Data Science UA is exactly the Thor (perhaps, a little less sexy than Chris Hemsworth) you need to harness the power of those numbers. It will help you to grasp crucial insights to predict your products and services’ performance in the market, better understand your customers, adjust your strategy, etc. A Data science development company like ours makes necessary instruments available for each business, leading it through data transformation.
Why are we a top Data Science Development company?
- We provide complex data science product development. Our company is the only contractor you need, we’ll take care of everything or get support from our partners.
- Our partners (software development companies, mobile/web apps developers and cloud-development companies) are ready to solve any data science-related tasks that you might encounter.
- Our solutions are customized according to the client’s needs. We will find all the experts required to do the job and help you make your business thrive.
- You won’t be left on your own with unfamiliar technologies. We provide the whole cycle of data science development services: from consulting to software development and creating technical documentation.
How to start?
To better understand, where we are going and what we should achieve, our first step is to conduct preliminary research and identify objectives. We will guide you right where you need to be – our data science business development is in sync with your goals and business processes. Your products are in our focus and are what matter to us.
What technology to use?
Our company is technology agnostic – not ‘one size fits all’. We look at the problems, production, and business processes from all sides and views, selecting the most up-to-date instruments, best suited for the task at hand.
Is technology all that’s needed?
Data science software development alone is half the story – our goal is to make new instruments (for example apps or customized software) that slot into your business neatly. To master the endless flows of data we will arm you with not only data science apps and software but also with data culture.
What industries does Data Science UA work with?
Founder and CEO, Elafris Inc
CEO and Founder, Reply
Michael Korkin, Ph.D.
CTO at Entropix, Inc.
FAQ about Data Science Development
How can businesses use Data Science?
- Predicting market tendencies or finding emerging ones,
- Analyzing customers’ behavior,
- Better identifying target audience,
- Finding suitable recruits,
- Optimizing or automating business processes, etc.
What is the Team Data Science Process (TDSP)?
An agile, iterative methodology for data scientists to organize their work. It’s a new approach, introduced by Microsoft in 2016. TDSP life cycle includes:
- understanding the problem,
- accessing the data,
- creating and comparing different models,
- deploying the best model,
- getting customer’s acceptance.
What is CRISP-DM?
‘Cross-industry standard process for data mining’ or CRISP-DM is one of the most widely used schemes for data scientists to organize their work. We employ it to get the job done efficiently. Six major phases include:
- Business Understanding: determine business objectives and plan;
- Data Understanding: collect, describe, explore data;
- Data Preparation: select and format data;
- Modeling: create and assess model;
- Evaluation: check results;
- Deployment: decide, how to deploy, maintain and monitor the project