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Learn About The 4 Main Types of Cloud-Based Computing Services

What are Cloud-based computing services?

Cloud-based computing services are a type of internet-based computing that provide users with access to a virtualized computing environment. In a cloud computing system, there is a pool of physical or virtual resources that users can access and use on demand. These resources may include storage, networking, computing power, and applications.

There are three types of cloud computing: public, private, and hybrid.

    • Public cloud computing refers to the use of public cloud services, which are owned and operated by third-party companies. These companies provide access to their cloud services over the Internet.
    • Private cloud computing refers to the use of private cloud services, which are owned and operated by a single company. These companies provide access to their cloud services over a private network.
    • Hybrid cloud computing refers to the use of both public and private cloud services. These companies provide access to their cloud services over a hybrid network, which combines the features of both public and private networks.

There are many benefits of cloud-based services, including the ability to scale resources on demand, pay-as-you-go pricing, and increased flexibility and agility. Additionally, cloud-based services can help organisations reduce their IT costs by eliminating the need to purchase and maintain expensive hardware and software.

What are the advantages of Cloud-Based Computing Services?

Cloud computing uses a network of remote servers hosted on the Internet to store, manage, and process data rather than a local server or a personal computer. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a public utility. The cloud model comprises five essential characteristics, three service models, and four deployment models. Three Service Models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four Deployment Models: private cloud, public cloud, community cloud, and hybrid cloud.

There are many advantages of cloud-based services. 

    • One of the main advantages is that it can help organizations save money. With cloud-based services, organizations can avoid the high upfront costs associated with traditional on-premises computing infrastructure. Additionally, cloud-based services can be scaled up or down quickly and easily to meet changing needs, which can further help organizations save money.

    • Another advantage of cloud-based services is that they can improve organizational agility. With cloud-based services, new applications and services can be deployed quickly and easily. This can help organizations keep up with the latest market trends and better meet the needs of their customers. Additionally, cloud-based services can make it easier for organizations to experiment with new technologies and applications.

    • Finally, cloud-based services can improve security. With cloud-based services, organizations can benefit from the expertise of the service provider in areas such as data security and disaster recovery. Additionally, cloud-based services can make it easier for organizations to comply with data security and privacy regulations.

What are the 4 main types of Cloud-Based Computing Services?

Cloud-based computing services are delivered over the internet and provide users with access to a virtual environment that can be used to store, manage, and process data. There are four main types of cloud-based computing services:

1. Infrastructure as a Service (IaaS):

Infrastructure as a Service (IaaS) is a cloud computing model in which a service provider delivers computer infrastructure—including servers, storage, networking, and data center facilities—to its customers on a pay-as-you-go basis. IaaS is one of three main categories of cloud computing services, alongside Platform as a Service (PaaS) and Software as a Service (SaaS).

IaaS providers typically own and operate the underlying hardware and software resources, and customers access those resources via the Internet. This model enables customers to avoid the upfront capital expense of purchasing and managing their own infrastructure, and pay only for the resources they use on an as-needed basis. 

2. Platform as a Service (PaaS):

Platform as a Service (PaaS) is a cloud-based computing service that provides users with a platform for developing, testing, and deploying applications. PaaS is typically offered as a subscription service, and users can access the platform via a web-based interface or a set of APIs. PaaS services can include everything from simple application hosting to complex data processing and analytics.

PaaS is a popular option for developers who want to focus on building applications, without having to worry about managing the underlying infrastructure. PaaS can also be a cost-effective way to scale applications, as users only pay for the resources they use.

Some of the most popular PaaS providers include Amazon Web Services, Google App Engine, and Microsoft Azure.

3. Software as a Service (SaaS):

SaaS is a cloud-based computing service that allows users to access and use software applications over the internet. These applications are typically hosted by the service provider and delivered to users on a pay-as-you-go basis.

SaaS is a convenient and cost-effective way for businesses to access the latest software applications and tools, without the need for expensive on-premises hardware or software licenses. SaaS applications are also easy to set up and use, and can be accessed from any internet-connected device.

