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How Will Hyper Intelligent Automation Evolve RPA?

How Will Hyper Intelligent Automation Evolve RPA?How Will Hyper Intelligent Automation Evolve RPA?

How Will Hyper Intelligent Automation Evolve RPA?

Hyper intelligent automation, which is often referred to simply as hyper automation, is a general term that refers to the application of advanced and emerging technologies to automation.

Hyper Automation is rapidly transforming what’s possible with Robotic Process Automation (RPA). RPA was originally designed to repeatedly perform the same task accurately and it created the foundation for automation as we know it. It required incredibly complex code and it was not capable of adapting to new information.

However, advanced technologies like artificial intelligence and machine learning are now being applied to RPA, creating a more evolved version of RPA that actually can grow and adapt on its own. The application of advanced technologies to RPA and similar systems is the general idea behind hyper automation. A secondary goal of hyper automation is creating a unified understanding of all automated tasks and processes throughout the organization.

None of this is theoretical – hyper automation is currently transforming businesses around the world. Approximately 34% of organizations are adopting hyper automation with a focus on employee productivity. Enough organizations are aware of the benefits of hyper automation to make it an entirely new movement focused on evolving existing automated processes and understanding every automated process in the business.

Today we’re going to examine how hyper intelligent automation is already evolving RPA, along with a deeper dive into what hyper automation actually means.

What is Hyper Intelligent Automation?

Hyper automation is not a specific technology or tool, but rather an umbrella term that refers to a wide range of tools and technologies that are used in advanced automation. Additionally, the term can also be used to refer to more sophisticated automation processes that go beyond the current definition of automation.

Every new and emerging technology that aims to make computers smarter plays a part in hyper automation. Each of the following technologies can be used to evolve RPA into something vastly more powerful:

Engineers and developers will use any of the above technologies (plus any that are not mentioned) to create advanced versions of the existing RPA processes.

Hyper Automation Dramatically Improves Scalability

RPA was revolutionary for organizations across all industries and still is. However, it was originally designed for mundane, repetitive tasks such as data entry or reconciling invoices.

There are three problems with RPA that hyper automation aims to solve:

  • RPA is delicate: Most unforeseen challenges will cause the RPA bot to malfunction, which typically means crashing and leaving the task undone until someone notices. RPA does not adapt and learn, it does the same thing and does not handle changes well.
  • RPA can increase technical debt: A poorly optimized RPA system can substantially increase technical debt throughout its lifespan if it was not adequately optimized before it was implemented. Essentially, it will consume more technical resources than it needs to, which has a real cost to your business.
  • RPA can rarely completely replace a human employee: A common goal of automation is to eliminate the need for a human employee, but RPA by itself can rarely accomplish this.

Hyper intelligent automation aims to address each of these problems. By applying advanced technologies, typically AI and ML, RPA systems can become evolved versions of themselves that are aware of resource consumption and can react to unforeseen challenges in their tasks.

Hyper intelligent automation at tangentia

A real-world example of hyper automation evolving an RPA process comes from a developer from the United States government. The developer applied AI to the existing RPA that was used to help determine eligibility for the Affordable Care Act applications. The evolved RPA allowed the agency to scale without needing more human employees and serve more users.

Essentially, hyper automation creates better RPA bots that truly unlock the scalability that has been the goal of the technology since the beginning.

IDP Capabilities

There are numerous capabilities that come with an IDP solution. These include:

  • Identifying content that is difficult for traditional OCR to read from a document
  • Determining how relevant a word or character is based on pre-defined rules and the context of the document
  • Extracting specific information
  • Auto-classifying documents
  • Validating data
  • Reading QR codes and barcodes
  • Organizing data
  • Generating reports

How Does Hyper Automation Evolve RPA?

So far we’ve been focusing on how specific RPA tasks and bots can grow and evolve with hyper automation. However, hyper automation not only applies advanced technology to the given process but also creates cross-functional collaboration across different processes and robots.

Ultimately, the goal of hyper automation is not to have dozens of siloed processes that are more advanced but to have an entire company-wide system of automated processes that work together to accomplish required tasks in the most intelligent way possible. Evolved RPA systems will be able to decide the best way to accomplish the task when armed with data from the entire company.

