Enhencer Predictive Visual Storyteller is a self-service visual data analytics for business users to derive actionable insight from their data in a few clicks and with no data science expertise and coding. Enhancer's visual dashboard is easy to use with clicks while best ready-made machine learning algorithms are run in the background in each click.
Enhencer offers segmentation using ready-made machine learning algorithms. Enhencer explores and provides best segments for your target objective no matter the complexity of the data. Enhencer offers instant actionable insights. Users can simply upload their data to Enhencer and within a few clicks and minutes can perform data analysis which requires days to do with traditional data analytics tools.
Example
Suppose that you have integrated your CRM to Enhencer. You want to analyze the customer churn & retention. Suppose that you have a field in your data named customer status which can be "lost" or "existing". Suppose that for a selected group of customers, 48% are lost.
Your CRM holds customer data with many information like age, gender, income, how long / frequent customer uses a service, customer source, customer location, etc. By segmentation, you can find out what segments of customers are retained most and what segments of customers are lost most.
With dozens or even hundreds of properties in your data, it is difficult to intuitively segment the customers. You don't know which categories are significant in customer retention and which are not. Is age a factor? Customer source? Gender?
Below video shows the segments generated by Enhencer. You simply select the value (here customer loyalty) to analyze and Enhencer automatically segments them. Top segments mean which categories of customers are most loyal and bottom segments show the least loyal ones. In the example below, first segment is 110% gain on average which means they are more than twice loyal compared to average loyalty. This segment is :
Salary Amount > 10,397
Age > 29
Gender = Male
Nationality = Japan or UK
The least loyal ones are :
Salary <4,031.
Customer Class = Silver
Nationality = US, Japan, France, UK and Italy.
Locating these significant customer properties among dozens and even hundreds of categories you have in your CRM is difficult if you do not have data analytics. With this info data analytics provides, you can have an action plan (i.e. target high income bucket more or investigate why Silver customers in certain countries are least loyal).
You can also perform predictive analytics in Enhencer on fly. For example, you can select several properties of customers (age range, gender, location, class, nationality, etc ...) and ask Enhencer to predict the probability of this customer to stay loyal to your company.
The platform is available on cloud by monthly subscription or if required can be installed in-house. You can request a demo here.
