Getting valuable information for business purposes becomes easier with data science development. These services allow businesses to test hypotheses and make better-informed decisions by using AI, ML, and other data science app development solutions.
Data science is a field of knowledge that provides valuable findings for businesses using computer programming, math, big data, Artificial Intelligence, data analytics, and other methods and technologies.
We have expertise in data science for sustainable development for different organizations, projects, and businesses. We use a wide range of data science and data analytics methods to get precise results.
Data pipelines engineering
We create pipelines to handle and study all kinds of business-related information, including big data.
Predictive and prescriptive analytics
We use different areas of data analytics to extract insights and make predictions that drive strategic thinking.
Machine learning implementation
We implement various ML solutions, choose the right algorithms, work out models, and search for answers in data sets.
Data visualization services
We implement modern technology to visualize the data using graphics, reports, charts, and other means of representation.
Natural language processing
We apply data science and AI solutions to process and analyze information from human language – texts and speech.
Stories of our clients’ success are the best proof of why data science is important for reaching better business results. Read some data science case studies with solutions and other success stories!
Data Visualization Case Study: Veritree
In this data visualization case study, we cover a top-market web app for a nature restoration company that helped to plant > 12 424 600 trees worldwide.
Data Protection Solutions: ZaveIT
Discover Fively expertise in data protection solutions: read how we created a cutting-edge data protection tool for a top-notch cybersecurity company.
B2B Insurance Claims Automation: Zentist
We have developed an insurance claims automation solution, which robotically validates 80% of all insurance claims with no human involvement.
Identity Verification Services Development: Swordfish
We built a set of top-market identity verification service apps that fully automated contacts data gathering and management, making it a 1-minute procedure.
B2B Blockchain Platform Engineering: BloXmove
The team of business analysts and engineers from Fively participated in the creation of a B2B blockchain powered platform for mobility providers.
Machine Learning Chatbot Engineering for an AR Company
Fively's engineers have provided machine learning chatbot development assistance to a large augmented reality platform headquartered in Europe.
Anti-Fraud Solutions: Data Protection Tool for a Telecommunications Company
Discover Fively expertise in anti-fraud solutions: read how we created a cutting-edge data protection analytical tool for a telecommunications company.
Data-Driven Real Estate Visualization and Property Search Implementation
Our engineers have built a data-driven real estate platform to help brokers and property owners strike win-win investment decisions in New York.
Fively is a custom software development company, that has been gaining recognition throughout its existence.
There are many use cases of data science: business development, process automation, data visualization and analytics, client experience improvement, and more other options.
We gather real-time information to analyze it with ML and AI technology, providing accurate and relevant results.
We use data science to automate repetitive tasks and build software for lead generation and client relation management.
We offer data science development services to provide valuable conclusions from information about your customers.
We use big data and other information sources to help healthcare providers in communication and diagnostics.
We apply best practices of data science product development to create solutions for traffic management.
We use modern ML and AI solutions to monitor and analyze data from different sources, detecting suspicious activity.
We implement data analytics to track the performance of different metrics and support profitable ways of doing business.
We use best practices of automation and visualization to build software creating informative reports.
Our specialists have a product mindset and diverse expertise, which is why clients choose us as their data science development consultant and a partner for new solutions engineering.
Transparency of development processes
Our team has a transparent approach to discovery and product development, sharing important details with a client.
Safety and sustainability of products
We apply best practices of data science for sustainable development, based on project goals and requirements.
Cutting edge technologies matching real-world vision
We are proficient in data science app development and related fields like Artificial Intelligence, Machine Learning, etc.
Easy and professional communication
We provide experienced research and development teams to make sure that our collaboration is most productive.
Fively employs officially certified Artificial Intelligence and Machine Learning engineers. Let’s schedule a call and discuss your project with genuine experts!
You can discover many advantages when starting to utilize data science solutions. Risk mitigation and support of decision-making are the primary ones, but there can be more for an individual company.
Personalizing customer experience
You don’t have to choose between data science or web development – use both to create a great customer experience.
It is easier to make info-driven decisions when you have data science development solutions to validate ideas.
If you want to understand how your company performs and what can be improved, reach out to a data science company.
