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Documents related to » bi data warehousing analysis


Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

bi data warehousing analysis  systems as well the BI and the data warehouse space in general. Roger Gaskell is responsible for all the product development that goes on at Kognitio. Prior to Kognitio, Mr. Gaskell worked as a test development manager at AB Electronics, primarily for the development and testing of the first mass production of IBM personal computers. 1.    Hello, Mr. Gaskell. Could you give us a brief introduction to Kognitio and the products the company offers? Certainly. Kognitio is a technology software vendor that Read More...
Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge
With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only

bi data warehousing analysis  Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance BI. Read More...
A One-stop Event for Business Intelligence and Data Warehousing Information
The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and

bi data warehousing analysis  information and resources for BI and data warehousing professionals. The focus is on actionable advice on how to plan, build, and deploy BI and data warehousing solutions. Ten Mistakes to Avoid is distributed quarterly, and advises readers on different topics related to building, deploying, or maintaining a data warehouse, or managing a data warehouse team. What Works: Best Practices in Business Intelligence and Data Warehousing , also distributed quarterly, gives readers a comprehensive collection of Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

bi data warehousing analysis  the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for market awareness. The complexity of the technology and the interactions between the various tools, and the high price points for the products require companies to perform careful technology evaluation before embarking on a warehousing project. However, the potential for enormous returns on investment and competitive advantage make data warehousing difficult to 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 warehousing analysis  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...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

bi data warehousing analysis  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it''s also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you''re going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commission Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

bi data warehousing analysis  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
BI on the Go
Infographic: TEC recently surveyed more than 250 users of mobile business intelligence (BI) solutions to discover some of their common use practices with mobile

bi data warehousing analysis  out our 2014 Mobile BI Buyer''s Guide . Read More...
Webigeo BI-centric
Webigeo BI-centric works as a business intelligence (BI) add-in through connection to SAP BusinessObjects Xi, IBM Cognos 8, and Microsoft. This BI-centric

bi data warehousing analysis  This BI-centric module gives BI users the opportunity to analyze, query, and build cartographic reports, making location a driver in their decision-making. Read More...
Transactional Data: Driving Real-Time Business
A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business

bi data warehousing analysis  Data: Driving Real-Time Business A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More...
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

bi data warehousing analysis  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. Read More...
Data Governance: Controlling Your Organization’s Mission-critical Information
Controlling your company’s key information through data governance is more than just good practice—it can make the difference between success and failure at

bi data warehousing analysis  analyst for business intelligence [BI] here at Technology Evaluation Centers. Today I am speaking with Daniel Teachey, the director of corporate communications at DataFlux . DataFlux''s main focus is data quality. However, based on their implementation experience, they have developed a data governance maturity model. Today we will be discussing the importance of data governance, the benefits and challenges associated with its implementation, and how the model was developed. Lyndsay Wise: Hi Daniel, thank Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

bi data warehousing analysis  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
How the Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security
In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis

bi data warehousing analysis  comprehensive detection of security vulnerabilities. But a truly effective strategy may require a mix of both. 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 data warehousing analysis  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...

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