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How Research Labs Can Improve Productivity with Cloud Technology

by polymerize
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Introduction Research labs:

Research labs assort and process a wide range of data that becomes central to research and innovation. But poor data management is the pitfall to lab efficiency. Using traditional data management systems is one of the biggest obstructions for research teams in reaching their maximum output potential.

It is 2022, yet many research labs collect data manually with a pen and a notepad. Some laboratories generate so much information that they need a team of personnel to manage data, sort, and organize it.

Limitations of Traditional Data Collection and Management

Putting this data up in the spreadsheets only serves the purpose until the end of the experiment. However, it is not an efficient way to manage data for future uses. This results in low productivity, high R&D costs, and sometimes even loss of important data.

Luckily, there is a solution to this inefficiency- leveraging cloud technology for data management.

Cloud technology allows sharing files and data using a secure off-site server or ‘cloud’ storage. It enables easy access to the team members from anywhere and anytime.

A cloud data management system also steps up your data storage and analysis game, expediating the analytical process of unstructured data files.

Advantages of Using Cloud Technology for Data Storage and Management:

Cloud technology can be a beneficial addition to your research lab’s productivity in many ways:
  • It unifies data management features and AI algorithms to provide insights and recommendations.
  • Allows team members to work on projects together efficiently with off-premise file storage that provides flexible access to the data.
  • Cloud templates eliminate manual data modification for analysis and save tons of time.
  • Paired with AI/ML it breaks the traditional long cycles of trial and error-based development and eases Lab automation.
  • It saves the cost of running onsite server rooms for data storage to reduce your budget.
  • It saves physical space, energy, and additional data management personnel.
  • It will be working in the same format of data input, and minimizes the chances of human error in manual lab techniques, further minimizing the company’s R&D budget.

Digitalization in Research Labs

With the moving age of digitalization, research labs must adopt state-of-art data management technology to maximize research output and minimize the development time and cost. Employ cloud technology for data management for your innovation in R&D facilities and harvest the power of ML to optimize your research lifecycle with us.
Polymerize’s cloud technology unifies the data management features by providing insights and recommendations. Our AI engines can generate predictions with great accuracy even from a smaller data set.
We save your company 40% on R&D cost and time, as vouched by our chemical and polymer supply chain clients who have benefited from our Cloud-Based Material Informatics Platform. And we strive for security without compromising privacy. Our clients get sole IP rights for any new and improved formulations.


Research labs are crucial for innovating and modifying products to remain relevant in the competitive market. However, their efficiency largely depends on research data management, application, and automation.

An efficient cloud-data management system makes these processes easier, and with analytical abilities, it can predict the experiments for desirable outcome requirements.

Together with Machine Learning and Artificial Intelligence, cloud computing can enable research labs to optimize productivity and save valuable money on operational costs.

Partner with us and get seamless data management solutions today. If you want to accelerate your laboratory process by integrating cloud technology, request our Product Demo here!

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