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Software Functionality Revealed in Detail
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 data phase brings automation

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 » data phase brings automation

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.

data phase brings automation  Automation Maturity Model | Data Phase Brings Automation | Data Build Release Automation Maturity | Data Automation Maturity Framework | Data Choosing a Test Automation | Data Describes Automation Maturity | Data Datacenter Automation Accelerating | Data Program for Implementing Automation | Data Test Automation Maturity Strategy | Data Increasing Automation Maturity | Data Automation Maturity Example-based | Data Customer Requires Automation Testing | Data Automation of Thought Information Technology | D Read More

Has Consolidation Made the PLM Market More Agile?


While the race for the pole position in the still evolving, moving-target PLM market started several years ago, it has been quite accelerated by Agile Software's fourth acquisition in 2003. Particularly with the most recent Agile-Eigner announcement, the two players have apparently decided to leapfrog many direct competitors by joining complementary forces.

data phase brings automation  sometimes even hundreds of data formats and reflecting a variety of information systems and component naming conventions. When Agile looked at problems around product records when companies exchange information, as well as when products move around inside an organization, what it has found was a significant problem around semantics, with different companies using different naming conventions, schemas and standards for product definitions. To that end, oneREV''s technology is meant to address the tricky and Read More

TEC Industry Watch: Enterprise Software News for the Week of April 23rd, 2012


SOFTWARE SELECTIONSThe SuperYacht Group selects NetSuite Industry tags: services industry "The holding that includes magazine and Web site publishing, event hosting, marketing consultancy, and creative services has consolidated and centralized all its activities on cloud-based NetSuite ERP. The company has replaced its point solutions—solutions that had obviously become too tiny for them. The

data phase brings automation  standards for analyzing big data and for industry-specific applications. —Jorge García, TEC BI Analyst Press release Teradata releases new appliance for SAS High Performance Analytics Industry tags: BI/data warehouse/business analytics Taradata 700 appliance for SAS High Performance Analytics is Teradata’s integrated offering; this new appliance delivers in-memory capabilities for performing complex and parallel analytics, providing customers with high-speed tools for this purpose via SAS. A Read More

Onyx Software: CRM Vendor Battling For Viability


Onyx Software is one of the few direct competitors of Siebel Systems with a solid chance at long-term success in the CRM market. A strong customer focus and a commitment to a 100% web-based architecture are just two of its critical success factors. Find out how Onyx is staking its claim.

data phase brings automation  divisions and routes customer data to the appropriate division), an interface framework that manages the user interface for the other three components mentioned below, and an integration framework to tie Onyx''s front end applications to other vendor''s back end (ERP and other) systems. Customer Portal - This application allows organizations to provide personalized marketing, e-commerce, and service functions to their customers over the Internet. Capabilities include catalog and campaign management, product Read More

Case Study: Leading Online Bank Automates with Job Scheduling Solution


An online American bank, providing various financial services, needed to replace its legacy script-driven batch job processes with a job scheduling solution that could handle the bank’s growth. The bank’s IT team, however, faced two major hurdles affecting growth: both batch job processes and script-writing were manual and inefficient. A job management solution helped the bank achieve new levels of growth. Learn how.

data phase brings automation  jobs that check for data integrity, the interdependencies of scripts, automatically detect and correct errors, and gather statistics on performance. On a total cost of ownership investment estimate of $1.3 Million, the bank''s online division realized a conservatively estimated 52% Internal Rate of Return, a 114% five-year ROI, and an investment payback in 26 months. Moreover, given the success of this solution, the bank''s online division is in the process of rolling the Tidal™ Enterprise Scheduler solut Read More

10 Steps to Better Software Test Automation


Maybe you’re considering software test tools for the first time. Or maybe you have experience but think your existing software test automation process needs retooling. Whatever your perspective, there are tips and tricks you may not know about test design and development. These 10 steps to building software test automation can help you shorten your time to market, improve the quality of your products, and save you money.

data phase brings automation  Software Testers , Test Data , Manual Software Testing , QA Test Automation , Test Automation Frameworks , Regression Testing Automation , Agile Test Automation , Test Automation Metrics , Redefining Test Automation , Test Automation Strategy , Software Testing Solutions , Reckless Test Automation , Exploratory Testing , Unit Test , Test Automation , Test Automation Tools , Test Automation Recorder , Effective Software Test , Test Automation Problems , Software Testing Methods , Automating Software Read More

Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

data phase brings automation  Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed to automatically discover information in Read More

The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

data phase brings automation  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

data phase brings automation  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

data phase brings automation  Operational Data Lake: Your On Ramp to Big Data Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance Read More

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

data phase brings automation  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More

Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

data phase brings automation  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

data phase brings automation  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More