Category: Enterprise Software

Why Clutch Ranks Fingent As The Top Software Development Company In Australia?

Over the past 16 years, Fingent has partnered with clients across 4 continents and collaborated with start-up, mid-market, and large enterprises to solve business challenges with the latest custom software development practices. Our core values make us highly attentive to society, peers, family & self, and above all, customers. We are grateful that this client focus is recognized in reviews on Clutch and has enabled us to achieve the position of the leading software developer in Australia.

Clutch is a B2B rating and review platform with thousands of company profiles. Clutch carefully analyzes and evaluates industry data, brand reputation, and most importantly, client testimonials to craft authentic descriptions of development companies and their services. When a company is facing a business challenge, Clutch stands as a directory to browse through and find the right solution provider. Clutch connects businesses with leading performers, who receive industry recognition for their excellent services. When it comes to software development, Fingent ranks as the Top Software Developer in Australia. Here’s a peek into Clutch’s leader matrix, where Fingent stands top on the charts of Market Leaders in comparison to the competing companies.

We are extremely thankful to the clients who took the time to share their experiences about Fingent solutions and services on Clutch. Most recently, Sapra & Navarra LLP left us a review on our ongoing development services for their law firm. We were hired by Sapra & Navarra LLP to build a web-based AI machine learning program. Besides receiving 5.0 stars in the Clutch evaluation categories of cost, scheduling, quality, and willingness to refer, Sapra & Navarra LLP appreciated our accessibility and efforts to prioritize being available to answer any questions or concerns. They also applauded our organization, including our robust agendas of maintaining transparency through meetings and conference calls. 

Check out a summary of the perfect 5.0 review below! 

Once again, we are very grateful to our clients for sharing their positive feedback on Clutch. It inspires us to continue delivering unique, budget-friendly solutions on time. 

“We are excited to have been chosen as a top ASP.NET developer and NodeJS developer for 2020 by Clutch.” 

– Stephen Cummings, Senior Vice President – Business Development, Fingent

If you’re looking for a technology partner who can build a web or mobile app, deploy RPA or AI technology, or provide software consulting, please get in touch! We’d love to discuss your latest project.

How AI is bringing change to the software testing practice

Artificial Intelligence is penetrating into multiple functions performed by the software industry. In software testing, the technology holds the potential to be a game-changer. Imagine the capability of your software to test and diagnose itself and make self-corrections! This will lead to huge savings on your resources. With this in mind, let’s try and understand exactly how AI will impact the traditional way of software testing. 

Before we proceed, let’s get one thing clear – Do we really need AI in software testing?

Do We Really Need AI in Software Testing? 

Software testing came into existence as a result of the evolution of development methodologies. It fed the need for robust, error-free software products. Testing was a laborious task for sure. However, automating software testing required traceability and versioning, both of which were critical and needed careful consideration. Something was needed to resolve this.

As businesses move towards digital transformation and the software market continues to grow, businesses expect a real-time risk assessment across all stages of the software delivery cycle. AI in software testing is the right response to these challenges. AI can develop error-free applications while enabling greater automation in software testing. This helps meet the expanded, critical demands for testing. It improves the quality of engineering and reduces testing time allowing the tester to focus on more important things. The verdict is clear then – We Really Need AI for Software Testing!

Five Impressive Ways AI Impacts Software Testing

1. Improves object application categorization

AI is widely used in object application categorization. When tools and testers are created, unique pre-train controls can be created. Once the hierarchy of the controls is categorized, testers can create a technical map to obtain labels for the different controls. 

In the near future, AI will become capable of observing users perform exploratory testing on the testing site. And once user behavior is assessed, it can assign, monitor, and categorize the risk preference.

2. Automation of test case writing 

Gone are the days of web crawlers. As automation is picking momentum, AI tools have become capable of learning business usage scenarios of test applications. 

Related Reading: Unconventional Ways Artificial Intelligence Drives Business Value

They can automatically collect insightful data such as HTML pages, screenshots and page loading time and eventually train ML models for expected patterns of the app. And as soon as they are executed, any variations are marked as potential issues. This makes it easier for the tester to find and validate differences and fix issues. 

3. Enhanced accuracy

To date, source analysis requires human resources to accomplish the task. Unfortunately, because of the enormity of the data, even the best experts could overlook, or miss out on observing certain critical defects. Human error and the tendency to lose focus further impairs the experts involved in software testing. It can be disastrous if bugs caused by these errors are caught by consumers before project stakeholders. Product positioning and brand reputation can be jeopardized. 

Thankfully, AI can teach systems to learn source analysis and, in the future, apply this acquired knowledge. This ensures that testers have greatly enhanced accuracy. It eliminates the probability of human error and also shortens the time to run a test and increases the possibility of finding defects or bugs. 

4. Automation without the user interface

AI-based techniques can be applied for non-functional tests such as performance, security and unit integration. It can also be applied on various application logs which assists in developing auto-scaling capabilities such as bug prediction.

AI algorithms can enhance UI testing, predict the next test, determine the outcomes for subjective and complex tests and much more. In other words, AI could increase the overall test coverage while it increases the depth and scope of the test itself.