Digital Transformations Demands Hyper Intelligent Automation

Organizations across all industries are undergoing digital transformations in an effort to remain competitive. Hyper automation is yet another way for companies to embrace a true digital transformation by creating an over-arching system of automated processes that create a holistic view of the entire organization. Additionally, each individual process will be approached intelligently, rather than strictly programmatically as with early RPA bots.

However, it’s worth mentioning that the promises of hyper automation discussed above will only be reaped by organizations with the right team of developers and engineers to apply advanced technologies to RPA bots.

Are you looking to evolve your RPA bots with advanced capabilities along with creating an all-encompassing vantage point of all automated processes in your business, but unsure where to start? Contact Tangentia today to see how we can help evolve your RPA bots into hyper-intelligent automated digital workers that will help your company reach new heights.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

What Is Intelligent Document Processing?

What Is Intelligent Document Processing?What Is Intelligent Document Processing?

What Is Intelligent Document Processing?



Intelligent Document Processing (IDP) is a method of automating the collection of structured, semi-structured, and unstructured data from a variety of sources and organizing it into a usable format. IDP is the most advanced form of extracting data from documents.

Keep in mind that IDP is not the same as Optical Character Recognition (OCR), despite the fact that the two terms are often used interchangeably. Instead, IDP was developed to enhance the capabilities of OCR, as well as to incorporate other technologies, such as data capture and Natural Language Processing (NLP).

With this in mind, this blog post covers how IDP works. But before we get into that, let’s talk about the benefits of IDP.

IDP benefits

With the ability to eliminate the need to collect unstructured and semi-structured data manually, IDP delivers a number of critical benefits for a wide range of organizations. These include:

  • Increased processing speed – AI-native IDP solutions can increase the speed at which data is extracted by as much as 10 times.
  • Increased accuracy – Accuracy for data extraction is as high as 99.9%, and straight-through processing of over 95% can be achieved.
  • Enhanced productivity – With minimal human intervention required, employees aren’t tied to the manual processing of data. This means more data can be processed more quickly, while employees focus on higher-value tasks.
  • Costs less – With the increased speed and accuracy of document processing and the elimination of manual data entry, cost savings are as high as 70%.
  • Electronic storage of documents – Paperless processing of documents allows for the digital storage of those documents.
  • Integration at the business level – IDP can easily be integrated with existing business systems and other automation solutions, allowing organizations to achieve a fully integrated robotic process automation (RPA) system.

These benefits are significant, particularly in a world where organizations increasingly have to do more with less. With this in mind, let’s take a look at the IDP workflow and how it helps organizations reap these benefits.

IDP workflow

The IDP workflow is used to scan hard-copy documents and files, capture the information in them, and store that information in a digital format. Types of documents that can be scanned include PDF files, emails, text messages, medical imaging, forms, and other types of documents in digital and paper-based formats. With this in mind, the IDP workflow consists of five steps, which are as follows:

1. Preprocessing of the document

Documents must be preprocessed to ensure that OCR can effectively distinguish the characters and words from the background. For this reason, the following techniques are used to prepare the document for OR:

  • Binarization – This is the conversion of a color image into black and white. It is done at the pixel level, converting each color pixel into either a black pixel (value = 0) or a white pixel (value = 256), so there is an easy distinction between the characters or words and the background.
  • Deskewing – Horizontal misalignment of a scanned document is common. There are a few techniques, such as the Topline method and the Projection profile method, that are used to correct the skew of the scanned image.
  • Removal of noise – This is the process of removing small patches or dots of contrast that are not part of the data and might be picked up by the OCR solution.

2. Classification of the document

Classification of the document is a three-part process that determines the following:

  • Document format – This is the identification of file type, such as JPEG, PDF, TIFF, or MS Word.
  • Document structure – This determines whether the document is structured, semi-structured, or unstructured. Structured documents, such as an application form, have a consistent template into which information is entered. Semi-structured documents, such as invoices, have similar information that can be entered into different areas of the document. Unstructured documents, such as an email or contract, have little to no structure or formatting to them.
  • Document type – This determines the type of document, such as whether it is an invoice, shipping label, email, or bank statement.

