Big Data Services

As a big data services company, we help businesses turn complex data into competitive advantages. From big data collection and management to predictive analytics and real-time intelligence, our big data services enable businesses to drive smarter decision-making, optimize operations, and innovate better.
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Big Data Services for Smarter Business Decisions

From big data consulting to implementation to analytics, we offer end-to-end big data services to help businesses unlock value, reduce risks, and drive data-driven growth.

Big Data Consulting

Leverage our big data consulting services to connect with our data engineers to assess your current data landscape, identify best-fit use cases, get technology stack recommendations (from Apache Hadoop, Apache Spark, Apache Kafka, etc.), and build scalable big data strategies that offer better ROI.

Big Data Management Services

We help enterprises manage the end-to-end big data lifecycle with ingestion, storage (with data lake architecture and data warehousing), retention, and archival. This service also includes master data management, data quality management, data lineage and auditing, and data security and access control to ensure your data is clean, organized, accessible, and governed across all systems and teams.

Data Integration Services

We help businesses connect and consolidate data from a wide range of sources, including APIs, legacy systems, modern SaaS solutions, and IoT devices, through our big data integration services. This ensures that businesses get real-time data flow into data lakes or warehouses - here, our data engineering services can help a lot.

Big Data Analytics & BI Services

Utilizing data analytics services, we help businesses prepare and process big data (whether structured, semi-structured, or unstructured) to enable advanced analytics. Further, we integrate BI tools like Power BI, Tableau, Looker, or others with big data platforms to deliver BI solutions and data visualization solutions.

Big Data Architecture & Platform Setup

Get expert help setting up a big data foundation that can handle high-volume, high-velocity data processing. For this, our experts help you set up cloud-based data clusters, deploy big data ecosystems (Apache Hadoop/Spark/Kafka), create a data lake or lakehouse, and optimize data storage (NoSQL, S3, etc.).

Real-time Data Processing & Streaming

We enable high-velocity insights for businesses. For this, our process includes event stream processing with Apache Kafka and Spark Streaming, stream data ingestion, transformation, and routing. Businesses can further use this data to enable fraud detection through data science solutions and real-time recommendations through data analytics processes.

Data Modernization & Migration

Our legacy system modernization services include data modernization and migration strategies tailored to your business needs. It’ll help you move from outdated architectures to scalable, big data platforms built for speed, agility, and growth. We also leverage cloud engineering solutions to re-platform legacy systems and unlock advanced analytics and machine learning use cases.

Managed Big Data Services

Through managed big data services, we handle platform upgrades, monitoring, troubleshooting, and tuning so your systems run smoothly around the clock. We also integrate DevOps solutions within it to automate operations to ensure peak performance of your systems 24/7 and 99.99% uptime.
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Speak with our data engineers to analyze your data sources and create the right strategies to build systems that unlock your business potential.

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Big Data Solutions We Offer to Optimize Your Business Operations

Take a look at how our enterprise big data services and solutions help you leverage massive data for advanced business processes.
Personalization & Hyperpersonalization Engine
Leverage our big data and analytics services to build a system that utilizes customer behaviors and their preferences and interactions to personalize customer experiences across marketing, sales, and product in real time.
Customer Experience Optimization
Leveraging big data solutions with AI/ML services, we build advanced systems (AI agents, Agentic AI solutions). These solutions help businesses analyze customer journeys, feedback, and support interactions to enhance satisfaction, reduce churn, and build lasting loyalty.
Trend Analysis & Opportunity Spotting
Our big data services help businesses identify emerging patterns in consumer behavior, market dynamics, and operational data to make proactive, insight-led decisions.
Risk Assessment & Mitigation System
We integrate big data solutions with digital solutions that monitor data signals in real time and leverage predictive modeling built using ML development services to detect potential risks across financial, operational, and strategic areas.
Real-Time Fraud Detection Systems
Utilizing big data integration services, we integrate advanced data systems with your software product solutions. These systems enable them to perform anomaly detection, pattern recognition, and real-time monitoring to identify fraudulent activity across transactions, access, and behavior.
Supply Chain Optimization
Leveraging our expertise in working for transportation and logistics software development with big data services, we help you leverage data to analyze data from suppliers, logistics, and market trends to enhance efficiency, reduce costs, and improve delivery times.
Finance Intelligence & Management
Utilizing our expertise in big data services, we help you integrate data systems with your financial systems to analyze financial data at scale to improve budgeting, cost control, cash flow management, and compliance monitoring.
Real-Time Inventory Management
We help businesses leverage big data to implement systems that provide real-time visibility into inventory levels, aiding in demand forecasting and stock optimization.
Smart City Initiatives
We club big data services with digital twin solutions to help businesses enhance urban planning, traffic management, and public services to build more efficient and livable cities.
Performance Monitoring & Optimization
We help you integrate big data systems within your custom ERP solutions to track and analyze KPIs across business units to identify performance bottlenecks and enhance operational efficiency.

