Home
 > Research and Reports > White Papers > Data Mining with MicroStrategy: Using the BI Platform...

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses

Source: MicroStrategy
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.


Featured publications:

Selecting ERP Software for the Mining Industry
Source: IFS Most ERP products have been designed from repetitive manufacturing, and thus lack the powerful asset management and project management functionality that mining companies require. But ERP is becoming a higher priority for these organizations. This white paper offers tips on selecting ERP software for the mining industry. Learn how you can you select ERP that can handle the entire mining project and asset lifecycle. Read More...
Comparing the Total Cost of Ownership of Business Intelligence Solutions
Source: Birst For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions. Read More...
Product Analysis Report: IBM Cognos and SPSS Solutions
Written By: Jorge Garcia Published On: December 17 2013 Many organizations today have come to realize that using data effectively should be a key component of their business strategy. Businesses can expand and improve the information analysis capabilities gained through BI by using predictive analytics to anticipate risks and outcomes, predict trends, and discover unseen patterns in data. IBM SPSS solutions provide a complete set of predictive analytics capabilities and a flexible set of integration points with Cognos Business Intelligence. Read the report to learn more about how IBM Cognos software capabilities can be extended with the use of IBM SPSS predictive analytics capabilities. Read More...


You may also be interested in these related documents:

Data Mining and Predictive Modeling for Condition-based Maintenance
Source: SAS 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 maintenance (CBM) database. Learn more about how these solutions enable better-informed decisions regarding specific maintenance actions. Read More...
Achieving Business Intelligence in Midsize Companies
Source: IBM 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 intelligence (BI) systems can provide these and other benefits, and how to implement BI in your organization. Read More...
Business Intelligence: A Guide for Midsize Companies
Source: SAP Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI. Read More...

 
comments powered by Disqus



Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others

©2014 Technology Evaluation Centers Inc. All rights reserved.