X
Start evaluating software now

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

CRM for Financial and Insurance Markets
CRM for Financial and Insurance Markets
Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or&n...
 

 applications of data mining in banking


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

applications of data mining in banking  financial transaction data, CCM applications can verify and validate the data against the organization's control parameters and business rules. CCM benefits busy organizations by rapidly analyzing large volumes of data, identifying suspicious activities, and providing alerts should any breaches in security occur. This functionality enables users to detect the specific transaction responsible—before the problem worsens. It then automatically stores the data being analyzed—resulting in information that

Read More


Mining Industry ERP and CMMS RFI/RFP Template

Financials, Human Resources, Manufacturing Management, Process Manufacturing, Inventory Management, Purchasing Management, Quality Management, Sales Management, Project Management, Product Technolo... Get this template

Read More
Start evaluating software now

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

CRM for Financial and Insurance Markets
CRM for Financial and Insurance Markets
Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or&n...

Documents related to » applications of data mining in banking

IBM SPSS-Making the World Smarter with Predictive Analytics


I recently had the opportunity to speak with IBM and take a closer look at the vendor’s SPSS product portfolio, some if its main functions and features, and how it fits within IBM’s overall analytics strategy. Here’s a sneak peek into SPSS and IBM’s analytics strategy. SPSS Part of IBM’s Smarter Planet Initiative In recent years, particularly with the acquisitions of important analytics

applications of data mining in banking  a set of software applications that enables users to perform both simple and advanced statistical and data mining operations. As a main player in IBM’s analytics strategy, SPSS provides a multitude of business analytics services. It offers organizations data mining and predictive analytics capabilities as part of IBM’s Smarter Planet initiative—thereby enabling decision management and IT infrastructure analytics. A Look into SPSS’s Main Components The SPSS portfolio comprises four families of prod Read More

Credit Card Fraud Detection: Advanced Analytics in Action or Pure Luck?


Have you ever wondered how credit card companies are capable of detecting purchases that a particular card holder did not make? Do these companies make use of advanced analytics to detect fraudulent purchasing behaviors or do they simply detect these actions by pure luck? A recent incident with my credit card prompted me to investigate further. Here’s what happened. I recently

applications of data mining in banking  of the more interesting applications of a set of algorithms and technologies for performing data mining processes. So, data mining applications use a set of techniques to detect specific “patterns” or relations within the data, and the financial field seems to be an excellent field for the application of such technologies. Establishing data patterns requires the analysis of large amounts of information—thus, most data mining applications use the vast array of data sets provided by data warehouses. O Read More

SAS: Striving to Sustain Leadership


SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its technology leadership, expanding in some vertical markets, and becoming more attentive to the low-end market.

applications of data mining in banking  a class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. For example, it can help retail companies find customers with common interests. True data mining software does not just change the data presentation, but actually discovers previously unknown relationships among the data. This knowledge is then applied to achieving specific business goals. These tools are used to replace or enhance human intelligence by scanning through massive st Read More

Enterprises Reap Rewards of Modernizing Their ERP Systems


With increased mergers and acquisitions at the global level, organizations have started recognizing the benefits of upgrading to a modern enterprise resource planning (ERP) platform and a service-oriented architecture (SOA). Learn how different approaches to ERP system and architecture upgrades can help your company drive down costs, raise employee productivity, and produce meaningful business process improvement.

applications of data mining in banking  Addressed with New Software Applications Reason % of Respondents Reducing operating costs 46.72 Improving employee productivity 40.63 Streamlining/automating/integrating key business processes 33.87 Increasing revenue 33.78 Acquiring new customers 23.41 Improving ability to comply with requirements 21.79 Improving the effectiveness of sales and marketing 17.98 Improving customer loyalty/relationships 16.84 Expanding into new areas 14.84 Introducing new and/or improved products and services at faster rate Read More

In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

applications of data mining in banking  IBM,analytics,queries,data warehouse,data analytics,data warehouse toolkit,database queries,reporting analytics,data warehouse design,data warehouse architecture,data warehouses,data mining warehouse,data warehouse etl,business intelligence data warehouse,data warehouse database Read More

Collaboration 2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of 'Enterprise 1.0' to the People-Centric World of Enterprise 2.0


Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially oriented and real-time collaboration solutions to instantly and seamlessly increase productivity between employees, suppliers, customers, and stakeholders. This white paper discusses new products, services, and technologies entering the enterprise collaboration space.

applications of data mining in banking  2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of 'Enterprise 1.0' to the People-Centric World of Enterprise 2.0 Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially oriented and real-time collaboration solutions to instantly and seamlessly increase productivity between employees, suppliers, customers, and stakeholders. This white paper discusses new Read More

The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

applications of data mining in banking  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More

Fundamentals of Managing the Data Center Life Cycle for Owners


Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.

applications of data mining in banking  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and Read More

Keeping Projects in View and Costs in Line


In construction and services, matching the right people to the right projects is mission-critical if those projects are to show actual profits. But determining profitability takes time—not a common commodity today. What’s needed are tools to track, identify, and report all contract and project activity—an integrated view of all job details, including the critical factors that determine profitability.

applications of data mining in banking  Projects in View and Costs in Line In construction and services, matching the right people to the right projects is mission-critical if those projects are to show actual profits. But determining profitability takes time—not a common commodity today. What’s needed are tools to track, identify, and report all contract and project activity—an integrated view of all job details, including the critical factors that determine profitability. Read More

SAP In-memory Appliance (SAP HANA): The Next Wave of SAP In-memory Computing Technology


Download this datasheet to get a rundown of SAP HANA's functionality and the benefits it can provide for your business.

applications of data mining in banking  In-memory Appliance (SAP HANA): The Next Wave of SAP In-memory Computing Technology Download this datasheet to get a rundown of SAP HANA's functionality and the benefits it can provide for your business. Read More

Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

applications of data mining in banking  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More

Comparing the Total Cost of Ownership of SME On-premise Business Management Applications and SAP Business ByDesign


This document analyzes the cost of ownership for a typical on-premise small and medium enterprise (SME) business management system, and compares it to the cost of an equivalent SAP Business ByDesign implementation. It uses a mixture of different on-premise systems rather than any single vendor's product. Although there are many similarly equipped business management products available, they all compete closely on price.

applications of data mining in banking  SME On-premise Business Management Applications and SAP Business ByDesign This document analyzes the cost of ownership for a typical on-premise small and medium enterprise (SME) business management system, and compares it to the cost of an equivalent SAP Business ByDesign implementation. It uses a mixture of different on-premise systems rather than any single vendor's product. Although there are many similarly equipped business management products available, they all compete closely on price. Read More

Best Practices in Food Traceability: Be Able to Respond to Audits in Just Minutes


Today’s ever-increasing frequency and cost of food and beverage recalls harm not only the companies directly affected, but all processors in the industry. See how leading food processors are turning to innovative software solutions, like Plex Online, to develop a complete food safety management system that enables them to achieve best practices in food and beverage processing quality and a high level of traceability.

applications of data mining in banking  Practices in Food Traceability: Be Able to Respond to Audits in Just Minutes Today’s ever-increasing frequency and cost of food and beverage recalls harm not only the companies directly affected, but all processors in the industry. See how leading food processors are turning to innovative software solutions, like Plex Online, to develop a complete food safety management system that enables them to achieve best practices in food and beverage processing quality and a high level of traceability. Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

applications of data mining in banking  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More