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Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

data mining thesis free download  Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process. Read More...

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.

data mining thesis free download  the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors announced their support for the new protocol, which will enable diverse data mining products to more easily exchange data and results and allow developers to more easily Read More...
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Documents related to » data mining thesis free download


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. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

data mining thesis free download  The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other Read More...
About Big Data
There may not be a consensus with respect to just how big "big data" is, but not many people will disagree that managing these huge amounts of data represents a challenge. TEC research analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions.

data mining thesis free download  About Big Data About Big Data Jorge García - November 18, 2011 Read Comments There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement Read More...
Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes. This is why the development of effective maintenance policies is generally the foremost consideration for modern asset managers.

data mining thesis free download  Asset Data for Accurate Lifecycle Management Asset Data for Accurate Lifecycle Management Daryl Mather - August 24, 2006 Read Comments Introduction Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes. Through the capture, storage, manipulation, and display of historical transactional data, companies can take great leaps forward in the efficiency with which they execute maintenance programs. They can Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

data mining thesis free download  Customer Data Integration: A Primer Customer Data Integration: A Primer Lyndsay Wise - September 11, 2009 Read Comments Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Read More...
IBM Announces IBM Security Intelligence with Big Data
IBM has announced IBM Security Intelligence with Big Data, an offering that combine big data analytics with security intelligence capabilities for addressing both internal and external cyber security threats. The solution aims to provide a comprehensive offering for security analysts to extend their capabilities in detection and prevention.<!--more--> Made in IBM Labs, Security Intelligence

data mining thesis free download  Security Intelligence with Big Data » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more about TEC s so Read More...
Securing Data in the Cloud
When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security policies, processes, and practices.

data mining thesis free download  Securing Data in the Cloud Securing Data in the Cloud Source: Symantec Document Type: White Paper Description: When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security Read More...
Zooming into an Inventory Free Flow
FreeFlow, a provider of business services with a patented technology, aims to help companies improve product life cycle profitability by providing a unique, online auction platform where companies can reduce their at-risk and excess inventory.

data mining thesis free download  and distributors they support. Data is uploaded manually or through system integration from the user company s inventory system, and extracted based on criteria agreed upon by the sales, finance, and supply chain management (SCM) organizations. The criteria are typically inventory policy (inventory in excess of an agreed number of weeks of supply) and product life cycle status (current, active products). Once the inventory listing is uploaded, authorized finance personnel will update the system with Read More...
The Bottom Line on Bad Customer Data
You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of

data mining thesis free download  Line on Bad Customer Data The Bottom Line on Bad Customer Data Source: Baseline Consulting Document Type: White Paper Description: You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no Read More...
More Data is Going to the Cleaners
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

data mining thesis free download  More Data is Going to the Cleaners More Data is Going to the Cleaners M. Reed - December 1, 1999 Read Comments Event Summary WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT), a leading global data management software company, today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership Read More...

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