If you’re researching work at home opportunities then you’ll see plenty of ads for data entry, however very few are actually legitimate data entry jobs. Promises of huge earnings for little work are a common theme, but most of these programs are just scams. If something looks too good to be true then it probably is, and there’s no such thing as ‘get rich quick’ online. Claims like this are made to sucker innocent people into spending their hard earned cash on joining these programs – unfortunately they get very little in return.
Legitimate data entry work entails typing and submitting advertisements for companies’ products and services to Google, Yahoo and classifieds sites for potential customers to see. If a sale is made through one of those advertisements you earn a commission. The best way to get started with data entry is to join a program that will teach you about the kind of advertisements you need to type, where to submit them and give you a database of companies that you can work with.
There are many ways to avoid scams and ensure that you find a legitimate data entry program. Always look for member reviews and consumer reports on the company or program you are considering. Read discussions on work at home forums – you may find people discussing your chosen program. Also make sure they offer a money back guarantee.
Data Entry Made Easy is one reputable program that offers a legitimate data entry opportunity. They give you full step by step instructions on how to sign up for affiliate programs and guide you through the process of typing and submitting ads online. They show you where to find a list of over 11,000 companies and you can earn commissions on any ads you type promoting these companies products. The support is good and it is a well established company that has been around for years.
This is a low risk opportunity and has many advantages including the ability to choose your own schedule. You can even do data entry part time if you already have a job. Online data entry is a genuine way to make money online, and it is possible to be very successful with some time and dedication.
By: Jeff Kinnestin
Legitimate Data Entry Jobs From Home – Here’s How to Find One
March 8th, 2010 by admin No comments »Data Flow Management
March 8th, 2010 by admin No comments »
Data flow management in businesses is a process of combining data from diverse data channels, improving the quality of the data and providing accessibility to the data. Contact centers and call centers figure topmost among businesses where there is a large inflow of data which requires streamlining and organizing. In any business environment, customers, products and other pertinent details comprise important data which decide the future of the business. Organizing and managing this data flow is highly significant.
Data flow management involves a series of steps. First diverse data regarding customers, products etc., is collected and converted into an understandable format by target applications. Data flow management software can be employed to identify the data patterns and re-arrange them in a logical order. The next step is data integration which involves incorporating and integrating the business rules and applying them across diverse data sources.
Next come the processes of checking the integrated data and replacing incorrect data with the correct data. The software can recode misspellings, identify ?throw away? phrases, handle special characters and match the customer and product data phonetically. In a contact center environment, the data is distributed to the contact center agents after the 3 initial steps. Effective data distribution helps the agents to complete customer data, enabling them to obtain ?the right information at the right time? to satisfy the customer. This is true in any business environment where managing data flow is crucial to running the business systematically.
Effective data flow management involves a number of technical processes, and selecting suitable software and hardware tools to perform these tasks is a major feature of data flow management. Other requirements for managing data flow are a well-trained staff and executive team who recognize the importance of data quality and integrity.
By: Max Bellamy
Data, Data, Everywhere
March 6th, 2010 by admin No comments »
Remember the days of 40MG hard drives? Or how excited you were when you had a Gig of disk space on your laptop? Yet now we can travel with 1/2 TB of space on a flash drive smaller than a paperback. Technical advances and dropping prices allow us to give users what they want-more space to store their stuff. But as George Carlin pointed out in his famous stand-up routine about Stuff, some challenges can result. Read on to find out what we are seeing as we visit customers, plus some great solutions to help.
The Challenge:
We are living in the information age and data is king. Users want rapid access to their data and don’t want to have to worry about losing an important document or email that they might need ’some day.’ In a society where discovery for court cases has extended to electronic documents, penalties can be high for not being able to produce the right document. As we visit customers, we see both file system and email stores growing out of control. It seemed to happen overnight and everyone is talking about it. So why not just keep adding disk space? After all, as we stated above, disk space is cheap and easy to come by. However, some serious challenges arise from simply adding disk space to disk space:
1. Backup Windows Are Extended: Depending on your particular rotation strategy, some backups may be finishing just as your users are logging back into the network.
2. Maintenance Takes Longer: If you do have a hardware or software issue, rebuilds of large data volumes (such as NSS pool rebuilds) can take a great deal of time and put your systems out of production, thus impacting user and business functions.
3. Data Migrations Take Longer: While we can do seed and delta copies when migrating to new hardware, all of these take longer and longer as our stores grow.
Some Solutions:
There are many ways to solve this situation – all revolving around reducing the size of your production data stores and putting less-recently-used files and data off to cheaper devices that need to be backed up less frequently. Here are three options to consider:
1. Email Archiver: While email archivers were originally used to capture all emails in the event of a court case, they are also a great way to reduce the size of your post offices. The advantage is that users have the comfort of knowing that the data is still available if they need it, and thus are less likely to complain about archiving and retention policies. Solutions like Messaging Architects M+ Archive support stubbing, so users ’see’ the email as if it were in their mailbox.
2. Dynamic Storage Technology: Included with OES, DST allows users to create a shadow volume and move less-frequently-used files off to cheaper storage based on the policies you set. Users see the files as if they were still on the same volume. When they access them, the files are automatically moved back to the production disk. The cheaper storage can be backed up less frequently and at a time that is convenient for you. Plus, you reduce the size of your production data volume.
3. Novell Storage Manager: Novell Storage Manager allows you to create storage limitations for various groups and automatically move files to the storage device of your choosing – all based on the policies you define. The program snaps into eDirectory. It is great for schools who are moving student files to new directories based on class enrollment. It also permits or prevents the storage of certain files based on groups; for example, you can pre-determine to only let your music class students and faculty store MP3s.
Like any other implementation, planning for the needs of your organization is key. But by selecting a few of these strategies, you can find a place for everyone’s ’stuff’ and still keep your network running at top speed!
© Copyright 2009, Uptime NetManagement, Inc.
By: Donna Moyer
