Unveil 2 companies in Tokyo, Japan providing Big Data & BI services!

Leading agencies include compdeep and NTT DATA. A total of 2 Big Data & BI providers in Tokyo, Japan are ready to help. They serve clients such as Retail, Finance and Healthcare. Local internet speeds average 165 Mbps, supporting fast development and collaboration. Population of Tokyo, Japan is 13,613,660. Average local salaries are around $25,882, reflecting market rates.

Average hourly rate
$13
and starting from $10 / hr
based on 2 profiles
Popular skills
SQLSparkHadoop
Key technical proficiencies
based on found companies
Also specialize in
Big Data & BI (2)Testing Services (1)
Complementary specialties
validated by client feedback
Big Data & BI (Business Intelligence) turns large volumes of raw information into easy-to-understand insights. Services include setting up systems to collect and store data from multiple sources, building dashboards and reports that highlight key trends, and running analyses to uncover patterns that help you make smarter choices. Sub-services may cover real-time data pipelines, data cleansing, visualization design, automated alerting for important changes, and training staff on how to explore and use the reports.
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Trusted by
Google
Microsoft
Airbnb
Spotify
Netflix

Found 2 matching agencies

N
Plano, United States

As a trusted global innovator, NTT DATA enables experiences that transform organizations and shape a better society. With expertise in Big Data & BI and Testing Services, they empower businesses to harness the power of generative AI. This technology revolutionizes industries by providing insights, automating processes, and driving innovation. By leveraging their services, clients can unlock new business opportunities, improve decision-making, and stay ahead of the competition. NTT DATA's team of experts provides strategic consulting and leading-edge technologies to deliver transformative results.

team of 1000+ people

30+ years of industry experience

contact for pricing

contact for pricing

c
Tokyo, Japan

At compdeep, they specialize in providing innovative solutions to help businesses make informed decisions. Their services include big data and business intelligence, enabling companies to gain valuable insights from their data. By leveraging advanced technologies, compdeep helps clients improve operational efficiency, enhance customer experiences, and drive revenue growth. With expertise in big data and BI, compdeep empowers organizations to transform their data into actionable knowledge. By adopting compdeep's solutions, businesses can unlock new opportunities and stay ahead of the competition.

team of 2 - 10 people

unknown

contact for pricing

contact for pricing

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Understanding big data & BI services for your business

Big data and business intelligence (BI) services help organizations collect, analyze, and visualize large volumes of data to make informed decisions. Today, these services encompass the extraction of actionable insights from massive datasets, allowing businesses to optimize processes, identify market opportunities, and enhance customer experiences.

Current state of the industry

The global big data and BI market continues to grow rapidly, projected to exceed $270 billion by 2026 (IDC). Businesses across sectors leverage these technologies to maintain competitiveness, adopting advanced analytics and machine learning algorithms to predict trends and streamline operations.

Common questions companies ask when hiring a provider

  • What specific tools and technologies does the agency specialize in?
  • How secure is our data during analysis and storage?
  • Can the agency demonstrate measurable outcomes from past projects?
  • What level of post-deployment support and training is provided?

Key benefits and potential pitfalls

Benefits: Enhanced decision-making capabilities, improved operational efficiency, customer insights, and gaining competitive advantage.
Pitfalls: Underestimating project complexity, potential data security risks, integration challenges, and unclear business objectives.

Project duration and timelines

Typically, big data and BI projects range from 3 months for simpler data visualization solutions, up to 12 months or more for comprehensive analytics and machine learning integrations. Timelines depend heavily on data complexity, project scope, and organizational readiness.

Technologies and tools commonly used

Providers often use technologies such as Apache Hadoop, Apache Spark, cloud-based solutions like AWS or Azure, and BI tools including Tableau, Power BI, and Looker. Selecting an agency proficient in the right tools for your data needs is essential for project success.

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