Deliver Your Direct Mail Campaign With Impact by Using Variable Data Printing

Variable Data Printing (VDP) by means of definition, is a form of on-call for printing that attracts records from a particular database, to personalize text and photographs from one printed piece to the following, without preventing or slowing down the printing method.

Sounds like a mouthful, but actually a easy concept whilst it comes down to it.

VDP isn’t always a new concept. It has been round for just over a decade but growing in popularity as marketers search for approaches to supply their junk mail campaigns with most effect.

With VDP, entrepreneurs are able to customize their Latest mailings database in lots of distinctive ways. The maximum easy and famous shape is personalizing the salutation (i.E. Dear Mary). As era advances, alternatives are evolving and the capability to customize will become even greater complex. Now you could….
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• Assign unique promotional codes to sure businesses
• Personalize offers to a selected demographic
• Apply personalised URLs (purls)
• Customize your message primarily based upon past purchases and prediction of destiny needs
• Personalize snap shots (i.E. “Mary” written in an photograph of clouds, a sandy seashore, a constructing, a avenue signal, etc.)

Really, the options have grow to be infinite.

The cutting-edge fashion in variable facts printing today is a method called Door-to-Door Mapping. The call can’t do it better justice; door-to-door mapping provides instructions from the “front door” of the receiver to a destination distinctive by using the sender.

With both B-to-B and B-to-C opportunities, door-to-door mapping offers the closing in ease of response in direct mail campaigns. As the sender, you aren’t simplest handing over a excessive impact message, but now you are making it that a great deal easier for the target audience to reply in your provide by way of giving them directions for your occasion. An ideal application for door-to-door mapping is an occasion invitation.

Here are a few industries in order to gain by the use of door-to-door mapping, and examples of uses:

• Healthcare…..New affected person recruiting by means of a new pressing care center
• Real Estate…..Open residence invite
• Education…..Freshman elegance orientation or alumni event
• Manufacturing…..New product demonstration or manufacturing unit excursion
• Financial/Banking…..Invitation to an estate planning seminar
• Casino…..Entice out of state “excessive rollers”
• Ad organizations…..Invitation to “dealer day” occasion
• Restaurant…..New place announcement and coupon provide
• Non Profit Agencies…..Invitation to fund elevating gala

While door-to-door mapping can produce splendid reaction charges, being a tremendously unique and personal shape of variable facts printing, the important thing to attaining success lies inside the agency’s capability to devise in advance. Segmenting your database and maintaining contemporary records will can help you re-marketplace your data for greater effect. Although time eating, it’s far well really worth it ultimately.

In a era pushed by technological advances, alternatives for junk mail will best keep growing and trade, just as we have visible with the beginning of door-to-door mapping. The strengths and blessings of utilising VDP in direct mail campaigns are enormous but the backside line that marketers need to recall is: the higher the impact, the greater the reaction.

Nandgame–I am not sure I understand the Data Flip-Flop specifications

Nandgame ( has you solve puzzles of increasing complexity which culminate in constructing a simple CPU. You start at the level of nand gates, and build everything else up out of those.

I’m having trouble understanding the specifications for the Data Flip-Flop puzzle. If I’m reading it correctly, when the “clock” bit changes from zero to one, the storage device should send its value to output, but while the “clock” bit remains either one or zero, nothing should change the output value.

What I’m stuck on is this idea of having output change when and only when the clock changes from zero to one I can’t see a way to do that which doesn’t allow the output to change any time the clock bit is equal to one (or trivially, equal to zero if I thrown an inverter on it fsr). But that results in a failure when I submit such solutions.

Could I just be reading the specifications incorrectly somehow?

Here is a transcription of the specification:

A DFF (Data Flip-Flop) component stores and outputs a bit, but only change the output when the clock signal change from 0 to 1.

When st (store) is 1 and cl (clock signal) is 0 the value on d is stored. But the previous value is still emitted.

When the clock signal changes to 1, the flip-flop starts emitting the new value.

When st is 0, the value of d does not have any effect.

When cl is 1, the value of st and d does not have any effect.

How best to display multiple data points in a single row in a list view?

