Big Data Consulting Company S-PRO

Optimize your processes, gain insights, and make informed decisions with our timely and high-quality big data consulting service. We know how to help you, whether you are a startup, a mid-sized company, or an enterprise.

Our Big Data Consulting Experts

S-PRO's Big Data Consulting experts know how to handle vast volumes of data to mine valuable insights. We specialize in data storage, processing, and advanced analytics. Leverage big data for your strategic advantage, enhancing decision-making, optimizing operations, and driving innovation.

Dmytro Voitekh

CTO

Areas of expertise: creating and implementing AI solutions, selecting appropriate technology stack for web and mobile development, data encryption and security.

Ephraim Frei

Head of Corporate Clients

Areas of expertise: enhancing data-driven decision-making, developing and implementing AI solutions for corporate finance, leveraging machine learning algorithms for predictive analytics, and automating complex financial processes.

Nikolay Bobryk

Solution Architect

Areas of expertise: AI systems design and implementation, AI strategizing, scalable architectures development, AI technologies integration (machine learning, natural language processing, computer vision).

Big Data Consulting Services

Make the most of your data. With our big data consulting company, you can discover opportunities for your specific project — from warehousing and migration to ML-powered analytics. In any case, big data analytics consultants guarantee security and compliance.

Big Data Consulting

Evaluating the existing data infrastructure
Understand business objectives, pain points, and areas for improvement
Checking the readiness for adopting big data solutions
Selecting the appropriate technology stack
Robust data governance policies and frameworks
Identifying potential risks and challenges
Roadmap for implementing big data solutions

Big Data Implementation

Designing the architecture and solution blueprint
Configuring cloud infrastructure
Installing software components and optimizing performance parameters
Implementing data pipelines or workflows
Extract, Transform, Load (ETL) processes
Creating analytics pipelines, algorithms, and ML models
Dashboards, reports, and visualization tools
Rigorous testing and quality assurance

Big Data Processing

Removing duplicates and handling missing values
Transforming raw data into a suitable format
Ingesting data from various sources
Selecting and setting up the appropriate processing framework
Parallel processing techniques
Data processing algorithms and logic
Fault tolerance mechanisms
Monitoring and optimizing performance

Big Data Warehousing

A thorough analysis of the existing data infrastructure
Identifying warehouse requirements
Defining data structures, relationships, and hierarchies
Establishing connections between different data entities
Developing data integration pipelines and processes
ETL processes
Implementing storage solutions
Enabling querying and analysis of data
Data governance policies and security measures

Data Migration Services

Understanding existing architecture, technologies, and data assets
Defining key data sets, migration timelines, and metrics
Developing a comprehensive migration strategy
Data anomalies, duplicates, inconsistencies
Mapping source data fields
ETL (Extract, Transform, Load) processes
Data validation and verification methods

BI, Reporting, and Data Visualization

Understanding user needs and relevant KPIs
Identifying data sources and metrics
Data extraction, transformation, and loading (ETL) processes
Data dimensions, hierarchies, and relationships
Selecting appropriate visualization components
Dashboard layouts, visualizations, and navigation paths
Providing user-friendly tools and interfaces
Appropriate visualization types
Statistical analysis, ML algorithms, and predictive modeling

Advanced Big Data Analytics

Defining and prioritizing use cases
Data cleansing, transformation, and feature engineering
Engineering and selecting features
Selecting appropriate algorithms and tuning model parameters
Fitting the model to the training data
Evaluating the performance of unseen data
Packaging the model into a deployable format
Integrating it with existing systems
Mechanisms for model retraining and recalibration

Why to Employ Big Data Consulting

Choose a big data consulting company to enhance your strategy and roadmap. Our experts allow you to visualize patterns, make informed decisions, improve analytics, and reduce risks. Discover more about how big data in consulting can benefit your business.

Customer Insights

Do you know your customers well? Big data consulting firms help you analyze vast volumes of structured and unstructured data from social media, transaction histories, and customer interactions. As a result, you can uncover valuable insights into customer needs, preferences, and sentiments.

Data-Driven Innovation

Big data analytics consulting companies identify emerging trends, uncover hidden patterns, and discover new business opportunities. This way, you drive innovation across various aspects of their operations, from product design to customer service. Stay ahead of the curve, continuously adapting to changing market dynamics.

Diverse Use Cases

Not sure if big data will help you? Data consultancy offers use cases across industries, catering to diverse business needs — from predictive analytics and customer segmentation to fraud detection and supply chain optimization. Also, you can use big data to optimize marketing campaigns, improve operational efficiency, or mitigate risks.

Enhanced Business Operations

Big data consulting companies optimize business operations by leveraging insights from data analysis. Use operational data from manufacturing systems, supply chain networks, and enterprise applications to identify inefficiencies and streamline workflows. Real-time monitoring of key performance indicators (KPIs) facilitates proactive decision-making.

Targeting and Recommendations

Segment the audience based on demographics, behaviors, and preferences. Let's enhance customer engagement through targeted marketing campaigns and personalized recommendations. A customized approach drives sales, strengthens brand affinity, and fosters long-term customer relationships.

Better Pricing

Your pricing strategy can also be optimized — by understanding market dynamics, customer preferences, and competitive offers. Develop dynamic models that adjust prices based on real-time demand, competition, and other factors. Also, consulting big data helps you predict demand and adjust prices accordingly.

Extract insights from all types of data with the help of big data and analytics consulting

Get Started

Our Big Data Consulting Flow

DURATION: 3+ WEEKS
A TEAM OF 2-5 PROFESSIONALS

Let's communicate to discuss your business objectives, current data infrastructure, and challenges. We gather requirements and assess your company's readiness to adopt big data.

