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Documents related to » review automation fundamentals data


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

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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

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...
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

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...
Engineering Change Management 2.0: Better Business Decisions from Intelligent Change Management
Traditionally, change management in product development and engineering has been viewed as a way to control cost and improve efficiencies. But companies are

review automation fundamentals data  separating the functions for review and approval versus the implementation of change, ensuring adequate focus is placed on the execution plan in addition to deciding if the change is appropriate in the first place. Average companies should also focus on better decision making and subsequent execution utilizing Manufacturing Execution Systems (MES) .   Best-in-Class Steps to Success   Step 1: Extend the Lead with Technology Best-in-Class companies hold a significant edge over their competition in making Read More...
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

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...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

review automation fundamentals data   Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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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

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...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

review automation fundamentals data  assets. This white paper reviews the factors that can make data protection and recovery in remote offices a complicated problem and describes the range of technology options available, explaining the benefits and shortcomings of each in the context of remote offices. The paper concludes with a brief explanation of how the IBM Tivoli® Storage Manager FastBack TM product family delivers a full-featured adaptive data protection solution for the remote offices of enterprises of all sizes. For the purpose of Read More...
Aplicor
The Aplicor software solution is an integrated, wireless, and web-based CRM suite that includes sales force automation (SFA), marketing automation, project

review automation fundamentals data  The Aplicor software solution is an integrated, wireless, and web-based CRM suite that includes sales force automation (SFA), marketing automation, project office, customer support, and an enterprise portal. Read More...
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

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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

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Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

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