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E-mail Archiving: A Business-critical Application
Small and medium businesses are especially vulnerable to disruptions caused by e-mail loss, compliance demands, and the threat of e-discovery. Yet these

data archiving strategy  employees have more corporate data to draw on when working on projects as they have a virtually unlimited mailbox capacity. Reduced Costs With MessageLabs Email Archiving service, companies save IT staff and employee time, storage, hardware, and software investments, while it also facilitates regulatory compliance measures. All of this cuts costs while improving employee productivity and customer satisfaction. Increased Protection With a service-based solution such as MessageLabs Email Archiving there is Read More
Picture Archiving Communication Systems (PACS) for the Health Care Industry
PACS (Picture Archiving Communication System) manages the storage and display of digitized diagnostic images such as x-rays, CT Scans, and ultrasounds for use by radiologists and other clinician...
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Documents related to » data archiving strategy


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

data archiving strategy  | Data Architectures | Data Archiving | Data Back Up | Data Backup | Data Backup Service | Data Backup Services | Data Backup Software | Data Backup Solution | Data Backup Solutions | Data Backup Storage | Data Backup System | Data Backups | Data Breach | Data Breach Plan | Data Breach Reports | Data Breached | Data Breaches | Data Bus Architecture | Data Cleansing | Data Collection Architecture | Data Computer Solutions | Data Concepts | Data Confidential | Data Confidentiality | Data Defensible Architec Read More
10-Point Plan to Eliminate PST Files
With corporate e-mail, no single data set presents more challenges than Outlook Archives (aka PST files). This white paper provides steps to first identify all

data archiving strategy  corporate e-mail, no single data set presents more challenges than Outlook Archives (aka PST files). This white paper provides steps to first identify all PSTs, then enable automated removal. The benefits include reducing the burden on IT, consolidation of storage, complete e-discovery, and deletion of old data. This plan works with most e-mail archiving solutions as they are unable to discover or relocate PST files. Read More
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

data archiving strategy  data integration requirements and data quality needs against an off-the-shelf toolset. Simple things, such as populating a gender column based on customer name, come out of the package, and save significant amounts of time. The more complicated needs, such as matching and consolidation, are infinitely easer using dedicated tools. Don't make the mistake of thinking you are saving money by hand coding—you are risking your schedule and the quality of your product. Business Objects. Perform a Post-Migration 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

data archiving strategy  Data Management , Product Data Analysis Framework , Archiving Product Data , Engineering Data Product , Data Sheets Select Product , Product Data Management Category , Product Data Guide , Product Data Catalogue , Incorrect Product Data , Product Data Synchronization . CONTENTS Data Quality: What’s The Problem? The Cost of Poor Data Quality What Is Data Quality? Measuring Data Quality Components of a Data Quality Program A Business Process Perspective to Data Quality Types of Data Involved in Managing D Read More
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

data archiving strategy  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and Read More
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data archiving strategy  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white 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

data archiving strategy  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
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 archiving strategy  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
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

data archiving strategy  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life Read More
Rover Data Systems
Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized

data archiving strategy  Data Systems Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small ( Read More
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

data archiving strategy  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

data archiving strategy  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More
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

data archiving strategy  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 Read More
Active Strategy


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