Big Data Consulting Services
Move beyond stale analytics to actionable insights with our big data consulting experts. We cover everything from data strategy to architecture design, leaving no stone unturned.
How to move e-banking into the microservices architecture?
Get the latest insights on the best way to transform your banking experience.
How to move e-banking into the microservices architecture?
Get the latest insights on the best way to transform your banking experience.
How to move e-banking into the microservices architecture?
Get the latest insights on the best way to transform your banking experience.
How to move e-banking into the microservices architecture?
Get the latest insights on the best way to transform your banking experience.
How Big Data Works for You
Big data isn't just about massive data sets. The value, prosperity, and success of your entire business ecosystem are hidden behind a bunch of words and numbers. See what companies are achieving by leveraging big data technologies.
Challenges Our Big Data Consultants Mount
Just like you, we want to keep information simple and accessible. But its sheer volume is not the only obstacle to your company's success. There are other challenges that a big data consultant must address.
Managing vast amounts of information
Integrating data from disparate sources
Ensuring data quality,
security, and compliance
Applying data science and analytics
Migrating information from legacy or costly platforms
Handpicking the right big
data technology
Mediating organizational
risk management
Cutting down operational
costs
Big Data Consulting Services We Offer
The snowballing volume and velocity of information need expert guidance. Here is the wild range of consulting services the Qulix team offers you.
Big Data Strategy Consulting
Get a strategic roadmap for your big data solution to navigate the dynamic landscape of data management:
- Evaluation of your existing strategy: today’s capabilities, potential roadblocks, and market trends;
- Implementing advanced ML- and AI-based analytics;
- Aligning the strategy with your business goals and data governance framework.
Big Data Engineering Consulting
Embrace an expert data engineering approach aimed at designing and optimizing data pipelines:
- Seamless data flow from various sources to a destination of choice;
- Implementation of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes;
- Adjusting data to a single format.
Big Data Analytics Consulting
Achieve desired outcomes and successfully roll out growth-driving initiatives with our big data consulting company:
- Analyzing your current business setup;
- Identifying areas for innovation;
- Adopting industry best practices.
Big Data Architecture Design
Bring in professionals to review your existing data architecture and determine the optimal course of action for your business:
- A robust and scalable environment for handling big data;
- Implementation of data lakes;
- Unstructured data systematization.
Big Data Management Consulting
Effectively manage your data throughout its entire lifecycle, both on the cloud and on-premises:
- Tools and strategies to efficiently handle information, regardless of its size;
- Hassle-free data accessibility;
- Qualified analysis and retrieval to extract pivotal insights.
Big Data Visualization
Help your raw data tell its story with interactive dashboards, reports, and other visually appealing techniques:
- Intuitive presentation of complex data sets;
- Highly informative layouts: tables, charts, graphs, diagrams, etc.;
- Assistance from seasoned data scientists and visualization gurus.
Integration of Big Data Solutions
Leave behind the fear of migrating to a new system with our big data engineers. They ensure a smooth integration of big data services into your current infrastructure:
- Setting up data mapping and synchronization;
- Optimal use of data storage capabilities;
- Big data integration services in real-time.
Big Data Governance & Security
Let exceptional data privacy and security be there by default. Trust big data consulting firms to mitigate risks and guarantee compliance with the latest security protocols when launching a big data project:
- Implementing a privacy-by-design approach;
- Encryption, anonymization, and other tried-and-tested methods;
- Ongoing monitoring of data governance throughout the data lifecycle.
AI & ML Consulting
Partner with Qulix for unparalleled expertise in artificial intelligence and machine learning techniques set to streamline big data management:
- Trained machine learning models and automated big data processing;
- Predictive analytics system implementation;
- Honed algorithms tuned to analyze massive data streams.
Business Intelligence Consulting
Gain an unbiased view of all key performance indicators, team strengths and weaknesses. Bring harmony of intelligence to your business:
- A robust ecosystem for enterprise data management;
- Self-service business intelligence capabilities easy to grasp for non-techies;
- Intuitive visualization for data-driven insights and streamlined decision-making process.
