Data Science has been quickly creating a significant place in the tech sector. It’s nothing less than the new oil, it’s a resource from which companies can get plenty of benefits and earn more revenue while competing in the vertical market. If you are looking to explore new opportunities and comprehend your business well, contact one of these companies who are leaders in this technology. Have a look at the top 10 Data Science development companies based in San Francisco.
Zazz is a team of creative designers and developers building great digital products in Seattle and San Francisco. Our collective experience in the technology industry includes mobile app development, IOT application development, blockchain development with a design first approach to product development.
Appstudio is a full service Mobile App Design & Development Company offering services in Native iOS Development (Swift 3.0), Native Android Development (Java), React Native Development & Unity Game Development. They have collaborated with Fortune 500 companies, Startups and Mid Sized firms across a spectrum of industries, ranging from Health Care & Finance to On-Demand Services, to create Mobile apps that are actively being used by Millions of users across the globe.
ThirdEye Data is a Silicon Valley based one-stop shop for Data Sciences, Analytics, and Engineering Services. ThirdEye Data is a Big Data consulting services company that leverages Artificial Intelligence and Machine Learning technologies to build higher value technical solutions for customers worldwide.
Klardata is a full-service, business intelligence and analytics solutions agency for medium sized businesses and startups. Klardata uses cutting edge technologies and tools to make both your project and systems run as efficiently as possible. We work with the market leading database and BI technologies in the market Klardata provides a quick-to-market, low cost solution with start of the art visuals to present a clear story of your data.
DataSelf provides best-of-breed and easy-to-use analytics and business intelligence solutions for medium-sized businesses (SMB). DataSelf's solutions have grown out of more than 13 years of experience providing best-practice analytics, reporting and ultralight data warehousing solutions.
Transforming Business Through Advanced Data AnalyticsIn today’s competitive market, many companies struggle with how to strengthen customer relationships,increase revenue, and differentiate their business. How can businesses leverage vast amounts of customer data from enterprise-wide feedback channels and public sources such as social media, to meet these challenges and achieve key objectives? Solving these complex business problems through sophisticated data science and advanced analytics is a company called Beyond the Arc.
LatentView Analytics is the fastest growing knowledge services firm that focuses on Data Analytics and Insights generation by delivering results-driven analytics, optimization and decision management solutions. LatentView combines knowledge of marketing and customer management with deep capabilities in analytics, technology, and BigData.
3Q Digital has helped grow disruptive brands into industry leaders since its founding in 2008; its clients include Square, ModCloth, SurveyMonkey, Doctor on Demand, and Eventbrite. If you’re interested in learning more about 3Q Digital’s services, please visit https://3QDigital.com/contact.
Trianz simplifies digital evolutions through effective strategies and excellence in execution. Collaborating with business and technology leaders, Trianz helps formulate and execute operational strategies to achieve intended business outcomes by bringing the best of consulting, technology experiences and execution models.
For more than 20 years, Exadel has been developing enterprise and custom software solutions for Fortune 500 clients, including AT&T, Samsung, Bank of America, eBay, and GE. With 18 locations and delivery centers across the US and Eastern Europe, Exadel solves the most complex software engineering problems, offering a scalable and skilled mix of onshore and offshore resources at the industry's most competitive price.
Data can transform society. Through advanced data, great knowledge in science, humanity and business can be acquired. Big Data allows this, integrating all data and converting it into information to make organizations evolve, and that is why data-centric companies clearly outperform the rest.
Large volumes of data are an opportunity to extract knowledge of new and emerging types of content to streamline the business and answer previously complicated questions. 2.5 trillion bytes of data are created every day and 90% of data worldwide has emerged in the last two years. It is estimated that by 2020 there could be four times more digital data. The information comes from everywhere: sensors used to collect details about the weather, publications on social networking sites, digital images and videos, records of purchase transactions or GPS signals from the mobile phone, among others.
Add value and reduce IT infrastructure costs
Big Data allows to grow, acquire and retain customers. The analysis of large volumes of data can help you discover ways to improve customer interactions, add value and build lasting relationships because it allows you to know your ideas, tastes or motivations.
In addition, it optimizes operations and the fight against fraud and threats. The adoption of a large data strategy and its analysis can help to plan, manage and optimize operations, supply chains and the use of infrastructure assets to reduce costs, increase efficiency and productivity and limit threats.
On the other hand, Big Data transforms the financial and management processes. The analysis of all data can boost business agility and provide information to make the best decisions about business strategy and human capital management.
It also facilitates risk management. Explore the strategic options for business growth using new perspectives obtained from the exploitation of large data, and maximize vision, ensure trust and improve the IT economy.
Today, big data technologies rely on the architecture of traditional technologies for data processing, which fails to meet all the demands of scalability, performance or storage. Ideally, a short and high-performance file system, database and software should converge in these technologies.
What are the trends?
When talking about big data trends, it refers to three main groups: storage, communications and software. You cannot have big data if we do not have or develop other technologies. Communications are essential, particularly if we are using or making a contract on several servers that are physically at different geographical points.
Experiences like Apache Hadoop will continue to support the development of other tools. This type of big data analysis is becoming a service that prevents a large computer cluster or a supercomputer in our own laboratories in order to obtain the corresponding data. We pay per event and that makes it a common practice. These kinds of needs are also causing that what previously corresponded to a very specialized area for the use of experts, is now permeating all sectors, even in small and medium enterprises.
The data revolution is generating different benefits to health, science, business and government. This has allowed improving the quality of life of people and of course contributing to the development of the regions. However, it has also brought new challenges that are not contemplated in current methods, which range from data capture and storage to analysis and interpretation, which are topics to be investigated.
The main challenge today is to transform all that large amount of information that is being generated at this time, and the one we already have stored in different ways, in useful knowledge and bring these applications to organizations.
From here derive additional challenges such as the computational cost; aspects of computer security that are fundamental and that have become critical of other sectors; Integration with other systems and other aspects that each business or domain area has. In this scheme, rather than volume, speed and variety, we find the benefits for the big data application areas (companies, public administration, government, commerce, health, public services, etc.) due to the evolution of data and techniques for analyze them The goal of big data affects all these aspects as a development generator and we see in each of these areas specific examples of these applications.
Zazz, San Francisco and Data Science
Zazz has been transforming industries and businesses in San Francisco by implementing efficient Data Science solutions. Companies are not only getting more revenue but also implementing strategies to be future proof and plan ahead. If you are looking for productive Data Science development, do contact our team, we will show you the whole roadmap without any obligation.