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Big Data Development Services

At InData Labs we build a data warehouse
adopt advanced analytics
develop big data applications
Big Data Engineers & Architects | Deep Expertise in AWS and Azure

Trusted by Innovative Companies

  • Big Data Development for Your Company

    Big Data Development for Your Company

    We provide insights-as-a-service: you get actionable business insights out of your data based on specific data pipelines designed to achieve your goals.
  • Big Data Consulting

    Big Data Consulting

    We review your business processes vs business goals set and offer the best way to digitize it. As a big data development service provider, we’ll make it data-driven and transparent in terms of decision-making. We’ll provide project assessment, design, implementation, testing, deployment, and support on-demand.
  • data engineering and architecture

    Data Infrastructure & Engineering

    Data Infrastructure & Engineering

    We’ll collect, clean and structure your data for analysis and visualisation. We’ll design a data pipeline with real-time data streaming, batch data streaming or lambda architecture, build data lakes and warehouses. Big data implementation services include data warehouse architecture consulting and development, implementation, advancement or migration.
  • data analysis

    Data Analytics

    Data Analytics

    We’ll arrange data lakes and warehouses for effective data storage, retrieval, and insights mining. We get raw data coming from businesses’ various sources. Considering business’s specifics, we clean and analyze data, and yet find new ways of using it to enhance the business’ value.
  • Data Visualization

    Data Visualization

    We visualise insights mined, so it’s easy-to-understand for the business’ owner. We agree on reports and dashboards, and develop a system to generate them based on data from data lakes and warehouses. Data visualisation is insightful and valuable for reshaping business strategy and improving its competitiveness on the market.
  • ai consulting services

    Artificial Intelligence

    Artificial Intelligence

    Based on the data, we build custom AI models that simplify decision-making. Outsourcing big data analysis to artificial intelligence, you prevent human error, improve business efficiency and cut costs.
Need big data app development?

How You Can Benefit from It

Our cross-functional team of data scientists, big data engineers, solution architectures and consultants provide big data consulting and big data development services to help you leverage your data and the latest AI technologies for business value and get the most out of your investment.
  • Strong ML team

    Better Insights into Customers

  • Increased Operational Efficiency

  • icon engineering

    Business Process Automation

  • advanced data analysis

    Data-Driven Product Innovation and Promotion

  • Reduced Costs

    Cut Costs from Smart Decision Making

  • ecommerce

    Improved Market Intelligence

Our Approach

  • 1. Business Challenge Review

    We analyze your business environment and domain specifics, performance, data sources, define the challenges and set up goals. Our team of skilled business analysts and engineers brainstorm to suggest to you the solutions that address your challenges and take your business to new heights.
  • 2. Data Collection and Preparation

    We aggregate data into representations adapted for storage and processing. Preparation includes standardization, missing values handling, outliers filtering and other operations, e.g. specific to textual/visual information.We collect business data and transform it into a form processable by available intelligent tools.
  • 3. Data Analysis

    To analyze data we use cutting-edge statistical methods, and various machine learning and data science algorithms. The insights we get during data analysis, help the business owner see roadblocks or unobvious things in the business process and get them improved promptly.
  • 4. Business Implementation

    We use data science tools and cloud platforms like AWS, Azure, Google Cloud. If the client prefers an on-premise solution, we’re ready to create a custom system based on Python Scientific and ML Stack and integrate it into the client's business infrastructure using tools (databases, containerization, web frameworks, etc.) appropriate for the use case.
Get the most of your data

Industries

See how big data software development services disrupt the industries. Get inspired to enhance yours.

Manufacturing: Better Operational Efficiency

Big data developers from InData Labs can help you harness your data for predictive maintenance or condition monitoring, warranty reserve estimation, workplace accident prevention, anomalous action detection, and supply chain optimization. Using big data development tools and services for manufacturing, it’s easy to forecast product demand and organize manufacturing planning for resource and capacity.

Agriculture: Precision Farming and Yields’ Profitability

InData Labs, a big data development company, provides tech services and solutions for field condition monitoring, crops monitoring AI, and precision agricultural decision-making. With big data solution services, farmers can gain insights on field irrigation, fertilization, pesticide prevention, etc. to achieve greater results.

Retail & E-commerce: Understanding the Customer through Analytics

Big data and mobile app development together with web custom solutions can help store owners leverage insights out of customers’ data (clicks, reactions, orders, bounce rate, abandoned carts, etc) and plan efficient targeting and cross channel marketing. Recommendation engines boost sales and enhance customer experience increasing customer ROI and lifetime value.

Healthcare: Disease Identification And Risk Satisfaction

Big data software development can help healthcare organizations in proactive health management. Predictive models based on the real-time patient data help assess risk patient profiles and help doctors with diagnosis. Patient triage optimization allows decreasing waiting time and risk of infection. Wth sentiment analysis the healthcare provider can track the patients’ satisfaction with the services provided.

