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Are Data Warehouses as Dead as the Dodo? (Part 2: 1010data and Illuminate)
Although information analysis continues to be vital for insights into a company’s health and future, the traditional data warehouse structure may already be

data warehouse dead  and future, the traditional data warehouse structure may already be past its best-before date, due to major and radical transformations in the market. It may just be a matter of “Evolve or Die”. . . Indeed, in my last blog post Are Data Warehouses as Dead as the Dodo? (LiveDashBoard and QlikView) , I talked about how some software providers are dramatically changing the traditional way we design and deploy a data warehouse solution. I specifically reviewed two interesting solutions available in the 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 » data warehouse dead


ERP - Distribution Showdown! Microsoft Dynamics NAV vs. Retalix vs. Epicor Enterprise
I'm Dylan Persaud, senior analyst at Technology Evaluation Centers. Welcome to another in our ongoing series of enterprise software Showdowns. Today's Showdown

data warehouse dead  the most recent RFI data supplied to us by the three vendors, indicating their level of support for each of the 3,416 functional criteria in our ERP - distribution evaluation center. Results ERP - distribution overall rankings with HR and financials (back office) ERP - distribution overall rankings without HR and financials (back office) The two charts above show the overall rankings. With back-office functionality included, Microsoft finishes first, barely edging past Epicor in the number two slot, with Read More...
Why Systems Fail - The Dead-end of Dirty Data
If your data does not reflect reality, the system can never be effective. In today’s world of collaboration, showing a trading partner dirty data is giving them

data warehouse dead  The Dead-end of Dirty Data Introduction If your data does not reflect reality, the system can never be effective. In today's world of collaboration, showing a trading partner dirty data is giving them the wrong message and tearing down the trust called for in a collaborating partnership. What is dirty data? When reality and the data in your system do not agree, you have dirty data. It may be as simple as having 1000 units of an inventory item on the shelf and the system says you have 900 or 1002. It may Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data warehouse dead  Customer Data Management , Data Warehouse Management , Data Management Marketing , Server Data Management , Data Management Solutions , Data Management Technology , Data Content Management , Data Centre Management , Data Management Tools , Free Data Management , Network Data Management , Web Data Management , Test Data Management , Data Management Companies , Global Data Management , Data Lifecycle Management , Online Data Management , Data Management Application , Performance Data Management . Contents Read More...
Dell's 8-CPU Intel Servers Increasing Its Enterprise Focus
Dell began shipping its eight-CPU Intel server, the PowerEdge 8450, in late September. This comes on the heels of Compaq's shipment of its ProLiant 8000 and

data warehouse dead  computing environments, such as data warehouses or server consolidation, and users who need high performance computing plus the flexibility of mixing and matching components in a rack. The feature set and hardware reliability features are good, and the only technology concern is based in the Profusion chipset, due to its newness. However, Dell's use of an Intel-designed board set should reduce Profusion-related concerns, after the current Xeon/Saber problems are resolved. The limited OS offerings should Read More...
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

data warehouse dead  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. Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

data warehouse dead  Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commissioning team Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

data warehouse dead  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

data warehouse dead  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

data warehouse dead  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
Transactional Data: Driving Real-Time Business
A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business

data warehouse dead  volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. 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 warehouse dead  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...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

data warehouse dead  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

data warehouse dead  Enterprise Data: Data at the heart of the company The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More...

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