It’s easy to get lost in the amount of data accumulating from endless sources. Customer buying behavior, digital and in-store transactions, sales by stores, terminals or product types; the sale of gift cards; never-ending returns and on and on all provide valuable information that demands analysis.
Jesta uses Cube Analytics to gather data, transform it and then load it into purpose-built cubes for a 360-degree view of customers, their behavior and the business itself. The data is packaged in three dimensions, each reflecting the results of different calculations based on user-defined criteria such as demographics, shopping behavior and more. The process is extremely fast even when sifting through years-old data. In the end, it allows for the prediction of future trends in consumer behavior or business opportunities.
Jesta’s Actionable Analytics leverages the power of Cube Analytics to identify patterns. It gives you visibility on deep metrics to help you determine the purchase patterns of individual stores and also a business’s overall performance. This enables users to proactively take actions on predicted opportunities and/or challenges, before opportunities are lost and challenges become issues. A spectrum of actions can be performed such as quick reordering, the stocking up of inventory based on signals of demand spikes, the implementation of promotions based on seasonal inventory surplus predictions, and more.
Info is synced among integrated systems so actions like price markdowns can be easily enacted without the risk of human error.
Your areas of success (and/or concern) can be quickly and efficiently assessed without having to sift through mountains of data.
Important answers that are crucial to you and your business are achieved quickly by leveraging predefined actions or predefining your own.
Specific analytical KPIs can be incorporated according to your evaluation needs for more intelligent purchases and less obsolete inventory.
You can rest assured that you’re always prepared for future events related to ever-evolving consumer behavior or business opportunities.
Agglomerate products into a list and send to downstream systems for further tracking or action.
Segment your customers into groups according to shared attributes and, if desired, reward those segments with coupons and/or promotions.
No need to worry about complex data model or SQL joins. A predefined semantic layer allows you to drag and drop elements you wish to analyze by simply selecting the preferred visualizations.
Leverage predefined actions or define your own by using either enterprise java beans, calling existing third-party web services or integrating with any custom integration point.