Data analytics is revolutionizing how businesses operate in 2025. You can see its impact in the numbers.
This surge reflects the growing demand for innovative solutions. Data analytics companies are at the forefront, driving transformation across industries and enabling smarter, faster decisions.
Data analytics plays a pivotal role in today’s digital world. It involves examining raw data to uncover meaningful patterns and insights. You’ll find that it includes activities like cleaning, processing, and applying statistical techniques to data. Businesses rely on data analytics to understand customer behavior, optimize operations, and innovate products. Governments use it to improve public services and make informed policy decisions. Even healthcare sectors leverage data analytics to predict disease outbreaks and enhance patient care.
The scope of data analytics continues to expand. It now covers areas like big data analytics, predictive modeling, and real-time insights. As organizations adopt data-driven models, they gain the ability to make faster and more accurate decisions. This growing reliance on data analytics has created a surge in demand for skilled professionals, with job growth projected at 35% from 2022 to 2032. Whether you’re a business leader or a data enthusiast, understanding the scope of data analytics is essential for staying ahead in 2025.
The data analytics market is evolving rapidly, driven by technological advancements and changing business needs. Here are some key trends shaping the industry:
Trend Description | Statistic |
---|---|
Projected market size | $132.9 billion by 2026 |
CAGR from 2016 to 2026 | 30.08% |
Organizations adopting AI | 65% |
Organizations enhancing data-driven decision-making | 95% |
Self-service BI market growth | From $6.73 billion in 2024 to $27.32 billion by 2032 |
You’ll notice that self-service BI tools are becoming increasingly popular. These tools empower non-technical users to analyze data independently, reducing reliance on IT teams. Additionally, the integration of AI and machine learning into data analytics platforms is transforming how businesses operate. Companies are now using predictive analytics to anticipate trends and prescriptive analytics to recommend optimal actions. These trends highlight the importance of staying updated with the latest innovations in data analytics.
Data analytics companies are at the forefront of business transformation. They help organizations monitor technology trends, analyze customer pain points, and identify inefficient processes. By leveraging data science solutions, businesses can optimize operations and create new data-driven models. For example:
These examples show how data analytics firms drive innovation and efficiency. By adopting data science consulting services, you can unlock new opportunities for growth. Whether it’s through personalized customer experiences or streamlined operations, data analytics consulting enables businesses to thrive in a competitive landscape.
Tip: Partnering with data analytics companies gives you access to cutting-edge tools and expertise. This collaboration ensures your business stays ahead in a data-driven economy.
Partnering with data analytics companies gives you access to advanced tools and specialized expertise that might otherwise be out of reach. These companies employ teams of skilled professionals who stay updated on the latest techniques and technologies. By outsourcing your analytics needs, you can leverage their knowledge to gain a competitive edge.
For example, companies like Toyota, HSBC, and Patagonia have successfully utilized data analytics to transform their operations:
Company | Application of Data Analytics | Outcome |
---|---|---|
Toyota | Predictive maintenance to foresee machinery issues, reducing unplanned downtime. | Enhanced productivity and continuous improvement in manufacturing techniques and product quality. |
HSBC | Advanced analytics for risk management and customer segmentation. | Improved lending decisions and tailored financial services, enhancing customer satisfaction. |
Patagonia | Data analytics for sustainability in supply chain management. | Reduced environmental impact and strengthened brand loyalty through eco-friendly practices. |
These examples highlight how data analytics consultants provide the tools and expertise needed to drive innovation and achieve measurable results.
Note: Outsourcing to data analytics companies also offers flexibility. You can choose services tailored to your specific needs and budget, ensuring you get the most value from your investment.
Data analytics empowers you to make informed decisions based on objective, factual information. By eliminating guesswork, you can focus on strategies that deliver results. Data-driven decision-making improves efficiency and reduces bias, enabling you to respond quickly to market changes.
Industries like airlines and healthcare demonstrate the power of data-driven insights:
Industry | Evidence of Improvement |
---|---|
Airline | Airlines use predictive analytics to optimize flight schedules and improve operational efficiency by forecasting demand based on passenger data. |
Healthcare | Hospitals apply prescriptive analytics to enhance patient outcomes by analyzing treatment effectiveness and resource utilization. |
These examples show how data analytics solutions help businesses uncover actionable insights, leading to better outcomes. Whether you aim to optimize operations or improve customer experiences, data-driven decisions ensure you stay ahead in a competitive market.
