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.
Konrad Jarociński
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.
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 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.
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.
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.
Marco Deseri
Peter Grosskopf
Steve Shillingford
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Grzegorz Mrukwa
Drawing from years of commercial and academic experience, Grzegorz helps our clients discover how AI could empower their business.