Big Data Services
With practical experience in 30+ domains, Swift Web Design provides big data development, consulting, support and maintenance services. We guarantee a safe project start with a feasibility study and a PoC as well as optimal development costs thanks to our mature processes.
Big data services are aimed at helping companies handle massive-scale data for smooth software operation and reliable analytics insights. With 5 years of experience in big data, Swift Web Design provides full-scope big data services. We also apply our experience in AI/ML, data science, business intelligence, and data visualization to maximize the value of our customers' big data initiatives.
Select Your Case
I need big data techs
Big data techs allow software to efficiently handle constantly arriving and often unstructured data (e.g., texts, images, audio, videos) to enable advanced analytics and low-latency response to user requests.
Solution examples:
- Social media analytics solutions.
- IoT systems for remote monitoring and control.
- ML-powered software (e.g., fraud detection).
- XaaS (e.g., streaming services, dating apps).
Is it your case?
I need traditional techs
Traditional techs help handle structured tabular data (e.g., financial and transactional data, customer demographics) to aggregate disparate data sources into a single point of truth and drive analytical insights.
Solution examples:
- BI and reporting apps.
- Data management platforms.
- CRMs.
- ERPs.
Is it your case?
About Swift Web Design
During 7 years in data analytics and data science, we have been satisfying companies’ diverse analytical needs (including the need for advanced analytics), which makes us fully understand the transformation you’re undergoing.
- We hold experience in Microsoft, Amazon, Oracle, and other tech leaders to keep pace with the technological advancements and the evolution of the data analytics landscape.
- An expert team of architects, developers, DataOps engineers, ISTQB-certified QA engineers, data scientists, project managers, and business analysts with 5–10 years of experience.
- A quality-first approach based on a mature ISO 9001-certified quality management system.
- ISO 27001-certified security management based on comprehensive policies and processes, advanced security technology, and skilled professionals.
- Transparent and flexible pricing.
- We collaborate with companies from 30+ domains.
Swift Web Design's Big Data Services
Big data consulting
- Big data implementation/evolution strategies and detailed roadmaps.
- Recommendations on data quality management.
- Solution architecture design + an optimal technology stack.
- User adoption strategies.
- A proof of concept (for complex projects).
Big data implementation
- Big data solution architecture design.
- Solution development (a data lake, DWH, ETL/ELT setup, data analysis (SQL and NoSQL), reporting and dashboarding).
- Setup of big data governance procedures (data quality, security, etc.)
- Big data testing and QA.
- Software modernization, evolution, redevelopment.
Big data support and maintenance
- Big data solution infrastructure setup and support.
- Solution administration.
- Software updating.
- Adding new users and handling permissions.
- Big data management.
- Data cleaning.
- Data backup and recovery.
- Solution health checks, performance monitoring, and troubleshooting.
Advanced big data analytics services
- Designing specialized big data analytics solutions for 30+ domains.
- Big data visualization.
- Real-time big data analytics.
- Artificial intelligence.
- ML model development and turning.
- Natural language processing.
- Image analysis.
- Data science as a service.
- Big data mining.
The Benefits of Swift Web Design's Big Data Services
Industry-centric approach
With practical experience in 30+ domains, we speak your language, understand your unique challenges, and offer pragmatic solutions that fit your processes.
Optimized costs
We use our DevOps and Agile expertise to build efficient development processes, apply feasible test automation, and rightsize cloud resources to reduce cloud fees.
High degree of automation
We set up automated data governance and reporting procedures to eliminate manual work for your IT and BI teams and reduce the risk of human errors.
User-friendly UI
Enjoy the complete clarity of your big data dashboards: we build easy-to-read reports and responsive interfaces that easily adapt to users’ needs (e.g., sleek visuals for C-level presentations, and in-depth data exploration for analysts).
Clean data for reliable insights
We establish robust big data quality management processes that ensure your data is always accurate, consistent, and complete to serve as a trustworthy source for analytics.
95%+ AI/ML model accuracy
We combine best-fit algorithms and create tailored data sets for model training, apply cross-validation to fine-tune hyperparameters and enable self-learning for ML engines to deliver consistently accurate AI output.
Big Data Analytics Use Cases Swift Web Design Covers
Big data warehousing
- Storing data about business processes, finances, resources, customers, etc. for analytical querying and reporting.
- Corporate performance analytics.
- Revenue, cost and investment analytics.
- Predicting, forecasting, and planning (performance, revenue, capacity, etc.) with all interdependencies.
Operational analytics
- Collecting, processing and storing large volumes of operational data (transactional data, production process data, asset data, employee data, plans, etc.)
- Detecting deviations and undesirable patterns in a company’s operations (production processes, product distribution, etc.)
- Recognizing bottlenecks (equipment failure, resource unavailability, etc.), and conducting cause-effect analysis.
- Forecasting (demand, capacity, inventory, etc.)
- What-if scenario modelling and operational risk management.
Manufacturing
- Analyzing manufacturing data (equipment year, model, sensor data, error messages, engine temperature, etc.) to predict equipment failures and the remaining useful time in real-time.
