Business Intelligence for
Revenue Growth Management
- Automate Category Management insight generation.
- Harness your Field Sales team as a source of live data.
- Execute winning pricing & promotion strategies.
Business Intelligence for
for Consumer Goods Advise is our own ground-breaking automated data analytics solution for the Consumer Goods sector. Advise automatically extracts insights from data and is helping companies get the most from their data. Improving efficiencies and effectiveness with a data-driven edge over their competitors.
Advise automatically ingests and aggregates all of your available data sources into our proprietary One View unified data model.
One place to rule them all.
Understand the analysis of your data with a wide range of powerful dashboards that use the latest in data visualization, statistical and AI technologies.
Benefit from a 75% reduction in data wrangling time. Save that wasted time to drive efficiencies and business action.
Dashboards and optimizations are automated and dynamically generated. Everyone can easily access and interact with the insights.
Customised and configured for your specific inputs and output needs - we are your data science team. Advise is your tailored solution. Your data driven future is here.
Clients & Partners
Advise is the trusted data partner for many of the most loved and well-known brands.
Lots of companies say they are data driven, but that is not true. A Data Driven organisation is one where everyone in the business can access and manipulate the data to make timely, efficient decisions relevant to their area and to the business as a whole; where everyone is working off the "Advise Platform- One version of the truth".
Green Isle Foods have partnered with RecommenderX to enhance their digital customer insights journey. Our objective is to easily convert our customer data more efficiently into actionable insights to drive profitable sales.
The old adage of ‘information rich, insight poor’ has never been more appropriate. We need to be able to optimize our data analysis processes as we build. To do more with less we have to wire in some extra analytics horsepower and I’m excited to see what we can achieve with Advise.
Next steps