Big Data Development
Services
SysGears provides data engineering services, helping companies across industries turn their business data into actionable insights. Our big data developers can build an application from the ground up or empower your existing software with advanced analytics capabilities.
Maximize your data ROI, make informed decisions, and enhance strategic planning with our big data software development services.
A term big data denotes massive amounts of structured, unstructured, and semistructured data from countless sources. Here are a couple of examples:
- Social media data: user’s interactions with SM platforms, web, and mobile products
- Medical data: electronic health records, wearables, medical imaging
- Machine data: sensors, meters, IoT devices
- Transactions data: bank transactions, purchase history
- Public data: weather data, census statistics
Big data is indeed too “big” to be analyzed with traditional data processing tools. This is when our big data application development services step in. We implement systems that help you get meaningful insights from internal and external data, generating measurable business value and kicking your strategy into high gear.
Big Data Development Services We Provide
Big Data Consulting
We provide big data consulting services to help you develop or enhance your big data analytics solution, catering to your company’s business needs. Our big data experts can help choose suitable tools, identify operational inefficiencies, and deliver a detailed project implementation roadmap, considering your budget, goals, and regulatory requirements applicable to your domain. Together, we will make your data work for your business.
Big Data Software Development
As part of our web development and Scala development services, we build full-fledged big data applications, covering business analysis, architecture design, software implementation, quality assurance, and post-release maintenance. Our software engineers leverage an extensive big data technology stack to build fast data processing systems that power informed decision-making and enhance business productivity. We focus on your business goals throughout all software development stages to maximize the return on your data analytics investments.
Big Data Infrastructure and Engineering
We build scalable and fault-tolerant systems for big data management, storing, and analysis, ensuring accessibility, security, and full alignment with your business needs. We implement robust data ingestion pipelines to organize your data in data lakes, warehouses, or lakehouses enabling advanced analytics, business intelligence, and reporting. We translate your high-level business requirements into efficient technical decisions, ensuring our software meets your strategic objectives, accommodates your future growth, and offers a competitive advantage.
Big Data Visualization
A visual presentation of data analytics results can be an essential part of big data software. We empower your software with big data visualization features that turn numerical data from warehouses and lakehouses into dashboards, charts, and infographics, revealing patterns and trends that might go unnoticed in tabular format. A well-designed data visualization often facilitates better team and customer communication, uncovers inevident risks, and supports faster, more accurate decision-making.
Big Data Integration
Our team provides big data integration services to empower your company’s IT ecosystem with analytics capabilities. Our specialists can build big data integration software that ingests and unifies information from different sources (e.g., customer data from CRM and sales data from ERP) and processes it in accordance with the task set by the user. Data analytics integration offers virtually unlimited capabilities, from detecting fraud to creating product or service recommendations.
AI Solution Development
While big data tools collect and process your data, AI puts it into action. Using AI for data analysis allows you to interpret petabytes of data and make credible predictions in a matter of minutes. SysGears develops AI-powered analytics software for consumer behavior analysis, sentiment analysis, predictive maintenance, and other activities supporting your company’s strategic decisions. Similarly, we can build AI-enabled solutions that support big data lifecycle, including data aggregation, storage, analysis, and interpretation.
Industries That Benefit From Our Big Data Development Services
Healthcare professionals use predictive analytics to process vast sets of clinical, biometric, genomic, and other patient-related data, which enables them to create more accurate treatment plans, increase diagnostic precision, and improve patients’ quality of life. By leveraging big data for healthcare, medical institutions can optimize hospital operations on all levels: prognose patient admissions, reduce queues, and improve inventory management.
If you need to develop reliable big data software to improve medical decision-making on strategic, tactical, and operational levels, SysGears comes to help you.
Using big data in finance helps companies fine-tune customer segmentation and create tailored service packages, which enhance personalization and outreach. Big data proves to be a solid backbone for backtesting, enabling analysts to configure trading strategies and subsequently evaluate their viability.
Relying on extensive industry experience and a rich big data tech stack, SysGears delivers fintech analytics solutions with security and innovation at its core.
By employing big data in logistics, businesses can develop smarter transportation routes based on weather, traffic, and shipment information. Data from inventory systems and sensors helps companies track stock levels and forecast order patterns during peak and off-peak seasons. Big data analytics in transportation improves capacity planning, reducing the risk of errors and improving logistics efficiency.
