What is Data Management?
Posted On Friday, April 24, 2009 at at 10:31 PM by web research
In today's competitive business world, company owners are working hard to find ways of getting and staying ahead. As to what is data management, it is a highly effective tool that plays an integral role for any business that wants to skyrocket to success. Over the years, the importance of IT or Information Technology has opened doors through innovative tools that are designed to not only analyze but also manage data.
Before computers, data was maintained in folders but now, we have some incredible tools that can help pull all stored data together, allowing it to be worked and managed in an effective and efficient manner. The bottom line answer as to what is data management - this is one of the most valuable keys for any business owner to run a company seamlessly.
Interestingly, while many people know there are important answers to the question what is data management, some fail to realize that regardless of the company's operation, a tool such as this can greatly improve overall performance. With so much data being gathered electronically, there has also become a serious need for solid data management. Every day, companies see an increase in data and unless they can get a good grip of it, keeping it organized, the business would simply not survive.
Therefore, what is data management - this is something every company needs if they want to be around for years to come. After information has been collected from numerous resources, a part of the management process is to analyze, sort, and organize the data so it can then be stored or sent to its next working point. In addition, good data management would help convert data into information that can be used in a powerful way.
When asking what is data management, you want to keep in mind that new technology has taken a basic concept and transformed it into various types of software and database applications specific to data. The applications on the market today are capable of doing so much with data such as sorting, searching, and even organizing it for presentation. The best part is the final format is professional and concise so the individuals looking at the data see a finished product, not merely a database of information that has yet to be deciphered.
The benefits of using data management are that companies find better operations, as well as a reduction of cost. Instead of having manual labor goes through mounds of data, these software applications to the majority of the work. Obviously, this saves a tremendous amount of time and effort, and again, money that could be used for the growth and success of the company in a different way.
Typically, any company interested in ways of maximizing value and benefits of available data, along with those who have large databases who understand the importance of protecting information need data management. Now, in answer to what is data management, it has to be a reputable system, one that has been designed to not only track and monitor data, but also manage, distribute, simplify, and verify processes for gaining and using information.
Even small companies have a tremendous amount of data, some irrelevant and some proprietary. To ensure the company can use all types of data to improve on the performance, scalability, and the production of how data is used, data mining is the number one solution. Being able to store data in its respective place and then having the ability to access the data all while knowing it is protected is a vital tool needed by all companies, large or small, and regardless of industry.
The bottom line in answer to the question of what is data mining is that in this world of computer technology, being able to strategically manage and operate a business depends heavily on data, which includes the way it is gathered, stored, manipulated, and shaped. Each type of company needs to use data management in a way that will benefit their specific industry best. What is data management - a system that has the capability of doing just that!
Without doubt, data management has quickly become a staple in the startup and growth of companies around the world. This one tool alone will aid in the way the business policies and procedures are established and then managed. Using a discipline such as this allows a wide variety of processes to be completed in a professional and secure way. Keep in mind that when answering what is data management, there are many dynamics to include modeling, administration, warehousing, mining, movement, security, quality assurance, architecture, software, and much more, all working together.
I began my professional career upon graduation from Virginia University with a BS in education in 1964. I enjoyed a rewarding career educating future generations, and as a retired teacher, I currently work on distance learning programs. My strongest area of teaching is online education.
I served as a consultant to various institutions for best practices on online teaching methodology. I conducted workshops on e-learning, and collaborated with local schools.
Article Source: Goarticles
BelWo Clinical Trial Data Management
Posted On Thursday, April 23, 2009 at at 9:39 PM by web research
The processing, handling and retrieval of clinical data, is at the heart of a successful clinical trial. Managing data in every sphere of business is highly essential. Data management enables how an entire organization flows in a methodical, systematic and processed way. However, above and beyond any other field, data management is critical in dealing with clinical trial research material.
BelWo Data Management System:
Once the data is acquired, the management of the data is essential to the success of the trial. The collected data is located on case report forms (CRF) and stored in the clinical data management system. Each case report form is named to avoid any mistakes. The data is checked for any typographical errors as well as any logical errors. Data coding is also done by the management system. Coding is done mainly to introduce medical terms into the attained data. In the end, the data is analyzed by regulatory authorities to approve or disprove.
