Databricks Consulting Services

Leverage Databricks’ unified data lakehouse platform with our expert consulting, seamless data management and actionable insights.

Transform your business with efficient data processing, scalable infrastructure, and advanced analytics.

Our Custom Databricks Services

Whether you’re just getting started with Databricks, seeking advanced data solutions, or aiming to maximize your current setup, our expertise guides you at every step. 
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  • Databricks Performance Evaluation
    Evaluate your Databricks environment’s performance, security, and cost-effectiveness. We provide comprehensive assessments and recommendations based on Databricks best practices. 
  • Cloud Readiness Assessment & Migration
    Determine your readiness for cloud migration with our expert guidance. We ensure a smooth transition with minimal business disruption. 
  • Databricks Lakehouse Migration 
    Transition seamlessly to the Databricks Lakehouse platform, a more efficient solution for innovative data handling and cost management. Our custom migration plan includes detailed setup, configuration, and technical migration guidance tailored for your environment.
  • Data Engineering with Databricks 
    Create robust and efficient data pipelines for seamless data integration and analysis. Leverage the power of Databricks Lakehouse for reliable data processing.
     
  • Data Architecture on Databricks 
    We design adaptable and scalable data architectures using Databricks, ensuring high-quality, low maintenance, secure and accessible data. Our cloud-native solutions are cost-effective, enhance productivity, and grow with your business. 
  • Databricks Data Analytics 
    Utilize Databricks for advanced data analytics, uncovering valuable insights from large datasets. Our services enhance your data visibility and analytical capabilities.
  • AI and ML with Databricks 
    Harness Databricks for your machine learning projects. Our services accelerate model development and deployment, providing end-to-end support from concept to production.
  • 24/6 Support Services 
    Receive comprehensive support for your Databricks solutions. Our round-the-clock service ensures prompt resolution of queries and ongoing system maintenance.
     

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The Advantages of Choosing Databricks

Wondering if Databricks is the best choice for your data needs? Databricks, a Gartner® Magic Quadrant™ Leader for Cloud Database Management Systems, combines data warehouses and lakes into a unified lakehouse architecture, offering unparalleled data management and AI integration.

With its foundation in Apache Spark™, Delta Lake, and MLflow, Databricks facilitates massive-scale data engineering and collaborative data science. Trusted globally by leading companies, it empowers your team with full-lifecycle machine learning and advanced analytics.

Partner with B EYE for expert guidance to fully leverage Databricks’ capabilities and transform your data strategy. 

Databricks Success Stories

Hershey, a leader in the retail and consumer goods industry, faced challenges with disconnected data sources, hindering efficient decision-making. To address this, they embarked on creating a Commercial Data Store (CDS) using the Databricks Data Intelligence Platform, in collaboration with Advancing Analytics. This transformative initiative aimed to provide a unified and accurate source of commercial data across the company. The implementation of Databricks facilitated the automation of data feeds from their largest retail customer, replacing time-consuming manual spreadsheets with dynamic dashboards. As a result, Hershey empowered over 2,000 business and IT users in various departments with near-real-time data access for enhanced decision-making. 

This strategic move not only significantly reduced the time required for global financial planning but also established a single version of the truth for commercial data. Hershey’s leadership team now receives consolidated business performance reports in an interactive dashboard format, enabling swift and informed decision-making. This shift towards a data-driven approach has saved thousands of hours in report generation, fostered a culture of data literacy, and positioned Hershey for continued innovation and growth in the competitive retail landscape. 

HP Inc., renowned for its diverse range of printers, PCs, mobile devices, and services, faced significant data management challenges, with data siloed across multiple systems and heavy reliance on outdated warehousing technologies. This resulted in a cumbersome DevOps workload that impeded effective data utilization. To overcome these obstacles, HP Inc. turned to Databricks, seeking a scalable and unified analytics platform that could predict product issues and reveal new customer service opportunities. 

Databricks offered a solution that simplified the management of Apache Spark™, enabling HP Inc.’s data scientists to focus more on data analysis rather than DevOps tasks. This shift to a unified platform allowed for the analysis of high-volume data from over 20 million devices, enhancing their workflow significantly. Not only did Databricks streamline their data analysis processes, but it also fostered better collaboration among business analysts, data scientists, and subject matter experts. 

This strategic implementation of Databricks revolutionized HP Inc.’s approach to real-time IoT device management and process optimization. The unified platform significantly improved team productivity and innovation, as highlighted by John Landry, Distinguished Technologist at HP Inc. The results of adopting Databricks were clear: a more agile, efficient, and collaborative environment that propelled HP Inc. forward in its mission to create technology that amazes its users. 

Burberry, a renowned British luxury brand, revolutionized its marketing strategy by integrating Labelbox with Databricks Data Intelligence Platform. This collaboration allowed rapid image annotation for their extensive marketing assets, transforming a process that once took months into a matter of hours. The integration enabled Burberry’s marketing team to access and analyze high-volume unstructured datasets efficiently, enhancing decision-making for campaigns. 

The implementation significantly reduced manual efforts and time, allowing Burberry to realize a 70% improvement in generating insights. Additionally, the Databricks platform led to continual cost reductions, improving Burberry’s total cost of ownership over four years. This streamlined approach provided Burberry’s stakeholders with advanced tools to predict campaign engagement using data-driven insights, leading to smarter marketing decisions. 

The success of this project demonstrates how Burberry leveraged technology to enhance its marketing capabilities, offering a scalable and customer-centric solution. The partnership with Databricks and Labelbox underpins Burberry’s commitment to innovation, ensuring sustained growth and efficiency in their marketing strategies. 

