As we look ahead to 2025, several significant trends are emerging that will shape the world of data and analytics. At Dawiso, we're constantly monitoring these developments and preparing our tools to help organizations effectively navigate them. Here's a closer look at the four key trends to watch. Are you ready?
It likely won't come as a surprise that we are beginning with artificial intelligence. Almost the entirety of 2024 was focused on AI, and 2025 is set to continue this trend. In fact, the topic is becoming increasingly important, and it would not be wise to ignore it.
AI governance is becoming increasingly important, particularly with the introduction of regulations such as the EU AI Act. This framework focuses on managing high-risk AI systems and ensuring compliance with strict guidelines. The trend is driven by two major factors:
AI governance is essential to mitigate risks by ensuring control over what data is used in AI models. For example, due to regulations like GDPR, organizations cannot indiscriminately use customer data in AI systems, as this poses significant legal and reputational risks. Without governance, there’s no safeguard against an employee inadvertently using sensitive data, which could lead to compliance violations and damage to trust.
Governance prioritizes transparency by documenting data provenance and decision-making processes, making AI operations reliable.
At Dawiso, we address this challenge by offering tools that ensure AI models are properly documented and traceable. Our platform, for instance, enables teams to centralize metadata and maintain a clear lineage of data transformations.
AI isn’t just something to govern—it’s also a tool to revolutionize how we manage and analyze data. Many data platforms, including Dawiso, use AI to enhance their capabilities. For example:
The cerebral cortex, responsible for higher-order functions like decision-making and perception, can serve as a metaphor for Snowflake Cortex. Both process complex information: the brain makes sense of the world, while Snowflake Cortex analyzes vast datasets for insights. Just as the cerebral cortex integrates sensory data for coherent understanding, Snowflake Cortex combines AI capabilities like machine learning and natural language processing for actionable results. Ultimately, while the cerebral cortex enables planning and communication, Snowflake Cortex empowers businesses to understand data, predict trends, and enhance applications, acting as the "brain" of their data strategy.
The potential applications of Snowflake Cortex are vast. Companies can use it to build chatbots that answer customer queries, analyze market sentiment through social media data, predict sales trends, or automate document processing for compliance and audits.
All of this sounds appealing, but there is one significant issue. Snowflake is the database where the data is stored. However, the AI remains a tool; it is not human and lacks contextual understanding. Without knowledge of the content within each column of every file, it becomes challenging to train a model to respond to natural language questions. So, how can we effectively integrate natural language into this process?
Tools like this enable users to generate sophisticated analytics with simple queries. However, for these AI models to work effectively, they need access to well-defined business logic. This is where Dawiso steps in, enabling seamless integration of business context with data platforms like Snowflake.
AI tools enriched by Dawiso can map columns to their real-world meanings, such as identifying which column represents the "number of sold products". These AI tools can transform cryptic database structures into meaningful insights.
Instead of navigating tables named “_BEV1_EMDRCKPL,” we will provide it with context to understand that this table contains data about the number of sold items. This business logic significantly enhances data usability and is a major trend to watch.
In the upcoming year, users can expect the integration of a trend like Snowflake Cortex. When combined with Dawiso, this integration will enable easy navigation and accurate AI interpretations by incorporating business knowledge into data sources.
While the concept of data mesh dominated discussions in recent years, data products are now taking center stage. Data products package datasets with context, descriptions, and ownership information, making them accessible and usable for different teams. This trend is especially relevant in decentralized organizations, where teams need autonomy to work with data effectively.
Our platform allows users to define data products, document them, and make them available in a marketplace-like format. For instance, when integrated with tools like Keboola or Confluent Kafka, Dawiso can automatically generate physical data flows based on user-defined products.
This flexibility supports both centralized and decentralized models, enabling data teams to collaborate while empowering individual business units like marketing or sales to take ownership of their data. Governance remains a critical layer here—without it, decentralized data management can quickly become chaotic.
And finally, data governance remains an evergreen trend. As organizations generate and rely on increasing volumes of data, effective governance becomes essential for realizing its full value. Good governance ensures that data is trustworthy, accessible, and used responsibly.
Despite its importance, many organizations still underestimate the need for governance, only recognizing its value when it’s too late. The consequences of neglecting governance are severe—financial losses, operational inefficiencies, and the loss of institutional knowledge as key employees leave.
Dawiso simplifies governance by enabling clear documentation, ownership tracking, and the seamless integration of governance practices across data assets. In a world where the importance of data continues to grow, governance will remain at the core of every successful data strategy.
2025 will be defined by advancements in AI governance, AI-driven data management, the evolution of data products, and the continued importance of data governance. These trends reflect a broader shift toward more intelligent, transparent, and decentralized ways of working with data.
At Dawiso, we’re not just observing these trends—we’re building tools to help organizations lead in this new era. Whether it’s through smarter AI integrations, enhanced governance frameworks, or support for decentralized data models, we’re here to ensure our clients are ready for the future.
Keep reading and take a deeper dive into our most recent content on metadata management and beyond:
.png)