3. Extraction of data

There are two ways to extract data from a document. These include:

  • Key-value pair extraction – This is a method that extracts specific values that represent unique identifiers in the document.
  • Table extraction – This involves the extraction of line items arranged in a table format.
    • OCR – This is the conversion of documents with typed or handwritten text, such as scanned documents, PDF files, or photographic images, into text that has been machine-encoded. Keep in mind that there are errors that can happen with OCR, including errors in word detection, word or character segmentation, and character recognition.
    • Rules-based extraction – This is ideal for the extraction of data from structured and semi-structured documents because it uses a position reference within the document to identify key-value line items or pairs.
    • Learning-based extraction – This uses machine learning (ML) and deep learning (DL) to extract data. Supervised (human involvement) and unsupervised (no human involvement) learning is used to train the extraction models and increase their efficiency and accuracy.
  • Document type – This determines the type of document, such as whether it is an invoice, shipping label, email, or bank statement.

4. Validation of data

The validation of extracted data is done to determine whether it contains any inaccuracies. This is done by applying data validation rules to the document, ensuring that any inaccuracies that are present are detected and flagged so they can be corrected.

5. Review by a human

The IDP workflow would not be complete without the human component. All flagged documents are reviewed by a human to confirm and correct inaccuracies. This is particularly useful during the supervised learning of learning-based extraction.

Once the IDP workflow has been completed, the resulting data can then be entered into a database or exported to any one of a number of file formats, such as PDF or XML.

Intelligent document processing at Tangentia

IDP Capabilities

There are numerous capabilities that come with an IDP solution. These include:

  • Identifying content that is difficult for traditional OCR to read from a document
  • Determining how relevant a word or character is based on pre-defined rules and the context of the document
  • Extracting specific information
  • Auto-classifying documents
  • Validating data
  • Reading QR codes and barcodes
  • Organizing data
  • Generating reports

IDP use cases

The above capabilities are applicable to a wide range of industries. The following are specific use cases for IDP:

  • Lending and insurance – IDP can be used to process loan applications and conduct a credit risk analysis.
  • Commercial real estate – IDP can be used to process a variety of documents, such as lease agreements, rent roll processing, and T12 statements.
  • Accounts payable – IDP makes it possible to process invoices with a variety of layouts and structures, ensuring that clients have a seamless experience while being able to match the invoices against purchase orders in real-time.
  • Logistics – IDP allows the easy and seamless management of data from one end of the supply chain to the other and makes it possible for companies to deliver necessary documents to vendors, contractors, and transportation teams.
  • Healthcare – IDP is invaluable when it comes to processing documents related to patient intake and onboarding, as well as revenue cycle management.

Embrace IDP and Get IT Working for You

The key to taking full advantage of IDP is to take a strategic approach to implementation. This includes implementing process intelligence, which is used to examine your processes and determine where IDP implementation will be most effective, as well as identifying process inefficiencies that could interfere with the implementation of IDP.

At Tangentia, we have an experienced team who can work with you to determine your IDP needs and develop a solution that will enhance your document processing capabilities.

For more information, reach out to a Tangentia ream member today.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

Monthly Tangentia Byte February 2022

  • Tangentia Byte January 2022Tangentia Byte February 2022

    Monthly Tangentia Byte
    February 2022

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We are excited to announce that we’ve strengthened our partner network with the addition of Soroco
Tangentia and Soroco share the same strategy of building a partner network that allows us to bring the world’s leading automation software and service providers together to ensure our clients have access to cutting-edge solutions.



Navigating Global Supply Chain Challenges with RPA
The global supply chain has been affected from end-to-end by the COVID-19 pandemic and it is taking its toll. Fortunately, Robotic Process Automation (RPA) can help us navigate and mitigate these challenges to ease the burden on manufacturers, suppliers, businesses, and consumers.


What Process Mining Can Do For Your Business?
The benefit of process mining is that it provides direct, objective insights. It looks ‘below the hood’ of a business, automatically mapping each process from tangible data. In addition to being less biased, process mining is considerably more accurate than legacy techniques such as surveys or workshops.



Get the help you need to develop the apps your customers want
The technological revolution of the 21st century has made creative and high-quality mobile applications a priority for individuals and businesses worldwide. Start-ups, large-scale companies, and corporations alike rely on these mobile apps for brand reinforcement.