If you seek to avoid extra logistics costs and deliver outstanding customer service, SysGears will build big data infrastructure tailored to the individual needs of your transportation company.
Smart grid analytics allows utility companies to forecast peak demand times and monitor equipment, ensuring uninterrupted power supply and longer asset lifespan. A combination of data analytics and AI empowers data-driven theft detection: by bringing together billing information and energy usage patterns, big data software spots anomalies and alerts companies on possible fraud.
With big data development services by SysGears, you can turn your data into a literally powerful tool. Our team ensures the software’s longevity, durability, and compliance with energy industry regulations.
Real-time and historical data on product or network performance, coupled with information on usage patterns, enable telcos to refine their service offerings and reduce subscription churn. By combining data science and AI, telecom operators can recognize common fraud patterns and immediately report suspicious network activities, increasing customer safety and trust.
If you need to enhance your telecom IT infrastructure with big data capabilities, our software development professionals can strengthen your in-house team to improve productivity and save resources.
By analyzing vast amounts of customer data, businesses can improve ad targeting and create hyperpersonalized content based on search and purchase history, previous interactions, and preferences. Big data empowers competitor analysis and marketing research, helping digital marketers quickly adjust their sales strategies to emerging trends and make data-driven campaign enhancements.
If you seek to empower your marketing efforts with big data processing infrastructure, our engineering team SysGears team will deliver it for you.
Manufacturers can identify bottlenecks in production processes by collecting and interpreting data from IoT sensors, which allows them to improve product quality and ensure smoother delivery. With the help of big data services for manufacturing, manufacturers can sharpen demand forecasting and inventory planning, driving resource optimization and cost reduction.
At SysGears, we can build robust data processing software big data to help you unlock the potential of your manufacturing data.
By gathering and analyzing climate data through specialized software, farmers can choose appropriate cultures to plant, estimate crop sowing and harvesting dates, and adjust watering and fertilizing activities to maximize yields. Crop and livestock analytics allows farmers to take preventive measures for crop and cattle health, reduce potential food waste, and mitigate environmental impact.
If you want to eliminate guesswork from your farming activities, partner with SysGears, a trusted big data software development company, to improve precision and achieve more.
Big data analytics proves to be especially useful for wholesale and retail companies that seek to research their customer preferences and make data-driven decisions on stock optimization, price formation, and marketing campaign planning. Big data applications gather and analyze terabytes of transaction, social media, browsing, geolocation, and other customer and market-related data, enabling businesses to segment customers, predict churn, and better navigate market dynamics.
Our big data experts can build robust big data infrastructure for your ecommerce business, optimizing your resources and giving you a competitive edge.
How Your Business Can Benefit From Big Data Development
Improve Service Personalization
The McKinsey research shows that 71% of consumers expect personalized interactions from companies, and 76% get disappointed when this does not happen. Moreover, a personal touch contributes to the continuous interaction with a brand: the clients tend to recommend and buy again from companies that personalize. Big data analytics software helps businesses create hyperpersonalized offerings targeted at the right customer segment at the right place and time. For instance, Netflix analyzes data on customer interaction with a platform and creates tailored content, boosting retention rates by up to 90% and saving up to $1 billion annually.
Optimize Costs
According to the BARC study, organizations that have already adopted big data technologies report up to a 10% reduction in operational costs and an 8% revenue increase. Big data analytics tools and technologies help companies forecast demand, predict potential financial risks, and streamline reporting, preventing extra costs and opening new revenue opportunities. Big data solutions facilitate faster and more efficient fraud detection in insurance, healthcare, telecom, and ecommerce industries, mitigating losses and reinforcing customer trust. For example, American Express reduced the number of fraudulent transactions by 60% with the help of the custom big data software solution.
Fuel Strategic Decisions
As per research by Deloitte, data-driven companies outpace their competitors and are 23 times more likely to win new clients. Data analytics underpins strategic business development, including product innovation, customer experience management, marketing campaigns, and investment planning. To illustrate, Starbucks utilizes big data for real estate decisions: the company analyzes traffic patterns, population density, and average income to find a perfect store location.
