BI & Analytics

Data-driven insight is an unmatched differentiator in business today. Companies that capitalize on collected data gain a deeper understanding of customers, markets, and operations, which ultimately drives productivity, enhances the customer experience, and leads to unrivaled growth.

Capturing data and harnessing its benefits places a new level of demands on businesses' data and analytics capabilities. DataArt helps clients outperform competitors by building modern data analytics architectures, by helping to evolve an insight-driven organization through data management and Agile BI systems and practices, and by enabling AI, machine learning and data science.

Our Solutions and Services

  • Building Modern Data Analytics Architectures

    The evolution of big data and cloud technologies, as well as an increase in business engagement with data and analytics, has brought a significant shift in the design principles of modern data analytics architectures. DataArt helps build architectures that have a flexible, modular structure, enabling components to evolve at the speed of business. Such platforms enable real-time and batch processing, support secure data management and governance, scale on demand, and bill only for the resources used.

    Deliverables for clients:

    Through the design and construction of modern data analytics architecture solutions, DataArt delivers:

    • A modular and flexible data analytics foundation that evolves with business needs
    • Future-proof architecture that will accommodate new data sources and downstream applications and uses
    • A move from historical reporting to predictive and prescriptive analytics
    • The capabilities for digital transformation and business agility
    • A move to self-service and the Citizen X (integrator, data scientist, etc.)
    • Reduced costs and accelerated change in data architecture and analytics using next-generation cloud technologies
    • Democratized data, business intelligence, and advanced analytics through business-driven data sharing, lineage, quality, security, and governance
    • Greater responsiveness to line-of-business (LOB) users

    Services

    • Modern Data Architecture Design and Delivery
    • Data Analytics Implementation

    Skills and Expertise

    To plan and construct high-quality data analytics solutions, DataArt harnesses specialist skills like:

    • Data Integration and Data Engineering
    • Data Warehousing, Data Lakes and EDW Automation
    • Big Data Analytics, Real-time, Graph Data Analytics
    • Data Governance, Lineage, Metadata Management
    • Data Visualization, BI, Reporting
    • Data Science and Machine Learning
    • Data Distribution, API Data Delivery
    • Master and Reference Data Management, Semantic Data
    • AI-Infused Applications

    Partnerships

  • Enabling an insights-driven organization

    To make actionable intelligence possible, companies have to design data architectures and processes that ensure transparency, reliability, and accessibility, while also enabling direct real-time interaction with data by business users. DataArt helps to establish a modern data management foundation and Agile self-service BI by building business-focused POCs and gradually evolving the data analytics platform and processes.

    • Data Management

      DataArt helps organizations reach the following objectives:

      • Achieve high data quality by establishing robust data quality management and integration practices
      • Define a practical value-driven and business-led data governance framework to support data quality, security, modeling, and integration
      • Improve transparency and trust in data and increase data management efficiency with data lineage and metadata management
      • Make data and analytics easily accessible to a wide range of business users and drive user engagement with those data systems
      • Ensure successful delivery of high-priority business-use cases while simultaneously evolving the data architecture and operating model
      Data management

      Services

      To achieve these goals, DataArt provides the following consulting services:

      • Data strategy consulting
      • Data landscape profiling
      • Analysis and prioritization of data and analytics pain points and business scenarios
      • Solution roadmap definition-architecture and operating model evolution, POC funnel, business case delivery
      • Capability assessment, target state envisioning, solution design, technology and tools selection and implementation in:
        • Data governance and quality management
        • Metadata management and data lineage
        • Data modeling and integration
        • Data architecture and storage
        • Data security
        • Data warehousing and reporting
        • Business Intelligence and Advanced Analytics
        • Master and reference data management
        • Graph and semantic data
        • Data distribution and data products
    • Agile Business Intelligence

      The transition to an insight-driven business depends on democratized, quick, and easy access to data, business intelligence, and analytics. Giving a wide range of business users the ability to glean insights from data leads to a better understanding of customers, markets, and operations, and enhances the ability of a business to respond to change rapidly.

      When designing and building Agile BI solutions, DataArt aims to:

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      Augment traditional standardized Data Warehouse (DW) and Business Intelligence (BI) workloads with self-service BI

      This allows business users to efficiently source data and explore its value by building analytical models or visualizations in a matter of minutes or hours.

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      Analyze and select self-service BI or analytics toolsets that fit each individual business

      (e.g., visualization/dashboarding, comprehensive calculation modeling, or supercharged ML-powered analytics).

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      Integrate BI

      Integrate BI with data lineage and metadata management foundations to provide an in-context understanding of the data, along with its flow and semantic and quality characteristics.

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      Streamline the transition

      Streamline the transition from exploration by business users to rapid prototyping/proof-of-concept (PoC) creation by a central BI or data analytics team.

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      Establish

      Establish BI governance, usage monitoring, and analytics to continuously curate, rationalize, standardize, optimize, and control business-use case implementations that proved value.

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      Embed and automate

      Embed and automate BI and analytics into line-of-business systems and business processes to seamlessly deliver contextual and actionable insights

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      Employ

      Employ usage monitoring and analytics to capture Agile BI value metrics, thereby supporting the understanding, recognition, and continuation of organizational change.

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      Design a practical data security framework for this era of accessible BI
  • Enabling AI, Machine Learning, and Data Science

    DataArt helps companies adopt machine learning (ML), predictive analytics, and Data Science to achieve their goals while ensuring data privacy, model explainability, regulatory and compliance requirements, and operational excellence.

    A key organizational barrier to enabling ML and Data Science is the lack of internal expertise and talent. DataArt fills this gap by providing short-term data science experts who can make sustainable, long-term changes by:

    • Selecting and adopting ML tools and data platforms
    • Designing and adopting a data science process that combines learning strategies with practical business case exploration and implementation

    Services

    To support the transition to Data Science, DataArt provides a range of consulting, data integration, and custom development services, including:

    AI Consulting

    • AI Envisioning workshops
    • Architecture design sessions, including Data Lakes and AI-infused solutions
    • AI PoC implementation
    • AI and Data Science project planning, consulting, and assessment

    Big Data & Integration

    • Data integration pipeline design and implementation
    • Text mining and natural language processing (NLP)
    • Custom and third-party model integration into an existing system/application
    • Data feed integration (data feeds, data APIs)
    • Data preparation and processing
    • Intelligent agent (chatbot) integration
    • Cloud-based AI/ML platform integration

    Custom Model Development and Data Science

    • Custom ML model creation & training
    • Custom DL model creation & training
    • Custom image processing
    • Custom NLP and text mining

    Custom Algorithms and System Development

    • Custom algorithm implementation
    • Custom data quality management solutions
    • Model deployment and operation
    • Custom intelligent agent (chatbot) and applications development
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