• Transform your organization with data

     

    No matter your needs in data, analytics, cloud or the complete digital transformation process, we are here for you, across industries and functions.

  • Big data services are aimed at helping companies handle massive-scale data for smooth software operation and reliable analytics insights. With 10 years of experience in big data, GeekDance provides full-scope big data services. We also apply our experience in AI/ML, data science, business intelligence, and data visualization to maximize the value of our customers' big data initiatives.

  • Data

    engineering

    • Building scalable and secure ETL/ELT data pipelines
    • Auditing and optimizing pipelines for downstream analysis
    • Deploying data warehouses and data lakes

    Data analysis and visualization

    • Building custom reporting dashboards
    • Implementing BI tools
    • Optimizing BI systems
    • Providing advanced ML analytics

     

    Data and pipeline migration

    • Migrating data from legacy systems
    • Moving the existing data infrastructure to the cloud
    • Integrating systems across on-premise and cloud

    Data quality management

    • Assessing how data is retrieved and then kept in the system
    • Establishing standards for working with data and adjusting data access
    • Implementing data lineage to visualize the data flow across various systems
    • Configuring data pipeline monitoring

    Big data

    consulting

    • Reviewing all elements that can affect your report’s quality
    • Navigating you through the architecture behind any data-driven solution
    • Shortlisting optimal platforms and tools that answer your needs

    AI

    & ML

    • Designing an AI solution for data analysis
    • Implementing AI models for extracting and structuring data from various sources
    • Gathering and cleansing data for ML model training to make data-driven predictions

  • Transform data into valuable insights

     

    We offer a comprehensive suite of solutions to simplify your process of analyzing and deciphering your data resources.

  • End-to-End Data Excellence

    Offering a complete suite of data analytics services, from data collection and cleansing to advanced analysis and actionable insights

    Tailored Solutions for Any Industry

    Providing customized data analytics solutions that are specifically designed to address the unique challenges of your industry

    Holistic Data Strategy

    Developing comprehensive data strategies that align with your clients' business objectives, ensuring data-driven decisions drive overall success

    Industry Expertise

    Provide specialized insights and advice in your industry on a global scale with our deep knowledge and experienced consultants team

  • Geek Dance Big Data Services

    • Powerful data analysis system: Design an efficient system that can process large-scale data, provide real-time accurate insights, and provide strong support for decision-making.
    • Data Warehouse and Data Lake: Provide secure and reliable data storage solutions, centrally manage massive amounts of enterprise data, and ensure data integrity and accessibility.
    • Intelligent data analysis tools: Develop intelligent tools to help enterprises discover patterns, trends, and correlations in data, providing advanced prediction and recommendation functions.
    • Data Visualization and Report Generation: Provides intuitive data visualization tools and flexible report generation tools, enabling enterprises to clearly present data insights, support business decision-making and strategic planning.

  • Industry-neutral big data use cases

    Industry-specific big data use cases

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    Healthcare

    • Capturing, storing, and analyzing patient-related data (doctor notes, medical images, EHR/EMR data, R&D results, etc.).
    • Real-time patient monitoring and alerting on trends and patterns requiring the doctor’s attention.
    • Personalized care plans recommendations.
    • Mining claims data to identify fraudulent activity.
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    Retail and ecommerce

    • Analyzing customer demographic data, data from mobile apps, in-store purchases, etc. to identify customer paths and behavior to optimize merchandizing, provide personalized product recommendations, discounts, etc.
    • Forecasting customer demand, analyzing the key attributes of past and current products/services and commercial success of their offerings, and using ML-driven recommendations to create new products/services.
    • Consolidating and analyzing data from social
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    Financial services

    • Analyzing integrated transactional data, interaction events, customer behavior in real time, identifying complex AML transactions, creating advanced risk models, etc., to identify potential fraud and fraud patterns.
    • Consolidating and analyzing data on assets and liabilities and conducting credit risk assessment, liquidity risk assessment, counterparty risk analysis, etc., to mitigate financial risks.

  •  

    Industry-neutral big data use cases

    Big data warehousing

    • Storing data about business processes, finances, resources, customers, etc. for analytical querying and reporting.
    • Corporate performance analytics.
    • Revenue, cost and investment analytics.
    • Predicting, forecasting, planning (performance, revenue, capacity, etc.) with all interdependencies.

     

    Operational analytics

    • Collecting, processing and storing large volumes of operational data (transactional data, production process data, asset data, employee data, plans, etc.)
    • Detecting deviations and undesirable patterns in a company’s operations (production processes, product distribution, etc.)
    • Recognizing bottlenecks (equipment failure, resource unavailability, etc.), conducting cause-effect analysis.
    • Forecasting (demand, capacity, inventory, etc.)

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