5. Reduces cost and decreases time to market

The need for manually repeating a test is time-consuming and extremely expensive. But with AI, such tests can be automated to repeat several times over. Each time the software test is repeated automatically, the source code gets modified to correct any bugs. This eliminates the additional cost of repeating the test and increases the speed of the test from days to hours, which in turn saves more money.

Related Reading: Quality Assurance in Software Testing – Past, Present & Future

Allow AI to Revolutionize your Business

AI has proven to have a significant impact on software testing with its benefits ranging from optimization to extraordinary savings. It enables testers to move beyond the traditional route and dive toward precision-based testing processes. This can prove invaluable to your business. To find out how you can make this happen for your business, contact us. 

Fingent Receives High Praise from Leading Businesses Around The World!

In today’s increasingly digital marketplace, technology is key to gaining a competitive advantage. Of course, with technology advancing at an unprecedented rate, determining how to most effectively deploy the latest technologies is easier said than done.  As a top custom software development company, we build high-quality, cost-effective web and mobile solutions that deploy the newest technologies and meet all of your enterprise needs. 

We’re committed to delivering the best quality and customer service — and for that reason, we’re a trusted partner to some of the world’s leading enterprises and businesses. 

We know how important it is for potential buyers to peruse client testimonials and understand what it’s like to work with us before signing a contract, and that’s why we’ve partnered with the ratings and reviews platform Clutch.

Of more than 300 firms, Clutch ranks us among the top 3 software developers in NY! Clutch determines industry leaders based on market research and client feedback, so we’re immensely grateful to the clients who have left reviews for us. One of our recent reviews was from Wage CALC, a company that provides attorneys and legal professionals with a better way to manage their wage and hour cases with wage & analysis software. 

Wage CALC was in need of custom software development services. They were looking for a trustworthy, well-known developer — and they found us on Clutch! Deploying a Microsoft Excel prototype that they’d created, we built their cloud-based app from the ground up.

“I’ve had such an excellent experience with them. Fingent exceeded my expectations.” — Founder & CEO, Wage CALC

The client was impressed that we were able to break down their complex, formula-heavy prototype. They commended our professional and responsive team and were particularly appreciative of how our SVP helped to streamline communication between our team in India and theirs in California.

We received another 5-star review from a large transportation and logistics company that specializes in oil and gas equipment pickup and delivery. There’s a significant technology gap when it comes to processing orders, invoicing, and workflow management within the logistics industry, and we were prepared to change that.

We developed an end-to-end transportation management solution. The solution allows customer service representatives to assign vehicles for order pickup and delivery, while drivers can use a mobile version of the solution to send documentation and process tickets and billing. The company’s accounting team also uses the system to do invoicing, collect payments, and close orders. 
“The management system is light years ahead of anything else in our industry.” — IT Director, Transporation Company

The client appreciated our consistency and availability, along with our team’s impressive knowledge and talent.

Meanwhile, The Manifest, Clutch’s partner site listing market experts, ranks us as the #1 custom software development company.

Fingent is not just recognized by the Clutch! A few well-known rating sites like the Software World, have also appreciated Fingent for its expertise in software development and technology solutions.

Learn more on why Fingent is the most trusted Tech Partner for emerging enterprises, and how our expertise can benefit your business. Contact us today — we offer free consultations! 

Turning The Year Of Multi-Cloud Adoption for Enterprises

There has been a lot of hype going on around businesses adopting multi-cloud strategies that make use of public, private, and hybrid cloud services. Businesses, especially the mid-market and enterprise-level industries can utilize multi-cloud strategy as a smart investment by leveraging the benefits of its resilient performance and virtual infrastructure.

A multi-cloud strategy is all about adopting a mixture of IAAS (Infrastructure As A Service) services from multiple cloud providers and sharing workloads among each of these services which are reliable, secure, flexible, and of course cost-effective. 

Why Must Businesses Opt For A Multi-Cloud Strategy?

Businesses can adopt a multi-cloud strategy to acquire an optimal distribution of assets across the user’s cloud-hosting environments. With a multi-cloud strategy, businesses can have access to multiple options such as favorable Service Level Agreement terms and conditions, greater upload speed selection, customizable capacity, cost terms, and many more.

How Can Businesses Make A Multi-Cloud Adoption Decision?

Multi-cloud adoption decisions are based on 3 major considerations:

• Sourcing – Agility can be improved and chances of vendor lock-in can be avoided or minimized by sourcing. This decision can be driven by factors such as performance, data sovereignty, availability, regulatory requirements, and so on.
• Architecture – Architecture is a major decision-driver as many modern applications are mostly of modular fashion that can span multiple cloud providers and obtain services from any number of clouds.
• Governance – Businesses can now standardize policies, procedures, processes, and even share tools that can enable cost governance. By adopting services from multiple cloud providers, enterprises can now ensure operational control, unify administrative processes, and monitor their IT systems more effectively and efficiently.

Better disaster recovery and easier migration are the other key benefits that drive enterprises to adopt multi-cloud strategies.