Taking App ( Enterprise+ Mobile) Development to the Next Level
At Tangentia we understand the importance of quality mobile application development. This is why we use innovative UX concepts and agile development techniques to deliver a broad range of cutting-edge mobile app development services that will ensure your brand is visible and easily accessible.


Tangentia is proud to announce the expansion of our North American sales and leadership team. It’s been our goal since our expansion into the USA to create job opportunities for professionals in the fast-paced world of automation.
Multivista Global, a company that is into the distribution of Mechanical and Automation Products, shares their experience of working with Tangentia.
Our Tangentia Team assisted the client with EDI implementations and integrations.
Connect with us if you are looking for an EDI partner to help your business scale.
Congratulations to all the teams for making it to the Jigyasa 2022 Finals


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Tangentia’s North American Sales and Leadership Expanding

Tangentia’s North American Sales and Leadership ExpandingTangentia’s North American Sales and Leadership Expanding

Tangentia’s North American Sales and Leadership Expanding

Tangentia is proud to announce the expansion of our North American sales and leadership team. We understand the value people bring to our organization and it has been our goal since expanding into the USA. to create job opportunities for professionals throughout North America who want to be part of the quickly evolving artificial intelligence and automation industry.

Robert Lye

We are excited to announce that Robert Lye is joining our leadership team as Vice President & Chief Evangelist – Automation. Robert will bring thought leadership and transformational thinking to Tangentia customers to aid in building and growing successful intelligent automation programs and accelerating value realization.

Seasoned by hands-on real-world experience, Robert offers great insights into the opportunities and challenges of digital transformation and will be an integral part of ensuring our customers have the tools and support they need to navigate the fast-paced world of automation.

“I am honored and humbled to be joining the Tangentia Family and to work alongside a remarkably talented team,” Robert says. “I am extremely excited for the journey ahead and look forward to enhancing the success of Tangentia customers.”

Joseph Saad

Also new to the Tangentia team is Joseph Saad, who joins us as our new Sales Account Executive based in Montreal, Canada. He speaks English, French, and Arabic and comes with a very experienced background in sales. Joseph has already embarked on his journey at Tangentia, and we look forward to building a robust Montreal-based team in the near future.

Shawn Bakos

We are also pleased to welcome two new members of our executive sales team in the USA. Shawn Bakos is our new Sales Account Executive based in Delaware, USA. He comes with many years of experience in the IT field besides being in the US Navy. An avid sports person who played competitive ice hockey, we are pleased to have Shawn Bakos flying the Tangentia flag on the US East Coast.

Mike Fox

Mike Fox is our new Sales Account Executive based in San Diego, California. Mike is an expert in sales farming, hunting, and fostering profitable win-win deals, and he has a passion for building long-lasting customer relationships. We are excited to have Mike on board and besides bringing on board the warm California sun, we are confident his experience will stand us in good stead on the US West Coast.

Vijay Thomas, Founder and CEO at Tangentia said “It is fantastic to have Robert Lye, take the plunge from being a customer of Tangentia to joining our senior leadership team. It is a ratification of the Tangentia strategy of growth and value creation for our customers.”

George Bennett, VP Sales at Tangentia mentions “ Alongside Bob, we are really excited to have Joseph in Montreal, Mike in San Diego and Shawn in Delaware join our team. It's full steam ahead from now on.”

Tangentia is passionate about bringing the best people onboard, so we can provide top-tier value to our customers through collaboration and innovation. We have been certified as a Great Place to Work for 2022 and we have been certified by the Canadian Aboriginal and Minority Supplier Council as an aboriginal and minority business enterprise.

As one of INC 5000’s Fastest Growing American Companies in 2018 and one of Growth 500’s fastest-growing companies in Canada 6 years in a row, we are always looking for top talent. Visit our Careers page to find out more about how you can become part of the Tangentia team.

Tangentia Partners with Soroco to Make Process Discovery Accessible to Automation Clients

Tangentia Partners with Soroco to Make Process Discovery Accessible to Automation ClientsTangentia Partners with Soroco to Make Process Discovery Accessible to Automation Clients

Tangentia Partners with Soroco to Make Process Discovery Accessible to Automation Clients

Tangentia, a global leader in digital transformation solutions, announced today that they have strengthened their partner network with the addition of Soroco, a leading provider of process discovery, task mining, and process transformation solutions that are based on an AI-powered #work-graph approach.

