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Calculate the ROI on Infrastructure Automation

Programmable infrastructure and a world where you can take your data with you wherever is the future.

A new era has arrived, one in which software development practices are being applied to physical objects such as roads or bridges for greater efficiency; this idea of transparent skies could very well become a reality soon!

You can’t put a price on efficiency. The return on investment (ROI) of infrastructure automation is essential to consider before you start implementing changes that could be expensive and time-consuming.

How is Automation Valued?

The process of automating a long, manual task can be very beneficial. If you run it frequently enough and with the right system, your savings will grow exponentially as time goes on!

Regarding infrastructure automation, one of the first questions businesses ask is, “What’s the ROI?” In other words, what are the tangible benefits of automating tasks such as provisioning, configuration management, and deployments? And more importantly, how can we quantify those benefits?

In this blog post, we’ll walk you through a simple process for calculating the ROI of infrastructure automation. By the end, you’ll have a clear understanding of the financial benefits of automation and be able to make a strong case for why your business should invest in it.

The Advantages of Infrastructure Automation

Infrastructure automation is the process of automating IT infrastructure configuration, provisioning, and management. It can help organisations to manage their infrastructure more efficiently, improve service quality, and reduce operational costs. In this blog post, we will explore some of the main advantages of infrastructure automation. 

  • Improved Efficiency and Productivity

Infrastructure automation can improve efficiency and productivity. By automating configuration, provisioning, and management tasks, organisations can free up time for other activities, such as developing new features or products and providing customer support. These tasks can reduce errors and improve accuracy.

  • Improved Service Quality

Another advantage of infrastructure automation is that it can improve service quality. By automating tasks such as monitoring and maintenance, organisations can ensure their infrastructure is always running smoothly and efficiently. Additionally, automating these tasks can help identify problems early before they cause significant disruptions. Organisations can provide better service to customers.

  • Reduced Operational Costs

Finally, another advantage of infrastructure automation is that it can help to reduce operational costs. This is because automating tasks such as provisioning and management can help to reduce the need for manual intervention. Additionally, automating these tasks can help improve efficiency and productivity, which can lead to reduced labour costs. In addition, automating these tasks can also lead to reduced energy consumption and waste generation. As a result, organisations can save money on their operating costs. 

There are many advantages of infrastructure automation. Automating tasks such as configuration, provisioning, and management can help to improve efficiency and productivity, improve service quality, and reduce operational costs. If you are considering implementing infrastructure automation in your organisation, carefully weigh all of these factors to make the best decision for your business.

Calculating the ROI of Infrastructure Automation

Now that we’ve looked at some of the benefits of infrastructure automation let’s talk about how you can calculate its ROI. To do this, we’ll use a simple formula:

 (Total savings from automation – Cost of automation) / Cost of automation = ROI%

For example, you spend $5,000 per month on labour to manually provision and manage your servers. You estimate that by investing in an automated system, you could reduce that cost by 50%. The cost of the computerised system itself is $10,000 upfront plus $500 per month in maintenance costs. Using our formula, we get: 

 ($5,000 * 0.5 – $10,000 – $500) / ($10,000 + $500) = -9%

This means that over two years—the amount of time it would take to fully recoup your upfront investment—you would see a negative return on your investment (ROI). In other words, investing in automation wouldn’t make financial sense for your business now.

Conclusion:

As you can see from our example above, calculating the ROI of infrastructure automation is relatively simple. However, it’s important to note that other factors besides financial ones should be considered when deciding whether or not to automate your infrastructure. These include the size and complexity of your infrastructure, your company’s culture, and your willingness to embrace change. That said, we hope this blog post has given you a better understanding of how to calculate the ROI of infrastructure automation and why it’s such an important consideration for businesses today. Thanks for reading!

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Redefining Business Process Outsourcing through Business Process Automation

The business process outsourcing (BPO) industry is worth an estimated $190 billion. But what is BPO, and how has it evolved? In this blog post, we’ll explore the history of BPO and how business process automation (BPA) is redefining the industry.

Business Process Outsourcing: An Introduction

Business process outsourcing (BPO) has been a popular cost-cutting measure for businesses for many years. The concept is simple enough: rather than having an in-house team handle a specific process or task, you outsource it to a third-party provider. This often results in significant cost savings, as BPO providers can leverage economies of scale to deliver services at a lower cost than most businesses could achieve on their own.

