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Documents related to » data mining bi


Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

data mining bi  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses 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 necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

data mining bi  Data Cleansing Server | Data Mining | Data Cleansing | Cleanse Data | Data Improvements | Structured Data | Data Values | Data Cleansing Modules | Automated Data Cleansing | Supply Chain Data | BPM Data | BPM Data Cleansing | BPM Consumer Data | BPM Precise Data Cleansing | BPM Data Quality | BPM Data Cleansing Tools | BPM Data Cleansing Solutions | BPM Accurate Data | BPM Source Data | BPM Data Warehousing | BPM Data Scrubbing | BPM Outsource Data Cleansing | BPM Data Bureau Services | BPM Data Read More...
Ask the Experts: Approaches to Data Mining ERP
From one of our readers comes this question:I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new

data mining bi  the Experts: Approaches to Data Mining ERP From one of our readers comes this question : I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine which ERP vendors use data mining techniques and whether these techniques are Read More...
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

data mining bi  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data mining bi  that are not obvious. Data mining is the process of discovering information from enterprise data that is otherwise hidden. For instance, an online bookstore suggests additional books based on what a user adds to his or her cart by examining evidence from other comparable buyers. This is done through the use of association rules applied to historical sales data. Although the primary purpose of mining data is to gain business insight, it can be applied to discover anomalies in data. Consider a Web-based Read More...
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

data mining bi  for Specification of Data Center Power Density Guidelines for Specification of Data Center Power Density If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data mining bi  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data mining bi  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More...
Mobile BI: Features, Challenges, and Opportunities
What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges

data mining bi  mobile bi,bi strategy,mobile business intelligence,mobile business analytics,business intelligence mobile,mobile bi applications,bi strategy document,mobile business intelligence applications,business objects mobile bi,bi strategy example,bi strategy ppt,microsoft bi strategy,mobile bi solutions,bi strategy template,bi strategy roadmap Read More...
Innovation Driver and BI Vendor QlikTech’s QlikView Is Now a TEC Certified BI Solution
We are pleased to announce that QlikTech’s QlikView, version 11, is now part of TEC’s certified business intelligence (BI) applications family of products, and

data mining bi  the Business Intelligence and Data Management Evaluation Center . In just a matter of a few weeks I’ll be providing the full certification report, which will be available on the TEC Certification Reports page , and I will go over the main features of QlikView, including its strengths, weaknesses, and analysis of each module within TEC’s BI software research model. In the meantime, I’ll provide you with a brief overview of important functionality included in most of the BI suites: reporting and Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

data mining bi  a Single Product for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

data mining bi  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified Read More...
The Use of Ceiling-Ducted Air Containment in Data Centers
Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center

data mining bi  Ceiling-Ducted Air Containment in Data Centers Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established and Read More...
2011 Business Intelligence Buyer''s Guide: BI for Everyone
This buyer guide is for business owners, managers, decision makers, and anyone interested in learning about the deployment of business intelligence (BI) systems

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