5 Trends that make a data warehouse more urgent than ever

1. Third-party data is declining

Due to stricter privacy regulations and the disappearance of third-party cookies, first-party data is becoming increasingly important. Your own data warehouse plays a central role in this, as it safely stores and manages all your (first-party) data.

2. More complex (website) tracking

Tracking visitors and customers is becoming more difficult due to browser restrictions and legislation. Where you used to be able to track everything, you now have to handle the data you can and may collect more smartly. The data warehouse serves as a central place to optimally leverage and analyze this increasingly scarce data.

3. Growth of predictive algorithms

Predictive analytics and AI are playing an increasingly larger role. To train models, you need sufficient (and especially high-quality) data. Your data warehouse provides the supply of this data—without a solid foundation, there are no good algorithms.

4. Personnel is becoming more expensive

As employees become scarce and expensive, it’s worthwhile to automate processes as much as possible. A data warehouse is ideal for automating tasks that require many repetitive, manual actions (such as reporting and data checks).

5. Competitive advantage for (scale-up) companies

More and more scale-ups and established companies are investing in data. Not keeping up with this development will cause your organization to fall behind. By using data smartly, you can move faster, make proactive decisions, and adjust where necessary.

Frequently Asked Questions

What is a data warehouse?

A data warehouse is a central repository where you bring together and organize data from various systems. It provides a single, reliable source of truth for your entire organization.
Want to learn more? Read the full article ‘what is a data warehouse?’ for more information.

What are the benefits of a data warehouse?

A data warehouse brings all your data together in one place, allowing you to report faster and more clearly. It gives your organization more control, deeper insights, and the freedom to store data without limitations.
Curious about all the benefits? Read the full article ‘what are the benefits of a data warehouse?’ here.

What are the trends in data warehousing?

Key trends in data warehousing include the decline of third-party data, stricter privacy regulations, and the rise of predictive analytics. Automation is also becoming more important due to a shortage of skilled personnel, and data is increasingly becoming a competitive advantage for businesses.
Want to learn more? Read the full article ‘what are the trends in data warehousing?’ here.

What are data warehouse hosting options?

The most well-known hosting options for data warehouses are Google Cloud Platform, Amazon Web Services, and Microsoft Azure — each offering strong integrations and scalable solutions. Google Cloud is especially popular due to its cost flexibility, ease of use, and strong connections with Google tools.
Want to learn more? Read the full article ‘what are data warehouse hosting options?’ here.

What are alternatives to a data warehouse?

Plug-and-play tools like Supermetrics offer a quick and easy way to collect data from marketing platforms, but they are less scalable and can become expensive as your business grows. For comprehensive and integrated data analysis, a robust data warehouse is often still the best choice.
Want to learn more? Read the full article ‘what are the alternatives to a data warehouse?’ here.

How do you set up a data warehouse?

You set up a data warehouse by first identifying your data needs and designing a data model. Next, you connect data sources, transform the data, load everything into the system, and ensure quality control and reporting.
Curious about the full approach? Check out the full article ‘how do you set up a data warehouse?’ here.

What are data warehouse use cases?

Data warehouses make it possible to gain insights into sales funnels, advertising effectiveness, inventory management, and margin optimization. They also support analyses of returns, employee performance, and customer value over time.
Want to know more? Check out the full article ‘what are data warehouse use cases?’ here.

What are the costs and ROI of a data warehouse?

The costs of a data warehouse consist of both direct and indirect components such as hosting (cloud or on-premises), development (implementation and further development), maintenance and support, tool licensing, and staff training. There are also indirect costs like change management and missed opportunities due to delays.
The ROI comes from time savings through automation, better marketing decisions thanks to integrated data, increased revenue through upsell and cross-sell opportunities, and cost savings through more efficient use of staff and inventory management.
For a full explanation, read the complete article on ‘the costs and ROI of a data warehouse’ here.

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