Retail Analytics with Incorta
Master today’s complex retail customer journey and harness your customer data in retail and CPG with our self-service operational lakehouse.
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35B+
Transactions viewable for insights
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91%
Reduction in Stockouts
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Global
View of inventory and performance dashboards
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12+
Data sources integrated and viewable in 1 platform
The Struggles of Retail Data
Data Silos: Inventory in one system, sales in another, and marketing campaigns in a third. This fragmentation hinders a holistic view of the customer journey and overall business performance.
Slow Insights: Traditional data warehousing can be time-consuming and expensive. Retailers need faster, more agile analytics to react to market trends and customer behavior.
Limited User Access: Data is often locked away in IT departments, hindering business users from accessing the insights they need to make informed decisions.
Why Incorta for Retail Analytics
Incorta’s cutting-edge technology empowers your business with:
- Real-time data insights: instantly access and analyze your data to make informed decisions on the fly.
- Simplified data integration: seamlessly connect all your ERP, eliminating data silos and bottlenecks.
- Accelerated reporting and analytics: say goodbye to time-consuming data preparation and hello to faster insights.
Choose Incorta and experience a new era of retail efficiency.
The Incorta operational lakehouse provides:
Scalability
Our smart lakehouse technology can scale horizontally and vertically, allowing organizations to easily expand their data processing capabilities as their data volumes grow.
Cost Efficiency
Move into production with unmatched speed with a cost-effective solution for storing and processing large amounts of data. Incorta can reduce infrastructure costs by proving a robust engine that is capable of connecting to your existing architecture in minutes.
Collaboration
Incorta enables collaboration and innovation by providing a shared platform for data discovery, exploration, and analysis. Our direct data mapping engine supports Python data science projects with notebooks to uncover insights within your data.