The SaaS model has become increasingly popular in recent years, as businesses of all sizes look to take advantage of the many benefits it offers.

4. Storage as a Service (STaaS):

Storage as a Service (STaaS) is a cloud-based computing service that provides users with a platform for storing, managing and accessing data. STaaS is a scalable, pay-as-you-go service that offers users a flexible and cost-effective way to store and access data. STaaS is designed to meet the needs of businesses of all sizes and can be customized to meet the specific needs of each business.

How to make the best use of Cloud-Based Computing Services for your business?

There are many different cloud-based computing services available, and the best one for your business will depend on your specific needs. To make the most of these services, you’ll need to carefully consider what your business needs and how the various services can best meet those needs.

For example, if you need a lot of storage space for your business data, you’ll want to choose a service that offers plenty of storage space. If you need to be able to access your data from anywhere, you’ll want to choose a service that offers cloud-based computing services.

No matter what your specific needs are, there’s a cloud-based computing service that can help your business. By taking the time to find the right service for your business, you can make sure that you’re getting the most out of these services.

How can Futran Solutions help you?

Futran Solutions has a lot to offer when it comes to cloud computing. They can help you with everything from setting up your infrastructure to managing your data. They also offer a variety of services that can help you save money and increase efficiency. In addition, Futran Solutions is always innovating and expanding their services, so you can be sure that they will always be able to meet your needs. 

If you’re looking for help with cloud computing, Futran Solutions is the perfect partner. We have a team of experts who can help you with everything from migrating your data to the cloud to managing your cloud-based applications. We can also help you optimize your cloud infrastructure for maximum efficiency and performance.

Conclusion –Cloud-Based Services are very useful to a business. You just have to do the research and the hard work of finding the right type of Cloud-Based Computing Services for you! If you are still unaware on what is the Cloud-Based Computing service for you, you should definitely reach out to the experts at Futran Solutions. 

    • Simplifying patient appointment scheduling
    • Speeding up account settlements
    • Streamlining claims management
    • Implementing discharge instructions
    • Recording audit procedures
    • Improving the healthcare cycle

RPA in Insurance

RPA in Insurance helps improving transactional, administrative tasks which are repetitive, high volume and rules-based activities by building a high-growth responsive business. Adopting RPA in Insurance sets the industry to become more customer-centric and efficient to help insurers by integrating new front-end technologies with back-office environments. Here are few uses cases for RPA in Insurance.

    • New Business & Underwriting

    • Claims Processing

    • Business and Process Analytics

    • Manual Data Entry Process

    • Usage of Legacy Applications

    • Regulatory Compliance

What are the Benefits of RPA?

RPA helps you to include flexibility, agility, adaptation, and price potency into your business processes.

    • Enable you to scale operations: Unlike humans, Robots can work longer hours without any breaks.

    • Saves time: Using a robotic application helps to reduce human errors and the time required correct them which leads to better customer experiences.

    • Cost Effective: Surveys estimated that RPA deployment is cost effective.

    • Minimizes IT department interference: With the help of RPA employees are allowed to train and manage their own robotic assistants using RPA.

    • Ensures there are no extra infrastructure costs: As there is no significant changes required to the infrastructure by implementing RPA in finance and banking.

    • Increases human employee efficiency: As per the studies, robots can work up to five times faster than humans on specific tasks which results in time saving and increasing the job satisfaction.

    • Reduces human error: Financial RPA increase output quality by eliminating human errors that happens due to human nature.

What are the Challenges of RPA?

    • Organisations have struggled to deploy RPA automation process as it is easy to implement but hard to manage.

    • A big challenge to automate end-to-end processes as many RPA tools may be insufficient to automate all the process steps.

    • Technical ambiguity: RPA installation is very easy and therefore it is one of the key features of RPA. For the successful RPA deployment, it is important to conduct in-depth research to resolve technical and functional queries.

