Gala Solutions Inc. is expertise in Data Science and Machine Learning solutions. Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It is the same concept like data mining and big data: “use the most powerful hardware, the most powerful programming systems and the most efficient algorithms to solve problems”. It is combining various tools, algorithms and machine learning principle with the goal to discover hidden patterns from the raw data. Data science is ultimately using about this data in creative ways to generate business value.
Data science is the field of data analysis in order to understand and analyze hidden structure or pattern of the data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science and information science. The study of information come from modeling of the data and how it can be turned into a helpful resource in the creation of business and IT strategies. A large amount of structured and unstructured data to identify patterns can help an organization to manage cost, increase efficiency, recognize new market opportunities and increase the organization’s competitive advantage.
The data science field employs mathematics, statistics and computer science disciplines, and incorporates techniques like machine learning, cluster analysis, data mining and visualization. The amount of data generated by the usual modern business is rapidly growing, so does the prominence of data scientists hired by organizations to help them turn raw data into valuable business information.
The exact benefits of data science vary depending on the company’s goal and the industry. Sales and marketing department for example, can mine customer data to improve conversion rates or create one-to-one marketing campaigns. Banking institutions are exploiting data to enhance fraud detection. Streaming services like Netflix data leverage the massive amounts of data to determine user’s interests and provide personalized recommendations based on a user’s viewing history. Shipment companies like DHL, FedEx and UPS use data science to find the best delivery routes and times, as well as the best mode of transport for their shipments.
Data science is still a rising field within the enterprise because manual identification and analysis of vast amounts of unstructured data can prove too complex, expensive and time-consuming for companies. Data-driven decisions can ultimately lead to increased productivity and improved operational efficiency, business performance and workflows. In customer-oriented organizations, data science helps identify and refine target audiences. Data science can also help recruitment, internal processing of applications and data-driven aptitude tests and games.