Latest Big Data Solutions We’ve Delivered

Discover how our big data services are helping organizations across industries unlock new growth opportunities.
Navatech
Dedicated Development Team Data Science AI & ML
71% Increase on-site safety awareness
65% Increased worker collaboration
59% Reduced hazardous events and accidents
20% Reduction in on-site accidents
Created Construction Safety Copilot That Got NEOM Partnership $3M Funds

We partnered with Navatech to build an AI-powered WhatsApp Safety Copilot for construction sites, enhancing real-time hazard detection, multilingual alerts, and compliance that's reducing accidents by 20% and securing global expansio

Paint a i
UI/UX Design Mobile App Development Data & AI/ML
99% Object Recognition Accuracy
95% Accuracy for Paint.AI
97% Accuracy for Mobile AI
100K+ App downloads
AI-Powered Color Visualization Solution

In collaboration with a globally recognized AI innovator backed by $3M in funding from Stanford Research Institute, we delivered a robust data engineering solution to fuel an AI color visualization tool to be smarter, enabling users to virtually experiment with paint colors and textures on their real estate properties.

Athlete management platform
Legacy System Modernization Robotics Process Automation Cloud Engineering
98% HIPAA compliance achieved
98.5% GDPR compliance achieved
70% Reduction in claim processing time
100% Adoption rate
Athlete Management Platform

We built a data-driven athlete management platform to help coaches and teams track performance, manage schedules, analyze player health using real-time insights, and ultimately streamline decision-making through powerful data architecture.

Looking to re-imagine your business operations?

Whether you're looking to develop a digital solution from scratch, scale your current offerings, or fully modernize your system, we are here to help.

Tech Stack We Follow For Big Data Services

As a big data services company, we follow cutting-edge tools and technologies to leverage data for better decision-making and smart outcomes.
Data Ingestion & Streaming
  • Apache Kafka
  • Apache Flume
  • Apache NiFi
  • AWS Kinesis
  • Google Cloud Pub/Sub
  • Logstash
  • Sqoop
Data Storage & Lakehouse Platforms
  • Apache Hadoop HDFS
  • Amazon S3
  • Azure Data Lake Storage
  • Google Cloud Storage
  • Delta Lake
  • Apache Hudi
  • Apache Iceberg
Data Processing & Computation
  • Apache Spark
  • Apache Hive
  • Apache Flink
  • Apache Storm
  • Databricks
  • Google Dataflow
  • Presto
  • Trino
Data Integration & ETL/ELT Tools
  • Talend
  • Apache Airflow
  • Informatica
  • Matillion
  • Fivetran
  • dbt (Data Build Tool)
  • Azure Data Factory
Cloud Platforms
  • AWS
  • Google Cloud
  • Azure
  • Digital Ocean
Data Analytics
  • Snowflake
  • Databricks
  • Apache Spark
  • Apache Airflow
  • docker
  • PySpark
  • Grafana Labs
  • Datadog
  • Gemini
  • Apache Kafka
  • PubSub
Business Intelligence & Visualization
  • Tableau
  • Looker
  • Power BI
AI/ML Integration
  • TensorFlow
  • PyTorch
  • scikit-learn
  • MLflow
  • Kubeflow
  • AWS SageMaker
  • Vertex AI

Big Data Solutions Across Industries

Check out how we incorporate the advantages of big data and analytics services in operations of different industries:
Healthcare

We help healthcare organizations leverage big data services to achieve predictive patient care, manage population health, accelerate medical research and drug development, reduce readmissions, minimize unnecessary spending, and drive the highest budget for patient care and research.

Finance

With experience in working on various finance products, we help financial institutions leverage big data services to lower fraud losses, increase customer lifetime value, accelerate trade execution, and optimize tax reform processes.

Education

Delivering our big data analysis expertise, we help educational institutions to analyze student data to identify at-risk students, reduce dropout rates, personalize learning paths, optimize curriculum, transform assessment systems, and achieve better institutional ROI.

Real Estate

By offering our big data services, we help real estate businesses achieve improved ROI on properties, faster deal closures, smarter urban planning, and enhanced tenant satisfaction ratio.

Sports

By deploying our big data solutions, we enable sports teams and organizations to achieve boosted team performance, increased fan experiences and loyalty, higher revenue per fan, and streamlined venue operations.

Retail

Leveraging our big data expertise, we help retail & e-commerce businesses achieve increased revenue, reduced inventory costs, higher customer retention, and maximized marketing ROI.

