We have released several 5.4 updates to askiaanalyse over the past few months and these versions are jam-packed with new features; most of which were added thanks client suggestions. Below is a breakdown of the most notable new features and functionality of the newest data analysis from Askia:

Find option in portfolio & tab definition

There are a number of options to search for text in the questionnaire tree but no so many for the same in your portfolios and tab definitions. We have added a Find function in these elements. Simply press Ctrl + F (or right-click > Find) in the rows, columns or edges to search. It highlights all responses or variables with the string you search for in the active section.

Find option in Analyse

This search feature will also work when viewing a portfolio’s contents.

Search in Sub-Populations & Universes

The above search functionality also extends to the Universe and Sub-Population dropdown menus in the General tab. Simply type in and it returns a list of elements matching the entered string. This is particularly useful when dealing with long lists of options.

Search sub-pops and universes

Customising Col-Sig lettering & presentation

Users sometimes want to change the Col-Sig lettering to match the initials of brands or segments in their break, for example:

  • You can specify which letters are used for the Col-Sig (instead of A-Z). Simply list the letters – or you can also put strings separated by ‘;’:

Col-Sig letters


  • You can associate some letters to Columns or Edges, just right-click the profile and select Col-Sig naming:

Col-Sig naming


You can either specify the letters like this “T;M;F” or “TMF” (e.g. Total Male Female). The first letter is always for the total. Calling this sets the property of the profile items – and you can also access them by their response properties:

Col-Sig response naming

Since you can specify the letters for Columns & Edges, they are combined for a given edge and a given column (if the edge has the letter Y for Young and the column has the letter M for Male, the corresponding column will have the letters YM).

  • Since it could be confusing to read the letters YMOMYF, you have the possibility of specifying a prefix and suffix to the letters (parenthesis for instance) which will make the result look like this (YM)(OM)(YF). This is available in the advanced options of the col-sig tests:

Col-Sig advanced properties


Sort and edit data

When you highlight one or more questions in the question tree and go to View menu > Data, you can see the raw data of the selected questions. We have now added the functionality to sort and edit the data.

  • Sorting is done on the code numbers (even if you don’t have ‘Show modalities as numbers’ ticked).
  • You can only sort one column at a time.
  • To go back to your original order, click the first column’s header.

Sorting in Analyse


  • Editing can be performed only when ‘Show modalities as numbers’ is ticked.
  • The undo button is not yet operational for data edited in the data viewer.
  • If you need to see the log of changes (before and after) it’s in the .dat folder: ManualModifications.xml.
  • You cannot edit any type of calculated questions.
  • You cannot edit any non-looped question if the level is not set to ‘Interviews’.
  • You cannot edit the data of the parent loop variable or developed questions but you can edit the aggregated, sub questions of the loop

Develop questions at run-time

Previously, if you wanted to display all the developed questions of a loop in your tables you would have to place all the developed questions in the tab definition. The problem with this is if you add new iterations to your loop (therefore creating new developed questions), you would have to ensure you manually added these to the tab definition next time you came to run it.

Now you can drag the grey, loop question in to the tab definition and tick the option ‘Develop questions at run-time’ and it will automatically develop all available questions for the loop. No more manual updating!

Develop at runtime in Analyse

The added benefit is that any formatting applied to this variable is automatically replicated across all developed questions. No more need to copy and paste presentation from the first variable to the others.

Create login system for open askiafield task

In order to make access to live field task data GDPR compliant, we have implemented a login system which is used through the File menu > Open live survey.

Open live task in Analyse


To use it, you need the CcaAPI & CcaWebAPI installed. Ensure a module is set-up in Supervisor > Extra > Modules. Ensure each user’s restriction which needs this access has the module selected in Restrictions > Properties > Modules > Management.

The restriction will also need:

  • Allow direct access to survey/list data
  • ‘View’ permissions on the survey
  • ‘View interview data’ permission on the survey

Review the Cca settings to figure out how to set up your link to use for CcaWebAPI if you don’t already know it. An example below of the sort of adapting needed.

Now log in with the agent credentials which is using the updated restrictions. Select your survey from the drop-down box. After clicking OK you will see the Analyse session as normal accessing the current field task data.

The correct link should open up a help page as follows: this feature ensures Askia Analyse is GDPR ready because it reads encrypted SQL data on-the-fly as well as having a secure and encrypted connection to the database.

Serialised version of QEW & XML files for Analyse objects

There is now an option in Askia Analyse to ‘Generate fast metadata files’:

Serialized QEW and XML in Analyse

This feature was initially introduced for large Surf set-ups (.qew) but can also be used to optimise .qes files as well now in terms of speed of processing.

When you use this option the following happens:

For Surf set-ups, each .qes file has an accompanying -meta.qex created; the .qew has an accompanying -meta.qewx created and a .qew-meta.dat folder is also created in same directory.

For .qes files, a -meta.qex file is created and a regular .dat file is created if it doesn’t already exist.

For these types of Askia files, Analyse saves the sub-populations, calculated questions, grouped responses/values, weightings, tab-templates and profiles in the .qew-meta.dat (or.dat) directory as XML files. Whenever a write is done, the whole file is re-read to minimise the chances of multi user collisions.

This is an improvement of the functionality we had before where Fast Metadata (FMD) files could only be produced for the .qes files within a Surf set-up and not the .qew nor a stand alone .qes file as we have since This complete removal of the reliance on ADO drivers in the data files means a significant improvement in speed of data processing in Analyse or Vista.

Check the full list of new features for more information on the above or to see what else has been added to our data analysis suite!

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1 Comment

  • Raj
    Posted 19th November 2018 at 9:21 AM 0Likes

    Wow…the tool looks promising. I run a MR company. Can anyone explain me in brief on call. would be much appreciated.

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