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Hey! I’m designing a list that needs to accommodate multiple data points in a single row under a single category, and I’m wondering if there are any UI patterns that are best suited for this need.

I’ve seen lists that have rows with one long chunk of text (like a paragraph), but it still represents one discrete chunk of data – whereas what I’m designing will represent many separate data points (ex. Protocol 1, Protocol 2, etc.)

The user basically needs to quickly and efficiently identify which Protocols are associated with their corresponding Rules. I’ve thought about an expanding row interaction, as well as a modal, but both seem kinda click-intensive.

Any thoughts? Thanks for taking a look, eager to hear your feedback!

Using Temp Tables in Azure Data Studio Notebooks

tl;dr I want to use temp tables across multiple cells in a Jupyter Notebook to save CPU time on our SQL Server instances.

I’m trying to modernize a bunch of the monitoring queries that I run daily as a DBA. We use a real monitoring tool for almost all of our server level stuff, but we’re a small shop, so monitoring the actual application logs falls on the DBA team as well (we’re trying to fix that). Currently we just have a pile of mostly undocumented stored procedures we run every morning, but I want something a little less arcane, so I am looking into Jupyter Notebooks in Azure SQL Data Studio.

One of our standard practices is take all of the logs from the past day and drop them into a temp table, filtering out all of the noise. After that we run a dozen or so aggregate queries on the filtered temp table to produce meaningful results. I want to do something like this:

Cell 1

Markdown description of the loading process, with details on available variables 

Cell 2

T SQL statements to populate temp table(s) 

Cell 3

Markdown description of next aggregate 

Cell 4

T SQL to produce aggregate 

The problem is that, it seems, each cell is run in an independent session, so the temp tables from cell 2 are all gone by the time I run any later cells (even if I use the “Run cells” button to run everything in order).

I could simply create staging tables in the user database and write my filtered logs there, but eventually I’d like to be able to pass off the notebooks to the dev teams and have them run the monitoring queries themselves. We don’t give write access on any prod reporting replicas, and it would not be feasible to create a separate schema which devs can write to (for several reasons, not the least of which being that I am nowhere near qualified to recreate tempdb in a user database).

Does Avada theme, Fusion Builder or Toolset plugin store some data remotely?

I have a new task to try to speed up one WordPress site. In order to do so, I copied the existing site to my company’s dev server. The problem is pages do not look quite the same. The code and DB are totally the same. After search I found that some theme settings and some fusion and toolset settings are not the same on prod and dev server. For example header width, fonts, custom.css is empty on dev (one that belongs to theme and can be edited from backend), etc…

What can that be? Do some of these components store data remotely and because of diff domain, I can not get that or I miss something else?

How to check rapidly if an element is present in a large set of data

I am trying to harvest scientific publications data from different online sources like Core, PMC, arXiv etc. From these sources I keep the metadata of the articles (title, authors, abstract etc.) and the fulltext (only from the sources that provide it).

However, I dont want to harvest the same article’s data from different sources. That is, I want to create a mechanism that will tell if an article that I am trying to harvest is present in the dataset of the articles that I already harvested.

The first thing I’ve tried was to see if the article (which I want to harvest) has a DOI and search in the collection of metadatas (that I already harvested) for that that DOI. If it is found there then this article was already harvested. This approach, though, is very time expensive given that I should do a serial search in a collection of ~10 millions articles metadata (in XML format) and the time would increase much more for the articles that don’t have a DOI and I will have to compare other metadatas (like title, authors and date of publication).

def core_pmc_sim(core_article):     if core_article.doi is not None:      #if the core article has a doi         for xml_file in listdir('path_of_the_metadata_files'):  #parse all PMC xml metadata files             for event, elem in ET.iterparse('path_of_the_metadata_files'+xml_file): #iterate through every tag in the xml                 if (elem.tag == 'hasDOI'):                     print(xml_file, elem.text, core_article.doi)                     if elem.text == core_article.doi:  # if PMC doi is equal to the core doi then the articles are the same                         return True                 elem.clear()     return False 

What is the most rapid and memory-efficient way to achieve this?

(Whould a bloom filter be a good approach for this problem?)