Articles
Too much manual work. Too much failure. Too expensive Innovation. Too late to market.
- Maximize the value of data,
- Shorten R&D process,
- Increase cost-efficiency and
- Speed up time to market.
Organizations across all industries are under enormous pressure to efficiently manage rapidly growing amounts of diversified data sources, data types, users, and deployment models.
100x of Sources, 1000x of Format, Millions of Data dispersed across organization eco-system
Lack of automated data flows
Significant time spent on manual data administration
Human errors cause unnecessary rework
Once deployed, valuable data and discovered information are hard to find, integrate or reuse.
They are scattered across individual departments, siloed and even lost because of the use of inconsistent taxonomies.
As constant learning, sharing and improving are imperative of every discovery and development, cataloguing and finding valuable information is becoming one of the biggest challenges of today’s data science, especially in the biopharma R&D teams.
100x of Sources, 1000x of Format, Millions of Data dispersed across organization eco-system
Lack of automated data flows
Significant time spent on manual data administration
Human errors cause unnecessary rework
Data is scattered and siloed across teams and departments
Inconsistent taxonomy makes relevant information hard to find
Lack of learning and knowledge sharing
Long and expensive research and product development
Once deployed, valuable data and discovered information are hard to find, integrate or reuse.
They are scattered across individual departments, siloed and even lost because of the use of inconsistent taxonomies.
As constant learning, sharing and improving are imperative of every discovery and development, cataloguing and finding valuable information is becoming one of the biggest challenges of today’s data science, especially in the biopharma R&D teams.
Data is scattered and siloed across teams and departments
Inconsistent taxonomy makes relevant information hard to find
Lack of learning and knowledge sharing
Long and expensive research and product development
NetILab empowers digitalization and enriches big data value for faster product research and Innovation.
Benefits
Ready to automate your operations, but don’t have the budget for expensive enterprise solutions? NetILab’s NetFlow is a Non-Code Integrated Data solution that will let you do just that, without any need for programming. With our drag & drop interface, you can create data flow diagrams with just a few clicks, and then execute the charts with the click of a button.
Optimizes lab resources and increases operational productivity
With NetILab, you can create and execute a complete science or engineering study within a fraction of the time it would take to do the same research manually. This helps you collect data and perform experiments faster, which ultimately saves you money and time. It also frees up your scientists to do what they do best: focus on discovering new concepts and ideas.
Industry Fit & Suit
Pharma & Biotechnology
Pharma & Biotechnology
Chemicals
Food and Agriculture
Food and Agriculture
Energy and Fuel
Energy and Fuel
Smart Cities
NetiLab solution helps R&D teams to accelerate product development, increase productivity and success of scientific discovery.
Four Modules.
One Mission.
NetILab has been developed by working closely with business and R&D data scientists to address Biopharma and Industry 4.0’s biggest challenges successfully.
The solution consists of four built-in modules that maximize data value and productivity in every stage of the R&D process.
Our Clients have seen measurable outcomes using NetILab.
Netica. A Data Science partner of choice for Life Science companies.
Netica is a Data Science company that provides Data Management and Data Analytics Solutions for BioPharma and Industry 4.0. Netica has been leveraging broad industry insights and strong technical skills in creating on-premise and cloud-based solutions that help science, R&D and businesses to accelerate the process of digital transformation and enhance the value of data.
Netica is a Data Science company that provides Data Management and Data Analytics Solutions for BioPharma and Industry 4.0. Netica has been leveraging broad industry insights and strong technical skills in creating on-premise and cloud-based solutions that help science, R&D and businesses to accelerate the process of digital transformation and enhance the value of data.
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