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    Big Data Services We Offer for Businesses

    As a leading big data service provider, Digicode offers a comprehensive big data solution to help businesses manage, analyze, and secure their data. Digicode provides a range of services, including big data development, big data consulting services, and other related offerings.

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    Data Management

    With our comprehensive data management services, we assist you in efficiently arranging and securely storing your data for seamless accessibility and analysis. As a big data consulting company, we possess the expertise to assist you in devising and executing a tailored data management strategy that aligns perfectly with your requirements.

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    Data Operations (DataOps)

    Our DataOps services help you automate and streamline your data operations, from data ingestion and processing to analytics and reporting. By prioritizing accuracy, consistency, and real-time updates, our services guarantee that your data is up-to-date and enable informed decision-making using the most current information.

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    BI & Analytics

    Being a provider of big data solutions, we extend our expertise in Business Intelligence (BI) and Analytics services, enabling you to transform your data into valuable and actionable insights. We use advanced analytics techniques to uncover patterns, trends, and opportunities in your data and create interactive dashboards and reports.

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    Artificial Intelligence & Machine Learning

    With our AI & ML services, you can harness the capabilities of machine learning to unlock profound insights from your data, automate workflows, and enhance the quality of decision-making. We use state-of-the-art algorithms and tools to develop customized AI-powered big data software that meets your needs.

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    Data Science

    Digicode data science services provide you to apply statistical and machine learning techniques to solve complex business problems. Our big data developers use data-driven approaches to model your data, develop predictive models, and generate insights that can help you optimize your operations and drive growth.

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    Data Security and Privacy

    We prioritize securing your valuable data through our privacy services to protect your data from unauthorized access, use, or disclosure. As a reliable and esteemed big data consulting company, we guide you in crafting and executing a data security and privacy strategy that complies with regulatory requirements and aligns seamlessly with industry-leading best practices.

    Our Big Data Processing

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    Data Extraction

    Commencing a big data project involves f identifying pertinent data sources, encompassing both structured and unstructured data derived from diverse systems, sensors, social media, and other digital platforms. Following this, we proceed to extract the data and accurately prepare it to ensure it’s ready for further processing and analysis.

    Data Transformation

    We undertake the crucial task of data transformation to ensure its compatibility with the desired format for analysis. This process encompasses vital steps such as data cleaning, integration, and enrichment, all aimed at elevating the quality and utility of the data, resulting in improved insights and usability.

    Data Loading

    The next step is loading it into a powerful big data platform that facilitates seamless accessibility and analysis. This platform is purpose-built to handle these volumes of data, offering exceptional scalability and availability for your needs. With the aid of cutting-edge big data technology, we ensure that your data is efficiently managed and readily accessible for comprehensive analysis.

    Data Visualization/BI Analytics

    Then our big data experts can start analyzing and visualizing it. Big data as a service (BDaaS) includes advanced visualization tools and business intelligence platforms, enabling our clients to gain insights from their data and make data-driven decisions.

    Machine Learning Application

    We also apply machine learning algorithms to the data, which allows us to discover patterns and relationships that may not be apparent through traditional analysis methods. Our machine learning models are designed to continuously learn from new data, providing ongoing big data analysis.

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    Revolutionize Your Business with Our Big Data Services

    Digicode is a leading big data service provider. From predictive analytics to data visualization, we offer a comprehensive suite of big data products to help you make data-driven decisions and drive growth.

    Let’s talk!

    Our services have been helping businesses with amazing success stories

    $ 300M+
    Raised by clients
    50+
    Industries
    250+
    Projects

    Technologies and Tools We Use

    Industries

    Retail companies use big data services to collect, clean, and process large amounts of data to understand customer behavior better, optimize supply chain operations, and personalize marketing campaigns.

    Within the retail domain, organizations heavily depend on robust and sophisticated data engineering services to efficiently acquire, thoroughly cleanse, and process vast quantities of data.

    By leveraging advanced data engineering techniques, retail enterprises can unlock a wealth of actionable intelligence, optimize their operational strategies, and foster meaningful connections with their customer base, resulting in heightened business performance and sustainable growth engagement.

    We work closely with the manufacturing sector, utilizing data-driven insights to streamline operations, improve efficiency, and elevate product quality, empowering manufacturers to make informed decisions and drive innovation.

    Leveraging data analysis techniques to facilitate precision farming, optimize yield, and enhance crop management, enabling farmers to maximize productivity and sustainability.

    Optimizing logistics, inventory management, and demand forecasting, enabling businesses to enhance operational efficiency, reduce costs, and precisely meet customer demands.

    Contributes to optimizing routes, improving fleet management, and enhancing overall transportation logistics, ensuring timely and efficient delivery of goods and services.

    Enables businesses to gain actionable insights, personalize campaigns, and enhance customer targeting and engagement, resulting in improved marketing effectiveness and customer satisfaction.

    Support risk assessment, fraud detection, and personalized financial recommendations for customers, enabling them to make informed decisions and enhance overall financial well-being.

    Focused on improving patient care, optimizing operations, and enabling data-driven research and diagnostics, ultimately leading to enhanced healthcare outcomes and efficiency.

    Data analysis capabilities to aid in policy-making, enhance public services, and improve decision-making processes, contributing to efficient governance and citizen welfare.