This new partnership will allow Tangentia to provide their clients with Soroco's work graph platform – Scout, enabling them to discover end-user interactions to discover, monitor, and improve processes in real-time.

“We are thrilled to join forces with Soroco,” says George Bennett, VP of Business Development for Tangentia. “This partnership will allow us to leverage Soroco Scout, their work-graph platform that will help our clients accelerate their digital transformation programs through a discovery-led process that is world-class”

With head offices in Boston, London and Bangalore, Soroco has a global presence that allows them to provide task mining, process discovery and intelligent process transformation solutions to clients no matter where they are located.

“Streamlining processes helps companies harness the power of automation,” says Vijay Thomas, CEO of Tangentia. “Our partnership with Soroco will make it even easier for us to empower our clients to fill in technology gaps, lower costs and increase productivity by helping them turn unstructured task and process data into insights they can use to improve processes companywide.”

Samson David, CEO of Soroco said, “We are happy to partner with Tangentia who are a leading boutique consulting, technology, and outsourcing firm with global presence. Our partnership would help bridge the most challenging technology gaps for their customers in e-commerce, supply chains, and various industries and help them accelerate their automation and digital transformation programs by discovering their work graph.”

Tangentia and Soroco share the same strategy of building a partner network that will allow them to bring the world’s leading automation software and service providers together to ensure their clients have access to cutting-edge solutions

Tangentia’s think global, act local approach to their solutions, combine with nearly 20 years of experience in digital technology, allows them to help clients across numerous industries simplify their relationship with technology and accelerate their adoption of automation. Click here to learn more about Tangentia Automation.

About Tangentia

Since 2003, Tangentia has been at the leading edge of the technological revolution, helping clients simplify their relationship with technology. Based in Toronto, Canada, they also have offices in New York and Goa, making it possible to reach clients across the globe and across industries.

About Soroco

Soroco is on a mission to discover how the world works to help teams be their best. To do this, we are evangelizing and commercializing the “work graph”, which is a structured view of how teams get work done across people, process, technology, and documents. The “work graph” unifies disjoint categories like Process Mining, Task Mining, user training, BPM and RPA to provide a single source of truth. Teams can use the work graph to identify and resolve sources of friction at work, such as technology impediments, poor process design, opportunities for learning and collaboration, among others. Soroco’s work graph platform, Scout, enables a culture of continuous improvement and identifies benefits from applying a portfolio of change levers, delivering targeted change programs at scale. Soroco has offices in Boston, London, and Bangalore with a roster of Fortune 500 customers across 30 countries. Our team has published 150+ papers and patents. Visit www.soroco.com to learn how we help teams discover their work graph.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

Navigating Global Supply Chain Challenges with RPA

Navigating Global Supply Chain Challenges with RPANavigating Global Supply Chain Challenges with RPA

Navigating Global Supply Chain Challenges with RPA

It has been difficult to ignore the global supply chain issues that have plagued us over the past two years. People who want to buy a new car are facing delays due to a shortage of semiconductor chips, possibly lasting into 2023. Grocery stores in Canada and the U.S. have empty shelves as they struggle to stock the necessities consumers need.

The reality is that the global supply chain has been affected from end-to-end by the COVID-19 pandemic and it is taking its toll. Fortunately, Robotic Process Automation (RPA) can help us navigate and mitigate these challenges to ease the burden on manufacturers, suppliers, businesses and consumers. But before we get into that, let’s take a closer look at the supply chain issues facing the world today.

The Complexity of the Supply Chain Issues

The world’s supply chain issues stem from many contributing factors that are interrelated, forming a complex web of cause and effect that can be felt across the globe and in every industry. At the heart of these supply chain issues is COVID-19. Prior to the emergence of the Omicron variant, COVID was already wreaking havoc on the global supply chain—Omicron made it worse. Here’s how:

Labor shortages

Labor shortages have occurred along every point of the supply chain, from the collection and creation of raw materials, to the factory floor, to shipping and distribution, and finally, to the sales floor. The Omicron variant of COVID-19 has amplified theses shortages, leaving industries without enough staff to keep goods flowing.

