How automated machine learning with DataRobot has already impacted organisations globally.


Predictive modeling is the key to boosting revenue and staying competitive. Regulatory scrutiny, the shortage of business-savvy data scientists, and the long development time for these models make this challenging and a perfect case study. 

DataRobot’s Automated Machine Learning platform empowers existing business teams to solve analytic problems rapidly. From prospecting new corporate customers to more nimble model risk management, the banks that leverage automated machine learning will be the ones that survive the Fintech invasion. 


The future of healthcare is data-driven, and automated machine learning is key to enabling the artificial intelligence (AI)-driven healthcare organisation. Unfortunately, many healthcare providers and payers are struggling to effectively utilise machine learning. 

Many providers simply don’t have the skills, tools or time to deploy conventional machine learning solutions. DataRobot allows scale and growth without the roadblock of Data Science resource and with it, AI is even more accessible everyday.


A large American Internet Bank reduced churn by discovering patterns in historical customer activity.  Through modern machine learning algorithms they are able to accurately predict which of their customers are most likely to defect to competitors, which enables the retention team to focus their resources. Identifying these customers most at risk means the bank is able to offer incentives at critical times to increase loyalty.

By retaining more customers, your business grows faster, increasing profits and building brand value.


Using DataRobot, you can automatically build extremely accurate predictive models to identify and prioritise likely fraudulent activity. Fraud units can then create a data-based queue, investigating only those incidents likely to require it. The resulting benefits are two-fold: 

1. Resources are deployed where they see the greatest return on investigative investment.

2. Customer satisfaction is optimised by protecting their accounts and not challenging innocent transactions.

Alteryx provides rapid data manipulation and blending for faster insights

Alteryx helped drive over 2000 annual hours of productivity and enabled over 250 users to migrate to Tableau based self- service analytics so consumers are now better prepared for weekly Revenue outlook meetings. They have access to the data almost real-time versus waiting for Finance to prepare reports for the weekly forecast meetings. 

The new analytics developed in Tableau are now being referenced live in weekly meetings with business Presidents. 

alteryx in marketing

An industry-leading marketing agency in integrated real-time customer engagement activates big data through advanced analytics, advertising technology, programmatic media and personalised customer experiences. This company leverages superior marketing intelligence via Alteryx and is consequently able to build deeper, more effective relationships with consumers and the retail channel partners that engage them on the local level.

Marketing intelligence is infused across all disciplines and executed through digital, direct, social, mobile, media and creative execution, marketing automation, co-op and trade promotion.

Global commercial transportation, logistics, and supply chain management companies use Alteryx with Salesforce data in order to quickly uncover marketing insights for management.  

As a result of automating data-preparation, this automotive organisation mitigated errors and dramatically reduced processing time.