Big data consulting services
Big data: What it is and why you need it
The amount of customer and operational data generated by businesses grows by the day, but few companies know how to harness it to improve operations and profits.
Sophisticated analytics open the door to a whole new world of possibilities, fuelling faster and better forecasting and planning, with the end result of better market performance.
Here are just a few key features of big data that companies need to keep in mind:
Volume
Five quintillion bytes of data are created every day around the world — that’s a million trillion bytes or 1 x 1018. The sheer volume of data demands specialised processing techniques in order to yield actionable insights.
Velocity
Big data analytics can be produced through batch processing, or via real-time (seconds) or near real-time (minutes) processing. The faster big data analysis is generated, the more robust the processing approach needs to be.
Variety
When you have more sources of data, they’re more likely to be in different formats, including traditional documents and databases, semi-structured and unstructured data from social media, and data from IoT devices and GPS.
Our data engineering services
Our state-of-the-art services encompass every aspect of data engineering implementation so we can power company-wide business transformations.
Have your data gathered, processed, cleaned, and transformed into efficient data lakes for automated, streamlined business analysis.
Migrate your existing data and integrate it with third-party systems so that your big data solution is powerful, comprehensive, and orderly.
Organise and store massive amounts of data within architecturally sound databases that optimise data space usage, processing times, and security.
Convert your data from numbers into user-friendly graphs, maps, and charts.
Our big data capabilities
Backed by our cutting-edge big data services, you can make the most of advanced big data analytics in order to fine-tune your offerings, create new sources of revenue, and grow sustainably.
Has your business grown to the point that you need extra hands to expand and maintain your big data systems? We’ve got you covered.
Our dedicated teams of data engineers are handpicked to expand your big data capabilities and maximise operational efficiency.
While we excel at crafting systems from the ground up, count us in when your solution demands fixes or new features.
Our teams establish maintenance schedules that reduce your system’s downtime, improve overall stability, and ensure long term savings.
Why work with Vention?
We hire top-talent
- Dedicated teams with an analytical mindset
- 30+ big data engineers
- 100+ successful big data engineering projects
We understand your expectations
- Client-centred development approach
- Agile methodologies
- Alignment with organisational, cultural, and technical values
We value your time
- Two weeks from intro call to kickoff
- Fast and effective scaling
- 30% less time to market
It’s commonly thought that big data services are cost-prohibitive for smaller businesses. While it’s true that processing, storing, and analysing big data all require resources, those costs can be estimated with a preliminary infrastructure analysis and then mitigated by optimising processing pipelines.
Incorrect algorithms. Unreliable data processing. Misguided conversion of insights. These are just some of the many factors that can affect the performance of big data solutions. We craft custom plans that start with choosing a proven tech stack and assessing a solution’s feasibility so your project is free from performance issues.
To ensure data’s reliability, our domain experts take an iterative approach to data cleansing, analysis, visualisation, and review.
Whether you need to secure signed NDAs, design a data encryption strategy, or stay aligned with internal and external security policies and requirements, we rely on security best practices to protect your data’s integrity.
AI and big data pair well together since AI-powered apps can leverage vast amounts of data to constantly and autonomously update themselves. Our big data experts review early requirements and provide technical feedback to ensure AI and big data work efficiently, hand in hand.
Transforming big data into industry success
Fintech
- Data available in real-time via enterprise integration pipelines
- Updated, consistent business report generation fuelled by continuous data growth
- Scalable software and storage solutions that fit growing data needs
Advertising
- Validation of creative insights through data
- Better management of increased workload and number of clients
- Scalable real-time processes
Retail
- Reduced risk in data processing
- Near limitless volume of data for analysis
- Business integrations unrestrained by technology
Healthcare
- Data storage of medical conditions
- Personalised care for patients
- Operational cost savings
Technologies we use
Big data tools
Hadoop
Spark
HBase
HDFS
Kafka
Cassandra
Databases
MS SQL Server
MySQL
MongoDB
MS Azure SQL
Redis
Data science and machine learning tools
R, RStudio
Pandas
Matplotlib
Caret
Scikit-learn
