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April 29, 2008

Let’s talk data security

Filed under: Data Integration, Data Migration, Data Quality — Alena Semeshko @ 11:49 pm

You are at the stage where you’ve already realized that your company lives and thrives on data (research, development data, customer private data, contact list, spreadsheets and tables etc.). You work so hard and do everything you can to keep your data clean and consolidated, and once you finally have the system that delivers quality at hand, you realize that your data isn’t exactly safe. Bummer! Today, when information is as valuable as it is and companies cannot afford having it stolen, lost or disclosed, information security becomes the critical element and basically the driving force in most business processes.

All potential threats can be divided into external or internal ones. External threats include unauthorized programs (such as worms, Trojan viruses, spy-programs, etc.), and there is really no universal solution that would protect your company from all types of threats, that’s why there are so many specialized tools taking care of each particular problem. These can be efficient, I’ll have to admit. However, it’s the internal threats that usually make companies most vulnerable. And two of the most probable scenarios of information security violation are 1) the deliberate theft of confidential data by authorized users (or so called insiders) and 2) unintentional leak that can be caused by a number of factors (lack of awareness about company’s security policies, for instance).

When creating an information security system, developers try to extend its functional to the maximum so as it would ensure extensive protection. Even operation systems today contain security functions designed to increase the enterprise’s safety level. But this “universality” is unacceptable when speaking of valuable data. A universal security system becomes useless in corporate networks where internal threats (whether intentional or not) prevail.

A recent Forrester survey of 305 security and email professionals revealed some scary but realistic statistics:
1 in 3 companies investigated a breach of confidential data last year.
1 in 4 companies experienced an “embarrassing” leak of confidential information.
1 in 5 emails contains a legal, financial or regulatory risk.

Ways out? Again, a global approach. This article on EbizQ.net suggests Data Loss Prevention (DLP) technologies as a way of securing your most valuable asset and creating transparency by enabling companies to monitor and track the whole data flow. Transparency is good. Transparency is good everywhere actually. Come to think of it, transparency is the key to creating a healthy and productive environment. Even in data integration systems, transparency is a neccessity, allowing you to see where your sensitive data is going, how it’s being transformed and saved and howsecure it is during these transactions. Transparency is another global asset that needs to be integrated into the corporate system o values. You could say, of course, that transparency is just another vague notion (like total security and clean data), perfection hard to achieve, especially for the old market players with set processes. Hard, yes, but not impossible. It’s something to go for. In the end, when your transparency efforts deliver security, it’s your company that will benefit.

So, looks like get transparency equals get security.

p.s. keep in mind, like with anything that has to do with data cleansing, integration and migration, technology usually comes in more handy and much cheaper than employees’ training!

April 28, 2008

Salesforce Professional Network on LinkedIn

Filed under: Data Integration — Alena Semeshko @ 10:03 pm

April 27, 2008

DIG 2008: Decisions, Information and Governance

Filed under: Data Integration — Alena Semeshko @ 10:23 pm

April 25, 2008

Good Customer Data is a Must-Have

Filed under: Data Cleansing, Data Integration, Data Quality, ETL — Alena Semeshko @ 12:58 am

April 22, 2008

Data Quality At Large

Filed under: Data Cleansing, Data Quality — Alena Semeshko @ 10:35 pm

April 18, 2008

Wrong Approach to Data Quality, Right Approach to Data Quality.

Filed under: Data Quality — Alena Semeshko @ 2:24 am

April 17, 2008

Apatar CDYNE Phone Verification Connector Released

Filed under: Data Quality — Tags: — Alena Semeshko @ 4:34 am

April 15, 2008

SaaS goes Open Source

Filed under: Open Source — Tags: — Alena Semeshko @ 10:56 pm

April 14, 2008

Overdoing it with mashups

Filed under: Data Mashup — Alena Semeshko @ 10:24 pm

April 13, 2008

More Awesome Mashups

Filed under: Data Mashup — Alena Semeshko @ 9:52 pm
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