However, new development is beginning to change the BPO landscape: business process automation (BPA). BPA involves using technology to automate tasks previously performed by human workers. This includes data entry, customer service, and even complex financial processes.

The History of Business Process Outsourcing

BPO had its roots in the late 1800s when American companies began outsourcing manual labour to countries with lower wages, such as China and India. This practice continued into the 20th century with the rise of telephone operators and data entry clerks. However, it wasn’t until the 1990s that BPO began to take off. 

This was primarily due to technological advances that allowed communication and collaboration across vast distances. Suddenly, businesses could outsource not just manual labour but also knowledge work to countries with lower living costs. This led to the rise of call centres and other forms of customer service outsourcing.

In recent years, there has been a shift away from traditional BPO models. This is due to several factors, including the increasing cost of labour in countries like China and India, as well as the advent of new technologies that make it possible to automate many business processes.

Benefits of BPA 

There are several benefits that businesses can reap from implementing BPA: 

  • Cost savings: One of the primary benefits of BPA is that it can help businesses save money. Companies can reduce their labour costs by automating tasks that human workers previously performed. In some cases, BPA can also help enterprises improve their efficiency and reduce other costs, such as errors and rework.
  • Improved quality: Another benefit of BPA is that it can help improve the quality of work. BPA is designed to follow pre-determined rules and procedures. This contrasts with human workers, who may make mistakes or take shortcuts that result in lower-quality work.
  • Increased capacity: A final benefit of BPA is that it can help businesses increase their capacity without incurring additional costs. This is because BPAs can work faster and for longer hours than human workers. In some cases, this increased capacity can help businesses meet spikes in demand or complete time-sensitive tasks more quickly. 

Implementing BPA

If you’re interested in implementing BPA within your business, there are a few things you’ll need to do:

  1. Determine which processes you want to automate: The first step is to evaluate your business processes and determine which ones would be candidates for automation. To do this, you’ll need to consider factors such as the complexity of the process, the frequency with which it needs to be performed, and the availability of data and applications required to support it.
  2. Identify the right tools: Once you’ve identified which processes you want to automate, you’ll need to select the right tools. There are many different types of BPAs available on the market today, so you’ll need to evaluate your needs and choose the tool best suited for your specific requirements.
  3. Define success criteria: Before beginning any automation project, it’s essential to define what success looks like. This will help you select an appropriate tool and set realistic expectations for the project’s outcomes.
  4. Implement and test: Once you’ve chosen an agency and defined success criteria, you’re ready to implement your BPA solution. Be sure to test it thoroughly before rolling it out into production to address any potential issues before they cause problems for your business operations.

Business Process Automation: The Future of BPO?

Business process automation (BPA) is the use of technology to automate repetitive, low-value tasks typically performed by human workers. BPA can be used to automate a wide variety of business processes, including data entry, invoice processing, and lead generation.

One of the critical benefits of BPA is that it can help businesses reduce their dependence on human labour. This is especially important in today’s economy, where many companies struggle to find enough qualified workers to fill open positions. By automating low-value tasks, companies can free their employees to focus on more strategic initiatives.

BPA is also more efficient and accurate than human workers, and machines can work 24 hours a day, 365 days a year, without getting tired or making mistakes. This increased efficiency can help businesses save money and increase profits.

Conclusion:

The business process outsourcing industry is evolving thanks to advances in technology rapidly. Business process automation is redefining what is possible in terms of outsourcing and helping businesses save money and increase efficiency in the process. In the future, we can only expect BPA to become more prevalent as companies continue to search for ways to cut costs and improve performance.

How to Embed Tableau or Power BI Dashboards into Web Pages without Using an Iframe

Iframe: An Introduction

Iframes are an HTML element that allows you to embed one HTML document inside another. While they are commonly used to embed videos or maps on websites, they can also be used to embed dashboards created in Tableau or Power BI. However, iframes can cause problems with security and website loading times, which is why some developers prefer to avoid using them. So, how can you embed a Tableau or Power BI dashboard on a webpage without using an iframe? Keep reading to find out.

Ways to Embed iFrame to your Web Pages

Many web developers shy away from using iframes because they can be difficult to work with. However, iframes are often the only way to embed Tableau or Power BI dashboards into web pages. If you’re looking for a way to embed your dashboards without using an iframe, read on!

Let us walk you through 3 methods for embedding Tableau or Power BI dashboards into web pages. These methods are:

1. Use Tableau’s or Power BI’s JavaScript API

2. Use a third-party service like Publitas

3. Use an open-source solution like Koalas

We’ll also provide a brief overview of each method so that you can decide which one is right for you. 