BelWo provides a range of Clinical Data Management services to fit your specific clinical trials needs. The BelWo clinical trial data management team handles individual stand-alone services for smaller research trials to more complex data management for larger clinical trial studies.
BelWo’s objective is to convert the data into a reliable, accurate and meaningful trial output that meets international quality standards and regulatory guidelines. BelWo's clinical data trial management services have defined systems that enable faster decision-making.
BelWo Services:
Case report form (CRF) design
Database design and study setup
Data entry and verification
Data validation and query resolution
BelWo Benefits:
Increase quality of data captured during clinical research process
Reduced burden placed on healthcare professionals conducting clinical trials.
Improved patient care
Improved product and patient safety
Our clinical trial data management has provided a positive effect on speed, efficiency and the results of clinical trial studies since 2002. By utilizing technology, our data management services and clinical trial expertise we help you get the most from your data. BelWo's clinical trial data management provides accuracy, security and more control at a cost effective rate.
BelWo Inc. is a leading provider of Legal Process and Business Outsourcing (BPO/LPO) services. BelWo is headquartered in Troy, NY (USA). The global, BelWo service centers are located in Chandigarh, Pune, Bangalore, India and the Middle East. As a leader in outsourcing, BelWo Inc. provides Clinical Trials Document Management, litigation support and legal document management services.
Article Source: Articledashboard
Data Collection, Just Another Way To Gather Information
Posted On Wednesday, April 22, 2009 at at 10:58 PM by web research
Government, manufacturing industries, advertising firms, non-governmental organizations conduct data collection just to gather information regarding views, opinions and reactions form the public or the target consumer and use it for various decisions and actions.
Data collection just does not help the companies to launch new products or know about the public reaction to a specific issue, it is a very useful tool for statistical inferences, once the collected data is compiled. The process of data collection is the third step of the six step market research processes. Data collection can be done in two ways involving various technicalities. In this article, we shall give a brief overview of the same.
Data collection can be done in two ways - secondary data and primary data. Secondary data collection involves is the information available in books, journals, previous researches or studies and the Internet. It basically involves making use of the data already present to build or substantiate a concept.
On the other hand, primary data collection is the process of data collection through questionnaire by directly asking respondents of their opinions. Forming the right questionnaire is the most important aspect of data collection. The researcher conducting the data collection just has to be aware of the process. He should have a clear idea about the information sought by the concerned party.
Besides, the data collection officer should be able to construct the questionnaire in such a way so as to elicit the responses needed. Having constructed the questionnaire the researcher should identify the target sample. To illustrate the point clearly, we shall look into the following example.
Suppose, data collection is aimed from an area A, then, if all the residents of the data are given the questionnaire, it is called a census or in other words data collection is done from all the individuals of the specified area. One of the most common examples of data collection done by the government is census. For example the population census conducted by the US Census Bureau every ten years. On the other hand, if only twenty or thirty percent of the population living in area A are given the questionnaire, the mode of data collection would be called sampling.
The data collected from the target sample with a well-defined questionnaire will project the response of the entire population living in the area. Data collected from a sample helps to control the cost and time spent on collecting data from the population. Sample is a part of population.
Data collection just gets easier from the target sample with the help of a pretested questionnaire, which is later analyzed using statistical tests like ANOVA, Chi Square test and so on. These tests help the researcher to infer the result obtained from the data collection.
Market research/data collection is a fast growing and lucrative career option now days. One has to undertake a course in marketing, statistics and research before starting out. It is indeed very important to have a through understanding of various concepts and the theories related. Some basic terminologies related to data collection are: census, incidence, sample, population, parameters, sampling frames and so on.
There are numerous jobs available from research agencies like A.C Nielsen, fast moving consumer goods (FMCG) companies or advertising firms, some government agencies, international developmental organizations and so on.
Article Source: ArticleTrader.com
Data validation made easy with iNetFormFiller
Posted On Thursday, April 16, 2009 at at 10:04 PM by web research
iNetFormFiller batch-submits your data to web forms and kills manual data entry as you send the entire selection of records to the target web forms in a single mouse click. Don’t waste your time on filling the same form over and over again!
The technology can be applied in many sectors: banking, financial, industry, IT. This particular case study shows how the solution can be implemented in banking.