Data analytics companies help you identify inefficiencies and streamline processes, leading to significant cost savings. By analyzing your operations, these companies uncover problem areas and recommend solutions to enhance productivity.
For instance, in healthcare, data analytics reduces costs by optimizing resource use while maintaining high-quality care. Businesses across industries achieve similar results by leveraging operational analytics to improve performance and cut expenses.
Outsourcing your analytics needs can also be more cost-effective than building an in-house team. You avoid the expenses of hiring, training, and maintaining full-time staff while gaining access to scalable resources. This approach ensures you can adapt to changing demands without overextending your budget.
Tip: Partnering with data analytics companies allows you to focus on your core business activities while they handle the complexities of data science consulting. This collaboration drives efficiency and supports long-term growth.
In today’s data-centric world, staying competitive means leveraging data analytics to its fullest potential. Partnering with data analytics companies gives you a significant advantage by providing access to specialized expertise, advanced tools, and scalable solutions. These companies help you harness the power of big data analytics to uncover trends, predict outcomes, and make data-driven decisions that propel your business forward.
Outsourcing your data analytics needs offers several benefits compared to building an in-house data team. The following table highlights the advantages:
Advantage | Outsourcing Data Analytics | In-House Data Team |
---|---|---|
Cost Savings | Yes | No |
Access to Specialized Expertise | Yes | Limited |
Scalability | Yes | Limited |
Flexibility | Yes | Limited |
Reduced Resource Constraints | Yes | No |
Improved Data Quality | Yes | No |
By outsourcing, you reduce costs associated with hiring, training, and maintaining a full-time team. You also gain flexibility to scale your operations as your business grows. Data analytics consultants bring cutting-edge knowledge and tools, ensuring your data quality remains high and actionable.
Data analytics companies empower you to make smarter, faster decisions. They provide platforms that integrate seamlessly with your existing systems, enabling real-time insights. This capability allows you to respond quickly to market changes and customer demands. For example, predictive analytics can help you anticipate trends, while prescriptive analytics recommends the best course of action. These tools ensure your strategies are always backed by data science, giving you a competitive edge.
Innovation thrives when you focus on your core business activities while experts handle your data needs. Data science consulting services streamline your operations, uncover inefficiencies, and identify growth opportunities. This collaboration fosters a culture of data-driven decision-making, where every choice is informed by accurate, timely insights.
In a data-driven economy, the ability to adapt and innovate determines success. Partnering with data analytics companies ensures you stay ahead of the curve. Whether you aim to optimize processes, enhance customer experiences, or explore new markets, these partnerships provide the tools and expertise you need to thrive.
Tip: Embrace data analytics as a strategic asset. By leveraging the expertise of data analytics consultants, you position your business for sustained growth and success.
Accenture stands out as a global leader in data analytics, offering a wide range of services tailored to meet diverse business needs. The company employs over 492,000 professionals across 200 cities in more than 120 countries, ensuring a global reach. Accenture’s collaboration with SAS for over 15 years on more than 250 projects highlights its commitment to delivering cutting-edge solutions. With a team of over 1,800 skilled data analysts, Accenture provides expertise in areas like big data analytics, predictive modeling, and real-time insights.
Accenture’s data analytics services empower businesses to unlock the full potential of their data. By leveraging advanced tools and methodologies, the company helps organizations optimize operations, enhance customer experiences, and drive innovation. For example, Accenture’s partnership with SAS has enabled businesses to implement advanced prescriptive analytics, improving decision-making and operational efficiency. Whether you aim to streamline processes or explore new markets, Accenture’s solutions ensure you stay competitive in a data-driven economy.
IBM is a global leader in technological innovation, providing advanced AI solutions and hybrid cloud platforms. The company offers a comprehensive suite of data analytics services, including Business Analytics Software and Data Science and Analytics. Standout features like Data Fabric Access, End-to-End Data Management, and Outcome Prediction set IBM apart in the industry. IBM’s solutions also include predictive analytics and real-time reporting, enabling businesses to make smarter decisions.
