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Documents related to » expensive data warehouse bi


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

expensive data warehouse bi  warehouse can rapidly become expensive as the data volume increases. Scaling a data warehouse can be a burden when you’re dealing with such volumes. Meanwhile, some big data providers can produce solutions not only that are cheaper from the get go, but which can be escalated, adapted, and modified as required. Open source solutions—such as NoSQL—have also played an important role in the big data movement, forcing market prices to stay down. The Players As with any other segment in the software 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

expensive data warehouse bi  major software companies made expensive adjustments during the last couple of years to redirect or reinforce strategies regarding its position in the data warehousing space and analysis of large data volumes. Here’s a quick look at some of these recent events: EMC and Greenplum In the data warehouse and business intelligence (BI) area, the acquisition of Greenplum by the information management company EMC   rang the bells of war in the field of data warehousing and massive data analysis. With this 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

expensive data warehouse bi  than having to buy expensive equipment. Amazon, Google and Microsoft are the most prominent firms to make their massive computing infrastructure available to clients. As more corporate functions, such as human resources or sales, are managed over a network, companies can see patterns across the whole of the business and share their information more easily. A free programming language called R lets companies examine and present big data sets, and free software called Hadoop now allows ordinary PCs to 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

expensive data warehouse bi  It means no lengthy, expensive customizations required. In the world of BI solutions, prepackaged solutions designed to fit a midsize company are the best way to implement BI. Frankly, even huge enterprises would use prepackaged BI solutions if they had the option—they''d save a fortune and a lot of time. This is an advantage that midsize companies can capitalize on: The ability to use a prepackaged BI solution brings you big-company power without the big-company price or time commitment. We''ve covered 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

expensive data warehouse bi  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 examining Web-based applications. There are two approaches to Web-based BI 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

expensive data warehouse bi  out applications that are expensive to maintain, or reduce the TCO of their IT environment by migrating redundant or non-critical applications to a corporate standard. Most application migrations occur as part of a new application implementation, such as when an ERP or CRM application is implemented and existing legacy applications are migrated to the new system. Two other types of application migrations are application upgrade, in which the target and source application are different versions of the same Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

expensive data warehouse bi  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
Five BI Success Factors for the Midsize Organization: Tactical Guidelines for Effective BI Deployment
Midsize businesses feel the most pressure to boost revenue and increase profits@and have smaller margins for error. Achieving your goals requires making smart

expensive data warehouse bi   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

expensive data warehouse bi  mobile bi,bi strategy,mobile business intelligence,mobile business analytics,business intelligence mobile,mobile bi applications,bi strategy document,mobile business intelligence applications,business objects mobile bi,bi strategy example,bi strategy ppt,microsoft bi strategy,mobile bi solutions,bi strategy template,bi strategy roadmap Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

expensive data warehouse bi  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

expensive data warehouse bi  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. 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

expensive data warehouse bi  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, 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...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

expensive data warehouse bi  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...

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