Prism offers a full suite of BI applications, as well as standalone data and text mining with innovative analytics tools that can be used by any type of user. A great solution to manage and support your business data.
BOARD is an integrated business intelligence and corporate performance management solution. The BOARD Management Intelligence Toolkit is used by companies such as Pepsico, Nike, Giorgio Armani, L’Oreal and Charlotte Russe.
This powerful, intuitive BI system empowers organizations to quickly capture and synthesize Big Data. QlikView collects data from multiple sources and visualizes the information in a way that makes insights immediately actionable.
GoodData is a powerful, cloud-based business intelligence suite. Their analytics package delivers complete visibility over sales, marketing, and customer service. They also offer robust analytics packages right out of the box.
Birst delivers actionable data from a variety of sources, so users can answer the most pressing business questions in real time. The system deploys fast and integrates with popular technologies, such as Salesforce and SAP.
SharePoint integrates with other Microsoft enterprise products (including Dynamics and Microsoft Office) to assist users analyze data and form predictive models. Accessible via desktop, Internet browser or mobile device.
TARGIT is a fully-integrated business intelligence suite that can be deployed on-premise or in the Cloud. Functionality includes dashboards, ETL tools, data warehousing, predictive analysis, OLAP and ad hoc reporting.
BusinessObjects from SAP is one of the leading business intelligence applications for both SMBs and large corporations. Handles ETL, OLAP, predictive analysis and data cleansing. Offers drag-and-drop customizable dashboards.
Available through Blacklight Solutions, Yellowfin is a powerful, comprehensive BI software. It offers intuitive features and is deployed over the web, so users have access to data and reporting tools around the clock.
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A major challenge for businesses is how to turn large, convoluted data sets into information that users can leverage to improve operations. Data mining software allows users to apply semi-automated and predictive analyses to parse raw data and find new ways to look at information. For example, e-commerce companies use data mining applications to analyze visitor demographics and discover how to deliver a better customer experience.
Data mining with the business intelligence module from SAP.
Data mining applications help users discover correlations and connections within large data sets. These might have gone unnoticed without these algorithms.
Companies implement data mining software systems to:
Accelerate discovery with semi-automated analyses;
Segment customers into groups based on homogeneous activities and demographics; and
Generate models to predict future trends.
A classic example of how data mining software can be used is with customer purchasing patterns at grocery stores. If shoppers tend to buy items such as toilet paper, diapers and alcohol before the weekend, retailers can place these items closer together to maximize revenue. Store owners can further capitalize on this opportunity by running specials on these items to encourage additional purchases.
When evaluating data mining software, you should consider the following:
Best-of-breed or integrated suite? Buyers should consider whether they want a stand-alone, best-of-breed data mining application, or would prefer to go with the data mining module from their existing Enterprise Resource Planning (ERP) provider. If buyers choose to evaluate stand-alone systems, they should discuss integration capabilities with these pure-play vendors.
Do you need to invest in hardware? Businesses without IT resources (or a budget to invest in new, faster servers) may choose to instead host their data in the Cloud. However, in-memory processing advances have improved the speed and capability of these applications, lessening the IT investment previously necessary to effectively utilize data mining applications.
Do you have the talent to utilize these applications? Like with any software application, data mining solutions require the right questions to discover useful answers within data. For example, if you are evaluating data mining tools from enterprise vendor SAS, do you have analysts versed in the sample, explore, modify, model, assess (SEMMA) framework used in SAS data mining applications? Businesses must have sophisticated users to make the most out of their investment in these systems.