Method 1: Use Tableau’s or Power BI’s JavaScript API

  • If you’re aTableau or Power BI user, then you’re in luck! Both platforms offer a JavaScript API that allows you to embed your dashboards into web pages without using an iframe. 

The biggest advantage of using the JavaScript API is that it gives you full control over how your dashboard is rendered on the page. For example, you can choose to display the dashboard as a lightbox pop-up or inline within the page. You can also specify the size and position of the dashboard on the page. 

Another advantage of using the JavaScript API is that it’s relatively simple to set up and use. However, one downside is that it requires some knowledge of HTML and CSS in order to properly configure it. 

Method 2: Use a Third-Party Service like Publitas 

  • If you’re not a web developer and don’t have any knowledge of HTML or CSS, then using a third-party service like Publitas is probably your best bet. Publitas offers an easy-to-use platform that allows you to embed your Tableau or Power BI dashboards into web pages with just a few clicks. 

The biggest advantage of using Publitas is that it’s very user-friendly and doesn’t require any knowledge of HTML or CSS. Another advantage is that Publitas offers a wide range of customization options so that you can control how your dashboard looks on the page. 

However, there are some downsides to using Publitas. First off, it’s a paid service, so you’ll need to sign up for one of their subscription plans in order to use it. Additionally, because Publitas is a third-party service, there’s always the potential for compatibility issues between their platform and your dashboard software (e.g., Tableau or Power BI). 

Method 3: Use an Open-Source Solution like Koalas

  • Koalas is an open-source solution that allows you to embed Tableau or Power BI dashboards into web pages without using an iframe. The advantage of using Koalas is that it’s free to use and doesn’t require any knowledge of HTML or CSS. Additionally, Koalas offers a wide range of customization options so that you can control how your dashboard looks on the page. 

There are some downsides to using Koalas, however. First off, because it’s an open-source solution, there’s always the potential for compatibility issues between Koalas and your dashboard software (e.g., Tableau or Power BI). Additionally, Koalas doesn’t offer as many features as Publitas (e .g . , lightbox pop – ups), so keep that in mind when deciding which solution is right for you. 

Choosing the right method for embedding your Tableau or Power BI dashboard into a web page depends on several factors, including your level of technical expertise, budget, and desired features. We hope this blog post has helped you better understand your options so that you can make an informed decision about which method is right for you.

Conclusion: 

Iframes are commonly used to embed dashboards created in Tableau or Power BI onto websites. However, they can cause problems with security and website loading times. As such, some developers prefer to avoid using them altogether. Luckily, there are two methods that you can use to embed a Tableau or Power BI dashboard on a webpage without using an iframe. So, whether you’re a developer who wants more control over the code or someone who just wants an easy solution, there’s a method here for you.

5 Impactful Ways IPA is Disrupting the Insurance Industry  

The use of Intelligent Automation (IPA) in insurance is making big waves in a once archaic industry. By operating in a highly regulated environment with demanding clients, insurers advocate the introduction of artificial intelligence into their daily processes. 

To gain a competitive advantage, several insurers have already deployed an automation strategy in areas like new Business Processing, Claims Processing, and Finance. The insurance industry is currently intensively evaluating use cases for intelligent automation in order to increase the efficiency of current processes and thus reduce operating costs. 

According to McKinsey: “IPA can cut the cost of insurance claims processing by up to 30% and a large insurer could more than double profits over 5 years by digitizing existing business.” On that note, let’s quickly understand how IPA is disrupting the insurance industry.  

1. Digitally powering a changing insurance landscape  

The insurance market has become competitive and more robust in recent years with the arrival of online P2P insurers, technology operators, and insurance players. While digitization in the insurance sector is bound to create opportunities, it also presents new challenges for traditional players. 

With low-interest rate scenarios, the income streams of old insurance companies quickly dry up, as premiums from clients investing in different financial institutions do not pay the same returns as in recent years. In the future, these challenges may increase, due to the rapid pace of digitization and changing customer preferences. 

However, insurers who have taken the pulse of the digital revolution and innovated their products and value chain have grown. 

2. Analyzing operations and optimizing business processes 

The insurance industry is taking an approach where it holistically implements intelligent process automation more effectively to improve its performance.  

