Analytics Professional Services

Analytics Professional Services

Fluctuating needs and skill gaps mean that Application and Product Leaders often need additional data engineering, machine learning, or visualization experts to meet demand. Whether your resource needs are short-term or ongoing, Fuld can provide the professional and technical expertise you need.

 

Our services enable companies to successfully:

• Streamline product development and deployment
• Optimize post-deployment product support
• Expand technical and machine learning toolkit
• Scale delivery capacity
• Minimize costs

 

Our areas of expertise:

We have extensive experience across a wide range of tools and platforms, making us truly technology agnostic. With proficiency in the following areas, our dedicated experts can enable you to focus more on product management and innovation and less on the process:

 

Business Needs and Best Practices Assessment

• Engage with business stakeholders and end-users to understand business requirements, key hypotheses, unmet needs, and expectations
• Create and test wireframes with the target audience

 

Data Engineering Services

• Design data pipelines and large-scale ETL solutions
• Handle cloud-based deployment
• Manage streaming and real-time data updates

 

Data Science/ML Services

• Develop AI/ML models, including natural language processing, text mining, computer vision, statistical hypothesis testing, econometric models, and other data solutions to generate critical and unique insights from vast and complex data

 

Visualization Services

• Create user-friendly, dynamic, and visually appealing dashboards that provide actionable insights

 

UI Design and Testing

• Understand business needs and develop UI design concepts and wireframes
• Test and improve design concepts and incorporate design best practices
• Test final UI or application for design adherence, best practice implementation, and resulting user experience

 

Managed Services

• Provide ongoing maintenance and support services for data pipelines, analytics models, machine learning algorithms, dashboards, data products, and applications
• Manage sprints and update pipelines, and implement code, algorithm, design, and process changes, accordingly

Discover our Analytics Solutions

Case Studies

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Understanding End-User Dashboard Needs and Wireframing Designs

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Managed Services for Workflow Management Application

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Employee Engagement and Satisfaction Dashboard

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