Related Reading: Cloud Computing Trends To Expect In 2020

Top 7 Reasons To Adopt Multi-Cloud For Your Business

• Ability To Find The Best-In-Class Multi-Cloud Providers

Businesses administrators can bring in the best-in-class cloud hosting providers for each task that best suits their requirements. In a recent survey by Gartner, 81% of respondents said that the multi-cloud approach proved beneficial to them. Businesses are free to make their decisions based on the sourcing, architecture, and governance factors as mentioned above.

• Agility

According to a recent study by RightScale, organizations leverage almost 5 different cloud platforms on average. This figure shows the transformation of enterprises increasingly towards multi-cloud environments. Businesses struggling with legacy IT systems, hardware suppliers, and on-premise structures can benefit from adopting multi-cloud infrastructures to improve agility as well as workload mobility amongst heterogeneous cloud platforms.

• Flexibility And Scalability

With a competent multi-cloud adoption, enterprises can now scale their storage up or down based on their requirements. A multi-cloud environment is a perfect place for the storage of data with proper automation as well as real-time syncing. Based on the requirements of individual data segments, businesses can depend on multiple cloud vendors specifically. For improved scalability, enterprises must focus on achieving the following 4 key factors:

1. A single view of each cloud asset
2. Portable application design
3. The capability to automate and orchestrate across multiple clouds
4. Improved workload placement

•  Network Performance Improvement

With a multi-cloud interconnection, enterprises can now create high-speed, low-latency infrastructures. This helps to reduce the costs associated with integrating clouds with the existing IT system. When businesses extend their networks to multiple providers in this manner, proximity is ensured and low-latency connections are established that in turn improves the application’s response time along with providing the user a better experience. 

• Improved Risk Management

Risk management is a great advantage that multi-cloud strategies can provide businesses with. For instance, consider the case where a vendor has an infrastructure meltdown or an attack. A multi-cloud user can mitigate the risk by switching to another service provider or back up or to a private cloud, immediately. Adopting redundant, independent systems that provide robust authentication features, vulnerability testing as well as API assets consolidation ensure proper risk management. 

• Prevention Of Vendor Lock-In

With a multi-cloud strategy, enterprises can evaluate the benefits, terms, and pitfalls of multiple service providers and can choose the option to switch to another vendor after negotiation and careful validation. Analyzing terms and conditions before signing a partnership with a vendor can prevent vendor lock-in situations.

• Competitive Pricing

Enterprises can choose between the vendors and select the best-suited based on their offerings such as adjustable contracts, flexible payment schemes, the capacity to customize, and many other features.

To learn more about adopting an effective multi-cloud strategy and the benefits it offers, drop us a call and talk to an expert. 

Every new project in an organization goes through an analysis phase. The information collected during the analysis forms the backbone for critical decisions with regards to the complexity, resources, frameworks, time schedule, cost, etc. Over the years, there have been several techniques to simplify the project analysis phase, but most of them still remain inadequate when considering the accuracy of the outcome. Even clearly defined projects can fall out during the later stages without an accurate analysis methodology in place. 

Mitigation of risk in software projects turns out to be of prime importance. Usually, it starts with delineating precise measurements concerning the scope, performance, duration, quality and other key efficiency metrics of the project. Advanced analysis techniques like Function Point Analysis (FPA) bring a clear picture regarding each of these metrics, chiefly related to the project scope, staffing, cost and time, which helps in the management, control, customization of software development right from its initial planning phases. 

Function Point Analysis is a standardized method used commonly as an estimation technique in software engineering. First defined by Allan J. Albrecht in 1979 at IBM, Function Point Analysis, has since then underwent several modifications, mainly by the International Function Point Users Group (IFPUG).  

What is Function Point Analysis?

In simple words, FPA is a technique used to measure software requirements based on the different functions that the requirement can be split into. Each function is assigned with some points based on the FPA rules and then these points are summarized using the FPA formula. The final figure shows the total man-hours required to achieve the complete requirement.  

Components of Function Point Analysis

Based on the interaction of the system components internally and with external users, applications, etc they are categorized into five types:

• External Inputs (EI): This is the process of capturing inputs from users like control information or business information and store it as internal/external logic database files.
• External Outputs (EO): This is the process of sending out data to external users or systems. The data might be directly grabbed from database files or might undergo some system-level processing.

• Inquiries (EQ): This process includes both input and output components. The data is then processed to extract relevant information from internal/external database files.

• Internal Logic File (ILF): This is the set of data present within the system. The majority of the data will be interrelated and are captured via the inputs received from the external sources.
• External Logic File (ELF): This is the set of data from external resources or external applications. The majority of the data from the external resource is used by the system for reference purposes.

Source: https://bit.ly/2N2KFhy

Below are some abbreviations which need to be understood to know the logic in-depth:

Data Element Type (DET): This can be defined as a single, unique, non-repetitive data field. 

Record Element Type (RET): This can be defined as a group of DETs. In a more generic way, we can call this a table of data fields.