The whole approach is to analyze end-to-end operations and find new and efficient ways to use automation technologies to optimize business processes. The technology not only liberates the employees from the hassle of doing repetitive, paper-based tasks but focuses more on people-oriented tasks and helps in delivering personalized, top-quality customer service backed by complicated and real-time data profiles. 

IPA can be effectively utilized by insurance companies to scan photographs and analyze and clear damage or settlements in a more effective and quick manner. Nowadays, the use of high-end voice technologies can help bring down the insurance settlement error rates to about 6 percent (which equals that of an average human). The combination of voice analysis and image recognition technology can help an insurer reduce the challenges or complexities associated with adjusting and assessing claims. 

3. Addressing challenges faced by the insurance industry  

Insurance companies face multiple challenges in this increasingly digitized world. Here are some of the main hurdles insurers face: 

Manual Data-Entry  

Insurers suffer from tedious, prolonged, and tiresome activities like collecting and entering data which is done by humans. These processes are expensive, prone to inaccuracies due to human error, and result in slow response times.  

Accommodates Strict Regulatory Standards  

Operating in multiple regulatory jurisdictions, insurers must adhere to evolving rules regarding capital regulation, transparency, reporting, and interactions with clients. Insurance companies can face heavy fines and damage their reputation if they fail to comply.  

Legacy Applications and Miscellaneous Systems  

Insurers’ banking processes are heavily dependent on legacy systems and software. These programs can no longer meet the needs of modern customers and processes. Companies must invest a large part of their budget and resources to implement new technologies capable of meeting these requirements 

Scalability 

Insurers are subject to seasonal peaks which only become more difficult in the event of a large-scale disaster. Such spikes require the complaint process to be efficient and accurate when dealing with a large amount of incoming data.  

Increasing Demand for Better Client Service 

Today’s insurance customers are tech-savvy and have little patience for bad customer service. They expect transparency, customizable options, and fast response times and are ready to go around a large number of competitors in the market if their needs are not met. 

4. Deploying bots for rudimentary decisions 

IPA is already changing the way insurance companies operate. The bot’s hardworking workforce not only emulates repetitive, rule-based transactional and administrative tasks but also handles some basic decision-making levels. Experts in the human domain are therefore free to focus on more strategic tasks involving reasoning, judgment, and emotional intelligence.  

This digital workforce of bots is getting smarter with Intelligent Automation enabled by transformational technologies like Machine Learning (ML), Computer Vision, Artificial Intelligence (AI), and Natural Language Processing (NLP). Typical areas where intelligent automation makes a huge difference are: 

  • Policy Administration and Servicing  
  • Renewal Processing 
  • Claims Processing  
  • Underwriting 
  • Regulatory Compliance  
  • Process and Business Analytics 
  • Sales and Distribution  
  • Finance and Accounts 

5. Future-proofing the insurance industry  

With IPA in the increasingly sophisticated insurance industry, it will provide a cost-effective way to meet rapidly changing regulatory requirements and help businesses focus on long-term strategic issues. AI-based support can reduce documentation times by up to 80%, making insurance companies more profitable.  

Today’s businesses need to rethink how they want to use human potential and how much they can trust a computer to run their operations. In this way, one thing becomes clear: human contact will become paramount in the future, especially when robots will perform most of the repetitive and mundane tasks.  

Although high-frequency products are digitized and automated to a greater extent, it can be difficult to convert existing policies in this new field, it is not only a technological challenge, but the product must also evolve to meet the needs of current market conditions and regulatory landscape. Insurers will need to consider digitization from a broader perspective that includes product innovation, services, and business models. 

Conclusion 

Insurers can profit vastly from Intelligent Automation, and those who have already turned to automated solutions are already seeing the impact. By effectively planning and implementing AI solutions, businesses can transform their operations, reduce costs, increase employee engagement, and improve the customer experience. 

Futran Solutions has partnered with leaders in the industry (e.g. Automation Anywhere) to provide a solution that is rooted in domain experience, built on a solid foundation, and can be scaled incrementally. We specialize in AI and RPA technologies, however, we understand that the critical success factor for automation programs is the domain knowledge about the processes, and not only the technology. 

Futran Solutions has worked with insurtech start-ups as well as global insurance leaders to develop Intelligent Automation solutions for improving business processes. Our team has experience in creating custom automation applications that use visual recognition, machine learning, and other AI tools that simplify the management of routine tasks, whether it’s underwriting, claims processing, or customer experience. 

Futran Solutions is a Digital Technology organization focused on Data Analytics, Cloud, Automation, and New Age App Development.