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How RPA in Banking is beneficial

Banking Industry has been transforming over the years. Technology has allowed the banks to manage their data much better making it centrally available. This data is also used now to get insights that were previously not possible.

Over the years the core banking function has involved a lot of people. With people, there is always a requirement for processes so that everyone in the organisation can take the same decisions. However, people following processes sometime maybe tired or be biased or bored or another people issue you have seen, which may lead to poor decisions. Research now has proven that computers are more reliable and unbiased while taking the decision based on processes and policies. This brings us to the concept of Robotic Process Automation.

RPA involves studying the existing processes and automating the most obvious and straightforward decisions in the process. This allows the companies to get better results on the execution of those processes. People are moved to doing more productive and creative things like identifying new revenue sources or creating new banking programs that can help the customer satisfaction with their bank.

RPA in banking - Mantra Labs

In this era of digitization, the existing banks face the extra challenges of digitization across the whole banking value chain as well as new banking models that are coming up with new age players. This combined with the regulatory frameworks that keep a tight noose and higher operating capital requirements make it a difficult business to be in.

RPA provides a side gate of relief for the banking industry as a whole with the benefits it entails. By using robotic algorithms the decisions can be made faster leading to faster processing cycles for every transaction. Computer programs can also perform self-audits to be compliant to regulations as soon as they change or apply. The existing infrastructure remains same which means not a great spend in opex. With data centrally managed and automated programs looking for insights it can bring huge benefits by finding deep operational insights to save time and cost.

RPA benefits in banking - Mantra Labs

The automation and computer software may make you feel that RPA is only applicable in IT systems however there are more areas that RPA can help. The key areas in banking that can be benefitted from RPA.
– Reporting
– Compliance
– Cyber Risk and Resilience
– sourcing and procurement
– Accounting and Administration
– Securities operations

Mantra Labs has been working with leading FinTech companies like EzeTap, Religare, I&M Bank and others in the fields of Payments, Insurance, Banking Solutions, Micro lending and newer initiatives of AI, Blockchain and Robotics Process Automation. For any query, contact us at hello@mantralabsglobal.com

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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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