If you are reading this page, most likely, you are looking for ways to utilize your data. And we are happy to announce that you have come to the right place! Here, at Data Science UA, we provide comprehensive Big Data analytics services on every step of big data adoption: from the idea to the after-deployment support and control. If you are still unsure whether you have or need big data, refer to this page.
Checklist to determine if you have Big Data in your company:
- You have over 1TB of data;
- You need real-time operations;
- Your data comes in multiple formats;
- Your current infrastructure (Microsoft Excel, relational databases, ETL systems) cannot handle your data anymore.
If at least one of the following is true for your company, you probably have Big Data. However, if your only problem is that your SQL script takes an hour to execute, you most likely don’t have Big Data and look for Big Data analytics services.
What is big data analytics?
Big data analytics is the advanced analysis of structured and unstructured data, from different sources for determination and interpretation patterns in data sets.
What is big data analytics example?
Big Data analytics company assists in analyzing large data sets to get insights from the huge amount of data. People, organizations, and machines now produce massive amounts of data. IoT sensor data, social media, telecom data sets are just some examples.
There is also a list of organizations that certainly have Big Data and need Big Data analytics services:
- TV and Internet providers,
- mobile operators,
- banks and fintech companies,
- social media companies,
- some retailers,
- oil and gas companies,
- many factories and production companies.
The list goes on, but these are the examples of companies that most certainly have (and use) big data.
Founder and CEO, Elafris Inc
CEO and Founder, Reply
Michael Korkin, Ph.D.
CTO at Entropix, Inc.
AI R&D center for US product company
Together with American colleagues, our team creates a solution based on Computer Vision / Machine Learning.
– Reduce injury risks and prevent accidents in steel production with AI.
– Assemble a team of 10 talented engineers in a month amid quarantine.
Beauty and health stores chain (Ukraine)
The largest national retail chain of beauty and health stores, offering more than 30,000 assortment items.
– Up-sell and cross-sell enabling through a recommendation system.
– Clients churn prediction
Solar panels installer (Netherlands)
Rooftop solar panels installation for residential houses.
– Label roof coordinates and types based on satellite images (R&D project).
Odin money (US)
Odin is a global mobile banking app that offers keeping all your bank accounts in one place. Bills and financial milestones track through one integrated experience.
– Create and use ML model for the classification of all transactions.
Marketing teams tend to have lots of data about advertising, web analytics, customer behavior, etc. We can fine-tune all data analysis solutions to run like clockwork and free up more of your marketing team’s time to be strategic and effective. Our data science services company uses machine learning to:
– forecast sales;
– recommend products;
– analyze assortment and so on.
2. Retail (E-commerce)
Retail usually accumulates large amounts of data and is eager to use data analytics.
We can help with:
– customer analysis;
– assortment analysis;
– sales forecasts;
– marketing and advertising budgets optimization;
– increase the efficiency of merchandising and supply chain management.
Generation of optimized plans that enable predictive maintenance is one of the key goals for AI in manufacturing, as well it helps in:
– optimizing production lines and logistic chains;
– forecasting revenue;
– determining optimal employee workloads;
– setting up automated systems for monitoring compliance with safety regulations.
When artificial intelligence is working with IoT devices it means that data can be analyzed and decisions can be made without involvement by people. In a broad variety of industries where IoT is implemented, AI can help to identify patterns and detect anomalies in the data that smart devices and sensors transfer (for example, air quality, humidity, temperature, pressure, vibration, sound, and others).
FinTech companies usually work with sensitive information and have high-security standards. We take all necessary precautions to keep their data safe. Data Science UA can assist such businesses in:
– credit scoring;
– recommendation systems for both new and prospective clients.
6. Logistics & Warehouses
The transportation and warehouse industry is data-driven and needs analysis of historical and real-time data performed by intelligent algorithms. So our team can help with:
- traffic management improvements
- warehouse optimization,
- route optimization (“travelling salesman” problem),
- developing optimal loading systems and utilization systems for vehicles;
AI can help insurance companies deliver high-quality service as it has done for major leaders in other industries such as Healthcare, Fintech, etc.
