Democratizing Game Data in the Era of AI

Making data-driven decisions is an essential part of many industries. But for so long, non-technical teams simply haven’t had the skills or tools to access data and translate it into relevant insights, at least at speed. In short, there has been a severe lack of data democratization.

In game development, this inevitably creates bottlenecks and impacts innovation for game designers, product managers, and other employees who aren’t necessarily data-savvy.

However, the emergence of AI at a mainstream level is revolutionizing the way data is collected, accessed, and even understood. In fact, 78% of Deloitte’s respondents expect to increase overall AI spending in 2025.

And today, game organizations can “democratize” their data through the power of AI. But what exactly does this mean?

What Is Data Democratization?

Generally, data democratization describes the process of making data accessible to an entire organization. This includes those who handle data daily and non-technical employees.

The goal of data democratization is to empower all employees to leverage data to make better decisions.

But even today, this process hasn’t been easy to implement, for multiple reasons.

Data Challenges Nontechnical Teams Face

Non-technical teams in game companies can struggle to handle and analyze data properly. For example:

• Too much data can be overwhelming.
• Data can be way too complex, making it inaccessible.
• Sifting through data can be time-consuming.
• Coding/statistical skills are often essential for traditional data analysis.

In game development, there are various roles in which data isn’t typically a part of their day-to-day. These include:

Non-Technical Position	Data Challenges	Impact
Game Designers	Struggling to understand player interactions without data analytics skills.	Delays in level design, balancing gameplay, and player progression.
Product Managers	Without access to raw data, PMs can fail to fully understand player retention, engagement, and monetization trends.	Making fast, accurate decisions to improve revenue and retention can be difficult.
Marketing Teams	Understanding which campaigns cause churn and which ones bring in high-value players.	Poorly scaled campaigns and wasted ad spend.
Monetization Managers	Not having the right tools to analyze purchasing patterns.	Poor monetization models that lead to missed revenue opportunities or churn.
Live Ops Teams	Handling large datasets to personalize in-game promotions, offers, and events.	Missed opportunities for monetization and engagement optimization.

And even more technical members of a game company, like data scientists or analysts, still face data challenges. These include:

• Struggling to handle a game’s large data sets.
• Pinpointing key data points to generate insights about a game’s performance (85% of data experts struggle to interpret data).

But we are now living in a time where data is easier than ever for all team members to access.

How AI Can Make Data Accessible Across Teams

Advancements in AI are transforming the way that all teams handle data. In this survey alone, about two-thirds of respondents claim their organizations use AI.

According to PWC Labs technology leader Michael Shehab, “Making AI technologies more accessible expands the possibilities of what business can accomplish.”

Even teams without technical expertise can use AI to:

• Explore data effortlessly.
• Ask questions in a natural language and receive instant feedback.
• Identify data patterns, trends, and anomalies that previously would have been impossible to find.

AI is breaking down data barriers. It allows teams, regardless of technical expertise, to access meaningful insights.

Take Keewano, For Example

Keewano’s AI analytics agent, purposely built for games, can democratize data and provide actionable guidance to all teams. Here are some ways it can make data accessible for everyone.

Breaking Down Large Data Sets

Many traditional analytics tools require expertise in SQL and manual queries. But Keewano’s AI-driven approach allows product managers, game designers, and other game development professionals to gather real-time insights without needing deep knowledge of data science.

Visualizing Data in Real-Time

Keewano simplifies player behavior across a big audience, providing a clear, real-time visualization powered by churn analysis and automatic player segmentation.

Its behavioral map processes 1 billion events in under 2 seconds, making historical depth and audience size unlimited. This means that developers can explore player behavior at any resolution.

Automating Meaningful Insights

AI agents like this one don’t just visualize data. They actively translate trends, causal relationships, and anomalies that developers can act upon.

Personalizing Analytics

Keewano’s AI understands game-based contexts, using game mechanics, player behavior, and monetization models to tailor actionable recommendations.

Suggesting Decisions in Real-Time

Keewano’s AI Analyst highlights the most critical, pressing areas of a game, explaining the issue, its impact, why it happens, and recommendations for solutions.

The user can then chat with the AI Analyst in a Natural Language Interface (NLI) and ask anything within a clear, well-defined context.

Allowing for Deeper Data Exploration

Despite making data accessible for non-technical teams, Keewano is also designed for analysts to want to explore data more deeply, validate hypotheses, and build on insights. This makes it a powerful tool for game companies of all sizes.

It’s Time for AI-Driven Game Data Democratization

AI-driven data democratization isn’t just a nice idea. It helps organizations completely shift the way their workforce uses data. Data scientists, analysts, and engineers are no longer the only figures who can extract meaningful insights that directly impact their business.

With AI-driven analytics agents like Keewano’s, all departments can access data in real-time, and then interpret and act upon it. This game-changing advancement is driving smarter, quicker decision-making in game development and beyond.