Join forces with a savvy consultant to turn
your big data beast into an obedient ally.
Big Data Consultancy Across Industries
Take any organization with an audience of 500+ clients, and we bet big data is its integral and largest component. And where big data abounds, a consultant's help won't be amiss.
- Detecting fraudulent activities;
- Forecasting market fluctuations;
- Evaluating creditworthiness;
- Automation of repetitive tasks;
- Personalization of financial services;
- Aid in regulatory compliance.
- Identifying customer preferences;
- Predicting purchasing behavior;
- Personalizing marketing campaigns;
- Supply chain optimization;
- Developing competitive pricing strategies;
- Minimizing stockouts.
Healthcare
- High-risk patient identification;
- Predicting infectious disease outbreaks;
- Population health management;
- Forecasting patient readmissions;
- Development of personalized treatment plans;
- Optimizing electronic health record systems.
Manufacturing
- Identifying and addressing inefficiencies;
- Inventory levels optimization;
- Implementing predictive maintenance;
- Production patterns and anomalies detection;
- Demand forecasting;
- Advanced quality control measures.
EdTech
- Detecting patterns and trends in students’ learning journeys;
- Creation of tailor-made learning paths;
- Identifying early signs of potential challenges or areas requiring support;
- Protecting confidential student and institutional information;
- Implementing interactive and immersive learning experiences and teaching methods.
Media & Entertainment
- Analyzing audience behavior, content consumption patterns, and social media sentiment;
- Identification of new revenue streams and monetization opportunities;
- Optimizing content distribution based on engagement metrics;
- Enhanced targeting of ad campaigns;
- Streamlining resource allocation by analyzing production costs, audience demand, and industry trends.
IoT
- Safeguarding IoT data with the latest data governance and security measures;
- Defining and implementing the right technology infrastructure for any IoT initiative;
- Integrating big data platforms with existing systems and apps;
- Extracting relevant insights from the vast amounts of information generated by IoT devices;
- Developing predictive big data analytics models based on the collected information.
- Streamlining supply chain operations;
- Improving fleet and inventory management;
- Transportation optimization by collecting valuable information on delivery routes, traffic patterns, and weather conditions;
- Analyzing inventory levels, production rates, and customer demand;
- Monitoring information from GPS devices, sensors, and surveillance cameras.
Oil & Gas
- Analyzing historical and real-time data to spot bottlenecks in the production process;
- Optimization of drilling operations;
- Predicting equipment failures;
- Identifying opportunities for cost savings;
- Improving safety measures;
- Reducing potential risks through geological surveys and climate pattern analysis.
Security
- Identifying vulnerabilities in existing security infrastructures;
- Developing comprehensive security strategies with data encryption, access controls, network monitoring, threat intelligence;
- Recommendations for proactive security measures;
- Prompt incident response to security breaches or cyberattacks;
- Developing and implementing robust data governance policies and procedures.
Agriculture
- Precision farming: crop planting, irrigation, fertilization;
- Pest and disease control;
- Optimization of logistics and distribution processes;
- Developing strategies to maximize crop yields while minimizing pesticide and fertilizer use;
- Implementing early warning systems for weather events or disease outbreaks;
- Developing contingency plans for market downturns.
Hospitality & Tourism
- Personalizing guest experience;
- Creating tailored travel packages;
- Obtaining information on traveler demographics, interests, and behaviors;
- Analyzing security incident data to identify root causes, assess vulnerabilities, and recommend prevention strategies;
- Using advanced data analytics to forecast demand for specific destinations;
- Identifying revenue opportunities in various market segments.
Our Big Data Toolkit
Check out our extensive tech stack tailored to realize your ambitious big data initiatives.
