Sales performance & growth drivers
Compare customer groups, products, channels and periods to understand where growth comes from and which changes need a closer investigation.
Connect the storefront to the business behind it.
Discover what brings customers to you, what helps them buy and what makes them return.
Connect catalogue, orders, product availability and customer history to understand online demand. Where tracking and source coverage permit, extend the investigation to conversion steps, abandoned baskets, acquisition channels and campaign contribution. Explore complementary purchases, repeat-order timing and price position. Review attribution limits and data freshness before treating an apparent opportunity as a proven result.
Capabilities
Find the value hiding in your data.
Product demand & availability
Explore slow-moving stock, demand variability, missed availability and replenishment patterns alongside sales and customer context.
Basket patterns & cross-selling
Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.
Customer 360 & cohorts
Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.
Connected sources & data quality
Bring spreadsheets, databases and business applications into a defined analytical model. Review completeness, freshness and consistency before drawing conclusions.
Questions worth asking
01
At which step do interested visitors leave before purchasing?
↗02
Which product combinations and customer groups create repeat business?
↗03
Which channels attract customers who remain valuable over time?
↗Continue exploring
Every part of your business has a story to tell.
Turn your data into business knowledge.
Your business already holds valuable answers. Bring its data together and discover what you could measure, understand and improve.
Explore in detail →Understand the work behind the results.
Discover how your teams work, where capacity is stretched and which skills your next projects will need.
Explore in detail →See project risk before it becomes a surprise.
Connect time, cost, delivery and customer context to understand what is really moving a project forward.
Explore in detail →NEOBIQ / NEXT
What is your data trying to tell you?
A hidden opportunity. A recurring cost. A change in customer behaviour. Invest in your data and turn the question that matters into an investigation you can act on.
Discuss your project ↗Email opens in your mail application. No message is sent automatically.NEOBIQ
Before we begin
How do we turn data into business value?+
Start with a decision you want to improve. We map the relevant data, define a measurable indicator, establish a baseline and test an initial analysis. The first useful insight becomes the foundation for the next step.
Can we explore data we do not analyse today?+
Yes. People, project, customer and product data can become new analytical use cases through the appropriate integrations and models. We agree the scope and validate the results with the people who understand the business.