Automate Internal Workflows
Big data infrastructure allows businesses to replace manual activities with algorithms that automate data selection, collection, and sorting for smarter inventory planning, demand forecasting, and other core business operations. Big data applications reduce the chance of human errors, enhance data integrity, and facilitate centralized data access within an organization. A great example is a data analytics platform developed by SysGears for a HealthTech company. Our solution reduced manual entry by 40%, improved patient engagement by 20%, and cut operational costs by 20%.
More than 350 clients worldwide trust SysGears. Become one of them!
Why Choose SysGears As Your Big Data Development Partner
Rich Big Data Expertise
SysGears has successfully implemented big data software projects for enterprises across industries, including healthcare, logistics, and ecommerce. Our JavaScript and Scala developers leverage a rich big data tech stack to build fast and fault-tolerant data processing solutions that implement your business objectives in the most efficient way.
Robust Architecture Design
SysGears builds coherent and consistent architecture to ensure your software serves your business for many years. We take into account scalability, extensibility, and security requirements during all software development stages, making your solution maintainable, cost-efficient, and adaptable to your business growth.
Strong Business Focus
We dedicate our best effort to creating tangible business value through big data software development services. Bringing together technical prowess, business savvy, and commitment to quality, our big data development team makes sure your software effectively supports your processes and gives your company a competitive advantage.
Flexible Collaboration Models
We offer end-to-end big data application development services, accompanying the entire software implementation lifecycle, including architecture design, database model and data processing pipeline development, software implementation, testing, and ongoing maintenance. If you need to cover a certain aspect of your software development project (e.g., frontend development, design, or testing), we can outsource our dedicated team or outstaff an expert to fill the skill gap. SysGears ensures transparent communication, culture fit, and time-zone alignment.
Client Success Stories
Big Data Software for Dental Facilities
Big Data
Healthcare
Big Data Software for Dental Facilities
SysGears participated in developing a solution that measures dental clinics’ profitability and identifies revenue leakage by analyzing their CRM data. Our highly skilled developers ensured a resilient software architecture and used a cutting-edge big data stack to make data processing fast and efficient. Aside from software development, SysGears provided technology consulting services and covered the tech leading.
Smart Mobility Platform Development
SysGears participated in developing a smart mobility platform that analyzes data from IoT devices, enabling vehicle identification, real-time traffic monitoring, environmental metrics tracking, and more. Our team worked on the solution’s microservice architecture, enhancing data processing speed and efficiency. Our developers implemented scalable data processing pipelines to handle the large volumes of data from IoT devices. We provided the possibility of integrating the platform with third-party systems and enabled safe data export and synchronization, ensuring data security and integrity.
B2B
IoT
Our Clients Say It Best
“As our organization has grown over the years, SysGears has remained an invaluable Partner to Sestra, providing the right type of expertise to our rapidly expanding solution and customer base.”
Ben Maphis
VP Engineering, Sestra Systems
5.0
“Thanks to SysGears, we successfully launched our apps on the Apple and Google app stores. SysGears provided us with quality design suggestions, improving the usability of our product.”
Tom Setzer
CTO, TotalSDS
5.0
“Thanks to the efforts of the SysGears team, the company was able to launch a minimal viable product at the deadline. The team’s technological expertise played a big role in the success of the project.”
Jennifer Harding
Director of Interoperability & Integration, Crisis Logic
Hire our expert big data developers to drive your business forward!
We Are An Acclaimed Big Data Development Company
Clutch
Top Scala
Developers
Aciety
Mobile Devices
Development
Upwork
100% Job Success
Aciety
Cloud Computing
Development
Upwork
Top Rated Plus
Aciety
System Architecture
Development
Our Big Data Technology Stack
Programming languages
Scala
Java
Python
JavaScript
TypeScript
Databases
MS SQL
PostgreSQL
MySQL
Cassandra
MongoDB
HBase
Neo4j
Redis
Hadoop
S3
Queues
Kafka
RabbitMQ
SQS
SNS
EventBus
PubSub
Platforms
Apache MESOS
Databricks
Pentaho
AWS & GCP data solutions
ELK stack
Apache Spark
Apache Airflow
Akka
Pekko
Pandas
Modin
Cloud platforms and tools
AWS Kinesis
AWS Glue
AWS OpenSearch
AWS S3
AWS RDS
GCP BigQuery
GCP CloudSQL
GCP Pub/Sub
GCP VertexAI
Azure Data Explorer
Azure Databricks
Data visualization tools
Kibana
d3js
How We Develop Our Big Data Solutions
Consultation
What we do
An introductory call builds up a foundation for a productive partnership. During the first call, we discuss the current stage of project implementation, preliminary requirements, and goals you aim to achieve through big data integration.
