Home
 > search for

Featured Documents related to »  data driven mapping


A Demand-driven Approach to BI
The core concept behind the Vanguard solution is that business intelligence (BI) must be demand-driven, which means that the business needs of the user dictate

data driven mapping  by making the underlying data architecture transparent to the users, who have access to information from multiple systems, platforms, or locations, and view it in a functional user interface. To that end, Vanguard's Unified Information Model (UIM) ensures that the appropriate business rules are applied and the information appears in a consistent, integrated context (whereby the user environment allows business users to identify and retrieve exactly the information they need), and provides easy-to-use Read More...
Configure Price Quote (CPQ)
Configure, price, and quote (CPQ) solutions (sometimes known as quote-to-order, or Q2O, systems) help drive sales effectiveness by supporting configuration and pricing activities and the generat...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » data driven mapping


Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

data driven mapping  overall application project. Successful data migration calls for a different strategy, one that enables iterative, flexible development to meet the organization's changing needs. The best approach and the only practical one is driven by the data and its constraints, with the team designing as it continues to learn more about the technical issues and business objectives of the project. Centralized Resources When organizations view each application project as a standalone effort, they often don't realize Read More...
A Well-designed Solution for Sourcing: Its Technological Foundation and How It Works
TradeStone has developed an application that can be quickly configured to shift data in and out of traditional enterprise planning systems. Organizations can

data driven mapping  leverage existing applications (with data views and extraction from several disparate source systems) such as order management systems, warehouse management systems (WMS), item master, vendor master, and so on; and the ability to aggregate them on a single screen, thus minimizing traditional hard-coded integration costs. The product was also designed for collaboration from the ground up, to leverage e-mail alerting and workflows, so as to reduce dependency on pesky and tardy phone and fax Read More...
Lean Manufacturing: Reaping the Rewards of Lean through Response Management
For years, manufacturers have been driven by sales forecasts and the need to maximize production efficiency at every level of operation. But in order to be

data driven mapping  access the live, up-to-date data that their decision-makers need to achieve corporate goals, including minimizing inventory and waste, shortening lead times, and producing to demand. By using software to eliminate the information gaps that limit flexibility, they can unleash the real potential of their lean enterprise. Where it all Began: The Origin of Lean Over a century ago the world witnessed a revolution as mass production replaced the craft production that had been prevalent for so long. Since then, 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 driven mapping  larger than expected. A data migration requirement can be driven by a range of initiatives, such as an application replacement or upgrade, the need to consolidate data within a data warehouse, or a requirement to create a single view of product within an organization. In cases where migrated data is transformed for new uses, your project team encounters some very specific management and technical challenges. For example, a team that has been writing extraction, transformation, and load (ETL) code for a Read More...
Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

data driven mapping  increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

data driven mapping  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

data driven mapping  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
Powerful Solutions for Project-driven Organizations
Too often, project-driven organizations are faced with a difficult choice: they can choose best-of-breed business applications and integrate them at great cost,

data driven mapping  with materials capture One-time data entry Enterprise portfolio visibility Resource utilization Team collaboration Centralized project documentation Earn Accurately Project financial reporting Shorter billing cycles Flexible invoicing Recognize revenue accurately Contract management Adapt to Meet Changing Needs Integrated functionality Configurable and customizable An investment for the future Total ownership experience Searches related to Powerful Solutions for Project - Driven Organizations : powerful Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data driven mapping  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

data driven mapping  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More...
An Improved Architecture for High-efficiency, High-density Data Centers
Globally, data center power and cooling infrastructure wastes more than 60 million megawatt-hours per year that do not contribute usefully to powering IT

data driven mapping  Architecture for High-efficiency, High-density Data Centers An Improved Architecture for High-Efficiency, High-Density Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data driven mapping  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data driven mapping  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others