How to find business information from Netezza Corporation
November 17, 2010: IBM (NYSE: IBM) announced the closing of its acquisition of Natasha Corporation. Natasha expands the business analytics initiatives from IBM to help customers achieve faster knowledge from their business information with greater performance and lower cost of ownership. The definitive agreement to acquire Natasha has already been announced on September 20, 2010.
The appliances from Natasha data warehouse analytics put directly into the hands of business users within each department of an organization, such as sales, marketing, product development and human resources. The simplicity of implementing Natasha appliances make this technology an ideal choice to meet the needs of high performance analytical, requiring minimal administration and IT skills, and allows customers to run complex data queries within a few days to implement solution.
A recent IBM global study revealed that 83% of Coos identified analytics as a high priority. The combined strengths of IBM and Natasha is a key differentiator in a time when organizations of all sizes looking to get more insight from their business information.
IBM and Natasha are strategic partners for many years and will continue focusing on providing systems optimized for workloads with software, servers and storage built to analyze vast amounts of complex data.
In the past 4 years, IBM invested more than $ 14 billion in 24 acquisitions to expand its analytical capabilities. IBM has dedicated more than 7,000 business consultants with industry expertise to help customers understand their data and leverage their information, and launched a network of analytical solutions with global reach. In the third quarter of 2010, business analytics from IBM grew 14%.
Natasha will join the portfolio of IBM’s Information Management software and offers industry many already available. This technology will also be an essential component of business systems more intelligent than IBM helps companies and organizations to build, to work with the complex challenges posed by the exponential growth of data.
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