- Real-time monitoring of production processes, production equipment data, materials usage, etc., to identify factors leading to production time increase and delays for production optimization.
Healthcare
- Capturing, storing, and analyzing patient-related data (doctor notes, medical images, EHR/EMR data, R&D results, etc.).
- Real-time patient monitoring and alerting on trends and patterns requiring the doctor’s attention.
- Personalized care plan recommendations.
- Mining claims data to identify fraudulent activity.
- Forecasting the supply, demand, supplier risks, etc., to enable healthcare supply chain optimization and planning.
Financial services
- Analyzing integrated transactional data, interaction events, and customer behaviour in real-time, identifying complex AML transactions, creating advanced risk models, etc., to identify potential fraud and fraud patterns.
- Consolidating and analyzing data on assets and liabilities and conducting credit risk assessment, liquidity risk assessment, counterparty risk analysis, etc., to mitigate financial risks.
Transportation and logistics
- Tracking and analyzing real-time sensor data (cargo state, location, etc.) to make the delivery process fully transparent and ensure high-quality delivery of sensitive goods.
- Analyzing driver behaviour, maintenance needs, weather data, traffic data, fuel consumption data, etc., in real-time to enable dynamic route optimization.
Retail and e-commerce
- Analyzing customer demographic data, data from mobile apps, in-store purchases, etc. to identify customer paths and behaviour to optimize merchandising, provide personalized product recommendations, discounts, etc.
- Forecasting customer demand, analyzing the key attributes of past and current products/services and the commercial success of their offerings, and using ML-driven recommendations to create new products/services.
- Consolidating and analyzing data from social media, web visits, call logs, and more to personalize customer support, launch tailored customer retention campaigns, etc.
- Analyzing customer transactions, and spending patterns, predicting future customer actions with ML models to assess customer lifetime value, target marketing and sales offers to your best customers, etc.
Oil and gas
- Analyzing log and sensor data from different types of equipment in real-time and putting analytics results into operations to facilitate predictive equipment maintenance.
- Analyzing drilling and production process data, data generated from seismic monitors, etc., to identify new oil deposits.
- Analyzing sensor and historical production data and building ML-based predictive models to measure well production and understand the usage rate.
Professional services
- Customer segmentation to offer personalized services, enable automated customer-agent matching, and ensure effective ad targeting.
- Financial data analytics to identify optimal service pricing strategies (based on competitors’ prices, market dynamics, historical data), detect revenue leakage, and improve profitability.
- Operational data analytics to optimize resource allocation, improve employee performance and process efficiency, and boost service quality.
Telecommunications
- Analyzing the network usage trends and patterns and using sophisticated models to forecast areas with excess capacity and optimize the network capacity.
- Analyzing overall customer satisfaction, identifying customer churn patterns, and recommending the most relevant products/services to increase customer retention.
Our Advanced Big Data Competencies
Swift Web Design combines big data expertise with decades-long experience in other advanced technologies to deliver end-to-end big data applications that bring maximum value to their users.
Artificial intelligence
Developing personalization engines, natural language processing systems, computer vision, and other AI-powered solutions that maintain stable performance under any data load.
Machine learning
Building highly accurate ML models that identify hidden patterns in big data, provide reliable forecasts, power complex neural networks, and automate complex business algorithms.
Data science
Providing strategic and technological guidance in wrangling, exploring, and applying data, we employ reliable statistical methods, establish robust data quality management processes, and help avoid issues related to inaccurate data and false predictions.
Business intelligence
Integrating large volumes of high-velocity data into scalable, fault-tolerant analytics solutions that provide trustworthy insights to any number of users.
Data visualization
Creating easy-to-navigate, customizable reports and dashboards that are tailored to the needs of specific business users and provide a clear and concentrated view of data insights that matter most.
Cloud services
Proficient in Azure, AWS, and GCP, we build cloud big data solutions from scratch and migrate legacy workloads to the cloud to achieve better scalability, cost-efficiency, and availability of our customers’ data.
Our Selected Projects
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Technical Components of a Big Data Solution We Cover
Data lake
Data warehouse
ETL processes
OLAP cubes
Data visualization
Data science
Data quality management
Data security
Swift Web Design's Big Data Services Success Factors
Rigorous testing
We develop a tailored QA strategy to ensure smooth software operation and its unfailing performance even under high data load. We also implement a feasible share of test automation, which helps us to reduce testing costs by up to 20%.
Maximum security
Relying on our ISO-27001-certified security management system and 7 years of experience in cybersecurity, we can establish reliable protection of your big data solution and ensure its full compliance with any required regulations.
Future-proof solutions
We design flexible and efficient big data systems that are easy to scale and evolve in the long run. We also provide exhaustive software documentation to streamline software maintenance and are ready to stay with you for long-term solution support or train your internal team.
Want to Harness Big Data for Your Business Needs?
Swift Web Design helps companies fetch big data from a variety of sources, and consolidate and analyze it to get valuable insights from previously untapped data assets.
All about Customer Relationship Management
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