What you get
You receive a preliminary outline of the range of services your project requires. If everything clicks for you, we proceed with a discovery phase.
Discovery Phase
What we do
Our business analysts thoroughly analyze the market, competition, and your business processes to reveal how big data analytics can solve your operational bottlenecks and help you outpace your competitors. We come up with a product development strategy outlining your software vision, target markets and audiences, development process, resource allocation, and go-to-market tactics.
What you get
An in-depth discovery phase allows you to mitigate risks proactively, plan your budget smartly, and ensure your product is designed to effectively meet your needs and fit the market.
Assembling a Team
What we do
Based on your project needs and budget, we gather a software development team with relevant experience in big data software development. Our full-cycle development team typically comprises business analysts, project managers, UX/UI designers, software engineers, and QA professionals. We can scale our team up and down in response to the evolving needs of your business.
What you get
Congrats, your project is in safe hands. Our experts ensure seamless product delivery while you can focus on the strategic aspects of your business.
What we do
Our engineers prepare a careful architecture design to build a high-performance solution that can be adjusted to handle smaller or larger workloads depending on your needs. During this stage, we outline a feature set, including core functions, UI, security, connectivity, and other features at your request. We focus on software scalability, extensibility, and usability to ensure your software meets your business goals effectively.
What you get
Thanks to well-thought architecture, your big data solution easily adapts to your business growth. As we build your software with scalability in mind, you will avoid costly reworks and pay only for the resources you use.
What we do
We develop your solution in iterative circles to ensure transparency and consistently align our efforts with the needs of your business. In the case of full-cycle big data application development, we can start with a minimum viable product (MVP) to validate your business idea and refine your solution in line with the user’s feedback. Our QA team implements continuous testing throughout the entire software development lifecycle, timely fixing defects and mitigating risks before they disrupt your solution operation.
What you get
The iterative approach provides a 360-degree view of your software development process. Continuous software delivery reduces development costs, accelerates time to market, and maximizes product feasibility.
What we do
Once your software goes live, our team provides ongoing support and maintenance to ensure seamless operation, relevance, and market fit. We fix newly arising issues, provide regular security updates, and eliminate system vulnerabilities quickly and efficiently. Our engineers can integrate new features or upgrade existing functionality of your software to keep your solution up-to-date.
What you get
You are never alone – our development team operates as an integral part of your business. We work hand in hand with you to ensure your software runs smoothly and fully meets your evolving business needs.
FAQ
How to choose the right software development company for my big data project?
If you seek to enhance your company’s operation with robust big data software, finding a reliable partner is one of the crucial steps toward successful digitization. Here are some of the key aspects to consider when selecting a big data software development company:
- a proven track record of big data development projects
- established software development processes relying on project management, engineering, and testing best practices
- big data technology stack suitable for the tasks you aim to solve
- cooperation options that fit your budget and project needs
Leveraging over a decade of experience in custom software development, SysGears has become a long-term partner for enterprises across many domains, including healthcare, ecommerce, and transportation. Our engineers work with reliable big data libraries and frameworks to turn your data into a powerful business development tool.
How do you ensure data security and regulatory compliance?
We prioritize our client data security and cyberthreat protection of our software during all stages of project implementation. Our engineers implement multifactor authentication, data encryption, role-based access control, input validation, as well as regular software updates to protect your data from unauthorized access and minimize other cybersecurity risks. Additionally, we thoroughly study compliance requirements applicable to your industry and implement corresponding security measures.
How does our cooperation start?
- First, you can leave your contact information in the box below or contact us via info@sysgears.com.
- We schedule a discovery call to discuss what you expect from our big data software development services.
- If your project has already started, we will ask you to provide available documentation (if any).
- We prepare a software proposal and sign a Service Agreement and NDA to formalize our partnership.
How do you calculate the price of your big data development services?
The cost of developing a big data software solution is determined by multiple variables, among which are the following:
- scalability requirements
- implemented features
- chosen cooperation model
- team expertise and size
- technology stack
Contact us to discuss your project in more detail!
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