Conclusion – Leveraging AI and RPA enables faster decision-making and reduces the chances for human bias by improving efficiency for organizations across the industries such as Insurance, Finance and Healthcare. Futran solutions is the best RPA solutions provider to automate your business processes and facilitate digital transformation rapidly. Learn more about how companies can successfully implement digitalisation to scale their operational excellence.

Deploying RPA for Finance, Healthcare and Insurance

What is Robotic Process Automation (RPA)?

Robotic process automation (RPA) is a technology application that automates business activities using business logic and structured inputs. RPA technology simplifies design, deploy and manage Software robots. RPA will partly or fully automatise manual, rule-based, and repetitive human processes. It works by simulating the behaviors of a real person engaging with one or more software applications to perform various tasks like data entry, standard transaction processing or responding to simple client service queries.

Robotic process automation services are often confused with artificial intelligence (AI), but both are different. AI is combination of automation, machine learning (ML), natural language processing (NLP), reasoning, hypothesis generation and analysis.

How Does RPA Work?

Automation process technologies like RPA enable information through legacy systems by integrating with other applications through front-end integrations. So, it helps the automation platform to work like a human worker to work on some routine tasks such as logging in and copying and pasting from one system to another.

To process automation technology like RPA software, include following core capabilities:

    • Low-code capabilities to build automation scripts
    • Integration with enterprise applications
    • Orchestration and administration including configuration, monitoring and security

RPA in BFSI (Banking and Financial Services)

Robotic Process Automation is processed in different industries such as Banking and Financial services, healthcare, manufacturing and Insurance sectors. According to Gartner research, more than 80% of enterprises in Banking and Financial sector are using RPA for various purposes. Here are some of the most prominent benefits of financial process automation:

Banking was one of the prominent industries to accelerate the automation implementation

Here are some of the RPA Use cases in banking and finance industry.

    1. RPA for report generation

    2. RPA for accounts payable

    3. RPA for mortgage processing
    4. RPA in know your customer (KYC)

    5. RPA in fraud detection

RPA in Healthcare

While it is mandatory to maintain the accuracy and compliance of all internal processes for many health care companies as they prefer customers’ health and well-being first and foremost criteria for them. So, here are some of the RPA use cases in Health care industry. By leveraging on RPA in healthcare many healthcare providers in the world use robotic process automation to streamline information management, insurance claim processing and other processes for improved experience

    • Simplifying patient appointment scheduling
    • Speeding up account settlements
    • Streamlining claims management
    • Implementing discharge instructions
    • Recording audit procedures
    • Improving the healthcare cycle

RPA in Insurance

RPA in Insurance helps improving transactional, administrative tasks which are repetitive, high volume and rules-based activities by building a high-growth responsive business. Adopting RPA in Insurance sets the industry to become more customer-centric and efficient to help insurers by integrating new front-end technologies with back-office environments. Here are few uses cases for RPA in Insurance.

    • New Business & Underwriting

    • Claims Processing

    • Business and Process Analytics

    • Manual Data Entry Process

    • Usage of Legacy Applications

    • Regulatory Compliance

What are the Benefits of RPA?

RPA helps you to include flexibility, agility, adaptation, and price potency into your business processes.

    • Enable you to scale operations: Unlike humans, Robots can work longer hours without any breaks.

    • Saves time: Using a robotic application helps to reduce human errors and the time required correct them which leads to better customer experiences.

    • Cost Effective: Surveys estimated that RPA deployment is cost effective.

    • Minimizes IT department interference: With the help of RPA employees are allowed to train and manage their own robotic assistants using RPA.

    • Ensures there are no extra infrastructure costs: As there is no significant changes required to the infrastructure by implementing RPA in finance and banking.

    • Increases human employee efficiency: As per the studies, robots can work up to five times faster than humans on specific tasks which results in time saving and increasing the job satisfaction.

    • Reduces human error: Financial RPA increase output quality by eliminating human errors that happens due to human nature.

What are the Challenges of RPA?

    • Organisations have struggled to deploy RPA automation process as it is easy to implement but hard to manage.

