data warehouse

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Published By: Safe Software     Published Date: Aug 21, 2009
Spatial data warehouses are becoming more common as government agencies, municipalities, utilities, telcos and other spatial data users start to share their data. This paper illustrates some of the issues that arise when undertaking data replication and data sharing.
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data warehousing, share data, data management, data distribution, data sharing, replication, safe, safe software
    
Safe Software
Published By: WorldTelemetry, Inc.     Published Date: Mar 26, 2007
Business Intelligence Software are applications that build on existing data warehouses and provide analytical processing tools that allow users to more effectively analyze such data. This, in turn, permits businesses to more rapidly develop existing and new analyses and reports for improved decision-making power and information dissemination capacity.
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analytical applications, business analytics, business metrics, business intelligence, enterprise software, bi software, world telemetry, worldtelemetry
    
WorldTelemetry, Inc.
Published By: Informatica     Published Date: Oct 26, 2007
The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
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business intelligence, database, enterprise data warehouse, data mart, data warehouse, data mining, active data warehousing, active data warehouse, informatica, data management
    
Informatica
Published By: Network Automation     Published Date: Dec 08, 2008
Often, the insurance underwriters stay late that last day of the month to enter new policies. This means that IT staff have a very small window to execute the applications critical to successful and error-free closing of the accounting books. IT staff had to run and baby sit the applications – one application requiring manual operation took over three hours to complete, another that uploads premium and claim information to the data warehouse took up to six hours.
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network automation, application execution, process automation, networking, it management, data management
    
Network Automation
Published By: SAS     Published Date: Aug 03, 2016
No matter the vintage or sophistication of your organizationís data warehouse (DW) and the environment around it, it probably needs to be modernized in one or more ways. Thatís because DWs and requirements for them continue to evolve. Many users need to get caught up by realigning the DW environment with new business requirements and technology challenges. Once caught up, they need a strategy for continuous modernization.
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best practices, technology, data, business technology
    
SAS
Published By: Pentaho     Published Date: Jan 16, 2015
If youíre considering a big data project, this whitepaper provides an overview of current common use cases for big data, from entry-level to more complex. Youíll get an in-depth look at some of the most common, including data warehouse optimization, streamlined data refinery, monetizing your data, and getting a 360 degree view of your customer. For each, youíll discover why companies are investing in them, what the projects look like, and key project considerations, including tools and platforms.
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big data, nosql, hadoop, data integration, data delivery, data management, data center
    
Pentaho
Published By: Pentaho     Published Date: Aug 22, 2016
This white paper covers the many options available for modernizing a data warehouse.
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big data, data integration, bi systems, hadoop
    
Pentaho
Published By: Matillion     Published Date: May 12, 2011
This whitepaper explains the importance of Business Intelligence to midsize companies, examines the challenges found in BI projects and explains how to be successful in improving visibility in your business.
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business intelligence, management information, dashboard, dashboards, analysis, analytics, data warehouse, reports, reporting, cloud, saas, software as a service, matillion
    
Matillion
Published By: IBM     Published Date: Mar 30, 2017
In todayís competitive on-line world, the speed of change in customer behaviour is increasing. In addition, in industries such as retail banking, car insurance and to some extent retail, the Internet has become the dominant way in which customers interact with an organisation. Yet in many data warehouses today, being able to analyse customer on-line behaviour is often not possible because the clickstream web log data needed to do this is missing. It is a key point because customer access to the web has made loyalty cheap.
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cyber attacks, data protection, it security, security solutions, system protector, web security, analytics
    
IBM
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