Leading agencies include Actowiz Solutions, Exadel and Actowiz Solutions LLP. A total of 3 Big Data & BI providers in Walnut Creek, United States are ready to help. They serve clients such as Retail, Finance, Food Delivery, Travel, Technology, Healthcare, E-commerce, Real Estate and Financial Services. Local internet speeds average 279.93 Mbps, supporting fast development and collaboration. Population of Walnut Creek, United States is 70,166. Average local salaries are around $80,116, reflecting market rates.
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Exadel is a global software development company that helps organizations transform their businesses through technology. With over 20 years of experience, they offer a range of services including mobile app development, software development, big data and BI, AI development, IT services and consulting, cloud computing services, business services, and more. By partnering with Exadel, companies can gain expertise in digital transformation, improve their operations, and increase revenue. Their team of experts works closely with clients to understand their needs and provide tailored solutions that meet their goals.
team of 501 - 1000 people
20+ years of industry experience
contact for pricing
contact for pricing
Actowiz Solutions is a world-class web scraping platform that empowers organizations to deliver the correct information from any platform to the right people at the right time. With their expert team, they extract and process large volumes of data from various sources, including websites, apps, and social media platforms. This enables businesses to make proactive data-driven decisions, optimize pricing strategies, and stay competitive in their respective industries. Their services include data scraping, API integration, data processing, and data analytics, making them a one-stop-shop for companies looking to harness the power of web data.
team of 2 - 10 people
5 years of industry experience
contact for pricing
min project budget $1k
At Actowiz, we specialize in transforming the way people shop online. Our team of experts uses AI-powered visual highlighting to enhance eCommerce product consistency and improve customer experience. We also research consumer preferences by scraping DoorDash restaurant and menu data in Australia. With our cutting-edge technology, we help businesses like Zara optimize their pricing dynamics and discount mechanisms. By providing actionable insights, we empower companies to make informed decisions about their e-commerce strategies.
team of 2 - 10 people
5 years of industry experience
contact for pricing
min project budget $1k
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Post your project — free & easyBig 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.
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.
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.
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.
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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