    • A big challenge to automate end-to-end processes as many RPA tools may be insufficient to automate all the process steps.

    • Technical ambiguity: RPA installation is very easy and therefore it is one of the key features of RPA. For the successful RPA deployment, it is important to conduct in-depth research to resolve technical and functional queries.

Conclusion – Leveraging AI and RPA enables faster decision-making and reduces the chances for human bias by improving efficiency for organizations across the industries such as Insurance, Finance and Healthcare. Futran solutions is the best RPA solutions provider to automate your business processes and facilitate digital transformation rapidly. Learn more about how companies can successfully implement digitalisation to scale their operational excellence.

Salesforce Automation: How it can Help Your Business?

What is Salesforce Automation exactly?

Salesforce automation uses software to automate sales tasks, including customer relationship management (CRM), order processing, and inventory management. Businesses can improve efficiency and productivity by automating these tasks, freeing employees to focus on more strategic tasks.

Salesforce automation software typically includes a CRM system, which helps businesses manage customer data, track sales opportunities, and automate marketing and customer service processes. Order processing and inventory management features can also help businesses automate sales.

Salesforce automation has several benefits, including improved efficiency and productivity, greater visibility into sales data, and reduced manual data entry. Automating sales tasks can also help to improve customer service levels by giving employees more time to focus on customer interactions.

What should I keep in mind before considering Salesforce Automation for my business? 

Salesforce automation automates the sales process from start to finish. This can include tasks like lead generation, contact management, opportunity management, quote and proposal generation, and invoice creation. Automating the sales process can help businesses close more deals in less time and improve the overall efficiency of their sales teams.

If you’re considering salesforce automation for your business, there are a few things to remember. 

    • First, choosing a software solution that meets your business needs is important. There are several different sales force automation software solutions on the market, so it’s important to compare features and prices to find the right fit for your business.
    • Second, salesforce automation requires a significant investment of time and resources to implement and maintain. Be sure to factor in the costs of training employees on the new system and the ongoing costs of support and maintenance.
    • Third, salesforce automation can majorly impact your business, so it’s important to carefully consider the potential benefits and risks before making a decision. Salesforce automation can be a powerful tool for businesses, but it’s only right for some organisations. Carefully weigh the pros and cons to decide if salesforce automation is right for your business.

How can Salesforce Automation help your business?

Salesforce automation can help your business in many ways. It can automate your sales processes, including lead generation, follow-up, and closing. It can also help you manage your customer relationships more effectively. Additionally, Salesforce automation can provide valuable insights into your sales data, allowing you to make more informed decisions about your business. Ultimately, Salesforce automation can help you increase your sales and improve your overall business operations.

How does Salesforce Automation benefit your business?

Salesforce automation provides several advantages for businesses. Perhaps most importantly, it can help to improve sales productivity by automating key sales tasks and processes. This can allow salespeople to focus on more important tasks like prospecting and building relationships. Additionally, salesforce automation can help improve data quality and accuracy and provide valuable insights through data analytics. Ultimately, using salesforce automation can help businesses to improve their overall sales performance.

Salesforce automation is a powerful tool that can help businesses increase sales and improve customer satisfaction. There are many advantages to using salesforce automation, including 

    1.  Increased sales: Salesforce automation can help businesses increase sales by automating lead generation, follow-up, and closing tasks.

    2. Improved customer satisfaction: Salesforce automation can help businesses improve customer satisfaction by providing customer relationship management (CRM) and customer service tools.

    3. Increased efficiency: Salesforce automation can help businesses increase efficiency by automating sales and marketing, customer service, and administrative tasks.
    4. Reduced costs: Salesforce automation can help businesses reduce costs by automating tasks and eliminating the need for manual processes.

    5. Increased flexibility: Salesforce automation can help businesses increase flexibility by providing features such as customisable workflows and reports.

How can you integrate salesforce automation into your business?

