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Documents related to » data warehousing olap etl


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.

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11/16/2006 2:23:00 PM

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.

DATA WAREHOUSING OLAP ETL: 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 implementation faster, more
7/26/2013 3:40:00 PM

Who Needs Warehousing Management and How Much Thereof?
The warehouse is no longer merely a static storage facility. It now has to use virtually real-time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain.

DATA WAREHOUSING OLAP ETL: communications, allowing near real-time data transfer between the system and warehouse personnel. These systems aim at maximizing space and minimizing material handling by automating put-away processes. It also uses enhanced picking strategies aimed at speeding product movement by determining the most efficient route. Sophisticated techniques such as cross-docking or flow-through distribution further allow products with short life cycles to move immediately to shipping. For instance, cross-docking or
8/30/2005

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.

DATA WAREHOUSING OLAP ETL: to use near real-time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain. Therefore, due to the supply chain execution (SCE) software s capability to handle these complex requirements, there has been a trend of postponing many light manufacturing operations, such as final assembly, customized packing, labeling, engraving, etc. from shop floors to warehouses and distribution centers (DC). Consequently, a warehouse
9/9/2005

Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.

DATA WAREHOUSING OLAP ETL: Data Center Projects: System Planning Data Center Projects: System Planning Source: APC by Schneider Electric Document Type: White Paper Description: System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively
12/10/2008 9:35:00 AM

Spend Data Warehouse “On Steroids”
It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics.

DATA WAREHOUSING OLAP ETL: Spend Data Warehouse “On Steroids” Spend Data Warehouse “On Steroids” Source: Zycus Document Type: White Paper Description: It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need
4/5/2007 1:58:00 PM

Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

DATA WAREHOUSING OLAP ETL: Data Quality: A Survival Guide for Marketing Data Quality: A Survival Guide for Marketing Source: SAP Document Type: White Paper Description: Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information
3/16/2011 1:15:00 PM

Implementing Energy-efficient Data Centers
Electricity costs are an increasing portion of the total cost of ownership (TCO) for data centers. But you can dramatically reduce the electrical consumption of typical data centers through appropriate design of both the network-critical physical infrastructure and IT architecture. Discover how to quantify electricity savings and learn about methods that can greatly reduce your data center electrical power consumption.

DATA WAREHOUSING OLAP ETL: Implementing Energy-efficient Data Centers Implementing Energy-efficient Data Centers Source: APC by Schneider Electric Document Type: White Paper Description: Electricity costs are an increasing portion of the total cost of ownership (TCO) for data centers. But you can dramatically reduce the electrical consumption of typical data centers through appropriate design of both the network-critical physical infrastructure and IT architecture. Discover how to quantify electricity savings and learn about
12/4/2008 12:15:00 PM

How to Comply with Data Security Regulations
The best-kept secrets of Data Security secrets revealed!Get and read our whitepaper for free! A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you can create a routine that archives files you select for backup and storage.

DATA WAREHOUSING OLAP ETL: How to Comply with Data Security Regulations How to Comply with Data Security Regulations Source: BizDomainStore.com Document Type: Checklist/Guide Description: A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you
7/13/2009 2:16:00 PM

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

DATA WAREHOUSING OLAP ETL: 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

Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

DATA WAREHOUSING OLAP ETL: Customer Data Integration: A Primer Customer Data Integration: A Primer Lyndsay Wise - September 11, 2009 Read Comments Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service.
9/11/2009


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