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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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 it protecting 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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » it protecting data

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.

it protecting data  iSCSI, iFCP and FCIP. It is also quickly becoming the standard for protecting applications and data inside the enterprise network. IPSec provides three levels of data security: confidentiality, authentication and integrity. Confidentiality: Keeping the data secret. IPSec uses powerful standard encryption algorithms (AES or 3DES) to protect data from being accessed by unauthorized parties. Authentication: Trusting the source. IPSec uses packet authentication to verify who''s on the other end of a channel Read More

Protecting Sensitive Data on Shared Networks: How to Provide Persistent Encryption of Confidential Folders on Corporate Networks


Companies want to manage security risks and encryption to protect data and to comply with industry guidelines. The desire to separate network management from document ownership can create additional security concerns, as IT services are outsourced. To address these issues, you need to ensure your security solution provides visible and on-going encryption of sensitive data files shared on your networks. Learn more.

it protecting data  additional security concerns, as IT services are outsourced. To address these issues, you need to ensure your security solution provides visible and on-going encryption of sensitive data files shared on your networks. Learn more. Read More

Protecting Digital Assets: A Higher Level of IT Security


Today’s business environment is more mobile than ever. With more employees traveling—using laptops, personal digital assistants (PDAs), and home computers to conduct business—vulnerabilities increase. Companies are now protecting their digital assets with full disk encryption (FDE). Recent advances in FDE allow businesses to protect data stored on users’ mobile devices, without jeopardizing intellectual property.

it protecting data  A Higher Level of IT Security Today’s business environment is more mobile than ever. With more employees traveling—using laptops, personal digital assistants (PDAs), and home computers to conduct business—vulnerabilities increase. Companies are now protecting their digital assets with full disk encryption (FDE). Recent advances in FDE allow businesses to protect data stored on users’ mobile devices, without jeopardizing intellectual property. Read More

Are You Adequately Protecting Your IT Infrastructure Components Inside the Firewall?


Components such as applications, databases, web servers, directories, and operating systems rely mostly on built-in security features. But passwords and privileges are hardly enough, considering that many users have elevated privileges and fail to follow established corporate procedures.

it protecting data  You Adequately Protecting Your IT Infrastructure Components Inside the Firewall? Originally published - August 16, 2006 Networks are commonly protected by specialized software such as firewalls, antivirus, and network access control products to prevent unauthorized access and activity. Yet other IT infrastructure components, including applications, databases, web servers, directories, and operating systems rely mostly on the security mechanisms that come as part of the product’s built-in feature set. Read More

Protecting Virtual Servers with Acronis True Image


While virtualization technology can simplify server management and reduce operating costs, in production environments it presents a disaster-recovery challenge. The problem: simply backing up a host server doesn’t always ensure that data within virtual machines is recoverable. With Acronis’s True Image, IT managers can rest assured their data, settings, applications, and operating systems are protected against disaster.

it protecting data  costs, in production environments it presents a disaster-recovery challenge. The problem: simply backing up a host server doesn’t always ensure that data within virtual machines is recoverable. With Acronis’s True Image, IT managers can rest assured their data, settings, applications, and operating systems are protected against disaster. Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

it protecting data  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

it protecting data  Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. 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.

it protecting data  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. Read More

Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

it protecting data  considered a one-time exercise. It has to be integrated as a core element in managing a business. Defective data quality leads to customer complaints and customer defection. Therefore, it is imperative to clearly define a standard for your data requirements and how these requirements should support specific business objectives. One common affliction of data quality is a result of the fast pace of business environments. Information is constantly evolving. People are constantly moving in and out of Read More

Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

it protecting data  how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain. Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

it protecting data  and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how. 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.

it protecting data  types of corporate data. It explains why data quality projects often evolve into master data management projects, and discusses how master data can be extracted from unstructured business content and integrated into traditional corporate data systems. The paper looks at the role of data cleansing tools in helping improve data consistency and accuracy, and explains why companies need to take an enterprise-wide approach to data cleansing and data quality management. Products and use cases from Business Read More

Compliance, Not Conflict: From IT Security vs. IT Operations,


It’s an inescapable, undisputable fact that most organizations have conflict between IT security and IT operations. Having been given two distinctive—yet potentially contradictory—goals, in a sense they were destined to be at odds with one another. What does it take to bridge the gap between these two teams to achieve compliance? Can standardized processes and software tools help (or hinder) this effort? Find out here.

it protecting data  Not Conflict: From IT Security vs. IT Operations, It’s an inescapable, undisputable fact that most organizations have conflict between IT security and IT operations. Having been given two distinctive—yet potentially contradictory—goals, in a sense they were destined to be at odds with one another. What does it take to bridge the gap between these two teams to achieve compliance? Can standardized processes and software tools help (or hinder) this effort? Find out here. Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

it protecting data  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

it protecting data  Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More