Fitness

We help fitness businesses to integrate big data systems within their fitness applications that analyze workout patterns, body metrics, and dietary habits to deliver personalized training and nutrition plans, improve training effectiveness, and increase member lifetime value.

Transport and Logistics

Our enterprise big data solutions for transportation and logistics businesses enable them to achieve lower logistics costs, improve delivery speed, reduce downtime, and enhance customer satisfaction through route optimization and demand forecasting enablement.

Why Choose MindInventory as Your Ideal Big Data Services Company?

Still confused on why you should choose MindInventory as your top big data services company? As a Google Cloud and AWS partner, MindInventory helps businesses make the most of big data assets to improve their performance and grow better. Below, we have mentioned key business impacts that allure our customers to get big data services from us only:
Our big data services enable businesses to achieve process automation and waste reduction and identify performance bottlenecks across departments, leading to savings in time, cost, and resources.
We build big data systems that help businesses better understand their customers and deliver them personalized experiences by providing analysis of customer behavior, feedback, and preferences across touchpoints.
By providing enterprise big data solutions, we enable organizations to leverage data-driven insights, which helps them innovate faster, predict market shifts, and optimize performance, ultimately gaining an edge over competitors.
Through big data services, we also provide predictive analytics and real-time monitoring solutions to businesses, helping them proactively manage financial, operational, and compliance-related risks.
As our unique value proposition (UVP), we fuel AI/ML models with big data, enabling them to learn and evolve better. These models further enable businesses to innovate better through automation, predictive systems, and smart software product development.
We provide modern big data software development services to deliver solutions that enable scalable, AI-driven analytics and real-time adaptability to shifting business priorities or market trends.

About Us

Crafting cutting-edge digital solutions with creative minds
Who We Are
A Mindful team of tech innovators bringing world-class tech ideas to reality. We embrace the power of technology to provide cutting-edge digital solutions that propel our clients toward unprecedented success.
What Drives Us?
Creativity is our heartbeat. We constantly challenge ourselves to further our technical prowess and help our customers to deliver exceptional customer experience.
Years of Expertise

14+

Contries Served

40+

Tech Experts On-board

250+

Happy Clients

1600+

Projects Delivered

2500+

Trusted By 1600+ Happy Clients, Including Fortune Companies

Our Achievements

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4.6 4.6/5 Star Rating

Top IT services company

GoodFirms Logo
4.7 4.7/5 Star Rating

Top mobile app development company

DesignRush Logo
4.8 4.8/5 Star Rating

Top mobile app development company

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5.0 5/5 Star Rating

Top mobile developers

Frequently Asked Questions

Explore common queries our customers bring to us when choosing MindInventory as one of the best big data services providers.

Your business can benefit from predictive analytics, trend and opportunity identification, and risk mitigation, which further help in informed strategic planning and decision-making to enhance customer experiences and optimize operations.

Apache Hadoop, Apache Spark, Apache Kafka, NoSQL databases, and cloud platforms like AWS, Azure, and Google Cloud are the most common technologies that our big data engineers use for distributed storage, real-time data processing, and scalable, cloud-based data analytics services.

Traditional data processing techniques can only handle structured data in limited volumes (mainly relational databases). Big data services, on the other hand, are capable of managing large, diverse datasets (structured, semi-structured, and unstructured) through distributed computing and advanced analytics techniques.

You can start implementing big data services with this step-by-step process:

Step 1: Assess your business needs and data infrastructure

Step 2: Search for the best big data service providers and pick the best

Step 3: Select appropriate technologies

Step 4: Implement big data solutions that align with your objectives.

Improved scalability, cost reduction by 30-40%, and integration opportunities with AI/ML solutions for predictive insights are the major benefits of big data modernization using cloud-native tools (e.g., Apache Hadoop to Databricks).

Yes! We use tools like Apache NiFi and many others to seamlessly integrate big data platforms with your existing digital business systems.

You can expect the cost of big data services to be in a range of $10,000 to $200,000 or more, depending on project scope, data volume, and technology stack. Here’s a general breakdown:

  • Basic implementation, covering data ingestion, storage setup, and basic analytics, can cost around $10,000-$50,000+ for cloud-based data lakes.
  • Mid-range implementation (for enterprise scalability) covering custom dashboards, predictive modelling, and BI integration can cost around $50,000-$200,000+ (end-to-end enterprise big data solutions)
  • AI-driven analytics covering AI/ML integration, hyper-personalization engines, or IoT data pipelines can cost around $200,000+.

A successful big data strategy follows this 6-step framework:

Step 1: Define business goals

Step 2: Assess data maturity

Step 3: Choose the right tech stack

Step 4: Build scalable architecture

Step 5: Implement governance & security

Step 6: Measure & iterate

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