Janus Analytics provides a range of bespoke customer analytics solutions that allow you to implement sophisticated marketing science that improves customer relationships.
The analytics strategy maps out the process that the business should take to achieve their business intelligence goals.
Janus Analytics adopts the industry standard practice for analytics development, known as the Cross-Industry Process for Data Mining (CRISP-DM). This process provides a framework to solving problems unique to each of our clients. Our analytics strategy aims to answer the following questions
In addition to this methodology, Janus Analytics overlays industry experience and domain expertise to the analytics development that is specific to the industry in which each client operates.
Predictive models allow the marketing department to focus efforts on marketing to customers most likely to complete a certain action. Supervised machine learning techniques are utilised to predict key outcomes.
People Problems not Data Problems - For all of the promise of machine learning and big data, machines still lack empathy. Attempting to solve people problems with an analytics solution is fraught with danger. We ensure our models have a strong overlay of practical business operation considerations and common sense!
Want to know who to talk to first and how? - Predictive modelling essentially provides you with lead scoring for all your customer for cross sell amenability to various offers, relationship escalation, defection risk, CLV and goal outcome achievement. After selecting your best leads (or most in need), the segmentation model then overlays across this to provide you with actionable intelligence on how best to approach , frame and communicate with them one a one to one basis.
The Training Set is Key - Many issues have come from improper use of machine learning or predictive analytics. These errors have been caused by biased training sets (i.e. junk in, junk out). Designing an unbiased training set is vital in any analytics solution. Our experience ensures you avoid the pitfalls.
Database Implementation - Through finding correlations between regularly collected variables and psychographic information collected through primary research, Janus Analytics is able to implement the segmentation system on to the client database. We use multiple data sources in our modelling to ensure a complete picture of your clients, using both primary research, database variables and secondary data to truly paint a picture of your entire client base.
Database Enhancement is an optional add on to our analytics solution, Janus. Usually Database Enhancement is employed after data collection issues have been identified from systems analysis. Database Enhancement uses a range of techniques in order to quickly fill the gaps in a database, as well as implement new collection techniques moving forward. We work with your Information systems team to collect the required data as necessary.
Most businesses have the means of collecting the data they need. We get your data to the right people in order to make better business decisions.
Our propriety database, 'Athena', contains more than 100 million data points on more than 100 thousand Australians. We can utilise our data to contextualise your data.
Sometimes you need data that someone else has. Janus has a number of third party data partners that can help get the data you need.
Our team utilises advanged data collection techniques to identify the digital footprint of individuals on the web and find data points about your customers.