Ghost orders

Businesses that are concerned about getting the orders they need from their suppliers, are placing what are called “ghost orders.” Vendors will place the same order with multiple suppliers in the hopes that one of them will come through with a delivery. This creates a false level of demand for these supplies.

Panic buying

With empty shelves becoming increasingly common, consumers are keeping a sharp eye on stock levels. When an item comes in, shoppers will snap them up quickly, once again clearing the shelves and perpetuating the cycle of panic buying.

Bottlenecks

During times when goods become available and need to be transported, seaports become jammed with cargo ships and distribution centers fill up with trucks waiting to load and offload their cargo. The result is a bottleneck as shipments move slowly, causing further delays on goods that are desperately needed in stores and through online vendors.

Lack of data

Many businesses do not have the data they need to accurately predict demand and potential shortages. For example, at the beginning of the COVID-19 pandemic, the automotive industry expected a decreased demand for new vehicles. They canceled orders for semiconductors, only to find that demand was far higher than they anticipated.

How RPA Can Make a Difference

RPA is perfectly poised to help ease the burden of supply chain issues on businesses. By automating tasks that would take humans hours to accomplish, speed and productivity increase, human error is eliminated, and the supply chain can move more quickly.

This cost-effective solution can also help improve the supply chain through:

  • End-to-end visibility into the supply chain
  • Real-time flow of information
  • Rapid response

RPA can help provide visibility into all parts of the supply chain and it can be integrated with relevant supply chain systems. This makes it possible for a business to view the state of each part of their supply chain, as well as their operations and inventory, the current state of the market, and market forecasts.

The ability to gather this information in real-time and the use of artificial intelligence (AI) to analyze it, makes every part of the supply chain transparent and makes it possible to accelerate supply chain operations and facilitate business continuity.

As an example, consider the manufacturing industry. RPA provides manufacturers with access to a complete and accurate inventory of raw materials required in their manufacturing, which will allow them to determine the risk associated with each component of the products they manufacture.

They can then make realistic predictions as to when certain components will become available and develop a manufacturing schedule accordingly. This information can then be passed up the supply chain, influencing distribution and delivery schedules.

COVID-19 is still with us, and it will continue to affect the supply chain for months to come. But RPA can help ease the burden and increase the efficiency and agility of the supply chain to minimize the impact of the pandemic.

Reach out to one of our team members at Tangentia and discover how we can work with you to create a customized RPA solution to meet your supply chain needs.

Get Started on Your RPA Journey Today

Book a discovery call with a member of Tangentia’s automation team today to find out more about what RPA can do for you.

Process Mining Defined | What It Is, How It Works, And What It Can Do For Your Business

Process Mining DefinedProcess Mining Defined

Process Mining Defined | What It Is, How It Works, And What It Can Do For Your Business



Legacy business process management is obsolete.

Not that it worked particularly well to begin with. Per The Harvard Business Review, too often when reengineering a process, businesses fail to focus on how the process currently performs. While charting out the way they want things to work, they lose sight of the inefficiencies, bottlenecks, and performance problems within their existing ecosystem.

On the opposite end of the spectrum, there are the businesses that embroil themselves too deeply in analyzing their existing processes. In the absence of any effective process management tools, they spend inordinate time and resources on interviews and qualitative observation. The end result is the same.

Nothing gets done.

Even in organizations where roadmapping and analysis are well-balanced, there is a lack of visibility. A lack of connectivity between processes and the business's enterprise information system. Process mining represents the solution to that problem.

What Is Process Mining?

Process mining is essentially the intersection of data science and business process management. The basic idea is that in a modern context, every business process leaves behind a series of digital footprints. Although these are not always visible to data scientists, these footprints can functionally serve as 'breadcrumbs' through which an organization can gain a more complete picture of how its processes and systems intersect.

Process mining isn't actually a new idea. Although the technology to enable it only recently became available, it has existed as a theoretical field of research for over twenty years. The concept was first introduced in 1999 by Will van der Aalst, a Dutch computer scientist who is widely regarded as “the godfather of process mining.”

How Does Process Mining Work?

Process mining can typically be broken into six stages. Note that not every process mining platform applies all of these techniques.

