Datalicious service overview

Datalicious offers a wide range of data services from platform development, integration and management over dashboard development, ongoing reporting and data mining to targeting, merchandising and marketing automation. 

Services

Below are some examples of our work but please feel free to call or email us anytime with questions on 1300 209 601 or insights@datalicious.com, we're always happy to help.

Data services

Insights services

Action services

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Impress with insights not spreadsheets: New dates for ADMA Analyse to Optimise course by Datalicious

Adma
Do you think your data could work a little harder for you? Are you sometimes wondering what it all means?

Well, we're proud to annonce the new Sydney and Melbourne dates for our ADMA course, Analyse To Optimise, that launched last year. The course is designed to enable you to turn data into actionable insights that will actually have an impact on your company's bottom line so visit the ADMA website and check out the course outline if that sounds interesting.

During the two day cours you will learn how to define a metrics framework and find or develop the right data to be able to bring your metrics to life as well as extract some actionable insights from it. We will examine a multi-channel campaign flow and how it can be turned into a media attribution model to help drive media effectiveness as well as techniques to increase conversions to improve overall return on advertising spend. 

Apart from cutting edge theory, the course also includes plenty of hands on exercises that will enable you to impress your clients and managers with real insights and not just spreadsheets.

Sydney: TBC
Melbourne: TBC

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Analyse to optimise: New ADMA short course in Sydney and Melbourne run by Datalicious

Screen_shot_2010-09-24_at_6

Update: Sydney course nearly booked out, a few more spots available in Melbourne.

Do you think your data could work a little harder for you? Are you sometimes wondering what it all means?

Well, we're proud to annonce the launch of our new ADMA course, Analyse To Optimise: Measurement & ROI, designed to enable you to turn data into actionable insights that will actually have an impact on your company's bottom line.

During the two day cours you will learn how to define a metrics framework and find or develop the right data to be able to bring your metrics to life as well as extract some actionable insights from it. We will examine a multi-channel campaign flow and how it can be turned into a media attribution model to help drive media effectiveness as well as techniques to increase conversions to improve overall return on advertising spend. 

Apart from cutting edge theory we also included plenty of hands on exercises throughout the course that will enable you, upon successful completion of the course, to impress your clients and managers with real insights and not just spreadsheets.

Sydney
When: 5th & 6th of October 2010, 8:30am-5:00pm
Where: Cliftons, 190 George Street 

Melbourne
When: 9th & 10th of November 2010, 8:30am-5:00pm
Where: Cliftons, 440 Collins Street

For more information on the course and to book please visit the course page on the official ADMA website or email education@adma.com.au.

(download)

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Digit-Tech analytics workshop: How to turn data into actionable insights (tech, processes, examples, etc)

Below are the slides from today's Digit-Tech analytics workshop on how to turn data into actionable insights.

The 3 hour session covered a wide range of data and analytics topics from technologies used to gather data over processes to generate insights to examples of how to tak action and involved several interactive exercises.

Click here to download:
201006_Digi-Tech_Analytics_Workshop_V1.pdf (11.36 MB)
(download)

What do you think? Anything you like or dislike in particular? We're always keen on feedback so please let us know your thoughts and leave a comment below, especially if you were a participant of the workshop.

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Diagram: Integrated campaign flow and simplified metrics framework across multiple channels

How many times have you talked about a truly integrated campaign but lacked a diagram and metrics framework to properly explain and measure the interaction between channels? We recently designed the below campaign flow and simplified metrics framework for one of our clients to explain the interaction between the various different paid and organic channels, websites, social networks, retail outlets and CRM. 
 
Unfortunately we can't share the actual campaign results but the impact was amazing. The traffic levels increased significantly during the campaign and for the first time rivalled historic peaks from previous Christmas periods mid year. However, the integration of the analytics framework into the campaign planning process from the very beginning ensured that tracking best practice was followed and a maximum amount of data could be collected across all channels. Best of all, if the below framework is used across all campaigns they start to become comparable and a benchmark emerges but that requires a lot fo discipline on all sides.
 
But let me explain a little more about our thinking behind the metrics framework. First of all, we renamed the 'awareness' stage to 'reach' because those metrics are a lot less debatable for all channels (i.e. we know how many people search for something or were exposed to a banner but not really how many people actually become aware of a message). As metrics on 'interest' and 'desire' are actually hard to differentiate in the standard AIDA(S) formula we combined them into a single 'engagement' category (i.e. everything after a non-bounce and before an actual conversion). The 'action' metrics category stayed the same, it simply contains all the conversion data on actions we wanted people to take but doesn't have to be limited to sales of course. Finally, 'loyalty' is a hard one to measure at the best of times and pretty fluid so we renamed that stage to '+buzz' which stands for positive buzz or people talking about the company in favourable terms which is of course far from being loyal but we would argue it's easier to measure and one would be pretty hard to achieve without the other.
 
Anyway, what do you think? Please feel free to comment and help us to improve the model and maybe even share some actual metrics you measure at the different stages.

(download)

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