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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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 increasing automation maturity 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 » increasing automation maturity 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.

increasing automation maturity data  Automation Maturity Strategy , Increasing Automation Maturity , Automation Maturity Example-based , Customer Requires Automation Testing , Automation of Thought Information Technology , Warehouse Automation Maturity , Warehouse Automation Project . Introduction Test automation has been evolving over the past two decades from primitive record/playback to data-driven scripts and then to frameworks. This trend reflects a preference for less and less code in favor of more and more data, because less code Read More

Getting Back to Selling


Faced with longer sales cycles, declining sales productivity, and increasingly discerning customers, companies are being forced to streamline and automate how sales information is processed, and change the mechanics of deal-making. Learn more about the strategies that best-in-class (BIC) companies are employing to improve sales effectiveness, boost productivity, and ultimately remain competitive.

increasing automation maturity data  that information, such as increasing the quality of leads (33%) and sales win rates (30%). Aligning behavior with expectations is central to improving sales effectiveness. These actions will help shorten the sales cycle, an important benchmark in optimizing sales effectiveness. Senior Vice President, Global Sales and Marketing Table 2: Best-in-Class PACE Framework   Pressures Actions Capabilities Enablers Longer sales cycles Declining sales productivity Increase the quality of leads Increase sales win Read More

Economic Benefits of PLM-enabled Collaboration


Many of today’s product lifecycle management (PLM)-enabling technologies allow complex information to be shared by dispersed teams of people. Product data management (PDM) technology is used to organize and provide access to your intellectual assets. PLM, its collaborative Product Definition management (cPDm) capabilities, and other solutions can help you go beyond asynchronous data sharing. Find out how.

increasing automation maturity data  multiple design teams thereby increasing lot sizes and reducing unit costs. 3.3 Electronics/High-Tech The electronics/high-tech industry is composed of several distinct sectors, including microelectronics, computer equipment, computer networking equipment, telecommunications and navigation equipment, and household audio and video equipment. Common across all these sectors is the need for tight integration of Electronic Design Automation (EDA) tools and the information they define with the larger PLM Read More

Professional Services Automation: Affordable Hosted Solutions for the Small to Medium Business Market


Although technology is pivotal in maintaining a competitive edge, many smaller professional services organizations (PSOs) have limited time and resources to dedicate to their IT infrastructure. For this reason, the application service provider model can be a very attractive offering.

increasing automation maturity data  PSA market. But the increasing trend of ERP giants capturing the larger PSA deals has forced many of the leading niche PSA players to shift their focus to project portfolio management (PPM) for internal IT, and also forced smaller PSA vendors to develop an ASP model to cater to SMBs (for additional details, refer to Enterprise Resource Planning for Services, and Professional Services Automation: Where Do You Draw the Line? ). For organizations considering a PSA offering based on an ASP business model, Read More

Savvion Inc. BusinessManager 7.5 for Business Process Management Certification Report


Savvion Inc.'s business process management solution, BusinessManager 7.5, is now TEC Certified. The certification seal is a valuable indicator for organizations who rely on the integrity of TEC’s research services for assistance with their software selection projects. Download this 24-page TEC report for product highlights, competitive analysis, and in-depth analyst commentary from TEC Analyst Kurt (Yu) Chen.

increasing automation maturity data  Process Management Studio , Increasing Maturity of BPM Solutions , BPM Portal User Interface , BPM Portal , BPM Functionality Modules , Managing Business Process Applications , Business Process Management Space , Business Process Management Software , BPM Activities , Business Process Management Environment , BPM Evaluation Center , BPM Tools , Business Process Management Value , BPM Rating Score , Business Process Management Server , BPM Environment , BPM Setting , Business Process Management Evaluation Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

increasing automation maturity data  big data,innovation,data management,data platforms,data ecosystems Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

increasing automation maturity data  data governance maturity model,data quality governance,enterprise data migration,master data management solutions,siebel data migration,data governance definition,data warehouse governance,master data management definition,master data management system,data governance best practices,enterprise data governance,master data management download,master data management product,master data management solution,master data management strategy Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

increasing automation maturity data   Read More

Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

increasing automation maturity data  Master Data Management,MDM,Customer Data Integration,CDI,Data Integration,CRM,BI,business intelligence,data standardization,data consolidation,Customer Relationship Management 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.

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

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

increasing automation maturity data  data warehouse,data warehousing,data acquisition,metadata management,data mining,data cleansing,data capture,Data Warehousing definition,Bill Inmon,Ralph Kimball,database technology management experience,data warehouse design expertise Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

increasing automation maturity data  Data The Issue of Increasing Complexity BusinessObjects Enterprise Information Management BusinessObjects Data Insight XI BusinessObjects Data Quality XI BusinessObjects Universal Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Problem? Data quality has always been an important issue for companies, and this is even more the case today. Business and legislative pressures coupled with the explosion in the amount of data created by organizations is leading to Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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