Transform your POS data into actionable insights

How do my products sell in various sales channels?

Which product categories should I focus on in which sales channels?

Should I budget more for in-store promotions and sales support – and moreover – where?

Your Point-of-Sales data hides answers to these everyday questions – and is capable of guiding you in your sales management decisions.

Make smart easy. Create value through automation of POS analytics and enjoy the results of data-driven decisions.

How POS analytics works 

1. Data synchronization
Setting the foundations for analytics. We synchronize your data sources together to form a unified data base. All Point-of-Sale data is synchronized and historical data stored for further analytics. Data can be enriched with internal or external data sources, such as product data, statistics, your marketing and promotions data, customer behavior data like web and social media, locations data, weather and so forth.

This is all done by Houston Analytics’ experts so don’t have start learning analytics.

2. Applying synchronized data models for reporting and analytics
Structures and logic between POS data is implemented, making it ready for advanced modelling and visualization.

3. Reporting in your preferred BI tool
Automating the synchronized data feed and insights from pre-built dashboards to your preferred BI tools, data science solutions and end-user systems across your organization serving your analytics needs.

Frequently asked questions

What data is required for POS analytics?

POS data from sales channels is the bare minimum. For practical purposes sales reports in CSV format that you get from for example Kesko or S Group in Finland.

Do I have to have analysts or data scientists in my team?

Nope. POS analytics is delivered as a service. Houston Analytics experts will do the heavy lifting and get you started. 

Should you need more advanced analytics, forecasting, or optimization, Houston's experts can help you with that as well.