File Type Referenced (FTR): This can be defined as a file type referenced by a transaction (Input/Output/Inquiry). This can be either an Internal logic file or an external interface file. 

Based on the number of  DETs and RETs, all the five components of FPA are classified into High, Average and Low complexity based on the below table.

For Internal Logical Files

And based on the complexity, the FPA points are calculated

For External Logical Files

And based on the complexity, the FPA points are calculated

For External Input Transactions

As the External input is a Transactional type, the complexity is judged based on FTR instead of RET.

And based on the complexity, the FPA points are calculated

For External Output Transactions

As External Output is a Transactional type the complexity is judged based on FTR instead of RET.

And based on the complexity, the FPA points are calculated

For Inquiries

As Inquiries is a Transactional type the complexity is judged based on FTR instead of RET.

And based on the complexity, the FPA points are calculated

As we now have the reference chart to find the complexity of each variety of functions discovered in the system and that we also have the Points that should be assigned based on the complexity of each component. We can now look into the calculation.

Steps to Count the Function Points

Below are the steps used in counting the function points of a system.

1. Type of count: The very first step of this process is to determine the type of function count. There are 3 types of function point (FP) count. 

• Development Project FP Count: This measures the functions that are directly involved in the development of the final system. This would include all the phases of the project from requirements gathering to the first installation.
• Enhancement Project FP Count: This measures the functions involved in the modifications brought in the system. That is the changes made to the system after production.
• Application FP count: This measures the functions involved in the final deliverable excluding the effort of already existing functions that may have existed.

2. Scope and Boundary of the Count: In the second step, the scope and boundary of the functions are identified. Boundary indicates the border between the application being measured and the external applications. Scope can be decided with the help of data screens, reports, and files.

3. Unadjusted Function Point Count: This is the main step of this process where all the function points produced from the above FPA components (External Inputs, External Output, Internal Logic files, External Logic files, Inquiries) are added together and labeled as unadjusted function point count.

4. Value Adjustment Factor: In this step the value adjustment factor is determined. VAF contains 14 General system characteristics(GSC) of the system or application that defines the types of application characteristics and is rated on a scale of 0 to 5. The sum of all the 14 GSC rates are calculated to give out a mathematical value and is labeled as Total Degree Influence(TDI). TDI is used in the calculation of VAF and its value may vary from 0 to 35.

Below are the 14 GSCs listed and the mathematical formula for calculating the VAF.

• Data communications
• Distributed data processing
• Performance
• Heavily used configuration
• Transaction rate
• On-Line data entry
• End-user efficiency
• On-Line update
• Complex processing
• Reusability
• Installation ease
• Operational ease
• Facilitate change
• Multiple sites

Once the unadjusted function point and value adjustment factor is calculated, the Adjusted Functional point count is found out using the two values. This is done with the help of the following formula. 

The Adjusted FPC is then multiplied with a numeric value, which is the effort based on the technology. Some of the examples are below.

If the technology selected for a particular requirement is Java, then the formula to calculate the final hours are as follows:

FPC = (Non-adjusted FPC*VAF) * 10.6

This will give the total hours of effort required to achieve the requirement under analysis.

Merits of Function Point Analysis

• FPA measures the size of the solution instead of the size of the problem
• It helps in estimating overall project costs, schedule, and effort
• It is independent of technology/programming language
• It helps in the estimation of testing projects
• FPA gives clarity in contract negotiations as it provides a method of easier communication with business groups

Related Read: Quality Assurance in Software Testing – Past, Present & Future

References

• International Function Point User Group (IFPUG)  – https://www.ifpug.org/
• ProfessionalQA.com – http://www.professionalqa.com/functional-point-analysis
• Geeksforgeeks – https://www.geeksforgeeks.org/software-engineering-functional-point-fp-analysis/

Fingent Emerges as a Leader in Node.js Development 

Fingent is proud to announce that we have been featured in a recent press release recognizing the top Node.js development companies by TopDevelopers.co, a renowned review and research platform of IT service providers. 

The importance of Node.js

Node.js is a versatile server-side environment that lets the developer create powerful server-side applications with JavaScript. The availability of a large repository of codes, speed and the efficiency of Node.js are the factors that have contributed to the rising popularity of the platform.

About Fingent

Fingent was established in 2003 with an aim to provide custom software services to our clients. With determination, hard work and a constant focus on the requirements of our customers, we have expanded and today we are serving clients across more than 20 industrial sectors and have an active client base in more than 14 countries covering 4 continents.

With a curious mind and a constant zeal towards customer satisfaction, we have been able to achieve this milestone of entering the coveted list of top Node.js developers.

Why do clients consider Fingent as an efficient service provider?

We have been able to achieve a satisfactory rating of 4.9 out of 5 on the 650+ projects that we have completed. In all these years, we have never lost our focus on understanding the problems of the clients and offering innovative solutions to them. We have established a dedicated research and development center in India to focus on delivering innovative solutions to our customers.

More than 30 companies including brands such as Sony, NEC, PWC, and Johnson & Johnson have named us as their Global IT partners.

