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Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

a data warehouse is always  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More...
Warehouse Management Systems (WMS)
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction...
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Documents related to » a data warehouse is always


Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe

a data warehouse is always  not agree, you have a data quality problem. The system says you have 10,000 cases but you actually have 9,850. A customer's ship-to address is out of date. You have the same piece of information in two places in two applications or even two systems, but they do not agree. Many things can cause data quality problems. Transactions may have been inaccurately recorded, 1002 units were picked but 1020 were recorded. Maybe the physical act was flawed, a pick list calls for 1,000, the transaction is recorded as Read More...
IBM and Deutsche Telecom Announce Plans for 100 Terabyte Data Warehouse
According to an announcement by International Business Machines on Thursday December 16, 1999, IBM is working with German telecommunications services company

a data warehouse is always  2000. Market Impact As a point of reference, 100 terabytes is 109,951,162,777,600 bytes of data. Very few data warehouses have extended into the multi-terabyte range. The cost of the hardware associated with an effort of this scale is enormous. In addition, the largest cost of a warehouse is the manpower and processing required to actually load the transactional data into the warehouse. If this effort is successful, other large organizations may consider enterprise scale data warehouses of similar size. Read More...
Is There a Smarter Way to Handle Excess Active and Obsolete Inventory?
Imagine the convenience of a 24x7 intranet marketplace where companies could sell off their inventory to the highest bidder. FreeFlow is one such business

a data warehouse is always  liquidating excess inventory via A single accounts receivable (AR) and customer master data set-up, whereby FreeFlow handles all further account management with the broker community, regardless of their numbers Managing freight and logistics, thereby ensuring delivery to the user company's terms (the user company no longer has to add the cost of freight to already thin excess inventory recoveries) Managing collections from all sales and paying the user company in a single monthly payment Whether a user Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

a data warehouse is always  no overhead of implementing a data warehouse onsite, and there is no need for an information technology (IT) department to service, maintain, and support the database. Instead, organizations can focus on meeting their business goals, and not get bogged down with infrastructure issues. The challenge is always getting access to the data in the underlying source systems and deciding the type of cloud model that best suits the company. Is it ok to run analytic projects in the public cloud or would it be Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

a data warehouse is always  in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Data Center Economics: Analyzing Challenges and Opportunities
In order to meet data center challenges, organizations must take measures to consolidate data centers and look at outsourcing arrangements and alternate models

a data warehouse is always  However, because carrying out a data center strategy typically requires a large investment in time and costs, organizations today are making tactical decisions that have minimal impact. While some organizations are contemplating alternate models for data center management, others seem to be dragging their feet in making any meaningful changes to their strategy. Find out more in this report on results from a survey that included 75 CIOs and heads of IT from Fortune 1000 companies across US, Europe, and Read More...
What Is Outsourceable and What Is Not
Product engineering outsourcing (PEO) has evolved over the years. The process, from initiation to the closing phase, vary depending on the product and on the

a data warehouse is always  Is Outsourceable and What Is Not Product engineering outsourcing (PEO) has evolved over the years. The process, from initiation to the closing phase, vary depending on the product and on the provider. Still, practically every phase in product engineering is outsourceable—from ideas, design, and analysis, to simulation, conversion, and documentation; to prototyping, testing, production, and knowledge-based engineering. Find out more. Read More...
Charting a Better Course for Your Business: Eight Rules for Investing in a New Accounting System
A good financial and accounting system should propel your business forward. It should give you the specific insights you need to spot the storms ahead, help you

a data warehouse is always  a Better Course for Your Business: Eight Rules for Investing in a New Accounting System A good financial and accounting system should propel your business forward. It should give you the specific insights you need to spot the storms ahead, help you maximize resources with streamlined processes, and be nimble enough to help you navigate the changing currents of today’s business environment. Download this white paper to make sure you have the facts straight about what to look for—and what to Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

a data warehouse is always  business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure. Read More...
Pragmatist's Guide: Building a Business Case for a Formula-based ERP
If you're a process manufacturer taking a close look at the option of acquiring an enterprise resource planning (ERP) solution, you may be finding that you're

a data warehouse is always  s Guide: Building a Business Case for a Formula-based ERP If you're a process manufacturer taking a close look at the option of acquiring an enterprise resource planning (ERP) solution, you may be finding that you're faced with a bewildering array of options, technologies, and applications. What should you look for, and which business issues do you need to address to position your acquisition-and implementation-for maximum success? Download this report to find out. Read More...
Master Data Management
It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your

a data warehouse is always  Data Management It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your organization. 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

a data warehouse is always  strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
Warehouse Management Systems (WMS) Software Evaluation Report
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same

a data warehouse is always  (WMS) Software Evaluation Report A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. Read More...

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