Azure Data Factory Azure HDInsight
AWS Glue AWS Data Pipeline
Data Analytics
AWS QuickSight AWS Athena AWS Redshift Azure Synapse Analytics Azure Stream Analytics
Data Storage
MongoDB PostgreSQL MySQL MS SQL ClickHouse Amazon DynamoDB Vertica Google BigQuery Amazon Redshift Azure Data Lake Storage
Data Platforms
Azure AI Search Elasticsearch Relevance Engine
Tableau Microsoft Power BI Apache Superset
Redash
AWS GCP Microsoft Azure
RASA Azure Cognitive / ML Watson TensorFlow R Accord.NETH2O.AI Microsoft CNTK dmlc MXNET Retrieval-augmented generation (RAG) LLM-powered agents + Microsoft Autogen Azure AI StudioAzure OpenAI
Denis
Syropushchinsky
Project Manager
Our team believes that one should not think of big data as something exorbitantly huge, indigestible, and expert-only. Instead, it is more like a treasure trove waiting to be explored, analyzed, and harnessed by those who desire to unearth its true value.
How Qulix Stands Out
20+
total years
of experience
500+
agile
professionals
200+
satisfied
customers
100m+
software users worldwide
FAQ
A data consultant is a professional who specializes in analyzing and interpreting huge volumes of unstructured and structured data to help organizations make informed decisions. They have expertise in relevant data analysis tools and can extract meaningful business insights from complex data sets, revealing hidden patterns.
These professionals also assist in data management and governance, ensuring that information is accurate, reliable, and securely stored. Data consultants are experts in developing data models and designing databases to efficiently capture and organize information. They can also create reporting tools and dashboards to present key findings and metrics to business users.
These are specialized services that offer guidance and support to businesses in managing and analyzing large and complex data sets, commonly referred to as big data. They can encompass a wide range of activities tailored to the goals of the big data consulting company’s client:
- Data discovery and evaluation: identifying and prioritizing the most valuable data sources for analysis;
- Data integration: collecting information from multiple sources and combining it into a meaningful format;
- Data validation: ensuring the accuracy and reliability of the analyzed information;
- Data quality improvement: enhancing data completeness, consistency, and reliability;
- Data mining: discovering patterns and relationships in a data set to derive actionable information;
- Data visualization: presenting analyzed data in a clear and visually appealing way to facilitate understanding and business decision-making.
Bare numbers aside, both big data consulting services and the big data market itself are worth billions of dollars and will continue their rapid growth in the future.
Want the exact figures? Here they are:
According to a report by IndustryARC, the global big data consulting market size is expected to reach $4.2B by 2026 at a CAGR of 32.3%.
The global big data and business analytics market was valued at $225.3B in 2023. It is projected to reach $665.7B by 2033, growing at a CAGR of 11.6% from 2024 to 2033, according to the latest report by Allied Market Research.
One of the primary responsibilities of such a consultant is to assist organizations in aligning their data strategy with their overall business plan. They collaborate with business leaders to understand their goals and challenges. Then, the consultants convert them into data-driven initiatives and projects. This may involve:
- Developing data-driven marketing campaigns;
- Optimizing supply chain operations;
- Improving customer experience with personalized recommendations.
Data strategy consultants play a crucial role in helping businesses harness the potential of emerging technologies such as artificial intelligence and machine learning. They advise on how to implement advanced analytics tools and algorithms, using data to promote breakthroughs and outpace competitors.
The role of a data management consultant is to offer strategic guidance and technical expertise in managing and optimizing data assets. This usually include the following activities:
- Assessing the current state of data management processes and systems;
- Identifying gaps and opportunities for improvement;
- Developing recommendations to enhance data management practices: implementing new technologies, creating a data governance framework or data quality standards;
- Collaboration with business leaders, IT teams, and other relevant departments to identify data sources, define data models, and refine data integration processes;
- Establishing and implementing data management policies and procedures for data access, privacy, security, and sharing to effectively manage data risks and ensure compliance with industry regulations such as GDPR and HIPAA;
- Assisting with data migration projects to guarantee accurate mapping, transformation, and validation of information during the migration process, minimizing the risk of loss or corruption.
Contacts
Feel free to get in touch with us! Use this contact form for an ASAP response.
Call us at +44 781 135 1374
E-mail us at request@qulix.com
Feel free to get in touch with us! Use this contact form for an ASAP response.
Call us at +44 781 135 1374
E-mail us at request@qulix.com
