DATA SCIENCE
What is Data Science?
The simplest way to understand data science is that it is a multi-disciplinary scientific method of extracting knowledge and storing it in a structured way. It is also known as data mining and closely associated with big data. Big data growth has been phenomenal and so has big data systems that help enterprise application integration.
Data science has immense implications in manufacturing activities and manufacturing value chain, academic pursuits, applied research, machine learning, speech recognition, and the digital economy. In current contexts, it is used in healthcare, social science, and medical information systems, though these are not the only place where data science can be applied.
What Powers Data Science at Biztech
Biztech is a big data company that uses data technology to help production manufacturing businesses to create mega-sized databases through the use of complex technology products such as Hadoop open-source software framework for creating database software for running applications on computer clusters.
Our teams use data science concepts and development tools such Hadoop, Hive, Matlab, Pig x 11, Ruby x 9 and Perl x 8 to create software and applications that tap big data to deliver quality products that enable customers to reach out to their patrons to meet manufacturing trends all over the world.
Practical Uses of Data Science
There is no end to the way data science can be applied in business, education, e-governance
Data Collection
Without data, big data software doesn’t make sense. Data science driven manufacturing technology and software make it possible to collect data in a systematic way for analysis and putting it to practical use. We develop big data management software for businesses to tap and act upon collected data.
Data Processing
Raw data is absolute of little use to businesses. We use big data frameworks for creating software that relies on organized data for business analytics and big data management. Our application of big data in creating is much appreciated by enterprises for data processing, forecasting, planning, and implementation of projects.
Feature Engineering
Data science is an absolute essential for enterprises that depend upon feature engineering for big data software success. It helps to integrate machine learning capabilities for automating processes in factories without the use of fed data in every instance. Feature engineering is a great example of the application of big data.
Optimisation and Evaluation
Optimization and evaluation requires the use of big data science for delivering a predictable outcome. Our big data software development can help enterprises in big data management. Optimizing enterprise working and production planning is a core activity at Biztech.
Machine Learning
Machine learning is a process backed by big data applications to learn from experience and react to situations like humans. It is similar to our own learning process – it comes from capturing data and using it as an experience. Our experience in machine learning software finds use in factory automation for higher productivity and manufacturing precision products.
Deployment
Deploying big data frameworks software and database is a complex process that requires expert domain knowledge. Biztech’s experience in big data management finds extensive use in healthcare management software and e-governance software we have developed for our customers.
Our Approach to Data Science
At Biztech we have an exclusive data technology team for developing software based on data science to serve enterprises that utilize big data for analysis and planning production and automating manufacturing activities. We use multiple technologies including Hadoop (open-source) for developing the database and integrating it with existing applications for achieving higher efficiency through machine learning processes.
Dedicated Data Science Experts
Our team of data science experts is unique and have domain-specific knowledge in manufacturing technology – we concentrate on IT-specific endeavors and use tried and tested tools such as MLaaS, big data Hadoop, Azure Machine Learning and Amazon Machine learning to name a few. Biztech’s experts focus on dataset preparation and model training for achieving predetermined goal sets.
Complete Solution on Technical Part
At Biztech, to put the power in customers’ hands, we build robust data collection and IT-centric analytics products that help enterprises to reap technical information to help them serve their customers better and automate many manufacturing processes. We are amenable to different working models – as-as-service or product or as customers want. All our solutions are complete and technically sound that meet important parameters.
Perform Advanced Analytics
The purpose of data science as we perceive is to enable organizations, businesses, industries, and governments to regularly perform advanced analytics to provide impetus to improving services and understanding customer needs. Our in-house data technology processing tools, software analytics, and approaches to solve problems help enterprises to scale new heights.