In today’s fast-paced digital world, businesses are inundated with data. Big data, as it is known, encompasses structured and unstructured information originating from sources such as web services, databases, transaction data, social networks, mobile devices, and many more. The problem, however, is that this influx of data makes it increasingly difficult for businesses to cut through the noise and extract meaningful insights. The answer is data science.
Adopting a powerful data-driven approach to solving business problems through the use of data science, allows organizations to predict the future, forecast trends, identify opportunities, and make informed decisions. Applications are almost endless; if you have a problem that can be solved by leveraging data, we can help bring your project to life.
Unlock improvements across your business
Businesses are now taking a data-driven approach to solving a range of problems and improving processes. From enhancing customer experience to predicting future demand, the following are just some of the ways in which data science is helping businesses become more dynamic, responsive, and profitable:
Anomaly detection
Monitor transactional data for suspicious patterns of behavior in real-time, and take steps to prevent fraud before it occurs.
Social listening
Find out how your customers, or potential customers, feel about certain products and services through sentiment analysis performed on social media comments and reviews.
Churn prediction
Using artificial intelligence, it is now possible to predict which customers might be considering leaving, and to take steps to retain them.
Demand prediction
Icrease the accuracy of your forecasting and plan ahead to meet demand, and adjust pricing to optimize sales.
Recommendation engines
Analyzing customers’ previous buying habits or behavior allows you to predict which products they will be interested in, and present them on your website, or through email marketing campaigns, to increase sales.
Forecasting and visualizing complex data with Machine Learning
Forging a forecasting prototype using real energy consumption data
NeedEnergy wanted to visually present their data-based solutions for energy optimization. The goal for Netguru experts was to create advanced visualizations for the energy management system and an interactive demo of an energy consumption forecasting model built with machine learning that uses real, historical data.
After only two months of work by two machine learning engineers, Netguru owns a proprietary and very user-friendly app that provides a precise estimate of the bench size. There is also an option of checking the bench size for each separate stack, allowing managers of each division to now quickly access those numbers and see the history of the bench size.
Industries in which data science is popular
Data science is certainly becoming more mainstream in all sectors, however, in some areas, the analysis of big data and application of artificial intelligence is revolutionizing whole industries. Here are some of the industries that are taking data science to the next level:
Data science in fintech
Banks and financial institutions are using the vast amounts of data available in the financial services sector to improve processes, enhance customer experience, and protect their businesses from cybercriminals. Artificial intelligence is being leveraged across areas such as fraud detection, credit risk management, regulatory compliance, and money laundering, with insights available in real-time to significantly reduce risk, and improve customer experience.
Data science in healthcare
The healthcare industry is characterized by inefficiency and high costs. Data science is changing that by analyzing patient files, health plans, insurance records, and other structured and unstructured information to make lifesaving diagnoses, provide treatment options, and recommend preventative care.
Data science in retail & e-commerce
Retailers are using data science to tap into their exponentially growing amounts of data and are making gains in every area. Customer experience has been transformed, with retailers now able to provide customized offerings to customers based on their buying habits and preferences. Predictive analytics enable retailers to identify trends and forecast demand, as well as efficiently manage inventory and intelligently set prices.
Data science in manufacturing
Manufacturers are using data science to uncover new opportunities to optimize their operations; improving their products while drastically reducing costs and inefficiencies. In particular, machine learning is being successfully used to increase yields through the reduction of scrap rates, improve production equipment uptime, and streamline inventory management.
At Netguru, our Data Science services are built upon extensive expertise and robust processes, refined over years of experience. Our data science experts have successfully developed applications spanning a variety of industries, so whatever your goals are, you can be sure your project is in good hands.
How we work?
Understand what data you have, what you can do with it, and assess its quality.
Start with a clear vision of what you are aiming to achieve.
Transform raw data, look for patterns, build and validate models to gain meaningful insights.
Use your findings to enhance processes, visualize data to track important metrics, and improve your business.
What is Data Science?
At its core, data science is a blend of scientific methods, statistics, algorithms, and technology that turns vast amounts of raw data into meaningful insights. This allows businesses to understand complex patterns and behaviors, and use this knowledge to achieve a competitive advantage, support growth, and ultimately increase profitability.
Whereas traditional business intelligence has been limited to providing analysis of historical data, decision-makers now have the ability to make accurate, informed decisions based on real-time business intelligence, as well as predicting trends and forecasting what the future holds.
