MVP
Test your idea thanks to MVP, determine your customers’ requests, research the market, and get information that will allow you to create a quality and unique product, avoiding all risks and unnecessary costs. With more than 10 years of experience in Data Science, Amazinum will help you create a mini version of your product or service.
By their nature, data science products are risky. Building a Data Science MVP can reduce that risk by focusing the early development life cycle on discovery and learning.
The onset of a data science project has a lot of unknowns – on the data, algorithm, systems, and business side. You could naively guess these unknowns upfront and set out to build a full-fledged data science product.
MVP
Test your idea thanks to MVP, determine your customers’ requests, research the market, and get information that will allow you to create a quality and unique product, avoiding all risks and unnecessary costs. With more than 10 years of experience in Data Science, Amazinum will help you create a mini version of your product or service.
By their nature, data science products are risky. Building a Data Science MVP can reduce that risk by focusing the early development life cycle on discovery and learning.
The onset of a data science project has a lot of unknowns – on the data, algorithm, systems, and business side. You could naively guess these unknowns upfront and set out to build a full-fledged data science product.
What is a Minimum Viable Product
Minimum
The most rudimentary, bare-bones foundation of the solution possible
Viable
Sufficient enough for early adopters
Product
Something tangible customers can touch and feel
Stage of service
Stage1. Clarification requirements
We carefully study your idea to understand business goals, or together with our specialists, we generate an idea from scratch. At this stage, we focus not only on technological features but also on market research, competitor analysis, and target audience. This allows us to provide a product that fully meets the client’s expectations and business needs.
What you get:
- Document of functional requirements
- Document of business requirements and business objectives
- Checking the solved problem
- Market testing of the idea
Stage 2. Design of scalable solution
We conduct thorough research and plan the MVP project so that we do not miss important details and challenges. By creating the project roadmap, we define the priorities and important functions that will be used in the development of the MVP.
What you get:
- The framework of the project
- Quantitative and qualitative analysis
- Project map
Stage 4. MVP launch
After testing the MVP and researching all improvements, optimization, and security, our specialists are ready to launch the product, service, or application. On the basis of data, tracking key indicators, and gathering information, we are ready to develop a complete product and scale up the project.
What you get:
- Development of DB
- Deployment of scalable solution
- Load testing
- Preparing documentations
Additional function
UI Development
After passing the last level, the Amazinum team is ready to move on to developing a full product and scaling your project.
Stage 3. MVP development
On the basis of the approved budget, execution deadline, and business requirements, we prepare the MVP project. In it, we determine which functions we give priority to, focus on the main aspects, look for ways to optimize time and resources and break the project into iterations (Roadmap). All this allows you to quickly adapt to the challenges that will arise, respond to changes, and adapt to user feedback throughout the development. At the same time, our team is flexible to changes and innovations because the main task is to satisfy the needs of the client.
What you get:
- Plan for development and implementation of MVP
- Description of basic functions and aspects
- List of tasks and technological needs
- Implementation of additional features
- Successive releases
- Sprints and updates at every stage
- MVP prototype
Why you need a MVP
Idea testing and market entry
Without spending a lot of resources and time to develop a complete product, test your idea in the market now. Consider feedback and user needs and avoid unnecessary costs. All this will help you attract users and make your product unique and high-quality.
Optimize costs
MVP gives you the basic and core functions of your product, avoiding unnecessary layering of technologies. Thanks to this, you will not spend a lot of money, but at the same time, you will get a working version of your program, service, or service. This will create a nice “financial cushion” for you in case of risks.
Attract investment
Prototypes that are already on the market and gaining user attention are more attractive to investors than just ideas. You can develop and scale your business without spending a lot of effort and money.
Customer-oriented product.
At each stage of development, you can involve a user. This will give you a better understanding of his behavior, need, and pain points.
FAQ
How does MVP differ from POC?
Proof of concept, prototype, and MVP represent distinct phases within the product development process. Proof of concept and prototypes are utilized during the pre-product phase and involve relatively modest to moderate investments. In contrast, MVP development marks the transition to the product stage, featuring essential functionalities and features to gauge the market reception of your concept.
Three Key Characteristics of a Minimum Viable Product
- It offers sufficient value to prompt initial usage or purchase by people.
- It showcases adequate prospective benefits to retain early adopters.
- It establishes a feedback mechanism to steer future development.
Is MVP reliable?
The reliability of an MVP implies that early adopters can have complete confidence in the solution, even if it’s introduced by a relatively new company, and that it has already built a reputation.
Set Points
Data Analytics
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
Data Engineering
- Data collection
- Data cleaning
- Data normalization and storing
- Data pipeline management
ML & AI
- Computer Vision
- NLP & LLM
- Recommender Systems
- Time Series Forecast
Our Industry Focus
Our industry knowledge and background give our clients and partners confidence that we understand their business. Here we highlighted a few top industries we are good at, penetrating to the smallest details and nuances of a certain branch.
SEO & Advertising
Healthcare
Safety & Security
Sport
E-commerce & Retail
Gambling and Casino
Technology (Localisation)
Amazinum Portfolio
Advantages of engaging the Amazinum company
7
Years
We offer you our 7 years of expertise in data science.
40+
ML Engineers
We have a large talent pool of highly-skilled ML engineers of Middle and Senior-level professionals.
16
Active Projects
Our team has successfully connected Machine Learning Engineers to technical departments in more than 19 companies.
We develop unique solutions created for a specific project and client’s requirements.
The Amazinum team takes market features and micro and macro risks in the development of POCs in order to optimize your efforts and resources.
We take care of the qualifications of each specialist we offer for the project. Due to the presence of more than 40 specialists, we select a Data Scientist who has experience in a specific domain with specific technologies.
You may not worry about the employee if the case of termination or suspending of assignment, as well you don’t need to hire the specialist in advance in cases of uncertain project start
Partners & Clients
We deeply appreciate our partners for cooperation. Every member of the Amazinum Team does their best to provide the highest quality of services and solutions. We satisfy all your needs and requirements.
Technologies
Learn about technology stack we use to implement data science:
Programming languages:
for data analysis and processing:
for creating solutions:
for API development:
for visualization:
Deploying solutions:
Databases:
SQL:
NoSQL:
Cloud Solutions:
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum
Hello there!
Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
Contact Us
Bazarnitska Alina
Client Partner
Ihor Khreptyk
Client Partner
Stopnyk Zoriana
Client Partner
Vitaliy Fedorovych
CEO, Data Scientist
