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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

Expanding the Enterprise: Breaking the Barriers to Collaborative Product Development


Product development has never been easy, but in today’s global market, the pressures facing industrial manufacturers are even greater. With more stakeholders involved in the product development process, collaboration and communication are key to competitive advantage. Your challenge: bring all the stakeholders in the same room—in real time. Discover how to succeed by increasing innovation and speeding time-to-market.

main automation maturity levels data  development system is the main collaboration tool used during product design, it has a direct impact on the ability of extended teams to work together effectively. Today''s best-in-class product development systems allow industrial manufacturers to: Get Digital. By eliminating paper and moving to a purely digital product modeling approach, companies can make their intellectual property highly portable between locations, third-party partners, and internal team members. It is this portability that allows Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

main automation maturity levels data  to properly deploy and maintain security; 3) minimize the impact of changes, adds, and deletes that are normal in day-to-day operations; and 4) have the right key archival solution in place. These five steps are essential in defending data and applications from new types of threats and vulnerabilities that will impact business. Protecting the Network: More Than Just Encryption An excellent foundation for a secure network is established by protecting data packets from their source to their destination. 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.

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

main automation maturity levels data   Read More

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.

main automation maturity levels data  the web service vendor maintains and updates the postal databases for you. Another point of entry your own data entry personnel can also be a source of inadvertent errors. The ability to check and standardize an address on the fly, before it is even stored, will serve to minimize bad addresses. To build an address checking logic into your data entry or CRM systems, consult the address verification tools mentioned above. If you don''t have the resources for that sort of development or your systems do not Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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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.

main automation maturity levels data  operational data lake, Hadoop RDBMS, operational data store, transactional database, transaction processing, big data repository Read More

Forrester TechRadar Report: Data Security


Data security is not just an IT issue these days but a business imperative, as data volumes explode and it is becoming a Herculean task to protect sensitive data from cybercriminals and prevent privacy infringements. As data volumes continue to rise, the burden of protecting sensitive data and preventing security breaches can be crushing. It is necessary to take a holistic, comprehensive, and long-lasting approach to data security that encompasses people, processes, and technology.

This Forrester TechRadar Data Security report provides a framework for developing a long-term approach to keeping your organization’s information secure. Data breaches and insider threats are becoming more common, and your organization needs to achieve compliance and secure privacy without affecting the bottom line. Most companies are also interested in adopting cloud, mobile, and other technologies, which can complicate data security matters even more.

This comprehensive and in-depth report evaluates 20 of the key traditional and emerging data security technologies. To make the report, Forrester interviewed over 40 experts, customers, and users, and drew from a wealth of analyst experience, insight, and research.

Use this report to get informed about what you need to consider to restrict and strictly enforce access control to data, monitor, and identify abnormal patterns of network or user behavior, block exfiltration of sensitive data, and render successful theft of data harmless.

main automation maturity levels data  data security, Intralinks, data, security, data monitoring, data breach, protect data, data protection, enterprise data security Read More

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