  1. Ingestion and Orchestration. This is where the 'mining' in process mining takes place. Specialized algorithms are used to extract data from business information systems. This data may take many forms, including event logs, audit reports, transaction records, and customer support tickets.
  2. Discovery. The process mining platform leverages the consolidated data from the first step to create models of each process being evaluated. Referred to as process graphs or process maps, these are frequently interactive and explorable, and in some cases may include multiple process paths.
  3. Conformance. As processes are charted out, the algorithm references an intended process model, flagging any deviations so that they might be addressed. Insights from conformance may also be used to improve the existing model, a process typically referred to as performance mining.
  4. Analytics. The platform applies a range of different metrics to its process models, which may further assist in identifying root causes for the application of targeted fixes. This also allows a business to determine the impact each inefficiency has on business outcomes, and by association the return on investment that may be gained by optimizing that process.
  5. Benchmarking. By creating a digital twin of the process, the business can explore multiple scenarios to determine the most effective model. They can also benchmark this twin against their existing process, or leverage an external process model for the same purpose.
  6. Application. The final step is for the business to apply the insights generated in the previous five steps. This is typically best achieved as part of a greater business optimization initiative.

It's important to understand the process mining is ongoing. It is not a project that one can simply mark as finished and forget. There will always be new efficiencies to discover, new bottlenecks to address, and new opportunities to leverage.

What Are The Most Common Use Cases for Process Mining?

Typically, process mining is most commonly applied for one of the following purposes:

  • Human Resources. Improving recruitment, hiring, and onboarding practices. Optimizing employee management, including training, compliance, and performance tracking.
  • General Business Operations. Optimization of common business processes such as report generation, account creation, and approvals.
  • Finance. Enhancing procurement, improving invoice and payment processing, and identifying opportunities to reduce overhead through automation.
  • Software Delivery. More efficient lifecycle management, migration, and deployment. Greater visibility into testing and development.
  • Information Technology. Optimizing network operations, server management, and security controls. Running simulations to ensure more efficient deployments, particularly in hybrid environments.
  • Support. Identifying bottlenecks in ticket routing, and ensuring more effective, efficient resolution for both internal and external support requests.

What Are The Benefits of Process Mining?

The first, most obvious benefit of process mining is that it provides direct, objective insights. It looks 'below the hood' of a business, automatically mapping each process from tangible data. In addition to being less biased, process mining is considerably more accurate than legacy techniques such as surveys or workshops.

The second major benefit is tied to automation. Compared to legacy business process optimization, process mining is significantly more efficient. Because it doesn't require any manual work, this also means it's more cost-effective, as well.

Most process mining platforms also run without interrupting existing systems and processes, meaning you needn't worry about interrupting workflows or having to implement any complicated workarounds.

The application of process mining, as one might expect, can also improve a business in a multitude of ways:

  • Standardization of business processes
  • Improved accuracy, revenue, and outcomes through business process automation.
  • Reduced lead times and reaction times when dealing with customers.
  • Address noncompliance in real-time and analyze audit data more efficiently.
  • Identify bottlenecks and address process conflicts.
  • Eliminate redundant workflows.

Data-Driven Decision Making

Business process optimization has long felt like an uphill battle, but it no longer needs to be. With the advent of process mining, businesses can leverage data science and analytics to gain a level of visibility into business operations which would have previously been impossible. And through that visibility, they can make better, more informed decisions.

And more importantly, they can do so in a way that allows them to clearly demonstrate their efforts to senior leadership, both justifying their budget and providing executives with peace of mind.

Get Started on Your Digital Journey Today

Book a discovery call with a member of Tangentia’s digital team today to find out more about what process mining can do for you.

Monthly Tangentia Byte January 2022

  • Tangentia Byte January 2022Tangentia Byte January 2022

    Monthly Tangentia Byte
    January 2022

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We’re proud to announce that Tangentia has been certified as a Great Place to Work by Great Place to Work® Institute (India).



The Future of Chatbots: How Conversational AI Presents Game-Changing Opportunities.
As more people gravitate towards online shopping, digital business transactions, and overall digital integration into everyday life, businesses will feel more pressure to upgrade their chatbot technology if they want to stay ahead of the game, consumer trends, and more. Read this article to more about the chatbots of the future.