Michelin, a leader in tire manufacturing, embarked on a journey to become a data-driven organization with Databricks, focusing on democratizing data across the company. This initiative aimed to unlock value in various business aspects, such as supply chain optimization and stock outage predictions, by providing employees with open and flexible access to actionable data. 

The transformation strategy rested on three pillars: creating a platform for secure data access, establishing governance for data accessibility and security, and viewing data as a consumable product. However, Michelin’s legacy on-premises platform was limited in openness and flexibility, leading to data silos and restricted tool access. To address these challenges, Michelin adopted the Databricks Lakehouse, breaking down silos and fostering significant team autonomy. 

An early application of this strategy was using AI to predict stock shortages, leveraging machine learning models on Databricks. This approach enabled real-time data streaming and analytics, supporting numerous use cases across the organization. The shift to Databricks not only facilitated diverse and scalable use cases but also fostered a collaborative community within Michelin, sharing data, code, and best practices. 

This initiative demonstrates Michelin’s commitment to innovation and their progress towards being a data-driven entity, showcasing the power of Databricks in transforming organizational data culture and operations. 

Biogen, a leader in neurological disease research, turned to Databricks for managing extensive genomics data sets. Confronted with the limitations of their on-premises data infrastructure, Biogen embraced Databricks for Genomics on AWS cloud, enabling them to process petabytes of data from the UK Biobank efficiently. This move drastically reduced data processing times, allowing the annotation of millions of genetic variants in just 15 minutes. 

The transition to Databricks simplified Biogen’s data analysis and infrastructure, enhancing their ability to explore genetic data at scale. Utilizing Databricks and Delta Lake, Biogen identified two new drug targets and gained valuable insights into neurodegenerative diseases like Alzheimer’s and Parkinson’s. The platform’s robust data partitioning and security features ensured the integrity of sensitive genetic data. 

Biogen’s adoption of Databricks marked a significant leap in their data-driven approach to medical research. This shift not only streamlined their operational processes but also accelerated the discovery of novel treatments, demonstrating the transformative power of cloud-based data analytics in the life sciences industry. 

Condé Nast, a global media powerhouse with brands like Vogue and The New Yorker, faced challenges in delivering personalized content due to fragmented data silos. Implementing Databricks, they streamlined their data processes, significantly accelerating decision-making and improving operational efficiency.  

This strategic shift enabled them to optimize their infrastructure, saving approximately $6 million in costs. Databricks provided a unified view of their audience, enhancing content personalization across their vast media landscape. 

The adoption of the Databricks Data Intelligence Platform marked a pivotal moment for Condé Nast. It allowed them to centralize and effectively utilize their data, leading to more consistent global reporting and insightful content strategies.  

The platform’s robust analytics and AI capabilities enabled them to tailor content experiences on a global scale, resulting in increased consumer engagement and loyalty. This transformative approach to data not only bolstered Condé Nast’s financial health but also reinforced their commitment to delivering compelling consumer experiences. 

Boost Efficiency and Drive Growth with Our Solutions

Our innovative solutions are designed to streamline processes, reduce costs, and drive your business forward.

Our Technology Partners

Our expertise spans multiple technologies, enabling us to deliver solutions that align perfectly with your business’s unique requirements. 

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The Industries We Serve

B EYE specializes in guiding Fortune 500 companies from diverse industries towards achieving their goals. Our expertise in data analytics transforms complex challenges into clear, actionable solutions.

What We Do

Our approach is what sets us apart. With B EYE, you gain:

Experts in Every Technology, at Every Lifecycle Stage

Our experts cover every technology, guiding you from strategy creation to integration and analytics.

We align our efforts with your business goals, ensuring meaningful progress at every stage.

With a focus on both current requirements and future readiness, our expertise is your advantage in navigating the data landscape.

Tailored Services

We don’t believe in one-size-fits-all.

Our services are customized to address your specific challenges and goals. This approach ensures that our strategies resonate with your unique business context, maximizing the impact of your data initiatives.

Through collaboration and continuous feedback, we refine our solutions to better suit your evolving needs.

End-to-End Capability

Whether you need a comprehensive solution or just a piece of the puzzle, we offer both full-scope projects and standalone services.

Our versatility allows us to support your data journey at any stage, from initial assessment to ongoing management and optimization.

With B EYE, you gain a partner capable of driving transformation, regardless of your starting point.

Flexible Engagement Models

Our project-based and team augmentation models ensure that you have the right skills and resources at the right time. This flexibility allows us to seamlessly integrate with your teams, adapting our approach to fit your project timelines and business rhythms.

Whether supplementing your in-house capabilities or managing projects end-to-end, we’re committed to delivering value on your terms.

Commitment to Excellence

Continuous training and a focus on innovation keep our team – and yours – at the forefront of data technologies. This dedication to excellence ensures that we’re not just keeping pace with industry trends but actively contributing to their evolution.

Our commitment extends to establishing a competency center and empowering your team through knowledge transfer and skill development to sustain progress long after our engagement concludes. 

Proven Impact

Our methodologies have delivered significant cost efficiencies and business transformations across industries. By leveraging best practices and insights gained from a diverse range of projects, we drive measurable outcomes that reflect in your bottom line and competitive positioning.

With B EYE, you’re choosing a partner whose impact extends beyond immediate project goals to achieve long-term success and growth.

Book a Complimentary Databricks Consultation

Elevate your data analytics and AI capabilities with our Databricks consulting. Schedule a consultation to explore efficient big data processing,
advanced analytics solutions, and strategies to
leverage actionable insights for your business.