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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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 review automation fundamentals data

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

Sales Force Automation (SFA)

Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining contact data. Systems often include various levels of analytic and reporting capabilities. 

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Evolution to Revolution: The Test Automation Maturity Curve


The evolution of test automation towards data-driven and key/action word frameworks reflects the realization that the process becomes more efficient if there is less code to develop and maintain. Instead of taking twenty years to evolve towards efficiency, you can take a revolutionary leap with a code-free approach that makes it easier to implement, manage, and maintain automated tests.

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How to Maximize Your IT Services with Lifecycle Management


As businesses become increasingly dependent on technology, service quality becomes more important. With so much riding on IT’s performance, a new service-centric model has emerged: service lifecycle management (SLcM). Based on the Information Technology Infrastructure Library (ITIL) principles, SLcM provides a framework that enables organizations to optimize business outcomes and facilitate continual service improvement.

review automation fundamentals data  in the writing and review of ITIL v3. HP is at the forefront of ITIL v3 support, and offers a comprehensive solution that includes software, services and education. The unique service management framework of HP makes it easy to take ITIL from theory to operational reality. How service lifecycle management works To understand the practice of SLcM, let''s use a real-world example of a common service- provisioning for a new employee. As previously stated, the lifecycle of this service has six phases: Define Read More

APICS 2009 From the Expo Floor: Is S&OP Coming of Age? - Part 3


Part 1 of this blog series talked about my attendance of the APICS 2009 International Conference in Toronto, Canada in early October. I attended only a few education sessions, as my conference visit focused more on exploring the expo floor and talking to the exhibitors. My overwhelming impression from the conference's expo floor was that the main value propositions this year revolved around the

review automation fundamentals data  to be able to review the necessary data and to see the impact of  what-if analyses . Namely, any disconnect from the operational side could mean the lack of participation from the sales or finance folks. Without accountability, business units do not have the incentive to make a corporate-wide analysis of performance possible. Accurately predicting revenue and operating performance is a daunting challenge facing many enterprises today. Despite the raising awareness of the adverse impact of badly missed Read More

Running and Optimizing IT: A Best-practice Approach


IT has long been one of the best ways to address business challenges. Yet significant obstacles at the level of IT infrastructure stand in the way. Siloed IT operations and rigid IT management processes can impede business agility. When IT partners with the business to act less as a technology provider and more as a service provider, business objectives can be achieved more efficiently and cost-effectively. Find out how.

review automation fundamentals data  schedules, creating milestones, establishing review and quality gates, defining budgets, and assigning resources. All of these steps need to be understood in the context of the overall portfolio of existing and planned projects so that upper-level managers can continue to make informed strategic-level decisions throughout the course of the project. Coordinating between project portfolio management and application life cycle management tools (such as requirements, change management, quality) can Read More

Addressing Channels and the Low-End Market


Microsoft announced plans to increase resources and provide new tools and offerings for MBS independent software vendors (ISV) and value-added resellers (VAR). These efforts are designed to accelerate the MBS Group's partner-driven vertical strategy, providing stronger opportunities for partners to align their services and solutions with their customers' specific needs. Microsoft has to be in the small business market, which is a springboard or a feeding ground for more scalable products as these businesses grow over time.

review automation fundamentals data  developing, testing, and technical review of their vertical-specific applications. The industry-specific application code will be owned by the ISVs. Early participants in the Industry Builder initiative are Fullscope Inc. (for the process manufacturing segment), foliodev LLC (for professional services), and Manhattan Associates Inc. (in the supply chain execution [SCE] realm). ISVs may develop applications not only in X++ , the Microsoft Axapta native development language, but in any other programming Read More

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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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

review automation fundamentals data  than perform manual data review and validation. No wonder, according to Ovum Research, 50 % of data warehousing projects fail. If more companies would incorporate the concepts of data quality and data integrity into their project lifecycle, the IT department would have less data to clean up post golive. We have all heard this before: Fix the records on the fly. So basically, the old garbage in - garbage out pretty much says it all. Systems that support human decision-making should be systems which Read More

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


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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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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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

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Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

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