Blog Article:
eCommerce Integration a Top Tech Trend to Watch in 2022
The shifting expectations of consumers and employees, fueled by the increase in hybrid and remote work environments and online shopping over the past couple of years, demands solutions that make working and shopping easier than ever.
This has given rise to predictions for the top tech trends in 2022.



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eCommerce Integration a Top Tech Trend to Watch in 2022

eCommerce Integration a Top Tech Trend to Watch in 2022eCommerce Integration a Top Tech Trend to Watch in 2022

eCommerce Integration a Top Tech Trend to Watch in 2022

Technology has always evolved to adapt to a changing world and the changing needs of the people who live in it. That fact couldn’t be more evident than it has been in the past few years.

The shifting expectations of consumers and employees, fueled by the increase in hybrid and remote work environments and online shopping over the past couple of years, demands solutions that make working and shopping easier than ever. This has given rise to predictions for the top tech trends in 2022.

Tech Trends to Watch

Boomi’s 2022 Tech Trend Predictions outlines the top tech trends to follow in 2022. These tech trends include:

  • Low-code solutions – With IT staff and skill shortages looming large in the tech industry, the need for low-code solutions to accomplish digital transformations is a must.
  • Automation – Automation will be taken to the next level in 2022, relieving employees from performing manual tasks that are time-consuming and prone to error and lowering operational costs across industries.
  • Integration in the workplace – The need to work remotely a significant amount of time and The Great Resignation, both driven by the COVID-19 pandemic, has resulted in the need to develop data-driven processes and onboarding that will ensure better employee experiences.
  • The customer experience – Organizations that do not make use of integration to create a superior user experience will lose ground to their competitors.

With these trends in mind, let’s take a closer look at integration and the customer experience, particularly when it comes to ecommerce.

The Need for Integration in eCommerce

There is no industry where speed is more important than in the ecommerce industry. In the past 10 years, consumers have come to expect immediate connectivity and service at lightning speed. The COVID-19 pandemic has only increased the expectations of consumers as more and more people have turned to online shopping.

In the U.S., 52% of people are shopping more online, including grocery shopping, a domain that was once strictly a brick-and-mortar shopping experience. The UN reports that globally ecommerce has grown into a $2.9 trillion industry thanks to the pandemic.

What this means for ecommerce companies is that integration is critical to maintaining market share. This is just as true for brick-and-mortar retail companies that have an online presence as it is for strictly online ecommerce businesses.

The goal behind integration is to connect systems within your company, as well as integration your own systems with those of your partners. This includes not only your ecommerce platforms, but all supporting applications, such as inventory management, CRM, content management, digital marketing, and financial information. This will ensure that you are able to:

  • Improve data accuracy
  • Increase the speed of data exchange across systems
  • Keep your platform up-to-date
  • Provide customers with a more personalized and customized experience
  • Sync inventory in real-time across all sales channels
  • Streamline and simplify business processes
  • Improve scalability as sales volume and the number of sales channels grow

The result of this integration is that customers will be able to shop whenever and wherever they are and via any channels they wish. They will experience a seamless purchasing process and receive instantaneous communications and timely updates on orders so they will always know their status, thanks to:

  • Real-time inventory tracking
  • Instant order processing and fulfillment
  • Real-time status updates and alerts

However, in order to make this a reality, your ecommerce integration has to be of the highest quality.

Top-Quality Integration

The very best quality in ecommerce integration will ensure that your finances and inventory processes are all automated and fully integrated with your ecommerce platform. Boomi offers the first 100% cloud-based platform and is an industry leader in integrations.

Boomi’s simple, instant integration between on-premise and cloud systems requires no coding, and you will have your automation up and running in no time, with pre-built solutions that help accelerate ecommerce integrations.

What this means is that you don’t have to invest heavily in IT to implement full integration. Instead, you will have easy access to your integration platform without the need to install or maintain additional software or hardware.

Tangentia is proud of our partnership with Boomi, which will allow our customers to build faster integrations and reduce the time they spend on development by weeks or months, enabling a quicker digital transformation.

Reach out to an experienced Tangentia team member today for more information on how to enjoy the full potential of Boomi.

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