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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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 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

Do You Need a State-of-the-art ERP Solution?


As your company grows, you must continually evaluate whether your work processes and IT solutions can solve your problems and help grow your business. By performing a gap analysis, you can look at where your business is headed and whether you have the right tools to get there. This white paper can help you perform a preliminary gap analysis to determine whether you need to upgrade your IT solutions and business processes.

data loss solution  do modifications of sensitive data trigger alerts and additional requests for approval before being processed?   5. Do your processes and systems adapt and scale with your business? You will want your technology solutions to not only flexibly support your business as it is today, but to accommodate your needs in the future. Are your systems flexible and scalable? Look for the following capabilities: Configurable workflows —Do your software applications allow you to support current and future business p 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

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 hours� Read More

Stemming the Loss of Knowledge Capital: A Business Fix for Manufacturers


The clock is ticking for manufacturers to come up with a solution to the ongoing loss of knowledge capital. Their best hope lies in introducing knowledge management strategies across the enterprise—before it’s too late.

data loss solution  systems and cumbersome, outdated data storage mechanisms. To be competitive, manufacturers need to move beyond Excel spreadsheets and other manual systems, as old programming languages are difficult to maintain and do not keep pace with changes in business. Today, application logic has improved, and the state of application integration across the enterprise is far better than it was before. Executive stakeholders should devise a plan to reduce dependency on outdated infrastructures, and consider implement Read More

How to Use Data Management Successfully


Find out in the white paper master data management: extracting value from your most important intangible asset.

data loss solution  to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren''t managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account, but other parts of the company aren''t Read More

2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

data loss solution  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More

Containerized Power and Cooling Modules for Data Centers


Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized “site integration” mentality. This white paper compares the cost of both scenarios, presents the advantages and disadvantages of each, and identifies which environments can best leverage the facility module approach.

data loss solution  and Cooling Modules for Data Centers Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized Read More

Garbage in, Garbage out: Getting Good Data out of Your BI Systems


Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data loss solution  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you''ll learn about the steps in the data delivery cycle, the problems can occur at each step, Read More

Midmarket/Enterprise ERP Solution Comparison Guide


The Midmarket/Enterprise ERP Solution Comparison Guide makes it easy to compare the most popular ERP systems including solutions from leading vendo...

data loss solution  midmarket enterprise erp solution comparison guide,midmarket,enterprise,erp,solution,comparison,guide,enterprise erp solution comparison guide,midmarket erp solution comparison guide,midmarket enterprise solution comparison guide,midmarket enterprise erp comparison guide. Read More

The Why of Data Collection


Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

data loss solution  Why of Data Collection Introduction Data collection systems work. However, they mean an investment in technology. Before we can justify that investment, we need to understand why we may want to use a data collection system in place of people with clipboards. What is data collection? In a general sense, it is the manual or automated acquisition of data. That definition has evolved to mean various automated methods of data acquisition. Examples of data collection include time and attendance devices, bar Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

data loss solution  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More

Clarity Solution Group


Clarity is the largest independent U.S. consultancy focused exclusively on data management and analytics. It delivers enterprise-class, full lifecycle solutions on a national scale.

data loss solution  consultancy focused exclusively on data management and analytics. It delivers enterprise-class, full lifecycle solutions on a national scale. 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 loss solution  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 Read More