At Consumer Reports, we have always believed that scientific testing is the best way to evaluate products. We also use a statistically-valid survey methodology to measure consumer experiences. In preparing our September security reports, we employed both methods as we have for many decades. Some additional notes on this column:

• The story was not, as you state, "filled with data sourced to eMarketer." That service provided just two pieces of data, namely the current number of Internet- and broadband-using U.S. Households
• Using a separate credit card for online transactions avoids having to cancel your main card should fraud occur.
• We test software against modified versions of actual malware because such threats are what security software will often be called upon to recognize on the job.

Finally, a note about your claim that Consumer Reports was invited to respond. Your e-mail to us requesting a comment was time-stamped on the same Saturday evening as your column is labeled as having posted. That left fewer than six hours to respond, on a weekend. It would have been helpful to have had more time.

A good place to being to look for clues to an answer is Wikipedia, where the opinion of the author there is,

 ”A simple and practical definition, however, would be how an entity (i.e., business) arrives at an optimal or realistic decision based on existing data.”

Quoting the Wikipedia author(s) further,

“Common applications of Analytics include the study of business data using statistical analysis in order to discover and understand historical patterns with an eye to predicting and improving business performance in the future. Also, some people use the term to denote the use of mathematics in business. Others hold that field of analytics include the use of Operations Research, Statistics and Probability. However, it would be erroneous to limit the field of analytics to only statistics and mathematics.”

The Wikipedia author(s) continue their discussion of analytics, as follows;

“Analytics closely resembles statistical analysis and data mining, but tends to be based on modeling involving extensive computation. Some fields within the area of analytics are enterprise decision management, marketing analytics, predictive science, strategy science, credit risk analysis and fraud analytics.”

All of these topics above are CEP-related areas involving complex events and situations based on the need for optimal and reliable real-time capabilities to make meaningful (business) decisions. 

Simple pattern matching, event mediation and routing, and basic mathematical calculations do not really fall into the realm of complex event processing.  Instead, CEP is real-time decision support based on modeling and “extensive” computation.  In a nutshell, complex events and situations require analytical models that are non-trivial and that is why without analytics, there is no true “complex event processing.”

See also:

WIkipedia on Predictive Analytics

You can not process complex events in some very simple way and expect to get accurate results.  You need knowledge, represented by one or more situational models, to process complex events.

Some folks, like to say that a “complex event” is simply an event which is an aggregation of two more more event objects.    If you follow this (flawed) logic, then counting integers is complex event processing; because 1 plus 1 is 2, and 2 is an aggregation of 1 and 1, so 2 is a complex event (not!).  

Since we know that counting is not a complex processing operation, then some folks would say that you can process complex events with very simple operations because you are processing complex events , in the case adding 1 to the previous number (counting), enriching an event object.

This is simply nonsense.

The logic flaw is that the basic definition of a “complex event” (used by many people) is wrong.   A complex event is not simply an event object with two more more events as sub-components. 

A complex event is when two event objects are combined (processed) to form a complex object with a higher degree of inference, or situational knowledge.   One plus one equals more than two in complex event processing, because the combination of event objects requires knowledge (e.g. a situational model).

A Complex Event = Sum (EventsObjects) + Situational Knowledge

Let there be no mistake about it.    Complex event processing is the complex processing of complex events.   You cannot accurately process complex events with simple event processing models.

The simple processing of complex events is not CEP, it is simple event processing (event track-and-trace, simple event object enrichment, simple event object aggregation, and so forth).
 

Bind("AmountCharged", "{0:C}")

While this displays just as you'd expect (e.g., $200), it doesn't do so well when you submit an edit that includes the same value ($200):

Input string was not in a correct format.

I searched around and didn't find much in the way of a clean solution, but I did solve the problem with just a few lines of code. The trick is to handle the data-bound control's Updating event. Since I was working with a GridView, my solution looked a bit like this:

<asp:GridView DataSourceID='myDataSource'
              OnRowUpdating='FixFormatting'
              AutoGenerateColumns='false'
              CellPadding="3" ...>

Notice the OnRowUpdating handler that I've installed in my grid view. That code looks like this:

protected void FixFormatting(object sender, GridViewUpdateEventArgs args)
{
    decimal amountPaid = ParseDecimal((string)args.NewValues["AmountPaid"]);
    args.NewValues["AmountPaid"] = amountPaid;
}

When you handle this event, you're given a dictionary of old and new values, which appear to come directly from the controls (in my case, a TextBox was used to gather the updated data AmountPaid, so the type of object that I found in NewValues["AmountPaid"] was a string. I wrote a little helper method called ParseDecimal that parses a string into a decimal value, allowing currency characters, decimal points, and thousands separators. I also allowed a blank value to indicate zero:

public static decimal ParseDecimal(string value)
{
    if (string.IsNullOrEmpty(value))
        return 0;
    return Decimal.Parse(value,
        NumberStyles.AllowThousands |
        NumberStyles.AllowDecimalPoint |
        NumberStyles.AllowCurrencySymbol,
        CultureInfo.InstalledUICulture);
}

This solved the problem quite nicely. Now two-way binding works with formatted data.

For example, Reconnex that was recently absorbed by McAfee, touts "information protection" before compliance. Similarly, my friends from nexTier only mention "compliance" on a few pages. Even newly unveiled DLP resource  (DLP In-Depth portal) only contains a little bit  of information on how DLP solutions help with various compliance projects. People tout "data protection", " data security", "data governance" (aka "we know big words - bigger than you") or even "data risk management" (aka "we are confused about what we sell")

I decide to explore this curious phenomenon.

Initially, I thought that it was reverse compliance at work? People not wanting to know what content packs up and leaves their network. Then I thought that maybe DLP vendors just aren't "the bandwagon jumping kind" (yeah, right!) Then I thought that they are "beyond compliance" already :-)

But you know what? I actually think that it is something different, much more sinister. It is the ominous checklist mentality (here too)!  You know, DLP is newer than  most regulations (PCI DSS, HIPAA, FISMA, etc) and - what a shock! - the documentation for these mandates just doesn't mention DLP (or CMF) by name. Sure, they talk about data protection (e.g. PCI DSS Requirements 3 and 4), but mostly in terms of encryption, access control, logging (of course!).

Also, PCI DSS directly and explicitly says "get a firewall", "deploy log management", "get scanned", "install and update AV" - but where is DLP? Ain't there...

Yes, Virginia, folks who "go by the book" and just "do the minimum" are missing out on the chance to procure DLP while their compliance budgets are still flowing. To me that means that many still don't get the "compliance+" model - buy for compliance -> use for security, operations, having fun, etc. Think what a good DLP solution  will do for you in discovering regulated data across the entire organization, blocking those pesky email with SSNs, PHI (hi, HIPAA) and CCs (hi, PCI) as well as solving plenty of other problems ...