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I rue the day when the bad guys come after my iPhone

I have become so hopelessly addicted to my Apple iPhone for a couple of reasons, not the least of which is that it has saved my butt on more than one occasion when I have been unable to get to my notebook to update this and my other way-to-many blogs. Indeed, when my laptop crashed a few weeks back on a trip for TechTarget to Chicago, I even submitted the repair request using the built-in Safari Web browser.

Needless to say, I am HUNGRY for the July 11 update iPhone software, which will mean that I can download e-mail from my work accounts transparently. But I am dreading the onslaught which MUST becoming of security threats released by both the nefarious and naughty. Data from the Computing Technology Industry Association (CompTIA) suggests that my feeling of dread is not unfounded. Here’s the blog entry that I wrote last month.

This Tekrati article about an ABI Research report is dated, but it presents a more complete picture about the exact nature of the threat as well as the managed services that are rising up to address it.

I also just found out about a new service from SMobile Systems that is worth your notice. The company offers something called the integrated Security Shield. The applications (which you get billed for on a monthly basis) can scout out viruses and malware delivered by e-mail, Bluetooth or WiFi. SMobile also has a spam filter, which is REALLY welcome by iPhone users like me who have no way right now of getting rid of the junk on our iPhone e-mail client. By the way, that’s the other cool thing: the SMobile software works across a really wide range smart phones and mobile phones.

Most people I talk to pooh-pooh the notion that they should be worried about security on their handheld. At the very least, encryption is a good investment as the wall between corporate and private data blurs. Every lose your BlackBerry?

Heather Clancy is a business journalist and strategic communications advisor with channel consulting company SWOT Management Group. She can be reached at

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The quality of data signifies the level of maturity an organization is at. It is not just the IT infrastructure that defines the data quality. There should be all round initiative to bring to alignment the business and IT with the intermediate balancing and alignment of processes and people. All these go hand in hand to define the data quality. The approach should be top down as well as bottoms up. No big bang initiative!

the state of BI data quality in my organization is Not so hot.
The average data quality/accuracy and consistency across IT systems has tracked @ 90-95% on average, over the last 15+ years. For yesterday, this standard may have been acceptable. Regulatory compliance mandates like Dodd-Frank and Basil III, are already pressing financials for 100%, and with ObamaCare coming online, data quality is getting attention in the Board Rooms of medical as well.

While the preferred ETL vendors (ab initio, Informatica, et al) have provided data quality and/or dictionary tools, for the most part these focus on the IT side of life and don't easily provide a business/enterprise view, including both business and IT. What's needed is central repository of sorts, mapping all terms and their associated business rules/processes for easy access to both business and IT.
What's needed is a central reference/repository/encyclopedia, which maps all business terms with IT, associating all definitions, business rules for each, "where found", etc. The major ETL players (Informatica, ab initio, COGNOS, Business Objects) have provided data data dictionary and MDM tools, but most don't map with the business, just IT. And, the costs for their solution stack has sticker shock. Finding the right enterprise MDM tool is only part of the problem. The bigger piece to solve outside of the perfect SW tool is "who owns data governance" for the enterprise......? A focused discipline needed, which doesn't easily get attention in the Board Room.

In the interim and in the interest to find that perfect SW tool - central repository/reference/encyclopedia, check out, and read about their ADS (Agile Data Suite). It's about as close to perfect as you can get and it complements any/all existing data quality/MDM tools you may have, allowing you to 'hit the ground' running.

-Dave Palmer
good Document on BI Data Quality