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Documents related to » bi huge data warehouse


The Data Warehouse RFP
If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

BI HUGE DATA WAREHOUSE: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
12/12/2005 5:10:00 PM

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.

BI HUGE DATA WAREHOUSE: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
4/5/2007 1:58:00 PM

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

BI HUGE DATA WAREHOUSE: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
2/8/2008 1:14:00 PM

How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. But before any improvements can be made, they must first develop a warehouse management improvement strategy.

BI HUGE DATA WAREHOUSE: such factor is the possibility that the US is heading toward a recession. If it does, what will that mean for your warehouse? It could potentially cause a domino effect that will influence businesses and their activities—worldwide. Economic uncertainty has never been a blessing for manufacturers or distributors anywhere. As such business agility is no longer a nice-to-have. The Cost Factor The costs associated with the warehouse have a direct impact on supply chain activities. In order to keep track of
2/29/2008

Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs
To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse solution. Using the Pareto Principle, where a minority of inputs yields the majority results; examining your processes; evaluating your personnel; monitoring the progress of implementation; and testing are the best ways to ensure both a successful launch and long term return on investment.

BI HUGE DATA WAREHOUSE: and the fast and big return on investment, you need to know what type of features and functionality you should look for in a warehouse management system. The bells and whistles of a system might look enticing, but what you ultimately need to do is determine your own needs. Using the Pareto Principle, where a minority of inputs yields the majority results, evaluating processes and personnel, and testing can help you assess what your needs are in a warehouse management system. This is Part Two of a
10/1/2004

Top Four Tips to Rapidly Implement and Generate ROI from a Warehouse Management System
Discover the top four tips to rapidly implement and generate ROI from a warehouse management system (WMS). Download this free white paper. Congratulations! Your business case was approved and now you’re starting to consider implementing a warehouse management system (WMS). While you probably overcame some challenges, the next steps will be even more difficult if you are not adequately prepared. Learn four tips that will help ensure your WMS implementation moves rapidly toward a successful “go-live”—and toward a quick return on investment (ROI).

BI HUGE DATA WAREHOUSE: group has several key responsibilities, including: Testing the application Training warehouse resources Completing the physical preparation of the warehouse (racking, labeling, printers, etc.) IT – this group handles the technical components of the project, including: Setting up hardware and software Developing appropriate interfaces Establishing back-up and recovery procedures Asking your team to run a smooth project while trying to learn a new system is a recipe for disaster. It is important that
6/22/2009 11:15:00 AM

Warehouse Management for Natela Importers
As a leading food distributor in South Africa, Natela Importers built a new distribution center to meet its continued growth. However, managing a high volume of inventory with an outdated inventory management system was having a negative impact on their operations and customer service levels. By implementing an automated warehouse management system (WMS), Natela has decreased their picking costs by nearly 20 percent.

BI HUGE DATA WAREHOUSE:
5/29/2007 1:21:00 AM

Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

BI HUGE DATA WAREHOUSE: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
8/8/2013 1:47:00 PM

bluehorse-logo.png » The TEC Blog
Selection Tag Cloud analytics bi BPM Business Intelligence CAD Cloud Cloud Computing CRM customer relationship management Epicor ERP HCM hr human capital management ibm industry watch infor Manufacturing Mobile on demand Oracle plm product lifecycle management retail SaaS salesforce.com SAP SCM Software Selection talent management Categories Ask the Experts (12) BI and Performance Management (181) Business Process Matters (65) Customer Relationship Matters (159) FOSS Ecosystem (24) From the Project

BI HUGE DATA WAREHOUSE: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
08-07-2013

Warehouse Management Today: Balancing Financial Pressures and Growing Demands
An adaptive supply chain network allows all the stakeholders in the supply chain to share knowledge, make collaborative decisions, and immediately respond to changing conditions. But without an adaptive supply chain network, the potential for growth is limited. Warehouses that operate in real time with integrated forecasting, order management, and transportation are prepared to compete in today’s market. Find out how.

BI HUGE DATA WAREHOUSE: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
2/24/2009 12:48:00 PM

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

BI HUGE DATA WAREHOUSE: Data Quality MDM | BI Business Data Quality | BI Customer Data Quality | BI Data Quality | BI Data Quality Analysis | BI Data Quality Articles | BI Data Quality Assessment | BI Data Quality Business Intelligence | BI Data Quality Center | BI Data Quality Control | BI Data Quality Improvement | BI Data Quality Indicator | BI Data Quality Indicators | BI Data Quality Initiatives | BI Data Quality Issues | BI Data Quality Management | BI Data Quality Measurement | BI Data Quality Measures | BI Data Quality
9/9/2009 2:32:00 PM


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