In February 2008, we were contacted by a middle-sized bank located in Luxemburg. The faced the following problem.
The bank needed to validate data received from their clients. Until that time, the bank could not do without manual data entry.
PROBLEMS TO SOLVE: • Human errors related to manual data entry • Time spend on data validation • Use of scripts developed by third party
SOLUTION • Create a web-based interface for data validation • Use package software for data submission (integration of new features into existing system would be time-consuming)
BENEFITS • Only once technical effort per client • Client in charge of the data submitted • Reduction of manual data entry • Reduced intervention of third party
Says IT analyst of the bank: "It was a complicated task to find exactly what we wanted. So when we came across iNetFormFiller website, we were skeptical. We tried many products before, but they all were reliant on macro scenarios, but our web forms provide Java script and change configuration of fields as the operator enters data. iNetFormFiller proved to analyze the HTML code instead and correctly populates even the fields that are invisible with default form layout… We are not a large bank, but every day we need to process 800-900 entries, which would take 3 to 5 minutes per record manually, and 2 or 3 seconds with iNetFormFiller in automatic mode or 15-20 seconds in manual mode with step-by-step validation. In addition to saving operators’ time, iNetFormFiller is more reliable that human error-prone manual data entry. So far, we haven’t had any complaints about it."
Article Source: http://www.ArticleBiz.com
Database Management Services
Posted On Sunday, April 12, 2009 at at 10:20 PM by web research
In the database management service, there exists a collection of interrelated files and a set of application programs to access and modify these files. The details of data storage, the way of storing data and its maintenance are safely hidden from the users. The database management services allow not only a single user, but it can be accessed by multiple users at the same time. This feature of multiple usages is allowed by almost every database management service provider.
A database management does not involve the problem of data redundancy or inconsistency. Its design is such that it provides the security mechanism to prevent unwanted users from accessing certain parts or whole of the database. For example, tellers in a bank see only that part of database that has information on customer accounts. They cannot access information about salaries of employees. It has many advantages over the file processing system, which stores the permanent records in various files. In this system the problem of redundancy prevails, as files and application programs are created by different programmers over a long period of time.
Besides keeping a tight control over data redundancy, efficient database management services also ensure the following:
Enforce user defined rules to ensure the integrity of data in table form.
Has a centralized data dictionary for the storage of information pertaining to data fields and data manipulation.
Database management ensures that data can be shared across all applications. It enforces data access authorization.
Database management service has an automatic, intelligent backup and recovery procedure of data.
A database management service also has its share of overheads. To begin with, its initial cost is very high, as it requires setting up of hardware, software and training, as well as, provision of security, concurrency control, and recovery and integrity functions.
Further on the down side, Database management service provides a generalized approach for defining and processing data. On the other hand, file processing system provides well defined database and applications that are simple and are not expected to change.
Smit Mathur is an expert for writting Articles and is currently working for Broadwayinfotech. For more information related to database management, Ecommerce Business Solution, Software Development, Web Application Development please visit:http://www.broadwayinfotech.com.au
Article Source: ArticleTrader.com
Data Validation Through Tissue Analysis
Posted On Thursday, April 9, 2009 at at 9:59 PM by web research
The existing body of literature using Western blot analysis has been primarily defined with data from tumor, immortal, and primary cells growing in vitro. Collectively, results obtained over decades have been integral to the dogma that up- and down-regulation of proteins can be leveraged as Biomarkers of normal development, homeostasis, and disease. However, in contrast to tissues which are composed of multiple cell types, cell lines growing in culture which theoretically consist of clonal populations. Thus, validation or modification of western blot parameters collectively established from decades of cell line data in tissue lysates is key for Biomarker discovery.
IMGENEX can provide you with normal post mortem, cancerous, diseased, and normal adjacent clinical specimens matching your requirements. Custom collection protocols are welcomed. Specimens are available as frozen or formalin-fixed, paraffin-embedded tissue blocks, and include clinical case and detailed pathology reports, as well as final diagnosis and staging. Learn more about this service by visiting our website, or downloading our Tissue Procurement literature.
Related Products
* Tissue Arrays
* Single Tissue Slides
* Tissue & Cell Lysates
* Extraction/ Fractionation Kits
* INSTA-Blot Ready2use WB Membranes
Article Source: Articlesbase
