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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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 basic level of 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 » basic level of 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.

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Best Practices in Extending ERP: A Buyer’s Guide to ERP versus Best-of-breed Decisions


The trade-off between best-of-breed functionality and ease of integration is no longer so simple. Enterprise resource planning (ERP) software continues to expand, blurring the boundaries of core ERP functionality. The three essential factors to consider in ERP versus best-of-breed decisions are functionality, integration, and the ability to upgrade. Find out the questions you need to ask when considering an ERP extension.

basic level of automation maturity data  ERP platform. We run basic applications like GL, AR and AP plain vanilla. Our distribution application is designed to run along-side of ERP. We use ERP as a base but our wrapper provides us with a unified view into all supply chain and distribution functions, according to Greg Culler, the company''s Chief Information Officer. This small company looks first to its ERP provider, but in cases where modules or extensions are not a perfect fit, they actually develop the functionality themselves. This approach Read More

The 2008 Handbook of Application Delivery: A Guide to Decision Making


IT organizations can no longer manage networks in isolation from the applications they support, requiring a shift from focusing on devices to a focus on performance. But a number of factors complicate the task of ensuring acceptable application performance, including the lack of visibility into application performance. Learn tips to plan, optimize, manage, and control your application performance and improve delivery.

basic level of automation maturity data  Dictionary Compression The same basic LZ data compression algorithms discussed earlier can also be applied to individual blocks of data rather than entire files. Operating at the block level results in smaller dynamic dictionaries that can reside in memory rather than on disk. As a result, the processing required for compression and decompression introduces only a small amount of delay, allowing the technique to be applied to real-time, streaming data. Congestion Control The goal of congestion control is Read More

State of the MES Software Marketplace


Despite predictions that it would be subsumed by enterprise resource planning (ERP) vendors encroaching from above and automation vendors encroaching from below, the manufacturing execution systems (MES) market has been growing steadily. This guide from TEC and Flexware Innovation provides state-of-the-market analysis, success stories from your peers, in-depth information on solutions, and a spotlight on leading vendors.

basic level of automation maturity data  one of SYSPRO’s most basic advantages is its adherence to the familiar logic of best practices. SYSPRO approaches each specific business discipline in the most intuitive manner possible, says de Sequera. It never confuses you with eccentric terminology. Instead, it operates according to best business practices, which makes it very easy to understand and simple to learn. As a manufacturer of naturally sourced nutraceuticals and supplements, Natural Factors places enormous emphasis on quality Read More

How to Overcome the Limits of Enterprise Software


Is your enterprise software really making you more competitive? After all, for years you’ve had to make expensive trade-offs between application dependability and manageability—and the sheer computing power required to deliver effortless scalability simply didn’t exist. However, a new type of software environment is successfully and cost-effectively meeting the requirements of today’s most demanding applications.

basic level of automation maturity data  created a consensus around basic requirements for application fabrics. While individual implementation approaches may differ, application fabrics share the following general characteristics: Scale-out virtualization. Application fabrics can easily scale out across tens, hundreds, or even thousands of commodity computers, yet are viewed and managed as a single system. Application-level fault tolerance. Fabric applications derive their dependability from the fabric itself, rather than from the hardware on Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

basic level of automation maturity data  Delphix Agile Masking, data masking, data security, security concerns, production environments, masking solution Read More

The Dollars and Sense of Web Identity Management: How SaaS Cuts the High Costs of Web Access and SSO by 75 Percent


IT infrastructure software has a well-established track record for experiencing frequent cost overruns and missed deadlines. Expensive software and extensive customization are the key contributors to increasing identity management costs to four or five times more than the price of the initial identity software license. Learn how software as a service (SaaS) can reduce the cost and complexity of IT infrastructure.

basic level of automation maturity data   Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

basic level of automation maturity data  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More

The New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence


Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now.

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The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

basic level of automation maturity data  To put it in basic terms, data quality processes must ensure that data is: accurate—data correctly reflects the business object or transaction it describes. reliable—data is consistent within multiple transactions. complete—all the necessary data for a specific task is ready to be used. appropriate—data is relevant to its purpose. on time—information is available when it’s required. credible—data provides valuable insights. Planning and executing a successful data quality strategy requires 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.

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Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

basic level of automation maturity data  analysis of future trends. Basic Principles to Consider With the growing popularity and increasing implementation of real-time data warehouses, it is important to consider some basic principles when considering a real-time data warehouse implementation. Data on Time, at the Right Time . The data must flow to the real-time data warehouse at the necessary speed in order to be considered valuable data. In a real-time data warehouse, the ETL batch mechanism based on a table or file transfer is replaced with Read More

Data Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

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