We provide a plethora of exclusive and efficient IT services to our clients which includes services like enterprise software development, hybrid app development, Internet of Things, IT consulting, product development services, mobile application development services, Artificial Intelligence, custom software development, cloud computing, iOS app development, and SAP.

We have happily worked with clients from a diverse set of industries like retail, logistics, real estate, oil and gas, healthcare, fitness, legal consultants, chemicals, to name a few, but we have never let them go without a smile of satisfaction after project delivery. Working with diverse industries and varied client requirements has helped us in learning the nuances of each industry, which has ultimately helped us in serving our clients in a better manner. 

We helped a client in designing a solution that uses the data of NHS (National Health Service) in the United Kingdom as input and gives interactive visually rich graphs as output. The aim was to analyze the data and provide the users with a list of the best hospitals in the U.K. The solution we developed provides the users with every detail about the hospitals listed.  Our portfolio has more details about NHS and a deep insight into our projects, work proficiency, technical product development skills, and professionalism.  

“We take a holistic view, considering for instance – the role of the app in the larger ecosystem that may include AI, Big Data and IoT, whether it connects to 3rd party systems, and most importantly the desired Customer Experience across the entire customer journey.” is what our Senior Vice President – Process and Technology, Mr. Deepu Prakash, expressed in an interview with TopDevelopers.co. 

The profile of Fingent on TopDevelopers.co has all the interesting details on how Fingent has successfully been maintaining a remarkable balance between the clients we cater to, the various industrial sectors we serve, and the wide range of services that we provide.  

Who is TopDevelopers.co?

TopDevelopers.co is a directory and review platform for B2B IT Firms. They offer unbiased service to service seekers, by providing them a listing of genuine and highly professional IT firms, that can help the service seekers in achieving their goals by providing high-quality technical services.  The research team of TopDevelopers.co chooses the best firms by filtering a vast list of companies and introduces only the competitive names to the businesses, enterprises, and entrepreneurs to partner with. The company has a friendly team of researchers and a hassle-free communication system. They provide the listing service for various technologies and services, which makes it a one-stop destination to find your perfect technology partner. To give its clients a broad range, TopDevelopers.co reviews companies from all across the globe and you can filter the companies according to the country of origin, size, cost and other parameters. 

To know more about why Fingent is rated as the top Node.js development company by TopDevelopers.co and how our skills and expertise can bring your business the competitive advantage to excel, contact us! 

Clutch Yet Again Rates Fingent As The Top Custom Software Development Company

As a dominant software development company, Fingent sets the bar high in building highly affordable products for companies small and large. We’ve become the trusted partner in enterprise solutions for some of the world’s leading businesses like Johnson & Johnson, Sony, and PwC. Our work and our strong leadership in technologies like .Net, NodeJS, AngularJS, AI enabled Chatbots and Microsoft, has once again caught the attention of Clutch.co, as they recently recognized us as Australia’s top B2B company.

Clutch, is a B2B rating and review platform located in Washington, DC. In their latest report that we were named in, their dedicated analysts evaluated technology sub-services based on their expertise, their portfolio of work, and their ability to deliver top-notch products for their clients. Their independent review process is meticulous and transparent, and we’re especially grateful to our clients for taking the time to leave a review or speak with Clutch analysts over the phone to provide feedback.

Fingent CEO and MD, Varghese Samuel

Beyond the generous reviews left on Clutch, our success is also reflected on the company’s sister-sites: Visual Objects and The Manifest. Visual Objects showcases portfolios from various creative software developers, to aid prospective clients in visualizing a future project before hiring. The Manifest also helps prospective clients, through industry reports and how-to guides, that provide businesses with practical knowledge of the services and technologies used by the B2B companies. Here, we are listed and recognized for our abilities in NodeJS and AngularJS. 

Our constant approach in redefining business with trending technologies like Microsoft and Artificial Intelligence have enabled us to rank amongst the top-rated custom software developing companies in Clutch, Visual Objects, and The Manifest.  We have repeatedly been appreciated and recognized for our capabilities in AI-driven Chatbots for enhanced user experience.

Our motive to shape the future of industries with enhanced, custom software solutions has led us to where we are today. On behalf of Fingent top custom software development company, we would like to thank all of our clients that we have had the pleasure to work with, and Clutch for this prestigious recognition.

If you would like to learn more about our services, check out our profile in Clutch.

Despite the industry buzz over the past few years, benefits realization and simple operational stability after go-live are arguably the biggest challenges companies are facing when implementing their new ERP systems. Recently, 60% of organizations failed to realize the business benefits they expected from their ERP implementations!

Among the business management tools available today, numerous studies illustrate the key factors to consider before choosing an ERP system for your business. The “Clash of the Titans” report by Panorama Consulting summarized quantitative results from hundreds of ERP implementations across the globe. The results showed that implementing the SAP ERP system, and implementing the Oracle ERP system produced very different results for different businesses!

For instance, an Oracle customer spends less on its implementation. Compared to this, a SAP customer is able to offer an implementation timeline that is relatively close to what was forecasted to be.

