Big Data Services We Offer for Businesses
Data Management
Our data management services help you organize and store your data in a way that makes it easy to access and analyze. As a big data consulting company, we can help you design and implement a data management strategy that meets your needs.
BI & Analytics
As a big data solution provider, we offer BI & Analytics services that help you turn your data into actionable insights. We use advanced analytics techniques to uncover patterns, trends, and opportunities in your data and create interactive dashboards and reports that make it easy to understand and communicate your findings.
Data Science
Our data science services help you 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.
Data Operations (DataOps)
Our DataOps services help you automate and streamline your data operations, from data ingestion and processing to analytics and reporting. It ensures that your data is accurate, consistent, and up-to-date and that you can make decisions based on the latest information.
Artificial Intelligence & Machine Learning
Our AI & ML services help you leverage the power of machine learning to gain deeper insights into your data, automate processes, and improve decision-making. We use state-of-the-art algorithms and tools to develop customized AI-powered big data software that meets your needs.
Data Security and Privacy
Our data security and privacy services help you protect your data from unauthorized access, use, or disclosure. As a trusted big data consulting company, we can help you design and implement a data security and privacy strategy that meets regulatory requirements and industry best practices.
Our Big Data Processing
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.
Technologies and Tools We Use
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Business Intelligence (BI)
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Data Collection and ETL
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Warehouse, Storage and Management
MS PowerBI
IBM Cognos
Tableau
Google Looker
QuickSight
GCP DataFusion
AWS SageMaker
AWS Glue
GCP DataFlow
AirFlow
Azure Databricks
AWS Data Pipeline
MS SQL Server
MongoDB
Amazon Redshift
Google BigQuery
IBM DB2
Google Spaner
MySQL
PostgreSQL
Cassandra
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Business Intelligence (BI)
MS PowerBI
IBM Cognos
Tableau
Google Looker
QuickSight
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Data Collection and ETL
GCP DataFusion
AWS SageMaker
AWS Glue
GCP DataFlow
AirFlow
Azure Databricks
AWS Data Pipeline
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Warehouse, Storage and Management
MS SQL Server
MongoDB
Amazon Redshift
Google BigQuery
IBM DB2
Google Spaner
MySQL
PostgreSQL
Cassandra
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.
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Retail
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Manufacturing
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Agriculture
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Supply chain
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Transportation
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Marketing
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Financial Services
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Healthcare
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Government agencies
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MDM (Master Data Management)
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Retail
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.
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Manufacturing
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.
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Agriculture
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.
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Supply chain
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.
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Transportation
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.
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Marketing
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.
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Financial Services
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.
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Healthcare
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.
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Government agencies
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.
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MDM (Master Data Management)
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.
Advantages of Using Big Data for Your Business
Our Clients and Partners
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
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.
UI/UX Modernization Services
UI & UX Design consulting services team can help you conquer your modernization challenges with our proven methodology.
Legacy System Modernization
Legacy modernization services help deliver a seamless customer experience that drives higher revenues, improves productivity, and reduces cost.
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
Digicode
September 29, 2023
Digicode
September 12, 2023
Digicode
September 19, 2023
FAQ
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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.
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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.
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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.
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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.
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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.
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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.
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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.
