Connect BigCommerce and QlikView

Connecting BigCommerce and QlikView for a company could enable the transfer of sales, customer, and product data from the e-commerce platform into the business intelligence tool. This would support detailed reporting and analysis, helping decision makers monitor performance, identify trends, and make data-driven decisions based on up-to-date information from both systems.

You can build this integration on the System2System platform. We design the connection between BigCommerce and QlikView around the way you work — not as an off-the-shelf connector, but to fit your systems.

Contact us

Why connect BigCommerce and QlikView?

A company operating both BigCommerce and QlikView could benefit from connecting these systems so that data flows efficiently between their e-commerce platform and their business intelligence environment. The main reason for pursuing such a connection would be to ensure that sales, customer, and product data from BigCommerce could be analyzed and visualized in QlikView without manual intervention. Without this connection, staff might have to repeatedly export and import data between the two systems, leading to duplicate data entry, increased risk of errors, and wasted time. Over time, records in each system could drift apart, with information in one system becoming outdated or inconsistent compared to the other, which could result in business decisions being made on incomplete or stale data. In practice, companies could want to exchange data such as order transactions, customer details, product inventories, and sales performance metrics. QlikView, being a business intelligence tool, could then use this data to create reports and dashboards that inform management decisions. However, the exact data that can be exchanged depends on the capabilities and data structures each system exposes through its API, and this must be determined individually for each implementation.

How System2System builds an integration

Connectors

We connect to each system through the interface it offers — an API, a database, a file exchange or a webhook — and handle authentication, rate limits and retries.

Mapping

Fields rarely line up one to one. We map and transform the data so both systems receive it in the shape they expect.

Workflow

We define what triggers an exchange, in which direction data flows and which system takes precedence when the two disagree.

Monitoring

Every exchange is logged. Failures are flagged and can be replayed, so nothing disappears without anyone noticing.

What can actually be exchanged?

That depends on what BigCommerce and QlikView make available through their APIs, on the licences and modules in use, and on the version each system runs. Which records are synchronised, in which direction and how often, is something we determine together before any work starts.

We are happy to look at your specific situation and tell you what is feasible — including when the answer is that it is not.