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Top Big Data Analytics Companies in Plainsboro Township


Are you searching for ‘Top Big Data Analytics Companies in Plainsboro Township’? 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 Plainsboro Township 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 Plainsboro Township. Look at the following list of most promising contenders in the Big Data industry that helps businesses adopt data analytics in the right way.

2 Companies

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Pronix Inc

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Pronix Inc. is a global provider of Information Technology/Software Services & Solutions Company. Pronix was founded in the year 2010 Headquartered in New Jersey, USA with Offices across the USA, UAE India & Europe.

  • dollar

    N/A

  • user

    50 to 249

  • calender

    2010

  • location

    United States (USA)

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Damco Solutions Inc

No Reviews

Damco is a US-based technology solutions and IT Services company providing customer-centric services in digital, data, and product development. Our deep industry knowledge, ingenious IT services and solutions, proven capabilities in current and emerging technologies, mature development and testing processes- make us a trusted partner of clients worldwide. Strengthened by CMMi and IS0 quality certifications, we facilitate customers to compete in the fast-paced market dynamics and build a sustainable business advantage. In the past few years our top successful projects have featured lift and shift to cloud, platform-led modernization, app refactoring, UI/UX or code modernization, and emerging tech adoption. We have a vast pool of experienced resources available on and offshore, under flexibRead More

  • dollar

    $150-199/hr

  • user

    1,000 to 9,999

  • calender

    1996

  • location

    United States (USA)

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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