Big Data & Data
Science Company

Increase your income using big data analytics solutions. The Amazinum team provides you with big data services that will revolutionize your company and improve business strategy

What Is Big Data & How Can You Benefit with the Wise Big Data Solutions?

Artificial intelligence is the ability of machines and programs to analyze received information, draw conclusions, and make decisions based on them. The main characteristic is the possibility to learn, accumulate knowledge and apply it. The availability of big data opens opportunities for AI deep learning and its implementation in any field, making the automation of many processes and increasing efficiency.

In plain words, big data is the information that, with its huge volume, continues to grow exponentially. Such kits require special tools for managing, processing, and storing data. Even 20 years ago, it was difficult to imagine how much data would be passed on the Internet every second.

What gives such a large amount of data? The main task for every manager is to improve his business. Working with big data creates all the conditions for this.

What Do You Get from Machine Learning Development Services?

Better research of your client;

Improving communication with the client;

Obtaining competitive advantages;

Debugging and automation of processes;

Developing the potential of your business;

Increasing business efficiency.

In other words, big data processes today can cause significant improvement in your business processes.

Looking for a reliable and experienced Big Data Analyst to level up your business?

Schedule a meeting
with Amazinum Data Science Expert!

Big Data Analysis Solutions

The Amazinum team has vast experience working with big data and can offer you solutions that will save your resources, improve your business and allow you to at least double your revenue.
We will help you find the best way to process, analyze and understand the information provided.

Big Data Consulting

Let's Amazinum Data Science consultant provide you with the profound analysis of your big data infrastructure, architecture, data storage, etc. to build the basis of your data-driven management.

Data Visualization & Reporting

The Amazinum`s Data Science team will help you develop clear statistical graphs, charts, historical curves, etc. to achieve the highest understanding of your customer and increase the success of your company.

Real-Time & Near Real-Time Analytics

Let the Amazinum team set up your data analytics using a convenient interval for you. This will allow you to follow all trends and improve existing services.

Data Storage, Data Lakes Management

The Amazinum team of Data Scientists will help you organize the vast amount of big data sets, which can include a combination of structured, unstructured and semi-structured data, to create a foundation for further operations and management.

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Big Data Services & Solutions Use Cases

The fever of big data has led to the widespread popularity of their use and implementation in their services. That’s why successful companies and marketers are already using big data, enabling them to make faster and better business decisions.

Here are some examples to consider.

The hotel business industry in the modern world remains one of the most popular or important areas of tourism. That’s why they also use big data solutions to improve their services and generate more revenue. The Marriott hotels are leaders in their field. Their main tools are dynamic pricing. How does it work? With the help of big data, they analyze the economic situation, weather, user behavior, reservations, availability of services and much more. This led to an increase in their income per room by as much as 5%. At the same time, The Marriott hotels is so fanatical about working with big data that they follow the concert program at Madison Square Garden and thus adjust rates. What about registration with face recognition? The Marriott hotels are also implementing this technology. Now the waiting time at the reception is reduced. Moreover, the rooms have Amazon Echos, so that owners can receive valuable information about the problems and wishes of their guests.

McDonald’s is one of those companies that uses modern technology at the slightest opportunity. One of such technologies is artificial intelligence and big data, thanks to which the fast food restaurant becomes as customer-oriented as possible. McDonald’s services store customer data and then use it for further recommendations, advertising and suggestions. Data on store traffic, sales data, order templates, and customer behavior are also collected. Moreover, with the help of drive-thru, they study the presence of customers to determine when there will be a surge of customers and prepare for it. All of these big data collections improve the customer experience and help improve your services.

Airbnb is one of those companies that improves its business with the help of big data algorithms. Gathering information has become much easier and helps them increase the effectiveness of their own marketing. Based on big data solutions, Airbnb collects information and manages geographic metrics. Thanks to this, their service was able to attract more customers and develop comfortable conditions for use.

It is extremely important for a multinational payment company that works with a huge number of customers to protect its customers from fraud, anticipate customer behavior and analyze it. That’s why big data is the core of a company’s decision making. American Express integrates modern forecasting models based on revised transactions and introduces more than a hundred variables. Big data algorithms are also used by the company in the fight against fraud. Thus, the company retains its customers and establishes their trust.

Every detail of the information they receive from their customers is important for this commercial platform. It is going to form a certain advertising algorithm and strengthen the relationship with the customer by constantly improving all services and products. Big data allows Amazon to use the recommendations to facilitate the customer’s work and improve the shopping experience. In addition, big data is used to process product prices. The company can change its prices up to 2.5 million times a day. All this helps to increase profits, receive 35% of annual sales and attract more customers.

Accuweather has approached the issue of working with big data more globally, and turned it into a whole service. Weather can be a useful tool in the hands of the right brands, which is why Accuweather has found a way to use this mechanism for their own benefit. They created an online platform where developers could purchase API keys and implement them in their projects.

For this weekly newspaper, working with big data is a top priority. It is important for them to understand what their readers want and build relationships with them. Using big data allows you to manage customer preferences and manage their recommendations. As a result, subscription rates have risen sharply, but the implementation of big data solutions has allowed us to find the right marketing offers to serve customers and improve our own service.

An American retail company uses big data algorithms to properly distribute and personalize coupons. For good customer contact, they need to clearly define the coupon delivery timeline and customer data to receive. This makes The Kroger an example of how big data improves a company’s performance and makes it more efficient. The return rate of Kruger coupons is constantly ahead of the industry average by more than 60%.

Amazinum Portfolio

Check out a few of our recent projects

Enterprise SEO & content management platform: from data to action. How ML and AI leverage KPI in marketing

Enterprise SEO & content management platform: from data to action. How ML and AI leverage KPI in marketing

Check out how enterprise marketing company has teamed up with Amazinum Data Scientists to

  • Implement machine learning for in-depth keyword research;
  • Provide actionable semantic insights with the help of ML model;
  • Assist with Data Science consulting;
  • Improve customer support services.

Technologies

Learn about technology stack we use to implement data science:

Programming languages:

Python logo
for data analysis
and processing:
OpenCV logo
NumPy logo
SciPy logo
Pandas logo

for creating solutions:

spaCy logo
Spark logo
PyTorch logo
TensorFlow logo
Keras logo
Scikit-Learn logo

for API development:

RabbitMQ logo
Flask logo
FastAPI logo
Django logo

for visualization:

ploty logo
matplotlib logo

Deploying solutions:

Docker logo
GitLab logo
TensorFlow logo
DVC logo
Vertex.ai logo
KubeFlow logo

Databases:

SQL:

PostgreSQL logo
ClickHouse logo
mongo DB logo
BigQuery logo
MySQL logo

Databases:

NoSQL:

Bigtable logo
Elastic logo
Cassandra logo

Cloud Solutions:

Google Cloud logo
AWS logo