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Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » bi expensive data warehouse


About Big Data
There may not be a consensus with respect to just how big

bi expensive data warehouse  required by a traditional BI deployment, thus reducing data latency and speeding up the decision-making process. Some of the advantages of deploying a big data solution include: reducing the decision-making process by reading, analyzing, and giving results faster than traditional solutions collecting information, whether structured, semi-structured, or nonstructured, from disparate sources, and being able to manage it performing data discovery tasks, allowing you to build test scenarios, which is Read More...
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

bi expensive data warehouse  deep ingrained belief that BI cannot be conducted without a data warehouse (DW). Indeed, when companies are dealing with a deluge of data, it helps to have a DW, since it offers large corporations the ability to leverage information assets to support enterprise reporting and analysis. DWs also provide a technical solution to the problem of multiple systems, separate data stores, and rapidly expanding historical data, since information is extracted from various transaction-based systems, such as Read More...
How to Evaluate Web-based BI Solutions
Web-based business intelligence (BI) is no longer an anomaly: organizations are ready for BI solutions that go beyond Web portals. However, when selecting Web

bi expensive data warehouse  more important within the BI industry, as organizations are looking for less invasive, and less expensive ways to benefit from reporting and analytics. Although most organizations implement traditional BI applications, use of the Internet to collaborate and to deliver reporting and OLAP is already a main element of software deployments. As the demand for Web 2.0, software as a service (SaaS), service-oriented architecture (SOA), and hosted applications has increased, organizations are increasingly Read More...
Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

bi expensive data warehouse  should implement a right-sized BI solution without needing expensive consulting services or specialized new hires. Here are some tips for doing so. Software Appliances Look for a BI solution that could accurately be described as a software appliance. I''ve used that term before, as a synonym for prepackaged; what exactly does it mean? Consider your corporate firewall. There are a couple of ways you can go when choosing a firewall—a dedicated firewall software package, which often runs on an OS such as Read More...
Massive Data Requires Massive Measures
One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money

bi expensive data warehouse  help SAP complete the BI information cycle with competitive advantages. Mobility capabilities will be a very important part of the next generation of SAP’s analytical applications. IBM and Netezza On September 20 2010, IBM announced that it was about to acquire Netezza , a company based in Marlborough, Massachusetts (US). In a cash transaction worth about $1.7 billion (USD), IBM made an important move to establish itself as a big player in the big data field. Netezza holds a privileged position in the Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

bi expensive data warehouse  impact the performance and availability of the applications to perform the backup. Your mission-critical applications require the highest degree of protection and availability. For these systems, you should look for a solution that limits the amount of data you might lose, as well as the amount of time it takes to recover when something goes wrong. Risks There are many risks that can threaten your remote data (see Figure 3). First, there is the simple and all-too-often case of someone losing a file or 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

bi expensive data warehouse  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, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how. Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

bi expensive data warehouse  data and the system''s ability to deliver the data on the business'' schedule. Data politics meaning, issues about who owns certain data may arise, causing unnecessary delays in obtaining the appropriate permission to access and cleanse certain data. And, of course, a good strategy should allow flexible interfaces to various data sources that can evolve over time. Move Data to a Continuously Changing Target Implementing an application is an iterative process, with business and IT staff making frequent Read More...
Mobile BI: Features, Challenges, and Opportunities
What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges

bi expensive data warehouse  opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company. Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

bi expensive data warehouse  a common language, avoid responsibility gaps and duplication of effort, and achieve an efficient process with a predictable outcome. This paper presents a framework for project management roles and relationships that is understandable, comprehensive, and adaptable to any size project. Introduction In a project to build or upgrade data center physical infrastructure, a structured and standardized process provides the essential foundation for efficient project execution and a successfully deployed system. Read More...
Understanding BI: The Top 10 Business Questions That Drive Your BI Technology Requirements
Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI

bi expensive data warehouse  Questions That Drive Your BI Technology Requirements Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI solution needs. Read More...
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

bi expensive data warehouse  ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

bi expensive data warehouse  containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements. Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

bi expensive data warehouse  data protection,data backup,2012 data statistics,data loss,business data backup Read More...
MSI Data


bi expensive data warehouse  field service management,fsm Read More...

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