IBM’s data analytics services help businesses thrive in a rapidly evolving digital landscape. By harnessing the power of data, IBM enables organizations to uncover trends, predict outcomes, and make informed decisions. For instance, its predictive analytics tools allow companies to anticipate market changes and adapt strategies accordingly. IBM’s commitment to innovation ensures that businesses can leverage advanced data science consulting services to fuel growth and improve performance.
SAS has been a leader in data analytics for over 40 years, transforming data into actionable intelligence. The company provides advanced prescriptive analytics, including optimization and simulation modeling, to enhance decision-making. SAS’s technology enables businesses to analyze vast amounts of data efficiently, offering tools that support real-time insights and predictive modeling.
SAS’s data analytics solutions drive business growth by turning raw data into meaningful insights. Companies use SAS’s tools to improve operational efficiency, enhance customer experiences, and achieve strategic goals. For example, its advanced prescriptive analytics capabilities help organizations identify optimal actions, reducing costs and increasing productivity. SAS’s long-standing expertise ensures that businesses can rely on its platform to navigate the complexities of a data-driven world.
Note: Researching client feedback and success stories is essential to gauge a company’s performance in the data analytics sector.
FineBI empowers you to explore data independently without relying on IT teams. This self-service analytics tool simplifies data analysis and visualization, making it accessible to users across all skill levels. Its drag-and-drop interface allows you to create dashboards and reports effortlessly. FineBI integrates with various data sources, including relational databases, big data platforms, and NoSQL databases. This capability ensures seamless data connectivity for comprehensive analysis.
FineBI also excels in real-time data visualization. You can monitor key metrics and receive alerts for anomalies, enabling proactive decision-making. Its enterprise-level data permission control ensures secure access, allowing you to assign roles and permissions based on responsibilities. By using FineBI, you enhance collaboration within teams and streamline data-driven decision-making processes.
FineDataLink addresses the challenges of data integration and quality. It synchronizes data across multiple systems in real time, ensuring minimal latency. This platform supports ETL (Extract, Transform, Load) and ELT processes, enabling you to preprocess data efficiently for building data warehouses. FineDataLink’s low-code interface simplifies complex tasks, making it user-friendly for data engineers and business intelligence teams.
You can refer to the logical chart below for a more detailed understanding of our product system:
With support for over 100 data sources, FineDataLink ensures seamless integration across diverse systems. Its API capabilities allow you to share data between applications without writing code. By leveraging FineDataLink, you build a high-quality data layer that supports advanced analytics and business intelligence initiatives.
FineReport transforms raw data into compelling visual stories. Its zero-code, drag-and-drop interface makes it easy for you to create interactive dashboards and 3D visualizations. FineReport supports over 60 chart types, including Sankey diagrams and Gantt charts, catering to diverse visualization needs.
You can try it out in the FineReport demo model below:
This platform also excels in adaptive design, ensuring dashboards are accessible across devices like smartphones and tablets. FineReport provides industry-specific solutions for sectors such as manufacturing and healthcare, enhancing efficiency and performance. By using FineReport, you unlock the power of data visualization to drive informed decisions and business growth.
Tableau stands out for its patented VizQL technology, which converts drag-and-drop actions into data queries. This innovation simplifies data exploration and visualization. Tableau integrates with R and Python, enabling you to perform advanced quantitative analyses. Its instant geocoding feature allows you to create maps with a single click, while the “Show Me” tool recommends the best visualizations for your data.
Tableau Pulse and Einstein Copilot accelerate decision-making by automating repetitive tasks and providing intelligent analytics. Tableau’s excellence has earned it the 2023 Readers’ & Editors’ Choice Awards by Datanami and recognition as a leader in Gartner’s Magic Quadrant for Analytics & BI Platforms.
Feature/Recognition | Description |
---|---|
VizQL | Converts drag-and-drop actions into data queries. |
R and Python Integration | Conducts advanced analyses and shares visual results. |
Instant Geocoding | Creates maps automatically with a single click. |
Show Me | Recommends optimal visualizations for your data. |
Tableau Pulse and Einstein Copilot | Automates tasks and enables intelligent analytics. |
Industry Awards | Recognized as the “Best Big Data Product” for BI and Data Visualization. |
Gartner Recognition | Leader in Gartner’s Magic Quadrant for Analytics & BI Platforms. |
Tableau empowers you to uncover insights quickly and share them across your organization. Its intuitive interface and advanced features make data analytics accessible to everyone, from beginners to experts. Businesses use Tableau to optimize operations, improve customer experiences, and drive innovation. For example, its instant geocoding feature helps retailers analyze location-based sales data, while its integration with R and Python supports predictive modeling in finance. Tableau’s tools ensure you stay competitive in a data-driven economy.
