RPA is an automation technology for making smart software by applying intelligence to do high volume, repeatable and time-consuming tasks. RPA is automating the tasks of a wide variety of industries, hence reducing time and costs while increasing efficiency. It is a rule-based engine configured to replicate processes across various systems by using multiple data sources, and by applying complex policies and time-based rules. Therefore, Robotic Process Automation can improve the way organizations manage their IT investment portfolio, at least.
Here are some of the top Robotic Process Automation benefits for the businesses:
Reduced costs:
By automating tasks, cost savings of nearly 50% is a possible scenario, from productivity increase. Also, software robots cost less than a full-time employee.
Better Customer Experience:
Deploying RPA will free up your high-value resources, so you can focus more on customer success. Employees will have more time to invest their talents in more engaging and interesting work.
Lower Operational Risk:
By reducing or eliminating the human component, you will reduce errors due to lack of knowledge or tiredness, as a result RPA ensures a lower level of operational risk.
Improved Internal Processes:
In order to leverage Robotic Process Automation, companies are forced to define clear governance procedures. This leads to faster internal reporting, on-boarding and other similar activities.
No Replace for existing system:
RPA doesn’t replace your existing IT systems. One of the biggest advantages of using RPA is that it can be adapted to leverage your existing systems.
It acts as an assistant to any human as it triggers responses and communicates with other systems in the same way as humans do. In addition to that, chances of making mistakes is almost none and it’s quick. RPA is the thing which one should harvest quickly to gain a more competitive edge in the business.
Thank you Mihai Corbuleac, Senior IT Consultant at ComputerSupport.com for contributing.
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.
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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