    Ensuring data integrity, consistency, and quality across various systems and platforms, enabling businesses to have reliable and accurate data for informed decision-making and streamlined operations.

    • Retail

    • Manufacturing

    • Agriculture

    • Supply chain

    • Transportation

    • Marketing

    • Financial Services

    • Healthcare

    • Government agencies

    • MDM (Master Data Management)

    Advantages of Using Big Data for Your Business

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      Cost Optimization.

      Big data solution can help reduce costs and pricing by identifying areas for improvement in operations, processes, and resource allocation.
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      Improved Business Operations.

      Businesses can streamline operations and increase efficiency by improving processes using big data as a service.
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      Data-Driven Innovation.

      Big data technology can reveal new insights and opportunities for innovation, allowing businesses to develop new products, services, and business models.
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      Better Decision Making.

      Big data platform enables more informed and data-driven decision-making, leading to better outcomes and increased competitive advantage.
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      Improved Safety And Resilience.

      With a big data services company by its side, business can identify and mitigate risks, anticipate potential disruptions, and improve security and stability.

    Our Clients and Partners

    omio
    BlaBlaCar
    WOG
    OffrBox Logo
    KLO Logo
    Ringo Logo
    wint
    Treedom logo
    is part of SAP
    eSilkroad
    RJ Metrics
    Revitalize
    Glam ON Logo
    NaturalHealth
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    grad guru
    Broker Map Logo
    weareowners
    uadrotech
    Finalogic
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    moflix
    kargo
    flyion
    Borjomi
    SB Tech
    Kery app
    The Economist
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    Mogu
    Dominos_pizza_logo
    RMV
    cisco
    mesh
    bosch
    allre
    rapid one
    wherefor
    TransparencyCentral
    red diamond medicine

    Why Digicode is the Optimal Choice for Big Data as a Service

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      Our big data developers have extensive experience working with various big data cloud platforms, open-source technologies, and the complete big data technology stack

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      We hold extensive certifications in leading big data technologies such as GCP and Microsoft

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      We offer industry-specific big data consulting services tailored to each client’s unique needs

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      Our data strategy incorporates cutting-edge technologies such as AI and ML to deliver optimal results

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      As a reliable vendor of big data development solutions, we follow the highest industry standards for data security, including NDA agreements, secured device policies, and role-based access permissions

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      Our big data experts have a data-driven and analytical mindset to deliver actionable insights

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      We can help you bring your product to market 30% faster than traditional methods

    What Our Clients Say

    Allied Services

    Legacy System Modernization

    Tech Modernization Consulting

    Our modernization experts can consult you, helping you discover new opportunities through the implementation of new business models, improved productivity, usability and efficiency, and global distribution.

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    UI/UX Modernization Services

    UI & UX Design consulting services team can help you conquer your modernization challenges with our proven methodology.

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    Legacy System Modernization

    Legacy modernization services help deliver a seamless customer experience that drives higher revenues, improves productivity, and reduces cost.

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    Software Re-engineering

    We help upgrade and redesign your existing software to match the latest technology trends and ensure easy use, flexibility, and adaptability.

    Portfolio

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    FAQ

    • What is big data development?

      Big data development is designing, implementing, and maintaining software applications that process and analyze large and complex data sets. It involves using technologies and frameworks capable of handling massive amounts of data, such as Hadoop, Apache Spark, and NoSQL databases.

    • What are the 3 types of big data?

      The three types of big data are structured, semi-structured, and unstructured data. Structured data refers to well-organized and easily searchable data, such as data stored in relational databases. Semi-structured data refers to data with some structure that needs to be fully organized, such as stored in XML or JSON formats. Finally, unstructured data refers to data with no structure and is difficult to search and analyze, such as data stored in videos, images, or social media posts.

    • How can an IT company use big data software?

      IT companies can use big data software in various ways, including improving customer experience, optimizing business processes, and gaining valuable insights into their operations. For example, they can analyze customer data to identify patterns and preferences, monitor network and system performance to prevent downtime and use predictive analytics to make data-driven decisions.

    • How much do big data consulting services cost?

      The cost of implementing a big data solution can vary widely depending on the size and complexity of the project, as well as the technologies and tools used. However, it generally involves a significant investment in hardware, software, and skilled personnel. As a result, companies can choose to either build their infrastructure or use cloud-based services, which may be more cost-effective.

    • How long will big data development take?

      The timeline for a big data project can also vary widely depending on the scope and complexity of the project. For example, small tasks can be completed in a few weeks or months, while large-scale implementations may take years. Therefore, it is important to have a clear plan and timeline before starting a big data project.

    • What are the benefits of big data development?

      A big data solution сan benefit businesses, including improved decision-making, better customer insights, increased operational efficiency, and reduced costs. By analyzing large and complex data sets, companies can gain valuable insights into their operations and make data-driven decisions leading to increased profitability and growth.

    • How to choose a reliable big data service provider?

      Businesses should consider factors such as experience, expertise, certifications, and customer reviews to choose a reliable big data service provider. It is also essential to evaluate the provider’s data security measures, data privacy policies, and service-level agreements to ensure the data is safe and secure. Businesses should also pick a big data services company offering scalable solutions and flexible pricing models to meet their needs.