Oracle provides a comprehensive suite of analytics solutions designed to enhance decision-making. Its analytics software leverages machine learning to deliver actionable insights. The Oracle Analytics Platform offers ready-to-use services for diverse workloads, while the Oracle Fusion Data Intelligence Platform integrates prebuilt AI/ML models for innovative applications.
Oracle’s solutions help you improve performance and streamline operations. The platform enhances customer experiences by providing actionable insights into behavior and preferences. Businesses use Oracle’s tools to optimize processes, reduce costs, and achieve strategic goals. For example, the Oracle Analytics Mobile App analyzes employee data interests and sends real-time alerts, enabling proactive management. By adopting Oracle’s analytics solutions, you gain a competitive edge in today’s fast-paced market.
Feature/Offering | Description |
---|---|
Analytics Software | Utilizes machine learning for informed decisions. |
Advanced Analytics Solutions | Key asset for data-driven strategies. |
Adaptability | Continuously evolves with the IT landscape. |
Performance Improvement | Enhances operations and decision-making. |
Customer Experience | Improves customer satisfaction through data insights. |
Cloudera stands out as a leader in data analytics by offering a hybrid data platform that combines on-premises and cloud capabilities. This flexibility allows you to manage and analyze data across diverse environments seamlessly. Cloudera’s platform supports advanced big data analytics, enabling you to process large datasets efficiently. Its open-source foundation ensures adaptability, while its machine learning and AI integration provide predictive insights.
Cloudera’s cost-effectiveness is another key advantage. Compared to competitors, it delivers significant savings:
These savings, combined with its robust performance in complex queries, make Cloudera a reliable and economical choice for your data analytics needs.
Cloudera empowers businesses to unlock the full potential of their data. Its platform enables you to perform real-time analytics, optimize operations, and make data-driven decisions. For example, companies in the financial sector use Cloudera to detect fraud by analyzing transaction patterns. Retailers leverage its capabilities to personalize customer experiences, boosting sales and loyalty.
By adopting Cloudera, you gain a competitive edge through cost savings and enhanced performance. Its ability to handle complex queries ensures you can extract actionable insights quickly, driving innovation and growth.
Health Catalyst specializes in healthcare data analytics, offering solutions tailored to improve patient outcomes. Its platform integrates data from multiple sources, providing a unified view of patient information. Predictive analytics tools help you identify trends and make proactive decisions. Health Catalyst also focuses on real-time monitoring, enabling you to track patient health and intervene promptly.
The company’s expertise extends to wearable technology, which supports chronic disease management. By analyzing data from wearable devices, Health Catalyst helps you reduce hospital admissions and improve patient care.
Health Catalyst transforms healthcare organizations by enhancing data-driven decision-making. Its solutions have delivered measurable results:
Case Study | Key Contributions | Impact |
---|---|---|
Cleveland Clinic | Reduced medication errors through data analytics | Decrease in adverse drug events and improved patient safety |
Memorial Sloan Kettering Cancer Center | Enhanced cancer care with predictive analytics | Improved patient outcomes and personalized treatment plans |
Wearable Technology | Chronic disease management through real-time monitoring | Reduced hospital admissions and better patient control over health conditions |
These examples highlight how Health Catalyst enables you to improve operational efficiency and patient care, ensuring better health outcomes.
Splunk excels in providing a unified platform for data analytics, security, and operational efficiency. Its offerings include Splunk Cloud, which supports petabyte-scale analytics, and Splunk Enterprise, designed for private clouds or on-premises environments. Splunk’s AI-powered tools enhance productivity by automating incident responses and improving data visibility.
The platform integrates security solutions like Splunk Attack Analyzer and Splunk Security Essentials, ensuring robust protection for your data. Its full-stack visibility allows you to resolve issues quickly, regardless of your business size. Splunk’s flexibility enables seamless data sharing across departments, eliminating silos and fostering collaboration.
