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Abstract:
The National Geographic Society’s (NGS) Genographic Project is a five-year worldwide scientific study to trace the migration
of humanity across the planet. After gathering over 210,000 genetic samples, NGS faced the challenge of processing the massive
amounts of data collected. Learn how NGS chose a co (...)
Excerpt related to
data analysis statistical:
... planet. After gathering over 210,000 genetic samples, NGS faced the challenge of processing the massive
amounts of data collected. ...
Published:
2010-04-09
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Abstract:
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But
the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information
distribution, robust security, and other necessitie (...)
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data analysis statistical:
Document Type: White Paper Description: Data mining and predictive analysis applications
can help you make knowledge-driven decisions and improve efficiency. ...
Published:
2010-03-11
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Abstract:
Wist, an office supply company offering over 40,000 products, was running an outdated enterprise resource planning (ERP)
system. The primary concern was the system’s lack of flexibility, which incurred unnecessary labor costs. As well, errors
were common and prevented Wist from getting the information (...)
Excerpt related to
data analysis statistical:
... unnecessary labor costs. As well, errors were common and prevented Wist from getting the information
needed for data analysis. With a new ...
Published:
2010-03-11
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Abstract:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand
the data mining process. (...)
Excerpt related to
data analysis statistical:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuab...
Published:
2009-06-19
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Abstract:
Traditional voice of customer (VoC) analytics for understanding and predicting customer behavior relies on two types of data
sources—structured (customer feedback surveys, focus groups, etc.) and unstructured (blogs, forums, etc.). Data is then organized
for use by diverse teams across an organization. (...)
Excerpt related to
data analysis statistical:
... Description: Traditional voice of customer (VoC) analytics for understanding and predicting customer
behavior relies on two types of data sources—structured ...
Published:
2011-06-09
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Abstract:
Business intelligence (BI) tools are now affordable for midsize companies, and accessible to non-technical business users.
Managers can use BI to analyze complex information and support their decision-making processes—combining data from many sources
into an integrated, up-to-date view. Find out what m (...)
Excerpt related to
data analysis statistical:
... Managers can use BI to analyze complex information and support their decision-making processes—combining
data from many sources into an integrated, up-to ...
Published:
2010-03-11
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Abstract:
To simplify and greatly improve their BI shortlist selection processes, companies should focus on the business value and
ongoing expenses that different solutions create—measured across a few key variables. This paper outlines key criteria that
companies should consider when creating their business int (...)
Excerpt related to
data analysis statistical:
The Dashboard Decision : Criteria for Selecting a Business Intelligence Solution. Source: QlikTech International. Document
Type: White ...
Published:
2010-03-11
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Abstract:
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics
to predictive analytics, and predictive analytics is emerging as a distinct new software sector. (...)
Excerpt related to
data analysis statistical:
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to
predictive analytics, ...
Published:
2005-12-24
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Abstract:
How can a budget administrator, burdened with the task of gathering data from hundreds of spreadsheets from all over the
organization, manage this monumental undertaking? Additionally, how to avoid using a costly packaged budget application that
doesn’t take the organization’s business rules into con (...)
Excerpt related to
data analysis statistical:
... Source: A3 Solutions. Document Type: White Paper Description: How can a budget administrator, burdened
with the task of gathering data from hundreds of ...
Published:
2010-03-11
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Abstract:
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools
and suites. Portlet standardization, enterprise information integration, and corporate performance management are among the
proposed solutions, but do they really deliver real time i (...)
Excerpt related to
data analysis statistical:
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools
and suites. Portlet sta...
Published:
2005-06-29
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Abstract:
Your company’s focus has been on streamlining operations, acquiring customers, increasing revenues and profitability, and
outpacing the competition, instead of analyzing what’s going on and planning for the future. Further, you need to know where
to concentrate your efforts. This white paper offers g (...)
Excerpt related to
data analysis statistical:
Business Intelligence: A Guide for Midsize Companies — Improving Your Company’s Efficiency and Effectiveness, No Matter Its
Size. ...
Published:
2011-03-08
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Abstract:
For many years, the various departments at Walker Foods worked independently of one another, which seriously impeded the
flow of data throughout the enterprise. It was clear that an integrated system was in order, and after a few initial upgrades,
the company decided on AppFinity’s WebCustomer overall (...)
Excerpt related to
data analysis statistical:
... For many years, the various departments at Walker Foods worked independently of one another, which seriously
impeded the flow of data throughout the enterprise ...
Published:
2010-03-11
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Abstract:
To stay competitive, organizations must constantly review the status of their projects, and make rapid decisions about which
should continue, which should change, and which are worth launching. To make these choices they need easy access to up-to-date
business-relevant information. Learn about business i (...)
Excerpt related to
data analysis statistical:
Making Business-relevant Information Instantly Available to More Users. Source: SAP. Document Type: White Paper Description:
To stay ...
Published:
2010-03-11
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Abstract:
Insight is the power to see into a given situation. As such, it requires a combination of experience and analytics to enable
better decision making. Insight helps small and medium-size businesses (SMBs) uncover opportunities and expose shortcomings,
thus establishing the basis for corrective action. Read (...)
Excerpt related to
data analysis statistical:
Insight: The Critical Path to Competitive Differentiation for Growing Companies. Source: SAP. Document Type: White Paper Description
...
Published:
2011-03-11
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Abstract:
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of
inefficiencies in business processes. This is why the development of effective maintenance policies is generally the foremost
consideration for modern asset managers. (...)
Excerpt related to
data analysis statistical:
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of
inefficiencies in busine...
Published:
2006-08-24
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Abstract:
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from
a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated
challenges and minimize risk for errors. This pap (...)
Excerpt related to
data analysis statistical:
A Roadmap to Data Migration Success. Source: SAP. ... approach them. Download <strong>A
Roadmap to Data Migration Success</strong>. Comments: ...
Published:
2011-03-16
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Abstract:
Most small to midsize companies have found business intelligence (BI) solutions to be beyond their financial reach. But now,
you don’t have to rely only on spreadsheets for data visibility—with software-as-a-service (SaaS), BI can quickly and easily
be set up enterprise-wide. Find out five requiremen (...)
Excerpt related to
data analysis statistical:
... Find out five requirements of a scalable data warehouse strategy, for more effective
data analysis and better understanding of business performance. ...
Published:
2010-03-11
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Abstract:
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand
this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance. (...)
Excerpt related to
data analysis statistical:
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand
this reasoning, it...
Published:
2006-08-23
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Abstract:
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive
advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed. (...)
Excerpt related to
data analysis statistical:
... Not all warehouse implementations require sophisticated analysis techniques such as
data mining (statistical analysis to discover trends in the data),
data ...
Published:
2000-08-02
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Abstract:
To accurately assess the impact that requirements have on businesses, IAG surveyed over 100 companies. What they found was
that less than one-third were properly equipped to define their software requirements, and that suboptimal requirements consumed
around 41.5 percent of the IT development budget. Fin (...)
Excerpt related to
data analysis statistical:
Assessing the Impact of Poor Requirements on Companies. Source: IAG Consulting. Document Type: White Paper Description: To
accurately ...
Published:
2010-03-11