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Software Functionality Revealed in Detail
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 risk data loss


Operational Risk Management in the World of Big Data
Today, with operational risk emerging as a primary risk threat in all major economies, market players are looking to the potential of big data as a primary

risk data loss  Risk Management in the World of Big Data Today, with operational risk emerging as a primary risk threat in all major economies, market players are looking to the potential of big data as a primary driver of next-generation operational risk management. Drawing on current IBM research in the field of big data, this paper shows how operational risk solutions can harness the potential of big data to inform risk management scenarios and analytics.

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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.

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.

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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 » risk data loss

Three Ways ERP Can Help Manage Risk and Prevent Fraud


If enterprise resource planning (ERP) isn't properly implemented to manage risk, your organization may face loss due to fraud or other hazards. Take advantage of ERP's capacities for role-based security, on both the business and the IT sides of your processes.

risk data loss  even further reduce the risk of financial loss through administrative mistakes or fraud. The specific steps necessary to ensure compliance with these guidelines will differ from one company or business model to the next, but any company needs to pay attention to such basics as good financial statements, data security, privacy, and housing of key information—and how that information affects things like ensuring accurate financial reporting. Part of this top-down approach involves identifying what 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.

risk data loss  Failed or improper backup Risk of data losses until next scheduled backup Automated, continuous, non-disruptive data protection Accidental or malicious deletion of files Painstaking reloading of tapes; risk of overwriting newer data Simple drag-and-drop process to restore files Corruption of critical database Days of downtime until an expert can correct the problem Virtual restore capabilities for on-demand point-in-time access Loss of important e-mail or contact information Permanent loss of the data Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

risk data loss  Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More

Technology's Role in an Effective Enterprise-wide Operational Risk Program


The current focus in operational risk management is on enterprise-wide data capture across loss events, key risk indicators and self-assessments, with follow-up actions based on triggers. A system should satisfy regulatory requirements, such as Basel II and the US Sarbanes Oxley Act, and be built in a manner that minimizes the impact of changing business management functionality.

risk data loss  current focus in operational risk management is on enterprise-wide data capture across loss events, key risk indicators and self-assessments, with follow-up actions based on triggers. A system should satisfy regulatory requirements, such as Basel II and the US Sarbanes Oxley Act, and be built in a manner that minimizes the impact of changing business management functionality. 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.

risk data loss  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. Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

risk data loss  Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and 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

risk data loss  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 their data as well as to ways to capture the most valuable Read More

Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

risk data loss  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. 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.

risk data loss  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

Mitigating Compliance Risk from Third Party Intermediaries


Compliance officers need steady nerves to manage the legal and compliance risks posed by third-party intermediaries. Regardless of how well respected the third-party organization, how well written the contract, or how well established the brand company’s in-house compliance program, compliance requires effective third-party risk management. Read this paper and know the 5 critical steps in managing third-party compliance risk.

risk data loss  Compliance Risk from Third Party Intermediaries Compliance officers need steady nerves to manage the legal and compliance risks posed by third-party intermediaries. Regardless of how well respected the third-party organization, how well written the contract, or how well established the brand company’s in-house compliance program, compliance requires effective third-party risk management. Read this paper and know the 5 critical steps in managing third-party compliance risk. 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.

risk data loss  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 Read More

How to Comply with Data Security Regulations


A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you can create a routine that archives files you select for backup and storage.

risk data loss  not in compliance, but risk the more serious consequences of losing their clients' data. Take a free 30-day trial and see how easy compliance can be. Searches related to How to Comply with Data Security Regulations : Your Client Data | Why Using Data Protection | Whole Disk Encryption | Whats is Database Protection | What is Data Security | What Does Bizdomain | Tape Data Backup | Tape Backup Data Storage | System Data | System Backup Software | Struggling with Data Security | State Data Protection | Read More

Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

risk data loss  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

risk data loss  failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and there will be more. The way that information is managed touches all areas of life. At the turn of the 20th century new flows of information through channels such as the telegraph and telephone supported mass production. Today the availability of abundant data enables companies to cater to small niche markets anywhere in the world. Economic production used to be based in the factory, where Read More