X
Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
Get free sample report

Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 data mining supply chain


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

data mining supply chain  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 aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine which ERP vendors use data mining techniques and whether these techniques are

Read More


Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Supply Chain Event Management RFI/RFP Template

Monitor and Resolve,Integration,Business Intelligence and Reporting,Business Applications Catalogue,Data Management,Architecture, Product Technology 

Evaluate Now

Documents related to » data mining supply chain

Supply Chain Management Systems for Service and Replacement Parts: Players, Benefits, and User Recommendations


Improved service management boosts revenue from both service offerings and new product sales, while improved customer service and enhanced offerings increase customer retention, and draw new service business, providing an additional, low risk and likely repeated revenue stream over a long period of ownership.

data mining supply chain  acquisition of former Western Data Systems (WDS) in 2002, a depot repair ERP solution provider (see Manugistics Indulges in the Open M&A Season ). Still, both vendors have applied their solutions to other industries that have to deal with expensive, low-volume service parts requirements, like telecommunications, industrial equipment, and high-tech/commercial electronics. Although i2 has Southwest Airlines as its marquee A&D customer, i2 has focused more on industries with somewhat higher-volume and Read More

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

data mining supply chain  online, are masters of data mining (or business intelligence , as it is now known). By analysing basket data , supermarkets can tailor promotions to particular customers' preferences. The oil industry uses supercomputers to trawl seismic data before drilling wells. And astronomers are just as likely to point a software query tool at a digital sky survey as to point a telescope at the stars. There's much further to go. Despite years of effort, law-enforcement and intelligence agencies' databases are Read More

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

data mining supply chain  Data Cleansing Server | Data Mining | Data Cleansing | Cleanse Data | Data Improvements | Structured Data | Data Values | Data Cleansing Modules | Automated Data Cleansing | Supply Chain Data | BPM Data | BPM Data Cleansing | BPM Consumer Data | BPM Precise Data Cleansing | BPM Data Quality | BPM Data Cleansing Tools | BPM Data Cleansing Solutions | BPM Accurate Data | BPM Source Data | BPM Data Warehousing | BPM Data Scrubbing | BPM Outsource Data Cleansing | BPM Data Bureau Services | BPM Data Read More

Scalable Data Systems


Scalable Data Systems is one of APAC’s most experienced Microsoft Dynamics AX partners. The company manages a wide variety of implementations, from rapid fast-track projects to complex integration and development projects. Scalable has over 25 years of experience developing best-practice industry solutions and individual horizontal modules. Scalable provides dedicated industry solutions for manufacturing and supply chain/distribution, with verticals for food and beverage, chemicals, agri/animal feed, and commodity trading industries. Scalable's solutions are suitable for process, discrete, and batch (mixed-mode) manufacturing. Over the past 12 years, Scalable Data Systems has been developing solutions to compliment/enhance the Dynamics AX series in the manufacturing and supply chain/distribution, commodity procurement/trading, and mining sectors. Scalable has developed or is developing a number of solutions which also support the Dynamics AX 2012 series in the mining and mining supply sector.

data mining supply chain  past 12 years, Scalable Data Systems has been developing solutions to compliment/enhance the Dynamics AX series in the manufacturing and supply chain/distribution, commodity procurement/trading, and mining sectors. Scalable has developed or is developing a number of solutions which also support the Dynamics AX 2012 series in the mining and mining supply sector. Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

data mining supply chain  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

data mining supply chain  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a 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.

data mining supply chain  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

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

data mining supply chain  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

data mining supply chain  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

data mining supply chain  Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More

The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

data mining supply chain  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

data mining supply chain  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

data mining supply chain  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

Supply Chain Collaboration: The Key to Success in a Global Economy


Outsourcing and global competition are forcing companies to transform their supply chains from linear processes into adaptive networks. Communities of customer-centric, demand-driven companies must share knowledge in order to adapt to changing markets, and respond to shorter life cycles. Discover how supply chain management (SCM) solutions can help your company create a truly adaptive and collaborative supply network.

data mining supply chain  exchange of key transactional data such as the following information: Purchase orders Production/work orders Sales orders POS information Invoices Credit notes Debit notes Payments Barriers to Effective Collaboration Obviously, all three levels of collaborative interaction can bring numerous benefits to you and your partners. However, establishing this kind of rapport can be difficult; there are numerous barriers to effective collaboration that you must either avoid or overcome. Heterogeneous Read More