Then, our big data consultant develops a comprehensive strategy and roadmap for implementing solutions. We define project goals, prioritize use cases, select appropriate technologies, and outline the implementation approach.

It's time to select data storage and processing technologies. We define high-level architecture, data flow, components, and pipeline dependencies. We consider scalability, security, and integration with existing systems in the process.

Our big data experts implement and execute the project. This involves setting up infrastructure, configuring software components, developing data pipelines, and integrating data from various sources.

Our big data analytics consultant conducts rigorous testing to validate the solution's functionality, performance, and reliability. We optimize its efficiency and scalability before deploying it into production.

Our Tech Stack for Big Data Consulting

Languages
Frameworks and Libraries
Visualization for Big Data Consulting Service
Databases for Data Consulting Services
Data Warehousing
Machine Learning and Predictive Analytics
Cloud Platforms

Python

Apache Hadoop

Apache Spark

Pandas

NumPy

PowerBI

Tableau

Zoho Analytics

SQL (PostgreSQL, MySQL)

NoSQL (MongoDB, Cassandra)

Amazon Redshift

Google BigQuery

PyTorch

TensorFlow

Keras

Microsoft Azure

AWS

Google Cloud

Our Case Studies

Launching a new business

Community building platform

Muuvr is proprietary active-data-for-crypto platform. It inspires and enables active people of every ability, nationality, age, gender, economic status, creed and colour to take ownership of their...

Switzerland

TECH FIRM

New business line

AI solution for the compliance domain

Compliance Aspekte is a platform with which companies can manage their compliance with various requirements, including the GDPR, ISO 27001, IT-Grundschutz, and many others...

Germany

TECH FIRM

MVP
Dedicated team

Advanced travel planning tool

TravelPlanBooker offers customers a truly integrated travel planning and booking experience, allowing them to arrange flights, trains, buses, accommodations, activities, and car rentals, all in a single transaction...

Switzerland

TECH FIRM

Facts about S-PRO

Team members

250+

Projects delivered

300+

MVPs converted into solutions

95%

Countires / Offices worldwide

6 / 8

Why Customers Choose Us

Convenient Time Zone

Our big data consulting company guarantees seamless communication across various time zones. With headquarters in Switzerland, representations in the Netherlands and the USA, and dedicated R&D centers in Poland and Ukraine, we cover a broad spectrum of regions. As a result, we promptly respond to urgent issues.

High Automation

At S-PRO, we leverage automation technologies during data consultancy services. Automated data governance and reporting procedures streamline your data management processes and reduce the risk of human errors. Automated workflows ensure smooth data movement through your systems, enabling faster insights.

Optimized Budget

You might think that big data consulting services will blow your budget. However, we leverage DevOps and Agile methodologies to optimize project expenses. For example, our experts implement test automation to identify and rectify issues earlier and adopt a rightsizing approach to cloud resources, minimizing resource utilization.

Industry-Centric Approach

Whether you operate in healthcare, finance, hospitality, renewable energy, logistics, or manufacturing, we offer industry-centric solutions tailored to your specific needs. With practical experience across various domains, our big data analytics consultants understand the unique challenges and regulatory requirements to address specific pain points.

Skilled Talent

Access a highly skilled team of data architects, developers, DataOps engineers, certified QA engineers, data scientists, project managers, and business analysts. Our big data consulting firm prioritizes continuous learning and professional development to stay abreast of the latest technologies and practices.

User-Friendly UI

At S-PRO, we recognize the importance of user experience. Our big data consultants help to create user-friendly interfaces that cater to the needs of both C-level executives and analysts. We focus on clarity, simplicity, and intuitiveness so stakeholders can easily extract actionable insights from complex data sets.

Frequently Asked Questions

How do you assess the readiness of a company to adopt data consultant services?

To assess your readiness for adopting big data consulting services, we conduct a comprehensive evaluation of your existing data infrastructure, resources, and capabilities. We also analyze your business objectives, data maturity level, and organizational culture to determine the potential challenges of implementing big data analytics.

What technologies and tools do you typically use in big data analytics consulting?

Our big data consulting company typically utilizes data processing frameworks like Apache Hadoop or Apache Spark, cloud platforms like AWS or Azure, databases like MongoDB or Cassandra, and analytics tools like Tableau or Power BI. We select the most appropriate stacks based on data volume, variety, and complexity.

What is the expected timeline for completing a data consulting service?

The expected timeline for implementing big data in consulting depends on the scope and complexity of the project, the availability of data and resources, and the specific requirements and objectives. Typically, our projects are completed within a timeframe ranging from a few weeks to several months. Contact S-PRO to discuss realistic timelines and milestones.

Contact Us

We would like to know more about your request. Let's schedule a free estimation call and discuss the next steps.

Fill out the form or email us at hi@s-pro.io

Or call us +41 79 535 63 77

Headquarters

Zurich, Switzerland

Hardturmstrasse 161, 8005

Zug, Switzerland

Dammstrasse 16, 6300

R&D Centers

Lodz, Poland

Zachodnia 70, 90-403

Lviv, Ukraine

Heroiv UPA 71, 79000

Kyiv, Ukraine

Verkhnii Val St, 24, 04071

Business Representatives

Salt Lake City, USA

Kiln SLC, 26 S Rio Grande St, UT 84101

Austin, USA

11801 Domain blvd., 3rd Fl, Austin, TX 78758

Amsterdam, Netherlands

Science Park 608, 1098 XH

Let’s discuss your project