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Documents related to » data warehouse automation olap


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

data warehouse automation olap  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More
The Importance of Plant-level Systems
The information technology (IT) environment in manufacturing is facing a dramatic change. Traditional systems must evolve to support near real time

data warehouse automation olap  companies move toward using data collaboratively to support business processes. Originally, companies acquired plant systems to support narrow functional requirements, such as production order tracking, quality assurance (QA), time and attendance tracking, warehouse management, laboratory systems, production scheduling and sequencing, or plant and equipment maintenance and repair depot management. However, in the New Economy where an environment of increased collaboration, information sharing, real Read More
Understanding Business Intelligence and Your Bottom Line
Given that virtually all small and midsized businesses can benefit from business intelligence (BI) tools, the real question is how much of this technology

data warehouse automation olap  their company''s vital business data any time they want over the Internet. Make sure your BI solution enables you to access your KPIs such as sales, product and customer analyses, income and balance sheets, and inventory reports whenever you are out of the office. Report Automation '' To stay ahead of the competition, most SMB companies can''t afford to sit back and wait for their IT or accounting departments to provide the information they need to make informed decisions. They must be proactive in Read More
The Strengths of a Vertically Centric Enterprise Software Provider
Verticent, a revitalized reincarnation of the languishing public mid-market enterprise applications vendor PowerCerv, seems to be thriving under a financially

data warehouse automation olap  centers, order management, product data management (PDM), engineering change management (ECM), tooling management, cost management, etc. Support Plus with help desk support, case management, workflow/escalation, knowledgebase, contracts/warranty, product registration, return & repair, quality reporting, etc. SFA Plus supporting telesales/field sales, account profiling, contact management, calendar management, activity management, marketing campaigns, opportunity management, forecasting/pipeline Read More
Analyse This
Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and

data warehouse automation olap  Market Impact With company''s data warehouses now filled with terabytes of historic data it is crucial to adopt tools that would allow marketers to better understand their customers and build adapted strategies for a true one to one relationship management. The increasing demand to allow end users to access, analyze, and deliver information in an organization has amplified the need for the business intelligence (BI) market and its technology. Understanding customer behavior is important to adjusting Read More
Simulation In The Warehouse
Simulation can remedy one time and ongoing problems in the warehouse. Learn about the technology of computer stimulation and how it can benefit senior

data warehouse automation olap  In The Warehouse Simulation can remedy one time and ongoing problems in the warehouse. Learn about the technology of computer stimulation and how it can benefit senior management in the logistics, distribution, and warehousing industries. This paper will describe the benefits of simulation as an analytical tool and the industrial lessons learned from failed simulation projects. Read More
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

data warehouse automation olap  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization''s customer-related data does not affect a company''s bottom line, unless Read More
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

data warehouse automation olap  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data warehouse automation olap  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

data warehouse automation olap  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

data warehouse automation olap  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data warehouse automation olap  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data warehouse automation olap  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise 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

data warehouse automation olap  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

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