Salesforce automation can help your business in several ways. For one, it can help you keep track of your sales data and customer information in one place. This can save you time and effort to Manually input this data into your system. Additionally, salesforce automation can help you manage your sales pipeline more effectively. Having all of your data in one place can better track your progress and see where your deals are in the sales process. Finally, salesforce automation can help you create more efficient marketing and sales campaigns. By segmenting your customer data, you can create targeted marketing materials and sales strategies that are more likely to result in conversions.

What are some Dos and Don’ts of Salesforce Automation?

Salesforce automation is a process of automating sales-related tasks and workflows within the Salesforce CRM platform. It can help sales teams to improve efficiency and productivity and manage their sales pipeline more effectively. 

There are a few things to remember when automating sales processes in Salesforce to get the most out of the platform. 

    • First, it’s essential to clearly define the goals and objectives that you want to achieve with automation. This will help you to select the right automation tools and features and configure them most effectively.
    • Once you clearly understand your goals, you can start automating individual tasks and workflows. For example, you can use Salesforce’s workflow rules to automate lead assignments or create custom buttons and links to automate repetitive tasks. It’s essential to test your automation processes thoroughly before rolling them out to your sales team to ensure that they are working as intended.
    • Increased efficiency: Salesforce automation can help businesses increase efficiency by automating sales and marketing, customer service, and administrative tasks.

Salesforce automation can be a great way to improve your productivity and efficiency. However, you should keep a few things in mind to ensure it is used effectively. Here are some clear pointer dos and don’ts of Salesforce automation:

Do:

    • Clearly define your goals and objectives for automation.

    • Understand your current processes and how automation can help.

    • Work with a trusted Salesforce partner to help you implement automation.

    • Train your users on the new system and give them time to adjust.

Don’t:

    • Automate just for the sake of automation.

    • Try to automate everything at once.

    • Go it alone – get help from experts to ensure a successful implementation.

    • forget to test your automation before going live.

How can Futran Solutions help you?

If you’re looking for a way to automate your sales process and improve your salesforce productivity, Futran Solutions can help. We offer a range of services that can help you streamline your sales process, including salesforce automation, data integration, and custom development. We have a team of experienced salesforce automation experts who can help you customise your solution to your specific needs. We can also provide training and support to help you get the most out of your Salesforce investment. Contact us today to learn more about how we can help you improve your salesforce productivity.

Conclusion – This was your practical and detailed guide to salesforce automation. Salesforce automation is a great way to grow your business when used well. If you are still confused about how salesforce automation can benefit your business, you should consult the Salesforce Automation experts at Futran Solutions.

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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.

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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.

Top Six Business Intelligence Trends 2019

Top Six Business Intelligence Trends 2019

Much like in 2018 and the years before, business intelligence is set to be among the hottest 1% of technologies in 2019 as well. With the new year in mind, both organizations and aspiring business intelligence professionals will be on the lookout for new business intelligence trends in 2019. Here is all that you need to know about ten of the most happening things in the business intelligence domain.

Before diving deep into new business intelligence trends, it is befitting to understand why business intelligence is that important a technology in the Industry 4.0 environment. At its core, the purpose of Business Intelligence is to decisively dig into past information and data to help organizations make better-informed business decisions. From that standpoint, the reason that propels companies to invest time and resources in BI remains quite consistent.

Like with all emerging technologies, the variations are often in the manners and manifestations in which a process or the organization as a whole embraces technology. With that, here are your top six business intelligence trends for 2019.

1. More dedicated time and resource for artificial intelligence

Artificial Intelligence has taken off – big time. Companies that have not yet invested time, resource, or research in AI have a lot to lose in 2019. However, that is a highly unlikely occurrence as one of every two companies that have not invested in Artificial Intelligence are all set to do so sometimes by 2019.

Quality AI platforms have the potential to work with data inputs at far greater speeds than humans. In addition, technological reliance helps address small details and prune minute errors that might easily miss the human eye. Some specific AIs have the power to provide streamlined information to customers.

