPM). The lean approach requires a light footprint life cycle, rapid implementation of proven practices, and centralized data. It is based on simplicity and achievability, building on what works while establishing headroom for continuous improvement.

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The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

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Microsoft Azure Gets into Big Data and IoT


Microsoft has announced new and enhanced Microsoft data services related to handling big data (especially data streams) and the Internet of Things (IoT).

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

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Data Storage in the Cloud--Can You Afford Not To?


In Data Storage in the Cloud Can You Afford Not To?

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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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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