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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...
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...
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...
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...
IT Services
Infosys IT infrastructure services include infrastructure management for servers, security, database, applications, and networks. @

it data life cycle management  Services Infosys IT infrastructure services include infrastructure management for servers, security, database, applications, and networks. Read More...
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

it data life cycle management  sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. Read More...
Case Study: SAP and Sales Management
To achieve global transparency of all customer relationships, SAP AG upgraded to the latest release of the SAP customer relationship management (CRM

it data life cycle management  upgrade is part of its CRM Clear Vision Program. Learn how the upgrade to a single global solution helped SAP AG achieve effective collaboration, better visibility, improved productivity, and stronger customer relationships. Read More...
Asset Management
Enterprise asset management (EAM) and computerized maintenance management systems (CMMS) enable the planning, controlling, and monitoring of physical asset

it data life cycle management  the planning, controlling, and monitoring of physical asset events and maintenance tasks as they pertain to plants, equipment, and facilities. EAM/CMMS systems span all phases of the asset life cycle across all services, including investment planning, specification, design, operations and maintenance, and disposal. EAM/CMMS systems help managers better allocate equipment and resources, and ensure that proper and timely maintenance is carried out. Read More...
Project Portfolio Management for Service Organizations: Bridging the Gap between Project Management and Operations
There are two types of project portfolio management (PPM) solutions for professional services organizations (PSO). For smaller PSOs, best-of-breed vendors

it data life cycle management  repackaged themselves for internal IT departments, while numerous vendors that originated in the billing and financials software market have focused their efforts on the billable services sector, where they can provide ERP functionality to meet the unique needs of PSOs. PSOs want complete PPM solutions that address their business as a whole. For service organizations, efficiently capturing time, billing, and expense data is a key component to bridging projects and operations. Thus, PSOs look to PPM Read More...
Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization
Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive

it data life cycle management  data patterns within databases. It is used as a tool to discover patterns among large amounts of data. Data mining allows organizations to identify why things happen, and helps them make connections between seemingly unrelated items. For example, if an organization wants to increase sales, identifying customer buying patterns with intuitive software saves time, and allows decision makers to focus on developing strategies based on those patterns (as opposed to spending their time identifying what those Read More...
Performance Management-What the Mid-market Can Learn from Large Enterprises
Performance management allows companies to align business activity with corporate objectives. This research examines the different levels of business

it data life cycle management  companies to align business activity with corporate objectives. This research examines the different levels of business performance achieved by mid-market companies compared with larger firms, as well as the differences in strategy, capabilities, and technologies used. Key recommendations are drawn for mid-market businesses to increase the value they derive from performance management. 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...
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...

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