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Documents related to » it data life cycle management


Information Life Cycle Management for Business Data
While companies have long seen their stores of data as valuable corporate assets, how they manage those stores varies enormously. Today, however, new government

it data life cycle management  time. Find out what IT managers are doing to meet these new regulatory requirements, and learn about solutions for storing vast quantities of data for the lowest possible cost. Read More
Enterprise Content Management: It Is More Than Just Web Content Management
Enterprise content management (ECM) is moving beyond web content management. To meet enterprises'' needs, large vendors are introducing scaled down versions

it data life cycle management  enterprise applications to interoperate. It enables content (unstructured and semi-structured data) to be exchanged, integrated, and managed securely between systems. This standardization is still in the innovators cycle. Information extraction is the process of retrieving elements of data from unstructured data, often text. Vendors will focus on this feature in the future to enable the end user to map and consolidate data, give easier access to information, and even provide competitive intelligence. Read More
Front-to-back-office Integration: Improving Your Customer Life Cycle Management
Research shows that back-office connectivity is not addressed by many customer relationship management (CRM) solutions@meaning, customer data cannot be shared

it data life cycle management  rekeyed and revalidated as it passes from one system to the next. The most accurate and up-to-date customer data is available to front- and back-office employees at all times. The most accurate and up-to-date pricing and inventory information is available to front-office staff at all times, meaning that quotes and orders are correct and that customers are accurately advised as to the lead-times of their orders using real-time information. Holistic Customer View SageCRM enables front- and back-office Read More
Product Life Cycle Management (PLM) in ProcessPart 3: Process PLM Requirements
A Process PLM system must accommodate rapid, global deployment of the system. This need drives specific requirements to minimize both the start-up and the long

it data life cycle management  project to be made, it is very important that the data used for decision making is strongly tied to the reality of the project, allowing key decision makers to drill down into the necessary details of the projects as required. Recommendations Product Life Cycle Management or PLM is a proven tool in increasing competitiveness. Process companies who consider product development a core competency should investigate PLM immediately to maintain their leadership in this area. Other companies should see PLM as 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

it data life cycle management  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 offers practical advice to facility owners and management. Read More
Systems Management Buyer''s Guide
Enterprises of all sizes struggle to find and deploy effective systems management solutions. In the solution evaluation process, they need to weigh feature

it data life cycle management  need to weigh feature/function criteria along with less tangible characteristics in order to make an appropriately calibrated decision. Download this guide from Dell KACE for a comprehensive feature/function checklist, as well as additional considerations for evaluating systems management solutions. 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

it data life cycle management  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
Looking Beyond Mobile Device Management to Mobile Application and Enterprise Mobility Management
The increasing possibilities that come from deploying mobile solutions in the workplace are now counterbalanced by an exponentially complex ecosystem of options

it data life cycle management  Mobile Application and Enterprise Mobility Management The increasing possibilities that come from deploying mobile solutions in the workplace are now counterbalanced by an exponentially complex ecosystem of options that can make navigating the corporate mobile landscape challenging and risky. This executive insight examines the needs for organizations to deploy a holistic enterprise mobility management solution that goes well beyond mobile device management. Read More
Intelligent Workload Management
Computing infrastructure today though versatile must be used wisely. Intelligent workload management (IWM) allows for efficient consumption of computing

it data life cycle management  support the building, management, monitoring, and securing of workloads. See how to run your cloud computing system with leading-edge technology. Read More
Integrating Customer Relationship Management and Service Resolution Management
The business case for integrating call center service resolution management into customer relationship management is becoming increasingly obvious, as companies

it data life cycle management  to users'' existing infrastructure. It is not at all uncommon to find dozens of systems in the service firm''s back offices, all of which have data that needs to be integrated with the new CRM system. Some of these systems can even go back a decade or more. Many of these systems, although ancient in the IT timescale, still deliver mission-critical services reliably and effectively, day in and day out. Thus, a modern CRM solution must easily and seamlessly share data bi-directionally with these systems, Read More
Customer Relationship Management (CRM)
When talking about relationship management in the context of software solutions, most people think of customer relationship management (CRM). However

it data life cycle management  a major role in facilitating effective relationship management among all parties involved. Read More
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

it data life cycle management  organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

it data life cycle management  management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More
Top Three Learning Management Trends for 2011
Learning management is a growing market in certain geographical areas and within specific industries. The availability of mobile and collaborative learning

it data life cycle management  particular course and send it to everyone in their school''s network, creating a virtual study group where students can log in, post their questions, and help each other find answers. This real-time collaboration provides a virtual world where learners engage in a common task and individuals are not only dependent on each other, but also accountable for their actions. At the corporate level, this collective intelligence opens up a whole new world of learning possibilities. Not only can users connect and Read More

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