Scale Smarter with Big Data
Data Analyst Overview
Big data analytics refers to techniques and technologies for processing and analysing extremely large and diverse datasets. This includes structured and unstructured data from sensors, social media, transactions and enterprise systems. With domain‑specific platforms and horizontal cloud‑native tools, businesses can gain actionable insights at scale.
The global big data analytics market was valued at US$326.34 billion in 2024 and is predicted to reach US$1,112.57 billion by 2033 with a 14.50 % CAGR. 80 % of enterprises increased their analytics budgets by 35 % in 2024. North America currently accounts for 35 % of the market. Industry‑specific vendors (e.g., Palantir and Veeva) are gaining traction due to regulatory requirements and vertical solutions.
Key offerings
- Data lake and lakehouse design: implement scalable storage architectures with governance, supporting UK, US and Canadian data residency laws.
- Real‑time stream analytics: use technologies like Apache Kafka, Spark Streaming and Flink to analyse sensor data, click‑streams and IoT events.
- Predictive & prescriptive analytics: apply machine learning to forecast outcomes and recommend actions.
- Industry‑specific solutions: design analytics platforms for finance, healthcare and manufacturing, integrating privacy‑enhancing technologies (PETs) where needed.
Our approach
- Strategy & architecture: align analytics initiatives with business objectives and regulatory obligations (GDPR, HIPAA, GDPR’s UK extension, PIPEDA).
- Data ingestion & ETL design: build pipelines to ingest from diverse sources using streaming and batch processes.
- Distributed processing: deploy cloud‑native clusters (Spark, Dask) across AWS, Azure or GCP with cost‑optimised architectures.
- Visualization & insight delivery: create dashboards and notebooks that empower cross‑functional teams to explore data.
Market insights
- Verticalisation: domain‑specific platforms hold 39 % of revenue, while horizontal cloud‑native tools represent 53 %.
- Privacy & ethics: 75 % of enterprises are expected to adopt privacy‑enhancing technologies by 2025 to meet regulations like the EU AI Act and Canada’s Digital Charter.
- Edge analytics: 62 % of manufacturers deploy edge nodes to preprocess sensor data on‑site, reducing cloud transfer costs by 41 %.
- Generative AI synergy: integration of generative AI enables multi‑modal data fusion; retailers and financial institutions are blending satellite, POS and geopolitical data to optimise operations and mitigate risks.
Why choose Verkoon?
- Hybrid architectures: we design data architectures that span cloud and on‑premise environments to meet sovereignty and latency requirements.
- Regulatory compliance: our solutions incorporate privacy‑preserving analytics, meeting UK GDPR, EU AI Act, US HIPAA and Canadian PIPEDA requirements.
- Industry expertise: we build domain‑specific solutions for healthcare, finance, retail and manufacturing, using PETs, homomorphic encryption and federated analytics when necessary.
- Operational excellence: we monitor data pipelines with automated quality checks and MLOps to prevent drift and ensure reliability.
Implementation tips & graphics outline
- Hero image: use a professional illustration showing data points transforming into charts.
- Infographics: include a bar chart summarising the growth of data science market size to 2025 using the 181 zettabytes figure and market value projections.
- Process diagram: visualise the four‑step analysis process as a circular flow.
- SEO elements: target phrases such as data analyst services UK, business data analysis USA and data analytics Canada. Mention compliance standards like GDPR and HIPAA to resonate with UK and North‑American audiences.
Partner with Us for Comprehensive IT
We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.
Your benefits:
- Client-oriented
- Independent
- Competent
- Results-driven
- Problem-solving
- Transparent
What happens next?
We Schedule a call at your convenience
We do a discovery and consulting meting
We prepare a proposal