FinTech: Risk Analytics and Regulation

Harness big data services for building effective customer-focus strategies, identifying high-risk client profiles, and detecting fraudulent financial activities and managing financial risks. Get insights out of data to forecast and assess ROI.

Logistics: Increased Operational Efficiency

We, as a big data service provider, develop custom solutions for efficient warehouse (tracking available items) and inventory management (understock and overstock prevention). Big Data analytics allow real-time fleet tracking for routing optimization and improving delivery times.

Data-driven logistics companies can save considerable costs, enhance operational efficiency and improve service level with AI and big data.

IoT: Business Insights Generation

Glean and structure data from your IoT devices for smart analytics. Reap value from your IoT data for decision-making and improving your practices. With the help of big data services, you can open new revenue opportunities.

Energy and Utilities: Energy Demand and Supply Analytics

Get strategic insights out of your data for smart and efficient use of energy. Forecast energy demand and prices with custom big data solutions.

Key benefits:

  • Power usage analytics
  • Seismic data processing
  • Carbon emissions and trading
  • Customer specific pricing
  • Smart grid management

Technologies & Tools

Our big data developers use the best available technologies and embrace new ones.
  • technology python
  • technology tensorflow
  • technology keras
  • technology scikit learn
  • logo-azure
  • technology spark
  • technology kafka

Certificates

We’re a team of specialists who have certifications for qualifying the skills, knowledge and expertise.

Why Work With InData Labs?

Here, at InData Labs, we always invest time and effort in finding the best suitable solutions for our customers’ needs and provide BI and data warehouse services
  • Savvy Data Science Team
    30+ members of the development team are ready to bring to the table years of production experience in big data projects to assist you in achieving a competitive edge.
  • Innovative Solutions
    We strive to find the most suitable, innovative, and cutting-edge technologies tailored to meet your specific business needs.
  • High-Quality Results
    Our big data development services help our clients improve overall performance, increase profitability, and gain a competitive edge.
Recent Big Data Transformation Projects at a Glance
IndustryProblem solvedInput DataOutcomeTech stackProject duration
Financial Industry Managing rewards points for the clients transactions Raw transactions data with PCI information being removed Amount of rewards points for every client in structured data EC2, Docker, S3, Glue, Redshift, QuickSight 1,5 years
Financial Industry Gift cards processing to keep track of statistics on money spent, amount of activated cards and major spending directions Raw transactions data with PCI information being removed Processed data with analysis and statistics for each type of cards Lambda, s3, Glue, Redshift, PowerBI 2 years
Financial Industry Solution for data ingestion and reporting (Financial reporting for banking) SharePoint lists, CSV data Processed data ready for analysis Azure: Data Factory, Spark / DataBricks, Scala, Azure DevOps 6 months
Aircraft Industry Processing the data from aircraft's engines to make predictions and analysis on their conditions and trends Raw full flight data Processed data with predictions and errors that can trigger the alarms SQS, S3, Step Functions, Glue, Redshift, DynamoDB, SageMaker, PowerBI 1,5 years
Automotive Smart factory Industry 4.0 solution for IoT and master data processing and reporting IoT streaming data (SCV, OPC), SAP Idocs, relational databases Lambda arch with hot notifications and cold analysis Azure: IoT Hub, SAP, AKS, CosmosDb, Data Explorer, PowerBI, Angular, Azure DevOps 1 year
Automotive Migration of huge monolith app to Azure (lift and shift / Containerization) IoT streaming data (MQTT), master data Application migration POC (no migration due to cost reasons (ORacle blocker) Azure: IoT Hub, AKS, VMs, Pricing calc, Oracle, PostgreSQL, Oracle Cloud -
Retail Implementation of cross-region reporting system for retail analysis Microsoft Dynamics Processed data, Microstragegy reports Azure: AKS, SQL, .NET, Synapse 3 years
Oil and Gas Digitalization and corporate data warehouse solution for corporation and compliance needs IoT, SharePoint, manual, SCV, Oracle Single point of truth for corporate data assets with the corresponding analytics apps SQL Server, Oracle, Kalido DW, PowerBI 5 years

Customer Success

Building Influencer Marketing Analytics Platform

The client is a platform that connects influencers and brands. They needed to enable real-time analytics and connect to different social media platforms. We suggested integration of our custom social media analytics solution into their platform.

As a result, we’ve enhanced the client’s platform with real-time social media analytics and insights gathering.

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Data Lakes for Big Data Processing and Visualization

The client is a construction company helping businesses manage their data. They wanted to improve their existing AI solution with accurate analytics. The challenge was to collect, analyze, process and visualize data.

The solution was to implement data lakes for efficient data processing and visualization. It’s accelerated decision making and increased efficiency.

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BI Implementation for Baby Care Mobile Application

The client develops apps for the baby care industry. We were challenged to simplify data collection and reporting. Our team gathered, analyzed, processed much of the data and decided to implement BI for effective data bottlenecks elimination.

Our solution has improved the client’s app adding better reporting functionality and greater customer experience.

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