Robotic process automation

Boost RPA by analytics to transform life sciences

Life sciences companies have started to understand the real potential of robotic process automation (RPA) to improve the efficiency of their end-to-end processes. At Tenthpin, we have been designing and implementing the vision of next level digital transformation for our clients by combining RPA, analytics, and artificial intelligence (AI) with deep business process knowledge.

What is robotic process automation?

The emerging trend in life sciences is to utilize automation to process repetitive business as usual tasks – from processing invoices, emails, contracts, and documents by extracting the relevant information to implementing intelligent programs that can identify patterns and perform the appropriate actions. The technology supporting these scenarios is Robotic Process Automation (RPA).

It is at the core of the digital transformation to help businesses improve their processes, automate repetitive tasks, and stay ahead of their competitors. Discover how designing semi-autonomous business processes will support your company to adjust to the market situation with minimal human interaction.

What are the benefits of RPA?

Improve business operations

  • Reduce cost & increase speed
  • Support parallelization
  • Improve scalability of production

Reduce cycle time

  • Improved overall process efficiency
  • Reduced process execution time
  • Short-term cost benefits

Increase service quality & compliance

  • Reduce human errors
  • Increase accuracy and consistency
  • Traceable and auditable error-handling processes

Gateway to AI & advanced analytics

  • Handle unstructured data
  • Support self-healing bots
  • Understand impact of different variables leading to AI

Utilizing RPA as a digital workforce

>20%

tasks automated

+300%

efficiency boost

70%

less costly errors

How can we reduce business as usual tasks and increase security?

Experienced Team

RPA provides a security layer in clinical trials or other sensitive fields like finance. Coupled with tools like CyberArk, RPA allows bots access to particularly sensitive data and information from password vaults and therefore replaces human workers having to manage passwords or access sensitive content.

Your key to success: RPA, AI, and our deep knowledge of business processes

At Tenthpin, we are in a unique position to deliver successful RPA transformation. Our consultants bring years of deep industry knowledge and understanding of the underlying processes. Combining this with the architecture expertise of various SAP systems, application knowledge of key RPA solutions and analytics is crucial to the success of your project. We support you to not only use RPA as a digital workforce, but also leap forward into the future of digital transformation.

Capitalizing on data by combining automation and analytics

Every industry is now producing unprecedented amounts of data, and key players are constantly seeking ways to capitalize on it. We expect that the combination of RPA and analytics will be a crucial driver for companies to stay ahead of their competitors.

RPA provides a bridge between analytics information and functional processes. It can improve master data. It can also support data-driven organizations' complexity by establishing the process pipelines that coordinate analytics services and capabilities.

Combining analytics services with RPA enables companies to:

Streamline operations

Enhance the level of control

Enrich decision-making

Standardize business processes

Boost managing capabilities

Simplify reporting

What is the difference between RPA and artificial intelligence?

The main goal of every RPA team is to emulate human behavior in automation in order to perform business as usual tasks more efficiently and to lower cost. Artificial intelligence (AI) and machine learning (ML) are known to enable digital transformation in old, inefficient, and manual processes. Therefore, it makes sense to merge these two areas to get better results, governance, and highly scalable solutions.

Smart ways to combine RPA and analytics

AI is a vast topic, so we propose to divide it into three main areas where it can help RPA with the next step.

RPA

RPA can record/feed data to analytics

RPA

Analytics can help RPA make decisions

RPA

RPA can use analytics techniques to be more efficient

Is your company ready for robotic process automation enabled by analytics?

Connect with us.

Arpita Singhal

United Kingdom

Arpita Singhal

Partner

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