Turn your data into a competitive edge with big data consulting
A big data consulting company with 20+ years of experience, Vention empowers tech startups and established enterprises to translate data into smart decisions, streamlined processes, and superior customer experiences.
Whether you’re creating a new solution or refining an existing one, our big data experts will guarantee smooth operation, high performance, scalability, and cost efficiency — so you can focus on growing your business, not timelines, processes, or technicalities.
Inside look: Big data technology adoption among your peers
For 87.9 percent of organizations, investments in data and analytics are a top priority.
In 2023, the global data analytics market size was estimated at $61.44B and is projected to exceed $581.34B by 2033, growing at a CAGR of 25.20 percent.
Source: GlobeNewswire
Companies that integrated big data technology into their internal processes reported eight percent higher revenues and ten percent lower costs.
Source: BARC
Top big data benefits reported are better strategic decisions (69 percent), improved control of operational processes (54 percent), a better understanding of customers (52 percent), and cost reductions (47 percent).
Source: BARC
Big data consulting services to drive strategic growth and operational efficiency
Vention created a powerhouse service pack to give Fortune 500 giants and tech startups the strategic edge and engineering peace of mind they deserve. We're your partner from start to finish, tackling challenges head-on and delivering strategic, high-ROI solutions.
Feasibility analysis
Engage our big data consultants to ensure your initiative is viable and set to deliver a high ROI. SWOT, technology fit, cost-benefit analyses, and proof of concept development are just a few practices we use to make you feel confident that your project is a success and not a drain of resources.
Product conceptualization and development
Dreaming of the next big thing like Netflix or Uber? Whatever innovative data-rich app you have in mind, we’ll help you find your niche, plan standout features, and deliver an MVP to quickly get user feedback and evolve confidently.
Tech and architecture consulting
With so many architecture designs, big data technologies, and cloud services, we’ll pick the optimal ones for your case.
Microservices or serverless, Lambda or Kappa, AWS or Azure, Apache Kafka or Pulsar — we tailor the design to your needs and ensure a scalable data architecture.
Big data development
Confident in the high quality of our consulting deliverables, we’re always ready to proceed with their implementation. Trust us to deliver ETL pipelines, data collection, streaming, data storage, distributed processing, and analytics components of your big data solution.
Data security and compliance
As an ISO 27001-certified company, we’ve got your data security covered — from setting up a secure project environment with us to planning and introducing all the necessary controls and measures (e.g., data encryption and cloud security tools).
We also help ensure your solution complies with applicable regulations like HIPAA, GDPR, PCI DSS.
Data science consulting
Thinking about incorporating AI or machine learning into your solution? We’ll help you select the right ML model, prepare data sets, train the model, and verify its accuracy so you can trust the results.
No need for AI or ML? Our data mining and statistical prowess will still arm you with valuable insights.
Performance tuning and cost optimization
If your big data solution isn't meeting your expectations in terms of performance, cost, or scalability, we can audit your software and cloud computing resources and suggest improvements.
This might be as simple as reconfiguring Hadoop clusters or as complex as reconsidering the big data technology stack or migrating to another cloud.
Big data integration
Planning to enrich your infrastructure with a big data solution? Our big data consultants will audit the existing environment, examine the data sources, plan and implement the integrations with the existing systems, such as ERP, EHR, and CRM.
Data quality audit and assurance
Following a deep analysis of your data sources, we recommend the most critical ones for gaining vital insights. We also develop a data quality management framework to ensure that your data is high quality, free from duplicates, and accurate.
Why Vention is your safe bet for big data success
years of experience
successful big data engineering projects
industries served
experts on board
Delivery on time, budget, and scope
Strong security measures and high service quality proved by ISO 27001 certification
Guidance on selecting stacks that reduce both initial and ongoing maintenance costs
Compliance with international regulations
The game-changing benefits our clients value
Vention has been developing an iOS and Android mobile app for us. This app is being built specifically for labor and delivery nurses. The app <...> collects data to analyze trends. With this feature, we'll be able to gather data and provide practice recommendations based on real-time births happening all over the country.
As for the quality of their work, Vention is very invested in the project. They actually care and understand what they're doing rather than just checking the boxes. To me, that sets them apart from other companies and has allowed us to develop a high-quality product.
The game-changing benefits our clients value
We have thousands and thousands of users, and the site has never gone down. The application Vention architected is very robust and complicated, and they’ve done a great job. They’ve enabled us to scale in a very positive way. The fact that we’ve been able to build incrementally on this solid foundation has been a cornerstone of our company’s success.
Check out our prominent big data projects
Case study
Kids Academy
For an e-learning platform featuring preschool educational materials and games, our big data engineering team developed a neural network that accurately examines completed worksheets and tracks kids' progress.