Another research considered a data set of over 2000 respondents from 61 countries, to illustrate the value of the people’s respective ERP implementation. The results showed that SAP held the largest market share of three vendors, with a 22% share.

The Key Factors That Make SAP Stand Out

• SAP or Systems, Applications, and Processes deal with data planning.
• The use of SAP has been compatible with large corporations such as Microsoft and IBM. Oracle, on the other hand, stands for Object Relational Database Management Systems (ORDBMS) and can be hosted in a number of platforms.
• SAP is a business management tool that allows real-time tracking in addition to the management of sales, finance, accounting, and human resources.
• SAP does not follow the traditional information system management where each management tool is considered as an individual system that operates independently.
• SAP integrates business applications using ERP (Enterprise Resource Planning Software) and on the other hand, Oracle, an Object Relational Database Management System (ORDBMS), is used in enterprise environments.
• Development and deployment in SAP can include Oracle as a database system as it can be integrated with numerous databases.
• SAP performs with a single information pathway alone for their entire enterprise and all other common information.
• SAP applications cannot interact with their own systems but can interact with other processes in order for tangible business events to happen.
• SAP ensures easier functions of management. This includes integration and other functions.
• The SAP model runs on a programming language of the fourth generation. It is known to us as Advanced Business Application Programming (ABAP).

Related Reading: Check out how SAP HANA technology is the new game changer for industries.

On the other hand, Oracle is an Object Relational Database Management System (ORDBMS) that comes from the massive Oracle Corporation.

The Oracle Database Management System is created with at least a single instance of a particular application. These specific instances are specific processes of the operating system, also benefit the storage!

In a nutshell, the key differences between Oracle And SAP are as follows:

Related Reading: Find reasons why you should use SAP and how you can plan a budget for it.

Who is King In The Area Of Business Software?

SAP and Oracle compete mainly in the areas of Business Software like ERP, CRM, and SCM. SAP is said to have more installs than Oracle in bigger companies. Let’s have a walk-through across some key reasons:

• SAP Being The Pioneer

SAP ERP ran to the list first. SAP was already well established as a full ERP solution when Oracle was just starting to establish a Financials package for companies! By virtue of being first, SAP is well embedded in this environment.

• A Much Better Integrated Solution

The core SAP ERP modules were built from scratch to full integration. So when a change is made, all other related modules are updated immediately. This comes useful when you extend it with a CRM or SCM functionality.

• Mind-Share And Brand Recognition

Most companies/ people tend to have considered ERP implementation also as a status decree! They believe it increases their brand value.

• Support Factors

SAP has a much larger pool of developers and consultants with a much larger installation base!

Read: 5 Tips For Getting The Best Out Of Your ERP System

CIO Strategies Matter! – How SAP Drives Ahead Of The Game!!

There are several case studies to validate why SAP is preferred over Oracle by many Business and CIOs. They are as follows:

• SAP being the pioneer in ERP implementation

As SAP has been the leader and the pioneer in implementation, it preferred over Oracle with a brand value which indicates ERP leadership and preference.

• SAP is an in-house built product

SAP was built in house. It has worked with industry experts to evolve the ERP processes and is able to build a robust solution. It allows customers to customize SAP functionality and yet get the client specific processes defined in ERP.

• Robust integrated and scalable ERP

SAP has designed a highly integrated ERP which has world-class performance and scalable to multiple solutions. It also easies integrations with 3rd party solutions.

• IS –Solutions

SAP has provided additional IS solutions which are optional but they allow businesses to have specialized processes on single ERP which is well integrated and reap benefits for “best industry solutions”

• SAP Analytics

Integration on ERP and BI is notable and provides unbeatable performance and flexibility to define reports. Analytics based reporting Management to take real-time decisions

• SAP Support services

SAP provides class support services which give Business assurance of resolution in critical situations.

• SAP provides implementation methodology and Best practices and Tools

These tools provide a fool-proof implementation road map and reduce risks during the course of implementations. Following this guidance one can implement SAP in as less as 4 months; which means faster ROI.

• SAP Hana Features

SAP HANA with its “in memory” capability ensures super speed of processing data. The new UI solutions via Fiori give top class User experience.

In a nutshell, hiring the best qualified, focused and unbiased ERP can make your business more successful. So stay focused with our latest articles and blogs on SAP versus Oracle ERP implementation to go-live successfully!!

Most of us, technology geeks or not, are eager to stay first in line to catch up with the latest game-changing technology trends. Here we are to know which technologies will thrive in future!

The Potential Technology Trends You Need To Explore In 2025

Have you ever looked up at the sky and clapped your eyelids on a bat? This is commonplace. But what if it was a drone. Or would it be a flying fleet? Since we don’t belong to the Jetsons family, the latter is not expected but we are close to it! This year is definitely a transformative year for technological innovation!

According to Gartner, the Top 10 Strategic Technology Trends for coming years are Block chain, Artificial Intelligence, Empowered Edge, Privacy and Digital Ethics, Quantum Computing, Immersive Experiences, Augmented Analytics, Autonomous Things, and Digital Twins!

