Business intelligence: gaining a competitive edge from data

The speed at which markets are changing is faster than ever before. Customer preferences often change overnight and your competition never sleeps.

That's why data is the gold of the modern age. An abundant digital precious metal which, as in reality, must first be mined, processed and prepared before it reaches the desired value.

Business intelligence systems help you do just that: they take the raw material and polish it to a high gloss so that you can use it to strengthen your value chain.

All the small and large market developments as well as internal findings have the potential to have a lasting impact on the success of your company. The most successful companies of the future are already using this opportunity to their advantage today.

That's why you should no longer be guided by your gut feeling when making decisions.

BI gives you the tools you need to understand your market, your customers and your company even better.

Business intelligence gives you full access to real-time data that helps you react to short-term developments at lightning speed - and create accurate forecasts for the future.

Whether it's about sales figures, market changes or the behavior of your customers: with a functioning BI system, you are able to drive important decisions - without having to spend hours consolidating data or evaluating Excel spreadsheets.

This brings us to another important point: BI is perhaps the most powerful tool for process optimization that you can integrate into your company, because: Numbers speak a clear language - as long as you have access to them and are able to understand them.

Business Intelligence solves this problem by automatically transforming cryptic facts into generally understandable messages. This allows you to identify sluggish sales figures, inefficient processes or wasted resources much more quickly and take immediate action to improve them.

The business intelligence data warehouse plays a key role here. It stores huge amounts of data, decouples it from the operational systems and brings it into a standardized form.
BI thus creates the basis for a better product portfolio, deeper customer loyalty, efficient processes and, last but not least, solid corporate growth.

Even if it may seem complicated at first glance, getting started with BI is basically possible for any company, even if you and your teams have not yet acquired any prior knowledge in this area.

However, a few important basics should be in place to ensure a successful start.

First of all, you should clearly define which data is really relevant for your business and how you want to collect and structure it.

For example, if you still store the majority of your data in Excel files, this can make further processing much more difficult. We will be happy to tell you how to flip the switch and find a better way to collect your data in a free consultation.

Once the data strategy is in place, you need to decide on the right BI software. There is now a huge range of business intelligence tools on offer, from classic desktop solutions to complex business intelligence cloud systems such as Microsoft Fabric.

Which solution is right for your situation depends on various factors such as the size of your company or the complexity of your data landscape.
Apart from that, the people behind your BI solution play a decisive role.

It doesn't matter whether a specially trained business intelligence analyst takes care of the interpretation of your data alone or whether you want to assign this task equally to different team members: Make sure you fill the respective positions with well-trained specialists and take care of appropriate training measures in good time if required.

In practice, the business intelligence process consists of three important phases:


1. data delivery - creating the foundation
The data delivery phase involves bringing together all relevant data sources. This can be data from your CRM system, social media platforms or even Excel files - depending on what is important for your company. Here's an example: a business intelligence manager in the retail sector could collate transaction data, customer feedback and sales figures to create a solid database. This data then ends up in the data warehouse, which structures, consolidates and stores the data fully automatically.


2. relationships, patterns and principles - recognizing patterns
Now comes the exciting part. The BI system analyzes the data and tries to identify relationships and patterns. Here is an example from the financial sector: a BI tool analyzes the available sales figures and automatically creates a report. This shows that a certain product line sells better in certain regions. This gives the company the opportunity to initiate appropriate optimization measures.


3. knowledge sharing - passing on knowledge
Phase 3 is about sharing the knowledge gained with the right people. And that doesn't just mean simply creating reports, but giving people the right insights so that they can make decisions independently. In the automotive industry, for example, business intelligence managers continuously examine internal production processes. They then share the resulting findings with the various department heads - who in turn use them to reduce downtime or optimize supply chains.

Lack of strategy
If you start without a precise objective, you run the risk of getting bogged down. The business intelligence process must be well thought out from the outset and focused on your business objectives. Ask yourself: What do I want to achieve with my data? Otherwise, you are only analyzing data as an end in itself.

Insufficient data quality
If your data is incorrect or incomplete, this will inevitably have a negative impact on the analysis results. Your data must therefore have a certain basic quality. Otherwise, your business analysis could do more harm than good.

Too little training and support
The best BI systems are useless if your employees can't understand or use them. Avoid excessive complexity. And be sure to invest in adequate training so that all employees can use the tools effectively and the BI process works as intended.

Rely on a flexible BI architecture
The key to BI success lies in a flexibly structured data landscape that not only gives you maximum freedom of action today, but also today. Think of business intelligence as a constantly evolving ecosystem that helps you keep pace with current trends. Rigid systems that are difficult to scale will sooner or later lead you to a dead end.

Focus on your most important KPIs
Many companies collect data and create countless reports, but hardly anyone asks themselves: "What are the real drivers of success?" It's not about collecting more data, it's about collecting the right data - and actually using it. The KPIs you choose should reflect your company's core objectives. Not every numerical value that emerges from the data is relevant. And more importantly, adjust your KPIs regularly to keep up with changing market conditions.

Promote a data-driven corporate culture
If data is only treated "incidentally" in your company, the best business intelligence software will not bring the desired success. The true benefits will only be realized when your employees understand that BI is a corporate philosophy. A basic attitude in which decisions are not just made on instinct, but are based on hard, meaningful figures and which the entire company helps to bring about.

If you would like to know how you can implement BI in your company and benefit from its many advantages, we would be happy to invite you to a free consultation.

Together, we will develop a suitable BI strategy that fits your goals. We will also look at which tools will bring you the greatest added value and how you can use your data particularly efficiently.

Sounds promising? Then simply click on the button and secure your free consultation appointment.