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Big Data & Cloud

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Big Data Development Services

We provide insights-as-a-service: you get actionable business insights out of your data based on specific data pipelines designed to achieve your goals.

How You Can Benefit from It

Our cross-functional team of data scientists, big data engineers, solution architects and consultants provide big data consulting and big data development services to help you leverage your data and the latest AI technologies for business value and get the most out of your investment.

  • Better Insights into Customers
  • Increased Operational Efficiency
  • Business Process Automation
  • Data-Driven Product Innovation and Promotion
  • Cut Costs from Smart Decision Making
  • Improved Market Intelligence

Our Approach

Business Challenge Review

We analyze your business environment and domain specifics, performance, data sources, define the challenges and set up goals. Our team of skilled business analysts and engineers brainstorm to suggest to you the solutions that address your challenges and take your business to new heights.

Data Collection and Preparation

We aggregate data into representations adapted for storage and processing. Preparation includes standardization, missing values handling, outliers filtering and other operations, e.g. specific to textual/visual information.We collect business data and transform it into a form processable by available intelligent tools.

Data Analysis

To analyze data we use cutting-edge statistical methods, and various machine learning and data science algorithms. The insights we get during data analysis, help the business owner see roadblocks or unobvious things in the business process and get them improved promptly.

Business Implementation

We use data science tools and cloud platforms like AWS, Azure, Google Cloud. If the client prefers an on-premise solution, we’re ready to create a custom system based on Python Scientific and ML Stack and integrate it into the client's business infrastructure using tools (databases, containerization, web frameworks, etc.) appropriate for the use case.


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