This is just the tip of the iceberg. Following are the emerging technology trends and catalyzing technical innovation that we can expect to see more of in future!!

Related Reading: Find how digital innovation is transforming today’s business world.

1. Blockchain Technology – The ‘New Internet’

Some call Blockchain technology the ‘New Internet’. The blockchain is the brainchild of a person or group of people known by the pseudonym, Satoshi Nakamoto. It permits digital information to be distributed but not duplicated.

It was first devised for the digital currency, Bitcoin.  It is also called the “digital gold”. To this day, the total value of the currency is nearly $112 billion US!

“Blockchain solves the manipulation problem”, says Vitalik Buterin, inventor of Ethereum.

2. Artificial Intelligence (AI)

Apart from AI-powered chatbots, This year will witness chip manufacturers such as Intel, NVIDIA, AMD, ARM, and Qualcomm shipping specialized chips that speed up the execution of AI-enabled applications.

This year will also be the year for hyperscale infrastructure companies like Amazon, Microsoft, Google, and Facebook.

Related Reading: Check out the top AI trends

3. Cloud-independent edge computing

The study from IDC illustrates that 45 percent of the entire data created by IoT devices will be stored, processed, analyzed and acted upon close to or at the edge of a network by 2024! Edge computing is a mesh network of data centers that process and store data locally before being sent to a centralized storage center or cloud.

4. Privacy and Digital Ethics

Facebook, recently witnessed the biggest security breach in which 50 million accounts were compromised. Facebook, later clarified that data of 30 million accounts were stolen.

People are becoming more nervous about how organizations and third-parties are using their personal data.

5. Quantum Computing

The world is behind building the first fully-functional quantum computer. Also called the supercomputer, this is expected to be a cloud service rather than an on-prem service. IBM is already offering cloud-based quantum computing services. For instance, the automotive, financial, insurance, pharmaceuticals, military, and research industries have the most to gain from the advancements in Quantum Computing.

6. Immersive Experiences

Conversational platforms are changing the way in which people communicate with the digital world. Virtual reality (VR), augmented reality (AR) and mixed reality (MR) are changing their approaches to know more about people’s perception.

7. Augmented Analytics

Augmented analytics relies on augmented intelligence. This uses machine learning (ML) to transform how analytics content can be developed, consumed and shared.

“Through 2020, the number of data scientists will grow five times faster than the number of experts”, says David Cearley!

8. Autonomous Things

Autonomous things, such as robots, drones, and autonomous fleet, use Artificial Intelligence techniques to automate their functions that were previously performed by humans.

9. Digital Twins

A digital twin is a digital representation of real-world items that are interlinked. Cearley states that there can be digital twins of people, processes, and things!

A DTO is an aspect of the Digital Twin evolution that is a dynamic software model that relies on operational or other data. DTOs help drive efficiencies in business processes.

Apart from these, there are other key technology trends that organizations need to explore in future. These include:

10. Cybersecurity and Risk Management

According to the estimates from the firm Gemalto, the data breaches were 4.5 billion in the first half of 2018! The University of Maryland study found that hackers attack computers every 39 seconds.

In coming years we will be facing a more sophisticated array of physical security and cybersecurity challenges.

Cybersecurity is thus the digital glue that has held IoT, Smart Cities, and the world of converged machines, sensors, applications, and algorithms operational throughout!

11. Smart Spaces

A smart space is a physical or digital environment in which humans and technology-enabled systems interact in an increasingly open, connected, coordinated and intelligent ecosystems, according to Gartner! The world of technology is to enter accelerated delivery of smart spaces in 2019.

 12. Self-powered data centers

Data centers grow every minute with the implementation of virtual servers and storage, energy-efficient buildings. In coming years, the data centers are expected to run on its own self-contained power plants!

13. IoT integration

This year will witness more IoT implementation. An International Forrester IT survey that said among a recent group study, 82% of respondents were unable to identify all of the devices connected to their networks. Of this lot, 54% were nervous about device security, and 55% were concerned about integration!

Related Reading: Find the role of Data Analytics in Internet of Things (IoT)

14. More self-service IT kiosks for business users

This year will be a year of IT innovation designed to build better communication between IT and end users. The self-service IT kiosks to be set up would enable users to log on and choose what they want for the apps that they build.

15. The Internet of Things and Smart Cities

50 billion equipment, including smartphones, and others are expected by the IoT to be wirelessly connected via a network of sensors to the internetin future. 

The term “Smart City” means creating a public/private infrastructure to conduct activities that protect and secure citizens. It integrates communications (5-G), transportation, energy, water resources, waste collections, smart-building technologies, and security technologies and services!

To upgrade your business with the latest technology trends on the table, contact the experts at Fingent today! Also, read through our latest blogs to learn more about accelerated technological development!!

Also known as Intelligent Automation, Robotic Process Automation leads to business success with the robots being able to perform complex tasks. Recent researches have shown that robotic process automation can help in successfully carrying out 87.5 percent of the tasks on time on its own!

According to Forrester Research, 2018, “CIOs should use robotic process automation to digitize and optimize operations, to create and act upon advanced insights, and to drive business technology innovation.”