By 2020 alone, 8 out of 10 companies will be using some of the other application of chatbots. A lot of valuable user interactions remain to be gleaned with the use of chatbots. For example, chatbots could easily make you a list of the words most commonly expressed or user sentiments that recur during conversations. On the face of it, this does not seem like much of a discovery. But such observations give rise to important discoverable patterns.

Put together, all these statistics reaffirm why AI is not another flash-in-the-pan moment in tech. The longer a business takes to deploy AI from here on, the harder it will become for them to catch up in the future.

Prioritized data governance

A bi-survey poll on business intelligence conducted with over 2600 business intelligence professionals concluded that the overwhelming majority of the participants rated business intelligence as a factor with above-average importance in data governance. The participants also unanimously agreed that business intelligence will have even greater say on data governance in 2019.

Consumer-centric industries like telecommunications and banking are the most likely to receive a makeover courtesy of business intelligence. Any industry that wishes to learn the value of business intelligence efforts should prioritize data governance over many other aspects.

Simultaneously, a lot of effort must also go into ensuring the accuracy of the data. If the information relayed is faulty, duplicate, or not completely accurate, it could result in serious repercussions. For one, employees would lose faith in the business leaders, making focusing on business intelligence not worth the effort in the first place.

Apart from this, it is important to note that the General Data Protection Regulation (GDPR) is in full swing across the European Union. With that, it becomes even more important to lay emphasis on business methods that treat consumer data most sensitively. Moreover, a regulation similar to the GDPR is set to come to California in 2020. Given that so much happening around data policies, it does not come as a surprise that business intelligence is molding accordingly.

Big data and for nuanced organizational support

Application of Business Intelligence goes beyond suggesting improvements in a company’s operations. The use of data for a positive social change keeps growing by the day. It is especially important to do so with the help of structured data banks. By streamlining efforts across a range of organizations, labor outputs can be maximized and extra data can be pooled into the development of new ideas.

There’s also been growing talk about making use of data for purely altruistic purposes in 2019. There have been companies that have focused on it for a reasonable amount of time. Way back in 2013, MasterCard made launched an independent subsidiary for data applications dedicated to the greater good. The best way for this to work out is to club big data into corporate social responsibility plans of organizations.

Success in achieving this could help businesses realize success beyond business profits. Sample this: most studies suggest that most millennials are more likely to work at companies that give back. So businesses have the chance to appeal to a larger pool of talent while figuring new ways to leverage business intelligence for social good.

Greater business intelligence integration in small companies

In 2018, Business Intelligence was particularly favored by organizations with fewer than 100 employees. This is the most conclusive evidence that the size of an organization does not go a great deal in influencing their decision to adopt Business Intelligence. It’s also a common observation that in smaller organizations, employees have a greater feeling of ownership toward individual business processes. This makes adoption of Business Intelligence easier in smaller organizations.

The rising use of Business Intelligence software across smaller organizations is all set to continue throughout 2019. Some credit would definitely go to an increasingly large pool of providers that are striving hard to make their services both accessible and affordable. The most crucial takeaway is that even employees with a tight shoestring budget can make decisive use of business intelligence.

Data interpretation through storytelling

Data storytelling has never been as big as it will be in 2019. Numerous conferences highlight the impact of data storytelling throughout industries. Conferences like the Data Visualization Summit in San Francisco explore the interpretation of data through the nodes of storytelling. Owing to the way data storytelling assigns the necessary context to data, data storytelling will remain a vital aspect of Business Intelligence throughout the length of 2019.

Skill in data literacy is required irrespective of how advanced the business intelligence platform is. Without that skill, figures cannot be interpreted and shaped into meaningful insights from which a business can learn. To rephrase, data literacy skill can add meaning to advanced data and how it can be meaningful to the business.

Not many people have the skill to make meaning of a spreadsheet filled with random numbers. And even the best-explained bar graphs are not easy pies for a bulk of the audiences. Nevertheless, the ability to storify data is still an indispensable skill.

