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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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 release automation maturity survey 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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Documents related to » release automation maturity survey 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 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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Reporting Value of IT Services with Balanced Scorecards


A balanced scorecard is a measurement system for management that provides real insight into the status of a business or some part of it. Developed by Kaplan and Norton in the early 1990s, balanced scorecards provide a control system that helps ensure the right balance between different, and often times conflicting, perspectives. For example, an insurance company may increase profitability by offering incentives to claims assessors for taking a tough stance on payout, but will soon find dissatisfaction among its clients that may lead to lost business. Scorecards help ensure this balance and are an improvement over more traditional single dimension approaches that tend to be based purely on expense management and business growth.

release automation maturity survey data  | Quality Management | Release Management | Reporting System | Resources Key Performance Indicators | Sales Key Performance Indicators | Sales Performance Indicators | Service Key Performance Indicators | Service Level Agreements | Service Level Management | Service Level Management SLM | Service Level Management Best Practices | Service Level Management Process | Service Level Management Software | Service Level Management Solutions | Service Level Management Tool | Service Level Managements | Service Ma 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.

release automation maturity survey data  teams to test and release components involved in an application change in a coordinated manner even where the changes may be based on different technologies. Reporting functionality is also critical, especially when it comes to the continual service improvement stage of the ITIL service life cycle. A powerful ALM platform that monitors change and provides in-depth reports at both the management level and the technical level can help organizations determine the effectiveness of the change processes and mak Read More

Benchmarking ERP in SMB


Many small companies have limited resources to devote to the implementation and maintenance of enterprise resource planning (ERP). Fortunately, the price performance of ERP and the underlying infrastructure supporting it have improved steadily and significantly over the past two decades. In fact, solutions that were once beyond the reach of these small companies are now well within their grasp.

release automation maturity survey data  new features in the release to warrant efforts to upgrade, another reason cited for skipping versions. Challenges and Responses Small companies often face decisions around aligning their business processes and software capabilities. Top on the list of challenges is dealing with customizations, followed very closely by the challenge of redesigning business processes (Figure 7). These two are very closely related as companies face hard decisions. Should they adapt the business to the software and pay the pr Read More

Enabling Product Innovation: The Roles of ERP and PLM in the Product Lifecycle


Companies are turning toward product innovation to achieve revenue growth, but to generate return on an innovation idea, the idea must be fully developed. When the concept has been fully defined, validated, and transformed into a product, it is then ready for commercial launch and execution from a sales, marketing, manufacturing, and logistics perspective.

release automation maturity survey data  6: Design Iterations before Release Figure 7: Percentage of Products Released to Manufacturing Figure 8: Relative Collaboration Levels between Design and Manufacturing Figure 9: Frequency and Impact of Engineering Changes Figure 10: Managing the Impact of Product Changes on Related Items Figure 11: Managing the Impact of Product Changes on Related Deliverables Figure 12: Systems Support for Product-Related Processes Tables Table 1: Product Innovation Systems Integration - Capability Tradeoff Chapter One: 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 from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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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.

release automation maturity survey data  data,data cleansing,consumer data,precise data cleansing,data quality,data cleansing tools,data cleansing solutions,accurate data,source data,data warehousing,data scrubbing,outsource data cleansing,data bureau services Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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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".

release automation maturity survey data  basis. Prior to the release of these products, the only solution was custom coding by in-house IT staff, an expensive and laborious task. Many IT shops still argue that they can do it better than an off-the-shelf solution, but IT employee turnover and code maintenance issues make a strong argument for commercially available software. User Recommendations Before attempting to acquire software in the data migration category, companies should study the scope of their data warehouse/data mart/data Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

release automation maturity survey data   Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

release automation maturity survey data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

release automation maturity survey data  business data quality,customer data quality,data quality,data quality center,data quality control,data quality improvement,data quality analysis,data quality articles,data quality assessment Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

release automation maturity survey data   Read More

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.

release automation maturity survey data   Read More

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


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

release automation maturity survey data  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More