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Software Functionality Revealed in Detail
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 data main automation maturity levels

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 main automation maturity levels

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 main automation maturity levels  Review Automation Fundamentals | Data Main Automation Maturity Levels | Data Basic Level of Automation Maturity | Data Test Automation Maturity Efforts | Data Enterprise Continuous Integration Maturity Model | Data Scoring the Maturity of Organizations Automation | Data Release Automation Maturity Survey | Data Data Centre Automation | Data Test Management Automation | Data Advancing in Automation Maturity | Data Automation Maturity Model | Data Phase Brings Automation | Data Build Release Automation Read More

Mobile Business Intelligence & Analytics


The convergence of business intelligence (BI) and mobility has been well under way for some time. As more professionals begin using smart phones and other mobile devices to keep up to date with business information, your company’s work force will start seeing mobile access to business data as the rule rather than the exception. Discover the benefits that are in store for an organization that embraces mobile analytics.

data main automation maturity levels  not to say that data security concerns should be ignored. However, having a BI platform with a comprehensive security infrastructure in place, this should not be an inhibitor. Rather the security provided should free a company to broaden the access it provides to its data. Understanding the reporting needs of each of the three main audiences of mobile BI, the executive, the sales and services team is critical. These needs will differ. Develop KPIs and reports that are meaningful to the user and content Read More

Project Management Office: Framework Strategy


IT initiatives driven within silos, where each department maintain its own project management office, inhibits the overall cohesiveness and effectiveness of corporate strategy. This document outlines best practices to centralize and deliver a scalable and robust project management framework strategy.

data main automation maturity levels  management training and a data repository for the timely and appropriate generation, collection, dissemination, storage, and ultimate disposition of project information. This can be achieved through the implementation of a centralized project management office (PMO), often referred to as the project management center of excellence (PM-COE). Strategic Report Overview The following sections describes a structured framework for the successful implementation of a PM-COE/PMO for internal technology groups to Read More

The Advanced Sourcing and Negotiation Benchmark Report


The wave of e-sourcing that began a decade ago resembled a “crash diet:” it had an immediate and noticeable effect on enterprises. Today’s challenge is to develop new programs that can sustain the benefits of e-sourcing and “keep the weight off.” Find out how employing advanced sourcing strategies can help you positively impact product development cycles, build stronger supplier relationships, and make better decisions.

data main automation maturity levels  scenarios for the 6,000+ data points based upon different combinations of allocation and business constraints including container size, number of suppliers per region, and cost. Results: While the award decision was not the lowest cost scenario, significant savings were achieved. The sourcing team now has a full view into the different cost components of their global freight suppliers and will be better positioned to track/predict future price movements. The sourcing cycle time for this category was cut Read More

A Leader in Service Management Tackles Multidimensional Growth


Founded in 1999, Servigistics, initially a service parts planning and optimization (SPP/O) specialist, has become a full-fledged service lifecycle management (SLM) platform. P.J. Jakovljevic, principal analyst at Technology Evaluation Centers (TEC), runs down the company's history of acquisitions and developments, and interviews Mark Vigoroso, Servigistics' senior vice president of global marketing and alliances.

data main automation maturity levels  and higher levels of data accuracy in the planning systems, reducing costs in safety stock and improving inventory control and visibility. It should also improve shop floor efficiencies, by providing access to historical diagnostics, troubleshooting, and repair techniques. With this visibility, field technicians will replace parts and deliver defective FRUs to a repair depot, thus maximizing the use of repairable parts and bolstering service margins. For their part, planners will have real-time Read More

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".

data main automation maturity levels  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More

Transactional Data: Driving Real-Time Business


A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more.

data main automation maturity levels  volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. 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.

data main automation maturity levels  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 Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

data main automation maturity levels  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and 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...

data main automation maturity levels  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 commissioning team Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

data main automation maturity levels  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two 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.

data main automation maturity levels  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. Read More

ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud


Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability.

data main automation maturity levels  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More

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.

data main automation maturity levels  Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Cleansing Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

data main automation maturity levels  or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support. Read More