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Documents related to » definition of data warehousing olap


Business Process Overview: Warehousing Solutions
Business Process Overview: Warehousing Solutions. Search for Templates and Other Software to Delineate Your Evaluation Concerning the Business Process and Warehousing Solutions Warehousing processes are critical for the success of a distribution business. These processes are highly visible to your customers, and have a direct impact on their opinion of your company. If you cannot get the goods to your customers in the most efficient way, you risk losing their business. Your warehousing and logistics operations must translate into reliability and service.

DEFINITION OF DATA WAREHOUSING OLAP: Business Process Overview: Warehousing Solutions Business Process Overview: Warehousing Solutions Source: IBS Document Type: White Paper Description: Warehousing processes are critical for the success of a distribution business. These processes are highly visible to your customers, and have a direct impact on their opinion of your company. If you cannot get the goods to your customers in the most efficient way, you risk losing their business. Your warehousing and logistics operations must translate into
11/16/2006 2:23:00 PM

Warehousing Management: Yard Management, Competitive Analysis, and Challenges
The business remains challenging to even the most established vendors, since an intensifying product architecture rejuvenation and functional enhancements cycle, the pressure from the ERP intruders, and continued market consolidation exert fiscal pressure across the sector.

DEFINITION OF DATA WAREHOUSING OLAP: Warehousing Management: Yard Management, Competitive Analysis, and Challenges Warehousing Management: Yard Management, Competitive Analysis, and Challenges P.J. Jakovljevic - August 31, 2005 Read Comments Extension to Yard Management Enterprise systems are penetrating every aspect of a company s operations. For some time now, organizations have realized that the warehouse must become a dynamic area. Warehouse personnel must have access to real-time data to closely match supply and demand and to streamline
8/31/2005

Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture.

DEFINITION OF DATA WAREHOUSING OLAP: Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete Source: SAP Document Type: White Paper Description: The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its
7/26/2013 3:40:00 PM

Demand-driven Manufacturing and Warehousing: Challenges and User Recommendations
Among its promising initiatives, IBS offers flexible rescheduling tools that integrate with existing manufacturing resource planning systems. Its warehousing solution also promises better use of space, and automates reception put-away, etc. However, the vendor still must navigate through some rough competitive terrain.

DEFINITION OF DATA WAREHOUSING OLAP: (RF), storage and product definition, and warehouse administration and monitoring. IBS WMS process helps ordered be picked faster and with increased accuracy. Processes are based on product movement frequency, optimized resource activity through precise and accurate instruction handing. Fast return on investment (ROI) with staged implementation possibilities can be achieved. Ultimately, the ideal WMS keeps items in the warehouse are moved quickly and as accurately as possible. The application must
9/9/2005

Six Misconceptions about Data Migration
A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how that data will be used and its importance to the operation of the enterprise.

DEFINITION OF DATA WAREHOUSING OLAP: to data and data definition are to be avoided whenever possible, because any change has the potential of impacting, to an exponential degree, other data. Making just one minor change on a data element, a field, a code, or a table may impact many, many data and processes. For example, a simple change to a unit of measure from each to pounds can affect the quantity on hand, the unit cost, the cost of goods sold, and the total inventory value. Lesson learned: Any changes made to data, tables, or
6/23/2008

Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

DEFINITION OF DATA WAREHOUSING OLAP: difficult to modify. This definition is enough to give you an appetite to get rid of your legacy application. However, every legacy application has its close associate: the legacy data being maintained and used through that application. When legacy modernization is planned for example, replacing the legacy application with an ERP system the data part is often overlooked. This can be killing for the new and often expensive application. Recently I worked for two organizations, both in the process of
8/23/2002

How Healthy Is Your Data Center?
IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access solution for a health care environment.

DEFINITION OF DATA WAREHOUSING OLAP: How Healthy Is Your Data Center? How Healthy Is Your Data Center? Source: Minicom Document Type: White Paper Description: IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access
10/10/2011 4:04:00 AM

A CRM System Needs A Data Strategy
A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.

DEFINITION OF DATA WAREHOUSING OLAP: A CRM System Needs A Data Strategy A CRM System Needs A Data Strategy David McNamara - July 3, 2003 Read Comments Introduction An underutilized customer relationship management (CRM) system - or one that cannot match its owner s expectations - will reflect poorly on both the vendor who sold it and the IT manager who authorized the purchase and installed it. Both, however, can help successfully manage such expectations (and add value to their respective roles) by wisely counseling about the strategic
7/3/2003

How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

DEFINITION OF DATA WAREHOUSING OLAP: How to Use Data Management Successfully How to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren t managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account,
6/23/2009

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

DEFINITION OF DATA WAREHOUSING OLAP: About Big Data About Big Data Jorge García - November 18, 2011 Read Comments There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement
11/18/2011 2:08:00 PM

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.

DEFINITION OF DATA WAREHOUSING OLAP: Data Quality Strategy: A Step-by-Step Approach Data Quality Strategy: A Step-by-Step Approach Source: SAP Document Type: White Paper Description: 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
3/16/2011 2:03:00 PM


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