Institute for Robotic Process Automation and Artificial Intelligence, define RPA as an application of technology that aims to automate repetitive business processes. RPA tools help a company to configure software—a “robot,” so to speak—in order to capture and interpret applications for processing transactions, manipulating data, triggering responses, and communicating with other digital systems.

Everything you need to know about using Robotic Process Automation For Your Business Growth: Tips and Tricks!

Over the next three decades, statistics show that over 76 million baby boomers, rather freshers will retire and only 46 million new workers will be available to replace them! During this time, the demand for labor will rise, making robotic automation a real and viable solution! But this does not indicate that Robotic Process Automation means career extinction!!

Robotic Process Automation – Important Insights and Forecasts!

North America bagged the highest in 2017 for using RPA and the trend is expected to continue over the forecast period. The reason is the increased penetration of automation and process management solutions across the region. The fastest-growing region is expected to be the Asia Pacific. It was valued at USD 45.9 Million in 2017. Automation, which includes machine learning, robots, and AI are the strong sectors for market growth in the Asia Pacific region.

Let’s walk through the major ways in which Robotic Process Automation drives business growth:

Cost Savings By Making Work Robo-Automated!

Implementing Robotic Automation in your business enables 24/7/365 operational functionality at the cost fraction of an individual! Through work process automation, administrative costs are reduced immediately and no additional back-office resources are required. Implementing RPA requires an initial financial investment, but it increases the overall efficiency and productivity. It ensures the reduction of errors as well.

Advanced Analytics Prove Business Process Optimization

Data is King! Recent studies have shown that the use of automation ensures 100% compliance of data-driven regulatory standards (HIPPA, PCI, etc.). Integrating technology within any enterprise infrastructure function enhances the ability to predict future results and optimize business processes.

Through the use of Robotic Process Automation, operational processes can be assessed based on the performance data of your business. By creating a constant data-driven feedback loop, higher levels of efficiency can be measured. This cannot be achieved with human operation.

Improved Performance, Efficiency, Quality and Reliability

Robotic tasks and workflows are efficient and ensure 100% accuracy and availability. Automation eliminates repetitive functions.
RPA helps employees to apply their skills and experience toward core business objectives. This is made possible with automation as repetitive mundane tasks can that drive innovation and growth.

Protection from Injurious Tasks

Also termed Musculoskeletal Disorders (MSDs), Repetitive Strain Injury occurs from performing the repetitive tasks at high speeds. This results in swelling and cramping. When performed continuously at high intensity for a longer duration, it results in a chronic disorder!

According to the statistics, in 2012, the manufacturing industry had the fourth highest number of MSDs, with 37.4 incidents per 10,000 workers. In such cases, robots are the best suited for completing repetitive tasks, thus saving employees from dangerous work disorders!

Automation Workflow Independence With RPA Integration: Correct Those Brittle Workflows

What can be more charming than the freedom to integrate with any available technology? A prime advantage of RPA integration is it does not require Information Technology (IT) resources.

When funding for large IT projects is a bottleneck for corporations because of its need for programmatic integration with enterprise-wide systems and applications, it forms a major IT development barrier.
For instance, consider the success of Software as a Service (SAAS) solutions such as Salesforce, Zendesk, GoToMeeting, Slack, Workday and so on. These have witnessed tremendous success by their ability to be deployed with very limited technology backbone. Similarly, Robotic Process Automation bypasses the IT sector through its “View Layer” integration approach. The centralized engine it has is trained to communicate and operate with existing applications at the desktop level and not the back office. Thus robotic process automation rules and workflows can be defined by anyone!!

Surface Automation and Document Processing With RPA: Need to Handle Brittle Workflows

RPA is useful when you need to automate the process of adding data to or manipulating data within one of those systems. This is called Surface Automation. RPA provides an effective solution for accessing and working with data housed in those systems.

Additionally, RPA tools are used by businesses for Document Processing. These RPA tools can open a file, parse its contents, and move files.

The concern is since RPA engages with systems on a surface level, the workflows built with RPA are brittle. For instance, If a document’s format changes, the RPA process must change accordingly. So now there is a need to streamline these brittle workflows.

The Future Is Now With Robotic Process Automation!!

The Robotic Process Automation (RPA) market size was valued at USD 357.5 Million in 2017 globally. This value is expected to reach a CAGR of 31.1% over the forecast period.

The ever-mounting demand for Business Process Automation (BPA) through the use of Artificial Intelligence (AI) and software robots are featured to be the key growth-driving factor for the market.

Integrating RPA in the core business enables a business to streamline IT and business operations.

Also, its ability to mimic the numerous skills of humans, without human intervention while consistently carrying out prescribed functions and scaling up or down to meet the demand is expected to augment the market demand!!

Robotic Process Automation will play a significant role in the automation of Customer Experience and be a key factor in your business in the near future! Consult our experts at Fingent to know how Robotic Process Automation can bring incredible changes to your business.

Related Reading: CTOs Guide – How Robotics and AI Can Improve Customer Experience