Extended outputs by self-service business intelligence

With a self-service business intelligence interface, most companies might feel they do not need help from data scientists. But it is the opposite scenario when you dive deep into analytics. That is why four out of five businesses in a study involved in the UK plan on hiring data scientists in 2019.

The same study also pointed out how companies that use or plan on using BI believe that it gives them an edge over the competition. For companies that are yet to decide on taking the plunge into BI, self-service software would be a great start. Before making an investment into such tools, a business much look at what they really want in return. More importantly, a business should evaluate how seamlessly Business Intelligence gels with the overall operation of the company.

Futran Solutions specializes in delivering composite Business Intelligence solutions and resources. As applications of Business Intelligence in business is evolving, so are the resources that shoulder these needs within an organization. Speak to a Futran Business Intelligence specialist today. Find out how we help you achieve your business and marketing objectives.

Seven Hottest Analytics And Big Data Trends For 2019

The Big data is the vast volumes of data generated from a number of industry domains. Big data generally comprises data collection, data analysis and data implementation processes. Through the years, there’s been a change in the big data analytics trends – businesses have swapped the tedious departmental approach with data approach. This has seen greater use of agile technologies along with heightened demand for advanced analytics. Staying ahead of the competition now requires businesses to deploy advanced data-driven analytics.

When it first came into the picture, big data was essentially deployed by bigger companies that could afford the technology when it was expensive. At present, the scope of big data has changed to the extent that enterprises both small and large rely on big data for intelligent analytics and business insights. This has resulted in the evolution of big data sciences at a really fast pace. The most pertinent example of this growth is the cloud which has let even small businesses take advantage of the latest technology.

The modern business is floating on a stream of never-ending information. However, most businesses face the challenge of extracting actionable insights from vast pools of unstructured data. Despite these roadblocks, businesses are deriving from the tremendous opportunities for growth presented by big data. Here is all that would count as the hottest big data analytics trends of 2019.

Booming IoT Networks

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Like it’s been through 2018, Internet of Things (IoT) will continue to trend through 2019, with annual revenues reaching way beyond $300 billion by 2020. The latest research reports indicate that the IoT market will grow at a 28.5% CAGR. Organizations will depend on more structured data points to gather information and gain sharper business insights.

Quantum Computing

 

Industry insiders believe that the future of tech belongs to the company that builds the first quantum computer. No surprise that every tech giant including Microsoft, Intel, Google and IBM are racing for the top spot in quantum computing. So, what’s the big draw with quantum computing? It allows seamless encryption of data, weather prediction, solutions to long-standing medical problems and then some more. Quantum computing allows real conversations between customers and organizations. There’s also the promise of revamped financial modeling that helps organizations develop quantum computing components along with applications and algorithms.

Analytics based on Superior Predictive Capacity

 

More and more organizations are using predictive analysis to offer better and more customized insights. This, in turn, generates new responses from customers and promotes cross-selling opportunities. Predictive analysis helps technology seamlessly integrate into variegated domains like healthcare, finance, aerospace, hospitality, retailing, manufacturing and pharmaceuticals.

Edge Computing

 

The concept of edge computing among other big data trends did not just evolve yesterday. Network performance streaming makes use of edge computing pretty regularly even today. To save data on the local server close to the data source, we depend on the network bandwidth. That’s made possible with edge computing. Edge computing stores data nearer to the end users and farther from the silo setup with the processing happening either in the device or in the data center. Naturally, the entire procedure will see an organic growth in 2019.

Unstructured or Dark Data

 

Dark data refers to any data that is essentially not a part of business analysis. These packets of data come from a multitude of digital network operations which are not used to gather insights or make decisions. Since data and analytics are increasingly becoming larger parts of the daily aspects of our organizations, there’s something that we all must understand. Losing an opportunity to study unexplored data is a big-time potential security risk.

More Chief Data Officers

 

The latest trendy job role on the market is that of a Chief Data Officer. Top-tier human resource professionals are looking for competent industry professionals to fill this spot. While the demand is quite high, the concept and value of a CDO are largely still undefined. Ideally, organizations are preferring professional with knowledge in data analysis, data cleaning, intelligent insights and visualization.

