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Documents related to » bi data warehouse automation


Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

bi data warehouse automation  note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More...
BI Market Consolidation Compared to ERP Market Consolidation
The BI market is ripe for consolidation, but not necessarily for the reason of capturing the scarce remaining market share like in the ERP case, but more likely

bi data warehouse automation  the entire project. Also, BI vendors often seem content to leave fragmented data models of the applications they will even try to enhance in the future, as their pet project is often mainly tackling the layer of decision, and leaving master data management (e.g., rationalization of supplier or item master data), bidirectional integration, or business process management (e.g., forecasting or sales planning) to enterprise vendors and/or their system integrators. Unfortunately, users want functional Read More...
SAP BusinessObjects Edge BI for Business Intelligence Certification Report
SAP''s business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who

bi data warehouse automation  Reporting and Analysis | BI Data Warehousing | Business Intelligence Data Warehousing | BI Leader | Business Intelligence Leader | BI Dashboard Capabilities | BI for Small and Midsize Organizations | BI Ease of Use | BI Workflow Design | BI Innovation | BI Layout | BI Interface | Business Intelligence Consultants | BI Performing Task | BI Security | BI EII | BI Enterprise Information Integration | BI ETL Process | BI Extract Transform and Load Processes | BI Information Retrieval | BI Reporting Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

bi data warehouse automation  and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

bi data warehouse automation  real time BI. Traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data warehouse (DW) to produce reports and analyses. However, the need is not just reporting, since users need business monitoring, analysis, and an understanding of why things are happening. The demand for instant, on-demand access to dispersed information has grown as the need to close the gap between the operational data and strategic objectives has become more pressing. As a Read More...
Sales Force Automation (SFA)
Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing

bi data warehouse automation  of analytic and reporting capabilities. Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

bi data warehouse automation  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More...
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

bi data warehouse automation  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available Read More...
Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization
Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as

bi data warehouse automation  Data Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile Read More...
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

bi data warehouse automation  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with Read More...
Warehouse Advantage
pdg group model 1270

bi data warehouse automation   Read More...
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

bi data warehouse automation  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More...
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

bi data warehouse automation  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

bi data warehouse automation  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

bi data warehouse automation  Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Problem? Data quality has always been an important issue for companies, and this is even more the case today. Business and legislative pressures coupled with the explosion in the amount of data created by organizations is leading to increased corporate attention on improving the quality and accuracy of business data. This paper reviews current industry problems concerning data quality, and takes a detailed look at Read More...

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