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Software Functionality Revealed in Detail
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 data loss solution

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

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » data loss solution

Smart Grids: Data Theft, Revenue Loss, and Secure Solutions


While technology has made it possible to transmit power across geographies and time zones, power companies remain unable to fully leverage these developments. This is a result of the challenges posed by power theft from transmission and distribution lines spread across very large geographies. These leakages are the result of tampered meters and sloppy revenue protection strategies. One solution is to deploy smart grids that provide a high degree of real-time visibility, control, and responsiveness to activity on the grid. Learn more. Download this white paper now.

data loss solution  Grids: Data Theft, Revenue Loss, and Secure Solutions While technology has made it possible to transmit power across geographies and time zones, power companies remain unable to fully leverage these developments. This is a result of the challenges posed by power theft from transmission and distribution lines spread across very large geographies. These leakages are the result of tampered meters and sloppy revenue protection strategies. One solution is to deploy smart grids that provide a high degree Read More

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

data loss solution  consider each of these data loss threats in the context of each of your prioritized applications. What is your planned response for each threat, based on each application or data type? Recovery considerations There are a number of variables involved in developing a data recovery strategy (see Figure 4). The first variable is the recovery point objective (RPO) . RPO answers the question, How much data am I willing to lose? For example, running a tape backup every night would result in an RPO of 24 Read More

Choosing a Solution for Web Filtering: Software, Appliance, Managed Service?


There are three types of web security solutions: software-based, appliance-based, and managed services. Each needs to be evaluated against several key buying criteria, including the accuracy of threat protection, ease of installation and use, and total cost of ownership (TCO). Learn about the benefits of each category, and how they deal with all manner of web-borne security threats, including inappropriate use of the Web.

data loss solution  sensitive financial or client data to a criminal third party, cleaning and rebuilding a polluted machine will have unwelcome resource implications. Blocking access to malicious websites and infected downloads is therefore absolutely vital to safeguarding your organization''s productivity. The need to counter web-born malware has become all the more urgent in the face of a developing and significant trend on the messaging and web security landscape. Increasingly, the bad guys are mixing and merging their 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.

data loss solution  Safe Harbors Breaches and Data Loss The Vulnerabilities Expected to be Exploited in the Coming Years The Unending Proliferation of Security Patches The Evolution of Data Protection Beyond Treating the Symptoms Five Steps to Enterprise-Wide Data Protection Protecting the Network: More Than Just Encryption Real-World Data Protection Scenarios Protecting Data Storage Protecting Data Over Third-Party Networks Securing Sensitive Virtual Networks Protecting Wireless End-to-End Three-Step Deployment Roadmap Read More

How to Find the Right Virtualization Solution for You


Is scrambling to consolidate and virtualize your information systems department frazzling you and your hardware? Are management and infrastructure costs not as low as you’d like them to be? Separate your business applications from your physical server hardware—and make your virtual infrastructure more dynamic and flexible, while reducing costs. The trick is doing it without losing space or key data. Find out how.

data loss solution  failure goes beyond the data loss of the individual RAID group, because with RAID 50 the data loss affects the RAID 0 stripes written across all of the RAID 5 groups. For more information on RAID 50, see Figure 3 and http://en.wikipedia.org/wiki/Redundant_array_of_independent_disks#RAID_50_.28RAID_5.2B0.29. Network Appliance RAID-DP uniquely addresses the challenge of providing the highest level of data protection while requiring a minimal amount of storage. Introduced n 2004, RAID-DP exceeds the fault Read More

How Companies Use Data for Competitive Advantage


Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

data loss solution  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business 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.

data loss solution  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. Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

data loss solution  A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data. Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

data loss solution  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such a Read More

Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

data loss solution  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More

2013 Big Data Opportunities Survey


While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.

data loss solution  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More

Data Migration Best Practices


Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

data loss solution  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More

Melissa Data


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data loss solution  Data There are currently no details available for this vendor. However, we are working to update this vendor’s information in our database as soon as possible. Please check back again. Read More

Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

data loss solution  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization''s customer-related data does not affect a company''s bottom line, unless Read More

Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

data loss solution  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More