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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 (...)
Excerpt related to
statistical data analysis:
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:
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
statistical data analysis:
... 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:
Wist, an office supply company offering over 40,000 products, was running an outdated enterprise resource planning (ERP)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
statistical data analysis:
... 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:
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
statistical data analysis:
... 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:
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
statistical data analysis:
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:
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
statistical data analysis:
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:
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
statistical data analysis:
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
statistical data analysis:
... 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:
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
statistical data analysis:
... 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:
When it comes to data, it’s all about location. Although more than 80 percent of enterprise data has a geographic dimension—such
as stores, customers, and competitors—it’s rarely used in traditional business intelligence (BI) analysis. In order to react
faster to market changes and to improve com (...)
Excerpt related to
statistical data analysis:
... data has a geographic dimension—such as stores, customers, and competitors—it’s rarely
used in traditional business intelligence (BI) analysis. ...
Published:
2010-03-11
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Abstract:
As companies grow, their organizational structure and decision-making processes may outgrow managements’ ability to run that
business by the “seat of their pants.” To make complex decisions, you need systems that collect information offering true
business intelligence (BI). Discover the ways two so (...)
Excerpt related to
statistical data analysis:
A Comparison of Business Intelligence Capabilities: Sage MAS 90 ERP and QuickBooks Enterprise Solutions. Source: Sage. Document
Type ...
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
statistical data analysis:
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:
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
statistical data analysis:
... 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:
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
statistical data analysis:
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
statistical data analysis:
... 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
statistical data analysis:
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
statistical data analysis:
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
statistical data analysis:
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:
Today’s manufacturing environment requires a relentless drive for cost reduction and efficiency gains. Initiatives like lean
and six sigma can bring sustainable improvements. To make these initiatives work, you need to base operational decisions on
data rather than intuition and experience. But is your (...)
Excerpt related to
statistical data analysis:
... To make these initiatives work, you need to base operational decisions on data rather
than intuition and experience. But is your ...
Published:
2010-03-11
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Abstract:
This BI article looks at why and how in-memory technology transforms analytic applications. The primary bottleneck to high-performance
multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk storage to
random access memory (RAM). With crashing RAM (...)
Excerpt related to
statistical data analysis:
... This can include multi-dimensional analysis or online analytical processing (OLAP),
statistical analysis, data mining, and text mining. ...
Published:
2010-09-01