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
 

 data management systems


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

data management systems  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 their data as well as to ways to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI

Read More


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

Customer Relationship Management (CRM)

Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they are phone, mail, Web, or field. The company can then use this data for specific business purposes, marketing, service, support or sales while concentrating on a customer centric approach rather than a product centric. Customer relationship management defines methodologies, strategies, software, and other web-based capabilities that help an enterprise organize and manage customer relationships. Customer relationship management applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services. 

Evaluate Now

Documents related to » data management systems

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

data management systems   Read More

GeoMetrix Data Systems


GeoMetrix is a privately-held company that provides enterprise learning management solutions for utilities, media, governments, universities, law enforcement agencies, commercial trainers, hospitals, and Fortune 1000 companies around the world. GeoMetrix Data Systems Inc. was founded in 1992 and is based in British Columbia, Canada. The company claims over 450 successful installations. The company's products handle scheduling, resource management, registration, reporting, launching, tracking, assessment and skills gap analysis.

data management systems   Read More

Applying an Economic Model to IT Management: Operations Management in the Virtual Data Center


Virtualization systems have been replacing traditional, silo-based IT architectures to consolidate resources and workloads, but virtualization requires resource and performance management technologies designed to handle dramatically different, complex behaviors. This white paper describes a supply chain economy approach, which combines monitoring, analytics, and actions to enable proactive virtualization management.

data management systems   Read More

The Complete Systems Management Book: An Introduction to Integrated and Automated IT System Management


Effective IT systems management is a challenge, especially for midsized companies that must maintain sophisticated IT environments without the budgets of their larger counterparts. This comprehensive guide provides IT newcomers—as well as experienced veterans—with all the information they need to understand the best ways to align people, processes, policies, and tools for a cohesive, streamlined, and supportable IT infrastructure.

data management systems   Read More

Enhancing Governance, Risk, and Compliance through Effective Risk Management


Embedding governance, risk, and compliance (GRC) management into all business process has become imperative. Companies need to adopt a holistic view when it comes to reducing and managing risks, and ensure better access risk management. This paper discusses the need for companies to take a proactive approach towards access risk management.

data management systems   Read More

Talent Management Best Practices in 2010


Download your copy of the Aberdeen report Cracking the Code for Talent Management.

data management systems   Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

data management systems   Read More

Vulnerability Management Buyer's Checklist


Here's an easy, effective way to cover yourself: download the vulnerability management buyer's checklist: key questions to ask before you select a ...

data management systems   Read More

Intelligent Workload Management


Computing infrastructure today though versatile must be used wisely. Intelligent workload management (IWM) allows for efficient consumption of computing resources while ensuring business tasks are supported by all needed resources—and that this is all done securely. IWM tools support the building, management, monitoring, and securing of workloads. See how to run your cloud computing system with leading-edge technology.

data management systems   Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

data management systems   Read More