Blend's AI/BI Accelerator empowers organizations to democratize data insights through conversational intelligence that requires no technical expertise. By combining Databricks' powerful Genie technology with our proven three-phase methodology, we transform how your teams access and utilize business intelligence—moving from complex queries to natural language conversations with your data. Through careful assessment, implementation, and knowledge transfer, we ensure your business users can independently uncover actionable insights while maintaining robust governance, creating a data-driven culture where decisions are made faster and with greater confidence.

Blend's Unity Catalog Accelerator empowers organizations to streamline their data governance through a unified, secure, and accessible platform. By assessing your current landscape, we pinpoint where fragmented data environments can be transformed into centralized, governed assets that drive confident decision-making. Through our proven three-phase implementation methodology, we ensure you're not just adopting technology, but building a foundation for long-term data success that eliminates silos and enables powerful analytics across your enterprise.

Blend's Energy Solutions transform UK operators from data-rich to decision-ready by combining our deep North Sea sector expertise with Databricks' industry-leading data and AI platform. We tackle business-critical challenges including aging infrastructure, operational silos, and legacy technology through scalable cloud data solutions that deliver meaningful business outcomes. By partnering with energy companies to establish resilient digital teams and optimize operations, we ensure you're not just collecting data, but leveraging it to drive confident decision-making that stands out in the competitive energy landscape.

Run large-scale data processing and what-if analysis using statistical algorithms and predictive models to uncover hidden patterns, correlations, market trends, and customer preferences.

Developing curated data assets with proper controls, clear metadata & documentation, and a framework that allows for competitive advantage.   Data Products require a clear understanding of the producers of data (to understand the nuance of what the data means), consumers of data (to ensure that it's fit for purpose) and the state of business, industry regulation, government regulations, and expectations of other stakeholders.

Managing the creation of data insights as a product, so multiple facets of use are considered and implementation is managed to value using product management techniques.