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Top Big Data Analytics Companies in Novosibirsk


Are you searching for ‘Top Big Data Analytics Companies in Novosibirsk’? BusinessFirms' in-depth research will help you in your quest for major business intelligence companies and big data analytics consulting companies. Businesses are searching for Top business intelligence consulting services that can assist them in big data analytics to ultimately make the right business decisions. There are several companies in Novosibirsk that claim to be the Top in this domain. To help enterprises Look for the right firm, BusinessFirms has curated a list of Top data analytics companies in Novosibirsk. Look at the following list of most promising contenders in the Big Data industry that helps businesses adopt data analytics in the right way.

3 Companies

profile

Hawfinch

No Reviews

We know software. We build it to be reliable and scalable, and the way we can be proud of it. We love our job and the technology behind it.

  • dollar

    $25-49/hr

  • user

    2 to 9

  • calender

    2018

  • location

    Russia

profile

Microservices.Team

No Reviews

We develop enterprise software and business applications. Our primary goal is to fulfill the client's business tasks and achieve the requested result. We are entrepreneurs by our own, so that's the reason we focused on our client's aims with the highest business priority. Our way to the development process is not to maximize customer's budget, but to maximizing customer's benefits and the positive product influence on business.

  • dollar

    $50-99/hr

  • user

    50 to 249

  • calender

    2013

  • location

    Russia

profile

True engineering

No Reviews

True Engineering is an independent innovation laboratory providing the full range of IT services to create new competitive advantages for the customer. We are a long-term partner, collaborate with market leaders and have been creating IT products that transform companies’ core business for more than 15 years.

  • dollar

    $25-49/hr

  • user

    50 to 249

  • calender

    2005

  • location

    Russia

Frequently Asked Questions

Big Data refers to extremely large sets of digital data that can be analyzed to reveal patterns, trends, and associations, particularly relating to human behavior and interactions.

Business Intelligence (BI) is the process and technologies used by organizations to analyze data and present actionable information to help executives, managers, and other corporate end users make informed business decisions.

Big Data and BI can help your business understand and target customer behaviors, improve operational efficiency, and identify market trends. This allows for smarter business decisions and potentially a significant competitive advantage.

Important factors include the provider's experience, their technological capability, the scalability of their solutions, customer support, and how well their solutions can be integrated with your existing systems.

Yes, managing large volumes of data comes with security concerns such as unauthorized access and data breaches. It is critical to ensure that your service provider employs robust security measures to protect your data.

The cost can vary widely depending on the scope and complexity of the project, the technology used, and the service provider. It is best to discuss your specific needs with providers to get a precise estimate.

Yes, small businesses can also leverage Big Data and BI to gain insights into customer behavior, improve efficiency, and enhance decision-making, which can be critical for growth.

Data visualization is the graphical representation of information and data. In BI, it helps users to see analytics presented visually, so they can grasp difficult concepts or identify new patterns more easily.

Consider whether you have enough data to analyze, whether you have the personnel skilled to manage and interpret data, and if you have a clear business objective that Big and BI can help achieve.

Current trends include the increased use of artificial intelligence and machine learning to drive deeper insights, the growing importance of data governance, and the expansion of cloud-based BI solutions which provide more flexibility and scalability.

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