Big Data Analytics Services
Get insights from huge amounts of data, fast and at scale
Experience unparalleled speed and scalability with Big Data solutions. Our expertise in Google BigQuery and MongoDB ensures your data is not only big but smart — driving efficient decisions and robust growth.
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Our Big Data Analytics Services
Customized Big Data Solutions
From enhancing your current data operations to building new big data infrastructures, our experts support you at every step — powered by Google BigQuery and MongoDB.
Advanced Data Infrastructures
We configure robust cloud and PaaS big data environments that harness the full potential of BigQuery and MongoDB for processing and analyzing large volumes of data quickly and efficiently.
Data Governance and Scalability
We implement rigorous data governance frameworks to ensure your data is accurate, consistent, and compliant. Our scalable solutions grow with your business without compromising performance.
Seamless Data Integration
Comprehensive integration of your data sources — from ERP to CRM — providing a unified view that supports consistent and reliable analytics across your organization.
TESTIMONIALS
Witanalytica has been an awesome team to work with. They have such a talented team with a broad range of expertise in software development, BI and data analysis - which have all been instrumental in helping us achieve our technical goals. We truly value their partnership and look forward to continuing to work together.
Gregg Bansavage
CIO, RBW Logistics
Witanalytica has been an excellent partner in managing and optimizing our Tableau environment. Their team’s technical expertise and proactive support have streamlined our reporting processes, improved dashboard performance, and provided valuable insights to our business. Their responsiveness and deep understanding of data analytics make them a trusted extension of our own team.
Mark Lack
Director of Data Analytics and AI, The Ubique Group
Witanalytica helped us transition from Excel to a dynamic dashboard, allowing us to view all the relevant data and the KPIs that we track as a business. Instead of having our developers code an interface for weeks, we can now instantly accomplish this process through an interface, eliminating the need for manual coding.
Radu Albastroiu
Startup Founder, masinilacheie.ro
Witanalytica’s expertise in big data engineering and visualization complements our digital media audit and customer analytics services. Collaborating with them allows us to deliver end-to-end analytics solutions and services, without the risks and investments associated with building these capabilities in-house.
Silviu Toma
Senior Partner, Microanalytics
Working with Witanalytica has transformed our approach to reporting. Their expertise in PowerBI enabled us to go beyond the limited capabilities of Excel, allowing us to provide our clients with dynamic and visually captivating PowerBI dashboards. This capability has facilitated rapid testing, iteration, and the collection of customer feedback to improve our platform.
Alin Rosca
Startup Founder, RepsMate
Working with Witanalytica has been a consistently positive experience. They are responsive, professional, and approach every revision with patience and precision. What sets them apart is a strong understanding of supply chain management, inventory planning, and sales operations, which makes collaboration efficient and ensures deliverables align with real business needs. They have also worked effectively across multiple departments in our organization and manage a 6-7 hour time zone difference seamlessly. I would confidently recommend them to any organization seeking a skilled and dependable analytics partner.
Rubin Chen
Supply Chain VP, The Ubique Group
Your Goals, Our Expertise
We start from your strategic objectives and work our way back to the right mix of solutions and technologies, not the other way round.
Book a Consulting CallOur Strategic Approach to Big Data Analytics Deployment
We begin by thoroughly understanding your business needs and BI reporting requirements — identifying key metrics, refresh frequency, and the specific reports needed for decision-making.
We identify the right data sources and obtain access to underlying systems, collaborating with departments to ensure all relevant data is considered.
We extract data from identified sources, transform it to fit the required format, and load it into databases, data lakes, and data warehouses — handling both structured and unstructured data.
We test for retroactive data updates to ensure integrity, identifying overlap periods and performing upserts to maintain accurate and up-to-date datasets.
We focus on creating reusable data assets utilized across departments — standardized datasets, dashboards, and BI tools that maximize value.
APIs and web interfaces for easy access to data products through reports, endpoints, files, or emails — ensuring data is readily available to all stakeholders.
Regular updates, performance optimization, and compliance with data governance standards to maintain a high-quality, high-availability data environment.
We begin by thoroughly understanding your business needs and BI reporting requirements — identifying key metrics, refresh frequency, and the specific reports needed for decision-making.
When Do You Need Our Big Data Analytics Services?
- Your data volumes exceed what traditional databases can handle.
- You need to integrate and unify data from multiple disparate sources.
- Real-time or near-real-time analytics are crucial for your operations.
- You want to leverage machine learning on large datasets.
- Your current infrastructure cannot scale to meet growing data demands.
