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ERP for the Oil and Gas Industry (Upstream)
The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government...
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Documents related to » develop technical data


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

develop technical data  macroeconomic trends, which may develop into ancillary businesses in their own right. Number-crunchers have even uncovered match-fixing in Japanese sumo wrestling. Dross into gold Data exhaust —the trail of clicks that internet users leave behind from which value can be extracted—is becoming a mainstay of the internet economy. One example is Google''s search engine, which is partly guided by the number of clicks on an item to help determine its relevance to a search query. If the eighth listing for a Read More...
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

develop technical data  of how they can develop and implement a data strategy to guide both the acquisition and retention phases of a marketing campaign - within which a CRM system can be optimally flexed. Supporting Acquisition The first goal in the acquisition phase must be deciding which prospects most closely match the profile of an ideal prospect. Cherry pick prospects and resist chasing those that don''t meet acquisition criteria. Keeping marketing efforts sharply focused will cut costs and increase your CRM return on Read More...
Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

develop technical data  policy designers begin to develop a management program, they are almost always confronted with a lack of reliable data to base their judgments on. It has been the experience of the author that most companies start reliability initiatives using an information base that is made up of approximately 30 percent hard data, and 70 percent knowledge and experience. One of the leading reasons for this is the nature of critical failures and the response they provoke. However, there are often other factors such as Read More...
Minimizing the Total Cost of Technical Support for Enterprise Applications
Many organizations don’t follow formalized processes for technical support evaluation. However, technical support is a vital component of any enterprise

develop technical data  help the organization to develop processes for when the solution is in trouble. There are also a number of software applications that a company can use along with the methodology to complement organizational processes in order to minimize the risk of having poor and inefficient technical support. These might include a service management application (SMA) or a business activity model (BAM). An SMA or BAM will be able to detect a technical problem when it occurs, and report it to the IT manager responsible Read More...
Planning Horizon of a Technical Personnel Management System
Airlines struggle every day to reduce costs, maintain the level of customer service, and have more efficient processes, and this puts more pressure on line

develop technical data  this company must also develop part of the requirements I described in this article. Conclusions Due to the complexity of aircraft line maintenance, there is a need for a technical personnel management system that has specific features and that is different from what is already in the market. This system should have an open architecture that allows it to communicate with other systems or create interfaces that do not represent an issue for platforms and programming; it must be able to identify 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

develop technical data  account, as they were developed independently of one another. This means that data may be captured in different ways. For example, customer address information and name may be recorded in different formats within different business units. When data is pulled from one system to another, this particular customer information may not be synchronized. CDI and Data Integration CDI represents a consolidated view of customer data. Aside from MDM, which looks at the whole organization, data integration generally Read More...
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

develop technical data  that enables iterative, flexible development to meet the organization''s changing needs. The best approach and the only practical one is driven by the data and its constraints, with the team designing as it continues to learn more about the technical issues and business objectives of the project. Centralized Resources When organizations view each application project as a standalone effort, they often don''t realize that some of the expertise that the team has developed could be applied to another project. 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

develop technical data  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

develop technical data  anti-virus software Requirement 6: Develop and maintain secure systems and applications Implement Strong Access Control Measures Requirement 7: Restrict access to cardholder data by business need-to-know Requirement 8: Assign a unique ID to each person with computer access Requirement 9: Restrict physical access to cardholder data Regularly Monitor and Test Networks Requirement 10: Track and monitor all access to network resources and cardholder data Requirement 11: Regularly test security systems and Read More...
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

develop technical data  making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. Note Executive Summary Introduction Balanced Configuration Interconnect Disk Layout Logical Model Physical Model Staging layer Efficient Data Loading Foundation layer - Third Normal Form Optimizing 3NF Access layer - Star Schema Optimizing Star Queries System Management Workload Management Workload Monitoring Resource Manager Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

develop technical data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

develop technical data  big data,innovation,data management,data platforms,data ecosystems Read More...
Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

develop technical data  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

develop technical data  new software systems were developed. The data warehouse is its most important character. A collection of subject-oriented, integrated, time-variant, and non-volatile data is what we can call a data warehouse. This data is used to support the decision-making process of an organization''s management team. A data warehouse is used to integrate all of an organization''s historical data, and has the ability to store snapshots of its transactions. All information generated from the operational data source is Read More...

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