Splunk has become a trusted partner for organizations managing complex systems. Its tools help you monitor operations, detect anomalies, and secure data effectively. For example, businesses use Splunk to analyze system logs and identify potential threats, reducing downtime and enhancing security.
By leveraging Splunk’s capabilities, you can improve operational efficiency and make informed decisions. Its AI-driven insights ensure you stay ahead in a competitive market, positioning your business for long-term success.
Kanerika stands out as a trusted partner in the data analytics industry. The company specializes in leveraging advanced technologies to improve data management and visualization. You benefit from their expertise in creating tailored analytics strategies that align with your business goals. Kanerika’s solutions focus on simplifying complex data processes, enabling you to make informed decisions with ease.
One of Kanerika’s key strengths lies in its collaborative approach. The company works closely with you to understand your unique challenges and objectives. This partnership ensures that the analytics solutions they implement address your specific needs. Whether you aim to optimize operations or enhance customer experiences, Kanerika provides the tools and insights required to achieve your goals.
The global data analytics market is growing rapidly, with projections reaching $132.9 billion by 2026. This expansion highlights the increasing reliance on analytics for strategic planning. Kanerika’s ability to stay ahead of market trends ensures that you gain a competitive edge in this evolving landscape. Their expertise in big data analytics allows you to process large datasets efficiently, uncovering valuable insights that drive success.
Kanerika’s impact on businesses is profound. By partnering with them, you gain access to cutting-edge data analytics solutions that transform raw data into actionable insights. This transformation empowers you to make data-driven decisions, improving efficiency and boosting performance across all areas of your organization.
For example, Kanerika’s advanced visualization tools help you identify trends and patterns in your data. These insights enable you to predict market changes and adapt your strategies accordingly. The company’s focus on real-time analytics ensures that you can respond quickly to emerging opportunities or challenges. This agility is crucial in today’s fast-paced business environment.
Kanerika’s commitment to collaboration enhances its effectiveness. By working closely with you, they ensure that their solutions integrate seamlessly into your existing systems. This integration minimizes disruptions and maximizes the value of your investment in data analytics. As 95% of organizations aim to improve their data-driven decision-making capabilities by 2025, Kanerika positions you to stay ahead of the curve.
Businesses across industries rely on Kanerika to optimize operations, reduce costs, and enhance customer satisfaction. Their expertise in big data analytics allows you to process and analyze vast amounts of information, uncovering opportunities for growth and innovation. With Kanerika as your partner, you can harness the full potential of data analytics to achieve your strategic objectives.
Tip: Collaborating with Kanerika ensures that your data analytics initiatives are tailored to your needs, delivering measurable results and long-term value.
When selecting a data analytics partner, industry expertise and a proven track record should top your list of considerations. Companies with specialized knowledge understand the unique challenges of your industry. They can tailor solutions to meet your specific needs, ensuring better results. For instance:
Partnering with experts enhances decision-making and operational efficiency. For example, companies with a history of delivering successful projects provide insights into customer behavior and business challenges. This expertise allows you to make informed decisions and optimize operations.
Benefit | Description |
---|---|
Enhanced Decision-Making | Access to specialized expertise leads to improved decision-making capabilities. |
Improved Operational Efficiency | Partnering with experts enhances operational efficiency, crucial for leveraging data analytics. |
Better Understanding of Customers | Specialized firms provide insights tailored to unique business challenges and customer behavior. |
Choosing a company with a proven track record ensures you gain a reliable partner who can deliver measurable results.
The range of services and customization options offered by data analytics companies plays a critical role in meeting your business goals. Look for companies that provide comprehensive solutions, from big data analytics to data science consulting. A wide range of services ensures that all your analytics needs are addressed under one roof.
Customization is equally important. Your business has unique requirements, and a one-size-fits-all approach rarely works. Companies offering tailored solutions can adapt their services to align with your objectives. For example, some firms excel in integrating analytics platforms with existing systems, ensuring seamless operations. Others specialize in creating user-friendly interfaces for non-technical users, making data analytics accessible to everyone in your organization.