Another Big Year for Open Sourcing

 

Individual micro-niche developers will invariably step up their game in 2019. That means we will see more and more software tools and free data become available on the cloud. This will hugely benefit small organizations and startups in 2019. More languages and platforms like the GNU project, R, will hog the tech limelight in the year to come. The open source wave will definitely help small organizations cut down on expensive custom development.

Making of a Storm: What Happens to Dark Data in Analytics and Big Data?

Making of a Storm: What Happens to Dark Data in Analytics and Big Data?

Dark data is the kind of data that does not become a part of the decision making for organizations. This is generally the data from logs and sensors and other kinds of transactional records which are available but generally ignored. The largest portion of the yearly big data collected by organizations is also dark data.    

Dark data does not usually play a vital role in analytics because:

  1. Companies do not want to use their bandwidth on additional data processing
  2. There’s a lack of technical resources
  3. Organizations do not believe dark data adds any value to their analytics

All of these are valid reasons for the data taking the back seat. But today we have a string of data-centric technological advances. Together, they present a heightened ability to ingest, source, analyze, and store large volumes of data. With that, it becomes important for organizations to recognize this largely untapped volume of data.   

The conventional way to use this data would be to systematically drain all of it into a waterhouse of data. This is followed by the identification, reconciliation, and rationalization of the data. The reporting follows soon after. While the process is pretty methodical, there might not be as many projects that truly call for such a need.   

The Immense Volume of Dark Data in Enterprise

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At the moment, we have solid  evidence to suggest that as much as 90% of all data used in enterprises could be dark. Since industries are now storing large data volumes in the ‘lake’, it should be natural to tag the data appropriately as it gets stored. Perhaps the key is to extract the metadata out of this data and then storing it. 

Profiling and exploring the data can be done using one or a combination of tools that are already available in the market. Cognitive computing and machine learning can further increase processing power and open up possibilities of making intelligent use of dark data.  

Dark data may or may not have an identifiable structure. For example, most contacts and reports in organizations are structured. But over the course of time, they add up to the pile of dark data. Unstructured data can be small bits of personally identifiable info like birth dates and billing details. In the very recent past, this type of data would remain dark.

Machine learning can help organize this data in an automated manner. It can then be connected to other attributes of data to generate the complete view of the data. Using geolocation data is slightly trickier though. While it is extremely valuable, the lifespan is rather short. A collection of historical geolocation data sets can be further leveraged using machine learning to aid in predictive analysis of data.    

Recognition of regular data as dark data

Other sets of data often considered “dark” in the past include data from sensors, logs, emails, and even voice transcripts. The longest stretch they would get in terms of application would be vested in troubleshooting purposes. Not many would look to make such data a part of actual decision making. Now that we can convert voice or text (and vice versa) and use the data to gather intelligence, there are many use cases that draw advantage of data traditionally considered dark.    

An IDC estimate suggests that the total volume of data could be somewhere close to 44ZB (zettabytes) in 2020. This data explosion will be influenced by many new data generators like the Internet of Things. And unless we light up this data with new technology and processes, a large volume of it will continue to stay dark.  

The first and obvious step will be to make all the dark data available for exploration. The second step is to categorize the data, scrape out the metadata and do a quality check for all the extracted data. Modern tools for data management and data visualization provide the ability to explore the data visually. This determines whether or not the data can be illuminated to remove the visual noise.      

The myriad advances in Artificial Intelligence (AI) will definitely aid in uncovering the secrets of the oft-ignored “dark data”. However, the trick is still in using the data prudently. Wrong use of data will inadvertently result in incorrect predictions and may invite regulatory sanctions.

The vastness of dark data demands handling by Big Data and AI experts. In addition, there needs to be a clear plan about the application of the data once it is sorted. At Futran Solutions, we work with a pool of incredibly talented Big Data and Artificial Intelligence experts who can help your organization make the most of dark data. Contact us today to talk solutions in big data and artificial intelligence.