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Warehouse Management Systems (WMS)
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction...
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Documents related to » ilm data warehouse architecture


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

ilm data warehouse architecture  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...
Establishing Enterprise Architecture Governance
This article discusses the issues around implementing architecture governance, and what constitutes viable approaches to establishing effective governance

ilm data warehouse architecture  Enterprise Architecture Governance Introduction The intent of the Enterprise Architecture is to define how to build systems and capabilities for the greater good of the enterprise. Architecture governance is the process by which IT projects are reviewed in terms of their alignment with a defined architecture, and corrective changes made. John Zackman, in a recent article (DM Review, December 1999) called architecture a ''countercultural'' activity. What he meant by this was that IT''s attention 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

ilm data warehouse architecture  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...
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

ilm data warehouse architecture  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 Read More...
Acumen Data Systems
Acumen Data Systems provides employee time and attendance systems and software. Its software@s focuses include job tracking, shop floor data collection, and

ilm data warehouse architecture  Data Systems Acumen Data Systems provides employee time and attendance systems and software. Its software’s focuses include job tracking, shop floor data collection, and employee scheduling. Read More...
How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak

ilm data warehouse architecture  to Solve Your Warehouse Woes . Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. Whether it’s increased global competition, more demanding customers, a tighter economy, or the rising cost of materials that’s keeping business owners awake at night, the hard truth is that if they want to remain competitive in today’s global marketplace, they need to find more efficient ways to Read More...
The MicroStrategy Architecture
If you’re in the midst of evaluating business intelligence (BI) software, this datasheet sheds light on a BI solution based on a relational online analytical

ilm data warehouse architecture   Read More...
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

ilm data warehouse architecture  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More...
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

ilm data warehouse architecture  Teradata Database and the Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

ilm data warehouse architecture  Importance of a Single Product for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. 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

ilm data warehouse architecture  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 pa Read More...
Warehouse Control Systems: Orchestrating Warehouse Efficiency
You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play

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Architecture-Centered Information Systems In The Manufacturing Domain - Part III - Steps in the Architecture Process
Architecture bridges the semantic gap between the requirements and software. Application software systems must be architected in order to deal with the current

ilm data warehouse architecture  Centered Information Systems In The Manufacturing Domain - Part III - Steps in the Architecture Process Glen B. Alleman is associated with Niwot Ridge Consulting, www.niwotridge.com About This Note: This note is presented in five parts as follows: Introduction to Software Architecture The Architecture Process Steps in the Architecture Process Moving from Planning to Implementation Applying the Methodology Part III - Steps in the Architecture Process Without a framework for defining Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

ilm data warehouse architecture  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

ilm data warehouse architecture  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...

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