Criteria | Description |
---|---|
Assessing Data Volume | Estimate the volume of data you need to analyze, impacting processing power and storage capabilities. |
Future Growth | Consider potential growth in data volume and choose software that can scale accordingly. |
Integration with Existing Systems | Ensure compatibility with existing systems and data sources for seamless integration. |
Technical Features | Evaluate the software’s capabilities to handle specific data needs and quality of insights. |
Usability | Look for user-friendly interfaces and accessibility for non-technical users. |
Cost Considerations | Analyze all associated costs and potential return on investment. |
Vendor Reputation | Assess the vendor’s market presence, customer reviews, and support reliability. |
By evaluating these factors, you can select a company that aligns with your business needs and delivers maximum value.
Scalability and flexibility are essential when choosing a data analytics partner. Your business will grow, and your data needs will evolve. A scalable solution ensures that your analytics platform can handle increasing data volumes without compromising performance.
Flexible solutions adapt to changing business requirements. For example, a healthcare analytics system designed to scale for different patient influx levels can also adjust to various emergency scenarios. Similarly, Adobe Experience Cloud uses machine learning to analyze user behavior, enabling real-time content personalization at scale.
Consider these examples of scalable and flexible solutions:
Scalable and flexible solutions future-proof your investment, ensuring your analytics capabilities grow alongside your business.
Data security, compliance, and governance are critical when outsourcing data analytics. You must ensure that your data remains protected and adheres to global standards. Companies that prioritize these aspects help you mitigate risks and maintain trust with stakeholders.
Outsourced operations require continuous monitoring and auditing to ensure compliance with best practices. Leading data analytics companies adhere to data protection laws like LGPD, HIPAA, and GLBA. They also follow security standards such as ISO/IEC 27001 and the NIST framework. For example, under GDPR, companies must report data breaches within 72 hours. These measures safeguard your data and ensure legal compliance.
Governance plays a vital role in maintaining data integrity. It establishes clear policies for data usage, access, and storage. By partnering with experts, you gain access to robust governance frameworks that protect your data while enabling seamless analytics. This approach ensures that your business remains compliant and secure in a rapidly evolving digital landscape.
Tip: Always verify that your data analytics partner complies with relevant regulations and has a proven track record in data security.
Client testimonials and case studies highlight the tangible benefits of partnering with data analytics companies. They provide real-world examples of how businesses have transformed their operations through data-driven strategies.
For instance, one client achieved a 360-degree customer view, gaining insights into behavior and preferences. This allowed them to deliver personalized experiences that improved customer satisfaction. Another client in retail used analytics to track traffic and conversion rates, enhancing both online and offline engagement. Real-time stock management optimization helped another business streamline logistics and improve ordering processes. Additionally, companies have leveraged key performance indicators (KPIs) to assess and enhance employee productivity.
These success stories demonstrate the versatility of data analytics. Whether you aim to improve customer experiences, optimize operations, or boost employee performance, data analytics companies provide the tools and expertise to achieve your goals.
Note: Reviewing case studies can help you understand how data analytics solutions align with your business objectives.
Collaborating with data analytics companies offers significant cost savings. Building an in-house team requires substantial investment in hiring, training, and maintaining full-time staff. By outsourcing, you access high-quality services without these financial burdens.
For example, HSBC uses advanced analytics to enhance risk management strategies. This approach enables informed lending decisions and effective financial exposure management. Such outcomes highlight the return on investment (ROI) that data analytics delivers.
Outsourcing also provides scalability. You can adjust services based on your needs, ensuring cost-effectiveness. This flexibility allows you to allocate resources efficiently while focusing on core business activities. By leveraging data science consulting, you gain actionable insights that drive growth and innovation.
Tip: Evaluate the financial benefits of outsourcing analytics to ensure maximum ROI for your business.
Data analytics companies are reshaping industries in 2025, driving innovation and efficiency. Their impact is evident in the numbers: the global data analytics market is projected to reach $132.9 billion by 2026, with 65% of organizations adopting AI technologies and 95% enhancing data-driven decision-making. These advancements enable businesses to streamline operations, personalize customer experiences, and uncover growth opportunities.
Partnering with leading data analytics companies provides access to cutting-edge tools and expertise. You gain the ability to make informed decisions, optimize costs, and stay competitive in a rapidly evolving market. Solutions like those from FanRuan, including FineBI and FineDataLink, empower you to harness real-time insights and achieve strategic goals. Embrace these innovations to thrive in a data-driven economy.
Tip: Explore FanRuan’s solutions to unlock the full potential of your data and drive sustainable growth.
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The Author
Lewis
Senior Data Analyst at FanRuan
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