| client:PM-ZO |
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Our work with PublicisMojo-ZenithOptimedia (PM-ZO)
One of the world’s largest advertising, marketing and media companies, they’re .. pty ltd have been assisting PM-ZO since June 2006 with data analysis, modelling and statistical interpretation of advertising data for some of their clients. This range of clients includes many of Australia’s most well known and recognized brands. By adding more science and predictive analytics to the results of marketing campaigns, PM-ZO have been able to fine tune and enhance their contributions to their clients to ensure target markets are reached more efficiently.
they're ... pty ltd have a wide experience converting difficult science into meaningful and understandable results. The core driver behind starting our business was to help deliver facts to decision makers that would support their projects as well as to drive businesses using primarily qualitative information.
Fundamental to this is the fact that data and data collection systems cost money. It is therefore imperative and conducive to good business to use that data fully and effectively. Often too, many tasks may be considered too hard, technical or overwhelming. At they're ... pty ltd, we enjoy the “hard” problems and have a passion for converting difficult concepts into useful facts. In particular, we thrive on the process of data exploration, discovery and THEN delivering the results.
As part of this, we follow the standard data mining process model that is shown below, where the action of modeling and evaluation constantly feeds back into a better and more refined business understanding. With this information, a correspondingly more detailed data and modelling exercise can be undertaken. This continual refinement and understanding has helped cut costs and direct marketing budgets in the right direction to achieve consistent and measurable results.
In Summary
Data and systems are valuable, it is imperative to extract as much information from them as possible. Information can often be initially hidden (but is able to be uncovered) Consider:
- The right data
- With the right tools
- To reach the right conclusions
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