X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 control and 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. 

Evaluate Now

Documents related to » control and 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.

control and automation maturity data  Process Automation Technologies , Control and Automation Maturity , Correct Level of Automation , Integration Maturity Model , Automation Processes and Systems Maturity , Take Sample Automation Maturity , Review Automation Fundamentals , Main Automation Maturity Levels , Basic Level of Automation Maturity , Test Automation Maturity Efforts , Enterprise Continuous Integration Maturity Model , Scoring the Maturity of Organizations Automation , Release Automation Maturity Survey , Data Centre Automation , 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 becoming aware that better change can drive top-line benefits—and are developing processes with an eye towards improving speed-to-market. Find out why good change management is becoming more important—and how you can use it as a tool to increase product profitability.

control and automation maturity data  as a way to control cost and improve efficiencies. The September 2005 Product Innovation Agenda Benchmark Report found that 61% of survey respondents report that they are acting on change management to reduce product costs. Another 50% indicated that their goal was to reduce product development cost. At this time, only 32% identified change management as a driver to improve revenue. In sharp contrast, research for this report found that 63% of respondents indicated shortening development lead times as Read More

A Tour of the Clouds


The term “cloud computing” might be the next biggest trend in the IT industry. Jorge Garcia explains some of the basic ideas behind cloud computing—and how it may help your organization in the future.

control and automation maturity data  cloud infrastructure but can control operating systems and many types of applications. •  Platform as a Service (PaaS) : Users are provided with the ability to deploy commercial applications or in-house created applications supported by a provider. Users have control over deployed applications but not over other infrastructure components such as storage or processing. •  Software as a Service (SaaS) : The user is able to use the software application from the provider. This application is running 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.

control and automation maturity data  a data vault. Flow control and task execution is performed in an asynchronous way using workflow and project management tools. These tools allow data to be routed to users and progress to be monitored. Synchronous or real-time collaboration enables users to view, work with 2D (e.g., specifications, drawings, documents, etc.) and 3D data (e.g., mechanical CAD models), and carry out interactive communications with each other in real-time. In addition, PLM-enabled collaborative solutions often support the Read More

The N-able MSP Maturity Model


A business' success delivering managed services depends on its ability to improve the delivery of effective and efficient services to its customer base. Learn about ways that managed services providers (MSPs) can develop a higher-value business by improving their ability to attract and retain high-quality customers and provide IT services in an effective manner.

control and automation maturity data  mature asset and change control processes to minimize the impact of unplanned and untested change on the stability of the infrastructure. Employing a service contract. Using service level objectives to set targets on availability, response and incident resolution. 50% - 70% of billable technical resource time dedicated to reactively correcting failure discovered by a monitoring tool or the customer. The remainder of billable time is spent on maintenance activities with the goal of incident avoidance. 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.

control and automation maturity data  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

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

control and automation maturity data  it may be hands-on control of the entire process; for large projects it may be oversight of delegated or outsourced responsibilities. At a minimum, this role includes basic administrative activities: Coordinate with vendors Negotiate contracts Release payments Whatever level of involvement it assumes, this role is always present in the customer organization. Project Commitment Management Project commitment management is a management role that any vendor should have in place for handling customer Read More

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...

control and automation maturity data  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it''s also a process that can go wrong in a number of different ways. 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 commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commission Read More

Insider's Guide to Network Automation


In The Insider's Guide to Network Automation, you'll learn about the keys to successful network automation, including.

control and automation maturity data  s Guide to Network Automation Insider''s Guide to Network Automation How can you reduce costs and improve the overall performance and stability of your network? Not easily. Networks are complex and prone to security issues, making cost-effective network management an elusive goal. That''s why many IT managers are turning to network automation. Good network automation offers superior network management—along with increased efficiencies and reduced costs. In The Insider''s Guide to Network Automation 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.

control and automation maturity data  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

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

control and automation maturity data  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses 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.

control and automation maturity data  manufacturing productivity. Data Quality Control Every business application should be periodically assessed for data quality. It should be a quarterly effort to assure reliable processing and to maintain the value of business decisions made from data. Software tools such as Carleton''s Passport , Prism Software Solutions'' Warehouse Manager , QDB Solutions'' Analyze , and Vality Technology''s Integrity can be purchased, or homemade tools can be built to examine data fields and relationships. Data should be 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.

control and automation maturity data  Services Code (UNSPSC) Export Control Classification Number (ECCN -used by the import/export and transportation industries International Organization for Standardization (ISO) National Stock Number Codes (NSN) -used by the military It is very important, therefore, that data cleansing tools provide support for these standards. Supporting National Languages Whether an organization has customers, suppliers, or products in the United States, Europe, Asia, or any combination of countries, it is important that 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.

control and automation maturity data  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. Read More