Start of Main Content

As we enter the back half of 2025, the world of data and analytics continues to evolve at breakneck speed. For data and analytics leaders, staying ahead means navigating a dynamic landscape of new AI capabilities, evolving privacy requirements, and ever-growing stakeholder expectations.

Based on what we’re hearing every day from our clients at Brooklyn Data, these are the five biggest challenges they’re tackling halfway through 2025 — and the ways we’re overcoming them together.

AI has moved well beyond the hype cycle — leaders are under pressure to deliver real business value from their AI investments. Many organizations have a collection of promising pilots but lack the robust data pipelines, governance frameworks, and machine learning operations (MLOps) practices to take models from experiment to production.

How Brooklyn Data Helps

Our cross-functional expertise in modern data stack tools, MLOps, and cloud architecture helps your teams industrialize AI. Whether it’s building automated model monitoring pipelines, deploying ML models using best-in-class orchestration tools, or ensuring data quality, we ensure your AI initiatives don’t stall out in the lab.

The modern data stack revolutionized analytics in the early 2020s. But many teams are realizing today that having best-in-class tools isn’t enough. Leaders want to maximize ROI from their stack by optimizing performance, improving cost efficiency, and integrating new GenAI capabilities.

How Brooklyn Data Helps

We bring deep experience with platforms like dbt, Snowflake, Databricks, BigQuery, and Hex. From cost optimization audits to performance tuning, to implementing next-gen semantic layers and AI-enhanced BI experiences, we ensure you can turn a great stack into a game-changing analytics engine.

Empowering business teams with self-serve access to trusted data remains a top goal — and a top struggle. Many organizations suffer from messy data definitions, poor data discoverability, and dashboards that users don’t trust or understand.

How Brooklyn Data Helps

We specialize in data enablement, helping your organization design accessible data models, intuitive reporting layers, and clear documentation. With best practices for data governance and training, we bridge the gap between technical teams and business stakeholders, so insights don’t get lost in translation.

 

Let’s build a data future you can trust — and scale.

Chat with our experts about where you are today — and where you want your data to take you next.

As generative AI (GenAI) usage hits an all-time high, new questions arise around data privacy, ethical AI, and compliance. Leaders must ensure that AI-powered products and internal analytics align with evolving regulations and customer expectations around data usage.

How Brooklyn Data Helps

Every day, we help teams implement robust governance frameworks, lineage tracking, and consent management practices that scale with GenAI ambitions. We’re not just data architects — we’re trusted advisors who help you and your team navigate the ethical and regulatory minefield with confidence.

In a year where economic pressures remain, data and analytics leaders are doubling down on demonstrating measurable business impact. It’s not enough to have great dashboards — executives want to see a clear return on investment from data expenses and trusted key performance indicators that drive decisions.

How Brooklyn Data Helps

We take a collaborative, outcome-oriented approach by embedding with your teams to align analytics initiatives with core business objectives. From actionable experimentation roadmaps to performance measurement frameworks, we help you connect data outputs to results and tell that story to your stakeholders.

Halfway through 2025, the opportunities and the challenges are bigger than ever. If you’re ready to operationalize your AI, level up your data stack, empower your teams, and prove real value, we’re ready to partner with you.

The challenges of 2025 demand more than quick fixes — they call for strategic, scalable solutions. Contact us to start developing those solutions today.

Published:
  • Data Strategy and Governance
  • AI and Machine Learning
  • Data Stack Implementation
  • Data Tooling Optimization
  • Data Team Enablement

Take advantage of our expertise on your next project