Business intelligence

Business intelligence

Business intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information and sometimes to the information itself. The purpose of business intelligence is to support better business decision making.

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Highlights
Monitoring consumer behavior during these uncertain economic times is crucial. Financially insecure and nervous individuals have a myriad of options available to them, but are fearful and unsure of what steps to take. This said, the downturn presents opportunities as well as challenges for Financial Services (FS) providers.
Madan Sheina, principal analyst, software application at OVUM, discusses 3 technologies - Web 2.0, smarter and high performance analytics, and virtualization - and how these technologies will impact the development and use of BI within the enterprise.
From conversations with hundreds of successful midsize customers, six proven strategies for the successful deployment and use of business intelligence have emerged. These strategies address the challenges facing both business and IT. They involve factors from architecture and report types to scalability and accessibility. And they affect everyone from the casual BI consumer to the professional report author. Download this white paper to learn about the BI strategies that can help your organization compete more effectively in today’s economy.
Data quality has always been an important issue for companies, and this is even more the case today. This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data.
Mahendra Durai, the IT CTO of BMC Software, explains the technology behind predictive intelligence and what it can do to help businesses get rapid returns on their technology investments and slash their capital and operating expenses.
Analytics is predicted to be a priority area of investment among companies in 2010 as companies realize that BI tools do not give managers sufficient insight into what the data is telling them. IBM senior executives, Phillip Beniac and Mark Register, discusses the rise of analytics as the tool to help organizations accurately predict what the information is telling them.
Mobile operators worldwide are investing billions to build state-of-the art, high-speed mobile broadband networks that set them apart from their competitors. This bold strategy is necessary to attract new customers, retain existing ones and increase revenue growth. Delivering reliable mobile data services over these high-performance superhighway pipes is critical for business success.
You can have all the business intelligence tools that you need but without analytics, you can't predict with confidence what the data is saying. IBM executives, Phillip Beniac and Mark Register, discuss the implications of business analytics in today's dynamic business environment.

       
       
     


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