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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

basket analysis  this scenario as market basket analysis , data mining can provide insight into cross-selling patterns. Online book stores such as Amazon.com use this technique to present recommendations on books related to the one being reviewed or purchased. Taxonomy formations . Data mining can be applied in situations in which training data (data that is used to train a mining model) is missing any class labels. Class labels are used to conceptualize data. For instance, in an analysis that examines the relationships Read More
Recruitment and Staffing
Recruitment and Staffing functionality allows the user to select and hire the right people with the right skill sets, as well as track the information regarding their recruitment for later analysis...
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Documents related to » basket analysis


Processing Complex Events (During these, oh well, Complex Times) - Part I
The worn-out saying about how we learn new things every day applies to this blog topic too. Namely, my interest in Progress Software Corporation has long been

basket analysis  margin, followed by my basket moving up by half percent AND the stock Y’s price moves up by five percent OR the stock X’s price moves down by two percent, ALL WITHIN any two-minute time period THEN buy the stock X and sell stock Y!” Again, the singular trait of CEP is its ability to handle complex event sequences coming from multiple data streams within real-time constraints. CEP accomplishes this via automated actions and built-in temporal logic and sequencing. Back to Apama (not Panama or Read More
The Art, Science, and Software behind (Optimal) Retail Pricing: Part 1
The “Four Ps” of marketing strategy, also known as the

basket analysis  growth, market share, average basket size, profits, and lifetime customer value. A basic principle of economics is that a change in the price of an item will affect the demand for that item. Every item in a store has a unique  “price elasticity,”  or sensitivity in terms of the change in sales volume based on a change in that item’s price. Small decreases or increases in the prices of some items may lead to significant changes in the demand for those items, whereas larger decreases or increases Read More
Remote Implementations--Why They Can Make $ense
Everything in the computer industry seems to be going off-shore, why not software implementations? This article looks at reasons why remote implementation of

basket analysis  your eggs in one basket or, at least, in one location. Remote implementation may be one of those times. Typically, when an on-site consultant finds a problem, there will be a couple of hours or days playing phone tag with the developers. Then, it often takes more time finding and rounding up the right group of technical resources. Now, we're ready to discuss the problem. The advantage of a remote implementation is that is that the consultant has immediate, real-time, person-to-person access to the Read More
Applications Giants Bolster Their Pricing Management Capabilities
Previously price management was an overlooked area by vendors because they lacked the native capabilities to meet this need. However, through partnerships and

basket analysis  based on true customer market-basket drivers; Consider key demand drivers such as price elasticity, seasonality, cross-elasticity, and targeted price elasticity models at the item and store level; Predict drag along revenue and margin for each key item at the store level; Recommend the exact minimum relative price gap need to compete effectively for each store or key-item; Predict the whole-store revenue and margin impact of a key item price change; Provide what-if decision support to simulation Read More
Retalix: Merchandising Systems Competitor Analysis Report
Merchandising systems are the enterprise back and front-office software solutions upon which the majority of retailers rely to manage and support their daily

basket analysis  Merchandising Systems Competitor Analysis Report Merchandising systems are the enterprise back and front-office software solutions upon which the majority of retailers rely to manage and support their daily tasks. These systems typically record product performance, which allows buyers to purchase merchandise according to that information and to make accurate merchandise decisions. Moreover, retail systems have capabilities for tracking inventory, capturing sales data, and managing retail prices. Read More
Epicor Enterprise: ERP for SMB Competitor Analysis Report
The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In

basket analysis  Enterprise: ERP for SMB Competitor Analysis Report The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In addition to supporting accounting requirements, it is applicable for those researching an ERP system suitable for small and medium businesses (SMB). It includes categories such as General Ledger, A/P and A/R, Payroll, Job and Project Costing, Multinational Accounting, Manufacturing, Inventory, Read More
UNSPSC for Better Spend Analysis
The UN Standard Products and Services Code (UNSPSC), the global product and services classification standard, has been revolutionizing purchasing and supply

basket analysis  for Better Spend Analysis The UN Standard Products and Services Code (UNSPSC), the global product and services classification standard, has been revolutionizing purchasing and supply management across the world. Whether you’re deliberating on the need for a common product and classification standard for your company, or an advanced UNSPSC adopter, revisiting the basics can help you improve your purchasing and supply management processes. Read More
SAP ERP: Financial Packages Competitor Analysis Report
This financial software knowledge base anticipates as many factors as possible to establish your selection criteria for general ledger, accounts payable and

basket analysis  ERP: Financial Packages Competitor Analysis Report This financial software knowledge base anticipates as many factors as possible to establish your selection criteria for general ledger, accounts payable and receivable, reporting, and other bookkeeping requirements. This knowledge base in particular, offers a view on enterprise financial packages, which can complement an existing ERP system. Read More
Exelsys HCM: Human Resources (HR) Competitor Analysis Report
This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee

basket analysis  HCM: Human Resources (HR) Competitor Analysis Report This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee personnel tasks. Its extensive criteria include benefits and payroll management, employee self service, data warehousing, and health and safety requirements. Read More
Vista HRMS: Human Resources (HR) Competitor Analysis Report
This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee

basket analysis  HRMS: Human Resources (HR) Competitor Analysis Report This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee personnel tasks. Its extensive criteria include benefits and payroll management, employee self service, data warehousing, and health and safety requirements. Read More
Server Platform Situational Analysis: IBM AS/400
Customers value IBM's AS/400's reliability, stability, and security. However, despite its impressive performance and use of independent software vendors to

basket analysis  Platform Situational Analysis: IBM AS/400 Situational Analysis As outlined in The Blessing and Curse of Rejuvenating Legacy Systems , every independent software vendor (ISV) finds itself in a difficult position in terms of catering to existing and prospective customers. Existing customers seek updates in incremental and manageable sizes which will not disrupt current information technology (IT) processes. Potential customers want feature rich solutions that are rapidly implemented. For instance, Read More
Exact Business Analytics: Business Intelligence (BI) Competitor Analysis Report
This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and

basket analysis  Business Analytics: Business Intelligence (BI) Competitor Analysis Report This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data mining to analytics, Read More
Customer Relationship Analysis Firm Extends Reach
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America. Why does CGI expect

basket analysis  Relationship Analysis Firm Extends Reach Customer Relationship Analysis Firm Extends Reach D. Geller - September 22, 2000 Event Summary thinkAnalytics began life as a specialist using artificial intelligence to compress relational databases and for data mining. They became skilled at working with masses of data and embedding data analysis into traditional applications. Purchased by Gentia Software, an OLAP (On-Line Analytical Processing) specialist, in 1998; thinkAnalytics was recently launched as Read More
Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

basket analysis  of In-memory Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Read More

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