Explore 2 companies in Wavinna, Sri Lanka providing Big Data & BI services!

Leading agencies include Codimite and OneData Software Solutions. A total of 2 Big Data & BI providers in Wavinna, Sri Lanka are ready to help. They serve clients such as Agriculture. Population of Wavinna, Sri Lanka is 1,000.

Average starting budget
$5,000
while min. project budget is $500
based on 2 profiles
Average hourly rate
$25
and starting from $10 / hr
based on 2 profiles
Popular skills
C++JavaPython
Key technical proficiencies
based on found companies
Also specialize in
Big Data & BI (2)Cloud Consulting (2)Software Development (2)Mobile App Development (2)E-commerce Development (2)
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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Found 2 matching agencies

C
Wavinna, Sri Lanka

Codimite is a company that provides AI assisted offshore development services to businesses. Our team of experts use machine learning algorithms and data science techniques to develop custom solutions for clients. We help businesses improve their operations, increase efficiency, and reduce costs. With our expertise in mobile app development, software development, e-commerce development, big data & BI, ai development, cloud consulting, we can help your business thrive.

team of 2 - 10 people

5 years of industry experience

rate $25 - $50 / hr

min project budget $5k

O
Fort Mill, United States

Empowering businesses with agile and scalable software solutions. OneData Software Solutions provides a range of services to unlock the full potential of your data. From web development to cloud consulting, they offer dynamic staff augmentation services to provide on-demand resources and skills serving as an extension of your business. With a strong focus on customer service, they set a good standard by understanding customer needs and commitment to goals. Their mission is to equip individuals and organizations with knowledge and skills needed to excel in the software and technology world.

team of 26 - 50 people

10+ years of industry experience

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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