Our data science agency can help to:
- create a more personalized service;
- predict the repair costs from historical data;
- provide a selection of better investments based on risks, preferences, and spending patterns;
- improve claims analysis.
Farmers aim to maximize production and profits using innovative software and data collection and analysis. We can make the analysis of historical and real-time images & data collected from databases, satellites, drones, IoT sensors that can help to:
- increase the yield of farmlands;
- ensure serviceability of farm equipment;
- monitor fields conditions, irrigation, soil moisture, etc;
- predict weather conditions.
Nowadays AI helps to deploy effective cybersecurity technology and allows businesses to solve major cybersecurity challenges: cyberattack, financial loss, or brand reputation damage. We can help cybersecurity teams to:
- analyze patterns in user behaviors and respond to changing behavior;
- identify cyber vulnerabilities and irregularities in the network.
AI is already transforming the healthcare industry—helping patients and hospitals optimize costs and increase care delivery through actionable insights. We can help to:
- manage and analyze data to provide;
- improve preventive care;
- create personalized treatments;
- make optimization of scheduling and bed management;
- detect and analyze patient patterns and correlations for better decision making.
Technologies we leverage
Languages: Python, R, Scala, SQL, C++, etc.
Visualization: Power BI, Tableau, Qlik, Matplotlib, seaborn, ggplot2, plotly, Bokeh
DBMS: Relational (MS SQL, PostgreSQL, MySQL), Non-relational (MongoDB, CouchDB, Cassandra etc.), Distributed (Hadoop etc.)
ML Frameworks: Tensorflow, Scikit-learn, SciPy, etc.
Architectures: On-premise, cloud, hybrid
Algorithms: Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning
Fields: Natural Language Processing, Computer Vision, Recommendation systems, Tabular data analysis, Signal Processing
Cloud Platforms: Amazon Web Services, Google Cloud Platform, Microsoft Azure
Why Choosing Data Science UA?
A strong Machine Learning engineering team.
We are deeply integrated into the Ukrainian Data Science community and can find all required domain experts to come up with the best Machine Learning development and Big Data analytics services;
We’ve worked with various industries before and can think out of the box.
Data Science UA is a Big Data analytics company with building and implementing ML solutions in different sectors. Besides, our team is not afraid to ask questions and look for information to learn new industry/business better;
Our technical know-how in ML solutions development is solid.
We’ve designed ML software for many businesses. Our Big Data consulting company values a T-shaped approach: each specialist should be an expert in a particular domain and have broad knowledge in other spheres. Thus, we are able to provide excellent ML development and Big Data analytics services, finding solutions to unique problems.
We offer flexible cooperation.
Data Science UA chooses the form of cooperation that will be the most suitable for the project’s needs and goals. You can work with us in team-extension-mode or on a project basis. We can create cross-service projects (like consulting + data analysis & data science + recruitment or any other combination);
We use proprietary technologies.
Our Big Data consulting company has worked in this domain for years and has developed and refined our own instruments. Now we can utilize some pre-built technologies to develop unique Machine Learning solutions tailored to the needs of your business;
We carry out R&D activities.
Our specialists love challenges and are eager to “do their homework”. We are an ML research company, keeping an eye on the new trends and looking for new ideas and approaches to bolster our services and products.
Data Science UA can help your organization use the power of Big Data in several ways:
What is big data analytics consulting?
Big data consultants provide help and advice in various aspects: from big data integration and storage to its analysis and usage. Big data analytics consulting refers to the latter case. It helps the business to enhance decision-making and detect hidden business opportunities using the power of big data.
How is Big Data Analytics leveraged further with Artificial Intelligence/Machine Learning
Artificial intelligence in the form of machine learning allows finding hidden patterns and valuable insights in data, including big data. Moreover, machine learning techniques are exactly what makes it possible to analyze big data in a reasonable time without the use of supercomputers.