Mitigating risks and managing setbacks
When it comes to risk management, you can benefit from Machine Learning and other services related to big data analytics.
You don’t choose between web development or data science when it comes to security, you just benefit from both.
Making correct predictions
With data science services, you can gather, analyze, and visualize information to predict future outcomes.
Data specialists at Fively are proficient in data science app development for many industries. We have completed a variety of projects, which means we understand goals and challenges of different businesses.
Bespoke apps are to change the face of the real estate industry.
Media & Entertainment
Give customers the best possible experience with top-market media apps.
Safeguard public health with creative technologies.
Even traditional industries require a modern approach.
Modern tech is a good basis for safe and sustained development.
Get a custom solution to boost your retail business.
Fively impresses with the excellent outcomes they achieve with service-minded attitude they maintain.
They did a wonderful job!
Diligent project managers and the team will go the extra mile when you need them to.
They have their heads in the game, and they care about the project rather than finishing it as quickly as possible.
Whenever we need more resources or help, we got very good results from their management.
We see them as partners who help us meet our goals rather than just contractors.
I was most impressed with their communication.
They were highly professional people while also being extremely friendly.
Excited to hear from you! We normally respond within 1 business day.
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Data science technology studies different approaches and methods to find and extract valuable information. A data science specialist typically has knowledge of computer programming, big data, Artificial Intelligence, neural networks, math, analytics, statistics, etc. The main objective of the process is to gather lots of high quality data and uncover something important for a particular business. Data science as a service provides valuable findings that may then empower critical decisions and overall strategy.
Daily activities of a data scientist include research and writing algorithms or code. Teamwork is an integral part of the process – several specialists join forces to find, source, clean, structure, analyze and understand the data. Data scientists help solve various business problems by discovering the right questions to answer and related sets of information. Companies use data science for sustainable development of various projects – for example, to find the most efficient way to conduct AWS and Google Cloud migration without serious risks and problems. The final result of the specialists’ work is a comprehensive report that answers questions, proves hypotheses, validates ideas, etc.
Data science solutions building starts with defining and problems and finding data sources, followed by different processes to transform the data and then create custom models that can provide answers to the stated problems.
Anyone who wants to become a data science developer should focus on studying programming and mathematics. It is also important to develop soft skills like attention to detail, patience, and a problem-solving mindset. There are many additional skills that allow you to provide the best data science and analytics services for any business, because having experience with these makes you an excellent specialist:
A business question is the main reason to look for data science service providers. Your question or challenge may be related to your current reporting tool, or the level of customer services, or employee productivity, or anything else. The important factor is your belief that the answer to this query lies in your company data. In this case, skilled data scientists will be able to analyze your current situation, find valuable information hidden within big data, make sense of what they found, and prepare visualizations for stakeholders to understand and make better decisions.
When it comes to data science business development, there is a whole lifecycle which means conducting a wide range of processes with various tools. A typical project includes these four stages:
Consulting on problems related to data science can mean all kinds of advice. For example, a company may want to consult on the best ways to analyze information before starting complex processes like system integration or business automation. Consultation services are always based on expertise of specialists in neural networks, machine learning, predictive analytics, big data, etc. Moreover, data science consulting services are based on a profound analysis and understanding of the company’s problems and strategic goals.
There are a number of metrics to measure how data science specialists perform, for example:
Data analysis is an integral part of customer success strategies, security checking, fraud prevention, etc. For example, an insurance company may use the services of a data science development firm to gather and study customer banking history, housing conditions, health information, accident statistics, and other pieces of data to decide which kind of insurance policy they can offer. Other industries that benefit from data science services are Banking, Retail, Healthcare, Education, Real estate, and more.
No, it is not. In 10 years, the specialists in data science and AI solutions will have more complex problems to solve, using entirely different skill sets and technologies, but their role will remain essentially the same – bridging the gap between complicated technical solutions and problems of various businesses.
There are three main processes of data transformation – collecting, structuring, and analysis. All of these are included in the data science model development life cycle.
What are the 4 types of data science? Data science includes several primary branches: Computer science, Machine learning , Data analysis, and Statistics. Each branch influences the process of handling information in different unique ways.
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