Braavo Capital
Our big data engineering team enhanced the platform, which supports 8,000+ mobile app founders in their growth and funding initiatives. We integrated a tool for comprehensive historical data analysis and a predictive model for risk analysis and revenue-based funding.
Barchart
We developed a high-performance data storage solution and an API to support a financial market data and analysis platform. The platform presents market data and screeners to identify market movements and investment opportunities in real time, flawlessly handling increasing workloads.
Vexcel
For Vexcel, a leader in aerial imaging, we engineered a batch processing framework, ML-powered aerial image analysis tools, and in-browser map applications that serve as the intuitive frontend for backend algorithms.
Got a groundbreaking big data project in mind?
We’ve already helped 100+ companies like yours to turn their ideas into robust solutions.
The transformative power of big data consulting in your industry
Ecommerce
Deliver stellar customer experience and support back-office operations.
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Recommendation engines
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Loyalty management software
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Customer feedback analysis
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Dynamic pricing
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Demand forecasting
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Inventory management
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Supply chain optimization
Improve health outcomes and facilitate internal processes and care management.
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Image analysis software for diagnostics
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ML-based models and algorithms for predicting health outcomes and complications
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Clinical decision support systems
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Remote patient management solutions
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Telehealth
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IoT-powered asset management
Make informed decisions quickly, improve internal processes, and ensure unprecedented data security.
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Real-time fraud detection system
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ML-based predictive models and algorithms (e.g., for personalizing customer experience)
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Risk management software
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Credit scoring
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Automated investing
Information technology
Create captivating new products or enhance existing ones with big data and AI, while improving IT infrastructure management and streamlining the SDLC.
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Sentiment analysis software (for competitor and user feedback analysis)
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ML-based models for test automation
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Real-time monitoring systems
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Security and threat detection
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Resource consumption planning and optimization
Manufacturing
Improve quality control, implement preventive asset maintenance, and streamline production processes.
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IoT-powered asset management
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Production planning
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Computer vision-based product quality control
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Product defect analysis
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Multi-echelon inventory management
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Supply chain management software
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Supplier evaluation
Hear from our expert
Denis Sokol
Software Engineer
Hear from our expert
You can approach us with just a project idea in mind. Our domain experts excel at understanding your industry's unique challenges and opportunities.
No clear requirements? Our big data consultants will interview stakeholders to define them. No detailed vision? We’ll audit your data sources, design the solution’s architecture, and identify the best-fit technologies and algorithms. What’s more, you can rely on hands-on experience with the compliance standards relevant to your niche."
Key elements of big data solutions we develop
Data storage
It typically consists of two key components: a data lake and a data warehouse (DWH). The former stores data in its original format as it arrives. For example, it includes both erroneous readings of a misconfigured sensor and correct readings from other sensors. Data in a lake can also be used for data science experiments.
A DWH, however, is all about precision, as it stores only preprocessed data ready for analytical queries. In our example, the DWH would contain only the correct sensor readings aggregated into clean hourly averages.
Distributed data processing (batch and real-time processing)
ETL/ELT pipelines capture and transfer big data from various data sources through big data solutions until it’s finally distilled into insights or triggers some action (e.g., automatically notifying the maintenance team if a sensor reports high-temperature values). Big data processing can occur in real time or in batches (say, producing results every four hours).
Advanced analytics and BI
Any data manipulation — whether driven by AI, ML, or data mining — aims to translate raw data into actionable insights and present them as easy-to-interpret dashboards.
Our tech stack
Programming languages:
Python
Java
Scala
R
AWS:
Amazon EMR
AWS Lambda
Amazon S3
AWS Glue
Amazon Kinesis
Amazon DynamoDB
Amazon Redshift
Amazon QuickSight
Google:
BigQuery
Dataproc
Dataflow
Cloud Storage
Azure:
Azure HDInsight
Azure Data Lake Storage
Azure Data Factory
Azure Cosmos DB
Azure SQL Database
Distributions:
Hortonworks
Databricks
Cloudera
ETL tools & frameworks:
Informatica
Pentaho
Talend
Apache Camel
Spring Batch Integration
dbt
NoSQL
MongoDB
HBase
Cassandra
ClickHouse
Druid
SQL:
PostgreSQL
MariaDB
MySQL
Oracle
Microsoft SQL Server
Apache projects:
HDFS
Hive
Spark
Kafka
Pulsar
Beam
Samza
Flink
Storm
NiFi
Airflow
Analytics & BI tools:
Tableau
Microsoft Power BI
QlikView
ELK
Qlik Sense
Looker
Machine learning:
NumPy
scikit-learn
TensorFlow
PyTorch
RStudio
pandas
Matplotlib
caret
Transform your data into actionable analytics
Break data silos. Gain reliable, actionable insights. Stay ahead in the data-driven world.