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Documents related to » application in data mining


Custom Application Development
Custom application development is a trusted, tested strategy to ensure effective application of resources for business advancement and continuity, with minimal risk and solid return on investment (ROI). What’s that, you say? High cost? Low dependability? Long timelines? The custom application development model is plagued by myths. Find out why they’re all wrong.

APPLICATION IN DATA MINING: Custom Application Development Custom Application Development Source: Aalpha Document Type: White Paper Description: Custom application development is a trusted, tested strategy to ensure effective application of resources for business advancement and continuity, with minimal risk and solid return on investment (ROI). What’s that, you say? High cost? Low dependability? Long timelines? The custom application development model is plagued by myths. Find out why they’re all wrong. Custom Application
8/5/2008 3:07:00 PM

A Practical Guide to Web Application Acceleration
When it comes to your Web applications, speed is the only metric that matters. After all, Web apps handle the bulk of your critical operations, from inventory and customer relations, to sales and accounting. They’re essential for interacting with your business partners, and without them there’d be no such thing as e-commerce. Read this guide to find out what you can do to accelerate your Web applications to top speed.

APPLICATION IN DATA MINING: Practical Guide to Web Application Acceleration A Practical Guide to Web Application Acceleration Source: Citrix Document Type: White Paper Description: When it comes to your Web applications, speed is the only metric that matters. After all, Web apps handle the bulk of your critical operations, from inventory and customer relations, to sales and accounting. They’re essential for interacting with your business partners, and without them there’d be no such thing as e-commerce. Read this guide to find
12/4/2007 2:30:00 PM

Why Application Security Is the New Business Imperative -- and How to Achieve It
Businesses are being held increasingly accountable for their business application security—by customers, partners, and government. Unfortunately, most businesses are playing catch-up with security. What’s really needed are processes that fix the software development cycle by weaving security expertise into software acquisition, development, and deployment. Businesses that don’t take a process-oriented approach today may end up chasing application security forever.

APPLICATION IN DATA MINING: Why Application Security Is the New Business Imperative -- and How to Achieve It Why Application Security Is the New Business Imperative -- and How to Achieve It Source: Secure Software Document Type: White Paper Description: Businesses are being held increasingly accountable for their business application security—by customers, partners, and government. Unfortunately, most businesses are playing catch-up with security. What’s really needed are processes that fix the software development cycle by
5/15/2006 11:51:00 AM

Ten Reasons Why Application Hosting Makes Sense for Your Organization
This document explains Ultimate Software’s Intersourcing application and how it will benefit the company using it. Intersourcing is a hosting solution; this means the application is managed, supported and upgraded by an application service provider (ASP). Learn why application hosting makes sense for your organization.

APPLICATION IN DATA MINING: Ten Reasons Why Application Hosting Makes Sense for Your Organization Ten Reasons Why Application Hosting Makes Sense for Your Organization Source: Ultimate Software Document Type: White Paper Description: This document explains Ultimate Software’s Intersourcing application and how it will benefit the company using it. Intersourcing is a hosting solution; this means the application is managed, supported and upgraded by an application service provider (ASP). Learn why application hosting makes sense for
4/29/2005 9:33:00 AM

Top Software for Mining Companies
For your own customized comparison reports, select a category below: ERP & CMMS for Mining. EAM for Mining. Accounting Software Systems.

APPLICATION IN DATA MINING: Top Software for Mining Companies Top Software for Mining Companies Comparing software solutions for mining companies can be difficult and time-consuming—but at TEC we make it quick and easy In just seconds, you can get free side-by-side software comparison reports. Choose from all the leading vendors—including Mincom, IFS, Microsoft, SAP, Lawson, Pronto Software, Infor, Mapcon Technologies, Bell Business Solutions, TARGIT, IBM, QlikTech International, Oracle—and many more. For your own customized
11/18/2010 9:00:00 AM

Creating a Winning Data Transmission Service
Creating a Winning Data Transmission Service. Get Advice for Your Evaluation In Relation To Data Transmission Service. Today’s data transmission departments are battling for budget and relevance. Moving files and ensuring delivery is getting tougher every day. To successfully deliver data to an increasing number of target platforms and meet rising customer expectations, leading companies are adopting service-oriented architectures (SOAs) and upgrading their file transfer departments into data transmission services. Find out more.

APPLICATION IN DATA MINING: the Connect® products for application developers, programmers, and business users. Final Words: Let s Get Busy Data transmission departments are in a battle for budget and relevance in the new Service-Oriented IT arena. This playbook provides both process and technology moves that can help you transform your data transmission department into a worldclass Data Transmission Service. Your team, your processes, and your technology will get you to the goal line. Refer to your playbook to get everyone
11/3/2008 1:06:00 PM

Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

APPLICATION IN DATA MINING: our CRM solutions and application products. OLE DB for Data Mining has been under vendor review and modification since its introduction last May at Tech*Ed 99 and now incorporates the Predictive Model Markup Language (PMML) standards from the Data Mining Group, an industry consortium that facilitates the creation of useful standards for the data mining community. PMML is an XML-based language that provides a quick and easy way for organizations to define and share data mining models between compliant
3/28/2000

Spend Data Warehouse “On Steroids”
It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics.

APPLICATION IN DATA MINING: Spend Data Warehouse “On Steroids” Spend Data Warehouse “On Steroids” Source: Zycus Document Type: White Paper Description: It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need
4/5/2007 1:58:00 PM

A CRM System Needs A Data Strategy
A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.

APPLICATION IN DATA MINING: administrative tools to monitor application usage and guarantee levels of service. Conclusion Developing an effective data strategy for the CRM process can make optimal use of the information needed to better run a company. Success is ultimately based on decisions about both who is pursued and who is wooed for retention as customers. A CRM solution should have the tools and flexibility to support that ongoing mission. Intelligent data analysis can show if marketing activities fit customer acquisition and
7/3/2003

Infor s Big Data Cloud in the Sky » The TEC Blog
integration platform will support application interoperability and data transition between on-premises and cloud solutions. In addition, it will be powered by the ION BI stack, incorporating industry and role best practices built on Infor ION Business Vault —a repository of standard business documents and transactional data that is exchanged between multiple enterprise systems. Corporate data is all too often fragmented across diverse commercial, legacy, and custom applications. Using ION, customers

APPLICATION IN DATA MINING: amazon redshift, bi, big data, Cloud, ERP, industry watch, infor, infor 10x, infor ion, infor mingle, infor sky vault, inforum 2013, sap hana, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
02-05-2013

The Three V s of Big Data
Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The analysis of these three key attributes can be extended into understanding what big data means to the financial planning and analysis function. This article identifies the technology developments converging to create the big data rush and examines how the financial planning function is impacted by volume, velocity, and variety of data.

APPLICATION IN DATA MINING: big data, financial planning, performance management, effective planning.
7/10/2013 10:00:00 AM


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