- You need a unified data governance framework across departments.
Why Choose Witanalytica for Big Data Analytics?
Strategically Aligned Analytics
We prioritize your strategic objectives to provide big data solutions that yield tangible results and measurable business outcomes.
Efficient Decision-Making
Our agile data teams expedite the transformation of large datasets into structured data marts, delivering your first insights fast.
Competitive Advantage
Our governance processes and data quality commitment deliver insights that are accurate, actionable, and set you apart from competitors.
Clean Reporting
Comprehensive data preparation with logs and alerts, ensuring data integrity and transparent reporting at every stage.
Actionable Visuals
Complex big data brought to life through industry-leading BI platforms or custom web applications.
Actionable Insights
Rapid, actionable insights from massive datasets that drive decision-making and business growth.
Our Big Data Analytics Pricing Models
Transparent pricing built for long-term partnerships, not one-off transactions.
On-Demand Expertise
All tasks are tracked, and the corresponding invoice of the delivered services is billed monthly.
| Activity | Hourly Rate |
|---|---|
| AI Agents Development and Implementation | $100 |
| Data Engineering & Database Administration | $110 |
| Business Intelligence Reporting | $90 |
| Data Science | $120 |
Reserved Capacity Agreement
- Pre-purchase a package of monthly working hours that guarantees reserved capacity and priority availability, regardless of our workload.
- Because this capacity is exclusively allocated to you, unused hours do not carry over to the following month.
| Hours Package | Price |
|---|---|
| Every 50 hours | $4,500 10% savings |
Alternatively, we also offer project-based pricing
For well-defined engagements, we scope the full project upfront and agree on a fixed fee, so you know exactly what to expect.
Tools and Technologies
MongoDB
MongoDB is a flexible NoSQL database platform, popular for its document-oriented storage and high scalability. Deployed as a Platform as a Service (PaaS), it allows developers to manage and analyze diverse datasets efficiently with very low costs.
Google BigQuery
We design and deploy big data solutions on Google Cloud using BigQuery, a fully-managed, serverless data warehouse that enables super-fast SQL queries over large datasets. This cloud-based service excels in ease of use, scalability, and maintenance.
Case Studies for Big Data Analytics Services
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Big Data Analytics FAQs
Big data analytics is the process of examining large and varied datasets to uncover hidden patterns, correlations, market trends, and customer preferences. It helps organizations make informed decisions using data that traditional tools cannot process efficiently.
Our primary tools are Google BigQuery for serverless data warehousing and MongoDB for flexible document storage. We also work with Amazon Redshift, Azure Synapse, Snowflake, and various ETL tools like Python, DBT, and Apache Airflow.
Your data volumes exceed what traditional databases and tools can handle.
You need to integrate data from multiple disparate sources.
Real-time or near-real-time analytics are crucial for your operations.
You want to leverage advanced analytics like machine learning on large datasets.
We implement rigorous data governance frameworks covering accuracy, consistency, and compliance. Our ETL processes include validation checks, and we create multiple aggregation layers to ensure data integrity at every level.
Outsourcing provides diverse expertise, cross-industry experience, flexible engagement models, and scalability. It's ideal if you need specialized big data skills without the commitment of full-time hires.
It depends on your industry and existing tools. GCP integrates well with Google Analytics and BigQuery. AWS offers comprehensive services like Redshift and SageMaker. Azure excels in enterprise security and Microsoft ecosystem integration.
Affiliate Marketing, FMCG, Healthcare, Manufacturing, Transportation, Logistics, SaaS, Media, Advertising, Retail, and E-commerce. Visit our industries page to see detailed solutions and case studies for each vertical.
You retain complete ownership over architecture and data. We operate within your infrastructure using SSH keys, VPNs, IP whitelisting, OAuth APIs, and encryption in transit and at rest. We align with GDPR and CCPA.
We offer two engagement models with transparent pricing.
On-Demand Expertise
All work is tracked and billed monthly at hourly rates:
- AI Agents Development and Implementation - $100/hr
- Data Engineering & Database Administration - $110/hr
- Business Intelligence Reporting - $90/hr
- Data Science - $120/hr
Reserved Capacity Agreement
- Pre-purchase a 50-hour monthly package at $4,500 (10% savings)
- Guaranteed priority availability regardless of our workload
We also offer project-based pricing for well-defined engagements.
Contact us to discuss the best fit for your needs.
We provide active monitoring, maintenance, and flexible support options. We measure solution adoption and continuously optimize to ensure the big data infrastructure delivers ongoing value.