Data science is made up of several different fields, such as machine learning, data mining, text mining, and predictive analytics. These are often used together to produce the most powerful results.
How your business can benefit?
Organizations that leverage the power of data science can create significant business value through its many benefits. These include:
Improved decision making. With the ability of data scientists to create accurate models that can simulate potential courses of action and their respective outcomes, businesses can now make decisions based on quantifiable evidence. In addition, by recording and analyzing performance metrics, decision-making processes also become more efficient over time.
Identification of opportunities. Analyzing big data enables organizations to gain insights not only into what is currently happening inside the business, but to more accurately predict what will happen in the future. This gives companies the ability to identify growth opportunities, encourage innovation and new product development, and uncover areas for improvement within the organization.
Better recruitment. It is now possible to use the vast amount of data that is readily available, to make recruiting the best talent faster and more precise. With data science, information from corporate databases, job search websites, and even social media can be mined to find the right employees who will meet the organization’s needs, fit in with the company culture.
Data engineering vs data science
Data engineers focus on the collection and preparation of data for analytical uses, providing it to data scientists in a usable format so that they can interrogate the data to produce meaningful insights. Typically, data engineering includes building data pipelines to collate information from various sources, cleansing and validating data, then structuring it to be used in particular analytics applications, such as machine learning, and data mining.
Big data is the fuel of data science
More and more organizations are tapping into data to address business challenges. Whether you are just starting to delve into the world of data science, or you’re already using established data-driven solutions, we can help you ensure your data is up to the task. If you need support with cleaning your data, integrating different data sources, or making your data flows more efficient, don’t hesitate to speak to us.
Why work with us
Netguru is experienced in helping organizations across a range of industries get the most out of data science solutions. Working to the industry’s best practices, our experts will help you identify the right approach to tackling your business problem and bring your ideas to life.
Increasing cost-efficiency through improved bench prediction
Enlisting machine learning to better estimate talent needs
Managing bench assignments for our delivery team members is a challenging task. We work in a very unpredictable environment where both supply and demand change constantly. By applying our machine learning models we've created an app that was able to predict our demand and plan internal initiatives more efficiently.
Monitoring your baby’s sleep remotely from another room
A free, user friendly application that replaces electronic baby monitors. The app works over WiFi, not the Internet, so your baby’s data isn’t shared with any third-party servers.
To achieve a high performance, we used custom audio processing algorithms and neural networks to handle the classification of the signal. The system can detect a baby’s cry rapidly and accurately. Our designers handled the UX to make the app easy and intuitive to use.
Working with the Netguru Team was an amazing experience. They have been very responsive and flexible. We definitely increased the pace of development.
And this is what I appreciate in working with Netguru: that you take the ownership, that you're experienced, and that we can rely on you.
We have found Netguru to be very professional, proactive and great to work with. They have done a good job of understanding the skills and requirements of our teams and have matched their engineers accordingly.
Netguru in numbers
15+
Years on the market
600+
People on Board
1000+
Projects Delivered
73
Our Current NPS Score
Delivered by Netguru
We are actively boosting our international footprint across various industries such as banking, healthcare, real estate, e-commerce, travel, and more. We deliver products to such brands as solarisBank, PAYBACK, DAMAC, Volkswagen, Babbel, Santander, Keller Williams, and Hive.
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Data-driven SME lending platform provider
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Investment platform that enable to invest in private equity funds
$28M
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Self-care mobile app that lets users practice gratitude
$5M
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Curious whether Netguru is theright fitfor your project?
We understand that every project is different and requires an individual approach. That is why we offer a free consulting session with an experienced digital transformation consultant. During the session, you will have a chance to find out where should you start with digital transformation and what working with Netguru may look like.
Fill the form to sign up for the free Data Science Consultation
Grzegorz Mrukwa
Data Science Manager
Drawing from years of commercial and academic experience, Grzegorz helps our clients discover how AI could empower their business.
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Working with the Netguru Team was an amazing experience. They have been very responsive and flexible. We definitely increased the pace of development.
And this is what I appreciate in working with Netguru: that you take the ownership, that you're experienced, and that we can rely on you.
We have found Netguru to be very professional, proactive and great to work with. They have done a good job of understanding the skills and requirements of our teams and have matched their engineers accordingly.
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