Connect to 1 companies in Shenyang, China for Big Data & BI services!

Leading agencies include WINNER. A total of 1 Big Data & BI providers in Shenyang, China are ready to help. They serve clients such as Retail Brands, Shopping Centers, Government Agencies and Public Sector Clients. Local internet speeds average 244.67 Mbps, supporting fast development and collaboration. Population of Shenyang, China is 7,760,000. Average local salaries are around $10,680, reflecting market rates.

Average starting budget

$5,000

while min. project budget is $500

based on 1 profiles

Average hourly rate

$38

and starting from $25 / hr

based on 1 profiles

Popular skills

Computer VisionExplainable Machine LearningBig Data Technology Platform

Key technical proficiencies

based on found companies

Also specialize in

Big Data & BI (1)IT Services & Consulting (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.

Request a quote for your project

And chose the best one! It‘s free and takes only few minutes

Trusted by

Google

Microsoft

Airbnb

Spotify

Netflix

Found 1 matching agencies

WINNER

Shanghai, China

Big Data & BI IT Services & Consulting

Winner provides high-quality digital solutions for shopping centers, brand stores, government agencies, and more. Their services include Big Data & BI, IT Services & Consulting, which enable businesses to innovate and transform with AI and big data technology. With Winner's solutions, clients can benefit from improved governance, enhanced customer experience, and increased efficiency. By leveraging their technologies such as computer vision, explainable machine learning, and big data platforms, businesses can drive industry digital transformation and stay competitive in the market.

team of 26 - 50 people

20+ years of industry experience

rate $25 - $50 / hr

min project budget $5k

Not sure where to start? We’ll help you decide.

Tell us about your project and get matched with top-rated agencies. It’s fast, free, and backed by expert insight.

Post your project — free & easy

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.