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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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... Download <strong>Data Mining with MicroStrategy:
Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses</strong>.
Comments: ...
Published:
2010-03-11
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Abstract:
Today’s military logistics agencies must sustain diverse fleets of costly, complex, and indispensible weapon systems and
platforms. Modern predictive maintenance solutions can integrate with existing IT infrastructures to collect and transmit
data from various platforms to a centralized condition-based (...)
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... specific maintenance actions. Download <strong>Data Mining
and Predictive Modeling for Condition-based Maintenance</strong>. Comments: ...
Published:
2011-05-24
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Abstract:
Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing
numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management
has not kept pace with the growth of data int (...)
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... architecture can help. Download <strong>The Importance of a Single Platform for
Data Integration and Quality Management</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
The advent of social networking sites can help shed light into the dynamics of customer demand. Retailers can choose to tap
into consumer sentiment as expressed on social media networks and get personal with the right customers through the use of
sophisticated technology to turn “unstructured” sentim (...)
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... sentiment into usable data that can then be meshed with other internal information to
create business insights. Find out how. Download <strong>From Sentiment ...
Published:
2010-12-23
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Abstract:
With business units demanding more access to corporate data, IT is pressured to deliver. 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-b (...)
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... Download <strong>Uncovering Insight Hidden in Text: How Unstructured Data
Analysis Is Helping IT Deliver Knowledge</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this
framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the
full range of BI functionality—leading to excessi (...)
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... functionality. Download <strong>The Five Styles of Business Intelligence: Industrial-strength
Business Intelligence</strong>. Comments: ...
Published:
2010-03-11
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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 (...)
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... five requirements of a scalable data warehouse strategy, for more effective data
analysis and better understanding of business performance. Download <strong>Bye ...
Published:
2010-03-11
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Abstract:
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick
deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover
the core criteria you should use to evaluate DW appliances, (...)
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... extensibility. Download <strong>Appliance Power: Crunching Data
Warehousing Workloads Faster and Cheaper than Ever</strong>. Comments: ...
Published:
2010-04-09
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Abstract:
As the economic downturn deepens, there’s no shortage of advice on how your company is to survive—where to cut costs
and how to retrench the business. But despite the natural inclination to spend as little as possible, a recession might actually
be a great time to use market conditions to your ad (...)
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... up your processes, and more. Download <strong>No Time to Retreat: Seizing Opportunity
in an Economic Downturn</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
Software vendors and users often view advanced data visualization and dashboard capabilities as the “sizzle” that helps sell
the product. This over-simplification misses the key point that ADV delivers the “steak” (i.e., the relevant information)
users need to make accurate assessments that optim (...)
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... Source: Visual Mining. Document Type: White Paper Description ... users
often view advanced data visualization and ... Download <strong>The
Business Case for Advanced ...
Published:
2010-03-11
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Abstract:
Most companies have an incredible amount of data living in transaction-based, distributed systems and databases. But these
databases are often not designed to communicate with one another, allow users to explore data in unusual ways, or quickly
provide high-level summaries of data. Learn how business int (...)
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... of data. Learn how business intelligence (BI) systems can provide these and other benefits,
and how to implement BI in your organization. Download <strong ...
Published:
2010-03-11
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Abstract:
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of
time trying to make sure you get the right information to the right people at the right time—but is your data capture
process as efficient as it could be? Learn about the issues (...)
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... address specific processing problems. Download <strong>A Solution to Data
Capture and Data Processing Challenges</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
Business intelligence (BI) 2.0 is used more and more to refer to the next generation of BI solutions, which allow better
access to information, and enable communication and collaboration amongst all users. But how is BI changing exactly? For one
thing, BI 2.0 allows Web-based interactive reporting. Learn (...)
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... Learn about other differences—and how BI 2.0 can make a difference in your organization’s data
warehousing and other activities. Download <strong>The Next ...
Published:
2010-03-11
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Abstract:
Historically, data warehousing and business intelligence (BI) initiatives have been IT-driven—concerned mainly with the technical
aspects of delivering information to BI users. Now that many of the challenges and tradeoffs are understood, companies can
focus on using BI to deliver business value. Learn (...)
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... Source: SAP. Document Type: White Paper Description: Historically, data warehousing
and ... Download <strong>The Business Value of Business Intelligence</strong>.
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Published:
2010-03-11
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Abstract:
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring
data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management
is not applied. By embracing the five ph (...)
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... Download <strong>Data Migration Management: A Methodology to
Sustaining Data Integrity for Going Live and Beyond</strong>. Comments: ...
Published:
2011-03-21
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Abstract:
Business intelligence (BI), reporting, and analysis make your business applications more intelligent, more robust, more usable,
and ultimately more valuable to you and your end users. Read this white paper to learn about the far-reaching value that BI
reporting and analysis can quickly bring to your busi (...)
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... business applications. Download <strong>12 Essential BI Features that Deliver
Immediate Value to your Applications</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding
of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically
will be successful. But what goes into a data (...)
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... the strategy in the context of data quality. Download <strong>Data
Quality Strategy: A Step-by-Step Approach</strong>. Comments: ...
Published:
2011-03-16
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Abstract:
When it comes to data and storage management, midsize organizations often face similar issues to those of their larger counterparts.
Rapid data growth, business continuity, and data archiving are just a few of the problems they must deal with. By coupling
IP-based storage area network (SAN) technology wi (...)
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... effectiveness. Download <strong>Gaining Maximum Value from Information and Data:
Managing Intellectual Property Assets</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
Founded more than 60 years ago, the Rodgers & Hammerstein Organization (R&H) represents a wide variety of entertainment copyrights.
R&H used Microsoft Dynamics AX to gain a full picture of its business, but wanted to give all employees fast, easy access
to the data they needed to serve customers. By upgr (...)
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... business, but wanted to give all employees fast, easy access to the data they needed
... Download <strong>Case Study: Rodgers and Hammerstein Organization</strong>.
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Published:
2010-03-11
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Abstract:
Data, Data Everywhere: a Special Report on Managing Information. Explore data management with sap netweaver MDM. Free white
paper. The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult
enough. Analyzing it, to spot patterns and extract useful (...)
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Data, Data Everywhere: a Special Report on Managing Information. Explore data management with sap netweaver MDM. Free white
paper. The quantity of ...
Published:
2010-05-19