Few architecture decisions spark as much debate as this one: should we run our Business Intelligence in the cloud or on-premise, on our own servers? In 2021 the question is no longer theoretical. The digital acceleration of the past two years has pushed thousands of companies to rethink where their data and their analytics tools live. In this article we review the strengths of each model and, above all, how to make the decision without simply following the trend.
The 2021 context: an accelerated migration
The pandemic changed the rules overnight. Remote work went from being an option to being a requirement, and with it the need to access data from anywhere. Many organisations that had three-year cloud plans executed them in three months.
The result is that the cloud has stopped being the exception and become the default option for many new BI projects. Even so, “default” does not mean “always right”. The decision still depends on your context.
Advantages of cloud BI
The cloud model —usually delivered as SaaS— has strong arguments in its favour:
- Scalability. You can grow (or shrink) capacity as demand changes, without buying hardware up front or leaving it underused.
- Predictable cost. You move from a large upfront investment (CAPEX) to a recurring operating expense (OPEX). You pay for what you use and getting started is far cheaper.
- Less maintenance. Updates, security patches and infrastructure are the provider’s responsibility. Your data team focuses on data, not on administering servers.
- Genuine remote access. Any authorised user reaches their dashboards from the browser, wherever they are. In a world of distributed work, this has gone from a luxury to a necessity.
- Fast set-up. There are no machines to provision: the environment is ready in hours, not weeks.
When on-premise still makes sense
The cloud does not win in every scenario. There are cases where keeping BI on-premise —or at least part of it— remains the more sensible choice:
- Regulation and compliance. Sectors such as banking, healthcare and the public sector operate under regulatory frameworks that may require certain data never to leave the country or the company’s own infrastructure.
- Especially sensitive data. If you handle critical information and your security policy demands full physical control over where the data resides, on-premise offers that control.
- Latency and proximity. When analysis relies on operational systems that already sit inside your network, keeping BI close to the source can reduce latency and simplify integrations.
- Investment already amortised. If you have just invested in a data centre, forcing an immediate migration may not pay off in the short term.
Hybrid models: the best of both worlds
In practice, more and more companies do not pick an extreme but a middle ground. A hybrid model lets you, for example, keep your most sensitive data on-premise while moving to the cloud the analytical workloads that benefit from scalability and remote access.
The good news is that the leading platforms have adapted to this reality. Qlik, for instance, offers both SaaS cloud deployment and on-premise, and even combinations of the two; the same is true of other tools on the market. Choosing a flexible platform gives you room to evolve without getting locked into a single architecture.
How to decide
There is no universal answer, but there is a method. Before deciding, answer these questions honestly:
- What does your regulatory framework say? Start here: sometimes the rules settle the debate on their own.
- How sensitive is your data, and what level of control do you need?
- How does your team work? If it is distributed and needs access from anywhere, the cloud starts with an advantage.
- What budget and cost model suit you? Weigh CAPEX against OPEX according to your financial situation.
- What capabilities does your IT team have? Running on-premise infrastructure requires staff and skills that not every company has, or wants to have.
- How do you expect to grow? If you anticipate spikes or rapid growth, the elasticity of the cloud is hard to match.
The underlying recommendation is simple: choose based on your real needs, not on the trend of the moment. The cloud is an excellent tool for most new cases, but on-premise and hybrid models remain valid answers for specific contexts.
Conclusion
In 2021 the cloud has established itself as the natural route for new Business Intelligence projects, thanks to its scalability, its cost model and the remote access that distributed work demands. But the best architecture is not the most fashionable one; it is the one that fits your regulation, your data and your team.
At Digital Fox Data we help you evaluate the Business Intelligence tools and design the deployment —cloud, on-premise or hybrid— that best suits your company through our Business Intelligence consulting. If you are facing this decision, let’s talk.