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Industries that are benefiting from RPA

Initially, process engineering sought to adhere to lean design principles. Processes would be documented, reviewed and improved by removing wasteful steps and adding scripts where possible to eliminate human intervention and potential errors. Upon process improvement Robotic Process Automation(RPA) started largely as a tool to mimic those repetitive, rules-based front-end workflows. 

After the success in many sectors, RPA  is being rapidly adopted across industries because of the multiple benefits it offers. These are some industries which are already benefiting the most from Robotic Process Automation(RPA):

Financial Sector

Operational Efficiency

RPA plays an important role in operations. In order to automate activities, RPA can do high-frequency tasks while reducing processing time and 50-70% cost will be saved. Since RPA is easily implemented into the existing administrative infrastructure, It helps increasing productivity by reducing human cost and gives more flexibility and control over the financial workflows and business processes.

Risk Management

Compliance and Risk management is automatically taken care predefining process and every step is logged which is not in case of human interaction with applications.

HealthCare Sector

Higher Throughput

With the help of RPA, healthcare will be better equipped to deal with the growing volume of patients that are difficult to deal with when managed entirely by humans. While automation handles a  larger number of patients, medical personnel can focus on other important areas or work.

Improved Quality and Consistency

Robots can do laborious repetitive work 24X7. They can provide consistency in care activities. An automation in the areas of medical records, order entry, claim processing and decision support is linked with a reduction in complications and costs in order to improve quality and provide consistency.

Insurance Sector

Underwriting

Underwriting involves collecting all of the necessary information from all of the various sources in order to properly evaluate the risks associated with any specific policy, and it’s generally a process that takes quite a long time, one that, in fact, causes millions of people just to give up before the process is even complete. Since RPA can automatically collect and process accurate data as it relates to the applicant from both internal and external sites very quickly, the entire process is dramatically expedited. 

Claim Processing

The claims processing is completely dependent on process speed and accuracy to meet customer expectations. It requires the collecting of data from various sources, which is also typically a long and manual customer service operation, RPA is there to reduce the process steps, amount of time spent on performing repetitive processes  and human errors. 

Drop us a line, If you are willing to know more about RPA and how we are helping these industries to automate their processes.

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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