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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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 main automation maturity levels 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 » main automation maturity levels 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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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.

main automation maturity levels data  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 that will actively assist them to do their job. Ensuring that the reporting content is relevant to their internal audience, companies will ensure a quick uptake and as such have a far higher return on investment from their mobile BI project. What technology has to underpin a mobile BI initiative? The success or 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.

main automation maturity levels data  alliances, then took the main stage to set the stage for the aforementioned “SLM Imperative.” According to Vigoroso, in this service economy, an excellent product no longer guarantees business success. Finding new sources of income and growth has become a matter of competitive necessity for traditionally product-oriented companies. Indeed, in many sectors, services markets are growing much faster than their adjacent product markets, and product-based market leaders can earn better margins on services Read More

Analytics Leader Voices Its Opinions on S&OP State of Affairs


Today’s retail companies are realizing the importance of creating an optimal balance between supply and demand, with a focus on sensing and shaping demand rather than trying to match demand to existing supply. Learn about the newest solutions and offerings from SAS for the retail industry and follow a question and answer session on the state of affairs on S&OP with TEC analyst P.J. Jakovljevic and Charles Chase from SAS.

main automation maturity levels data  consensus demand forecast. The main reason is that the process is too complex. This is exacerbated by the fact that these companies are using Excel spreadsheets, which require manual consolidation (taking too long to complete), and are trying to review every product across the entire supply chain, and that the process is too supply focused, with very little attention to unconstrained demand. As I said earlier, there are more supply folks involved in this process, with virtually no involvement from 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.

main automation maturity levels data  portfolio management solution include main industry players such as Primavera, NIKU, PlanView, and more recently, MS Project with its continued enhancements. A product we are impressed with is the Business Propulsion Systems PPM product. The real time application capabilities built into the BPS product allows not only for near-real time reporting to executives (as opposed to waiting until the end of the month only to find projects are off track/out of scope), and its ability to provide the associated Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

main automation maturity levels data  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More

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.

main automation maturity levels data   Read More

The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

main automation maturity levels data  SAP,business intelligence,data services,data integration,data quality,integration data,business intelligence data,data integration software,data management services,data quality management,business data integration,business intelligence data warehousing,business objects data integration,crm business intelligence,customer data integration 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.

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

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

main automation maturity levels data  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics 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.

main automation maturity levels data  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center physical infrastructure, data center infrastructure outsourcing 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.

main automation maturity levels data  Business Objects) illustrates the main tasks of a data quality program. The first task is to measure and analyze (or profile) the data to determine the type and number of defects that may exist. This step provides the knowledge required to develop a strategy to improve the quality of the data. Once this has been done, the next task is to cleanse (parse, standardize, and correct) the data. This requires parsing it into its individual components, standardizing data formats and values based on internal and 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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Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

main automation maturity levels data   Read More