Category: Digital Transformation

How Emerging Technology is Transforming the Healthcare Industry?

Technology has advanced by leaps and bounds and brought about changes in every industry. The Healthcare industry is no exception. Thanks to the advanced technology in healthcare, today, patients have access to some of the best and cutting-edge treatments. Also, patients can have access to innumerable minimally-invasive procedures that are less painful and result in better recovery.

With the world reeling under the COVID-19 pandemic, most countries are following lockdowns and social distancing to curb the spread. However, with the help of technology, remote consultations with experts, and the availability of intuitive mobile apps have helped patients (non-COVID) to receive improved patient care and quality healthcare experiences.

Read more: Digital Tools Reshaping the Healthcare Industry 

The following are seven of the top impacts of technology in healthcare that are revolutionizing the field. 

1. Improved Communication

Emerging technology in healthcare has facilitated improved communication within healthcare organizations. More and more medical professionals are leveraging technology such as video, AR/VR, real-time meeting capacities, and other online platforms to communicate and help spread knowledge in the field. Also, teleconferencing has made communication beyond geographic borders a breeze.

2. Electronic Medical Records

Gone are the days of bulky files and worn-out papers, Electronic Health Records (EHRs) or electronic medical records help save summaries of a patient’s medical records digitally. The digital summary can include lab reports, diagnoses, surgical interventions, prescriptions, and even details of hospital stays. Electronic medical records offer better insights into a patient’s health leading to accurate diagnosis and better patient care.

Digital records facilitate the sharing of information between specialists and labs thereby improving coordination. If properly maintained and implemented, digital records can also help increase accountability and reduce medical negligence.

Simply put, EHRs consume less time to create and are easier to maintain. They help medical professionals reduce the chances of making mistakes and make their life easier.

3. Big Data

For the uninitiated, big data refers to a large amount of data that is fast or complex and difficult to process using traditional methods.

Health technology allows medical accountants to gather big data in a short time. Data collection helps healthcare professionals to understand and learn cutting-edge techniques and trends. This data can be used for analytics and make predictions about possible epidemics and identify risk factors. Also, access to big data allows clinicians to recommend appropriate preventive steps more effectively and reduce deaths. 

Read more: 5 Ways Big Data is Changing the Healthcare Industry 

In addition to the collection of data, cloud storage of data ensures improved efficiency and accessibility with less wastage. This helps in research and development of new medical treatments and lifesaving formulations. Cloud storage is a secure and cost-effective solution with back-up and recovery features that are managed and maintained without additional server hardware. It is an invaluable advantage for medical research and analysis that helps in efficient health information exchange.

Read our case study: How a data analytics solution developed by Fingent enabled NHS to gain financial, clinical, and geographical insights and improved their visibility over KPIs. 

4. Information and Communication Technology (ICT)

Today, approximately 95% of Americans have a mobile phone and most of them use it to access information of some kind from the internet. Health technology also has reformed its processes to connect with people efficiently.

ICT has linked not just medical professionals but also with the patients.  From emails, telemedicine to smartphones and telemonitoring systems, all are used to share information. This is particularly useful for rural areas facing a dearth of facilities and/or specialists.

From diagnostic to management, ICT is improving constantly and streamlining how the healthcare industry functions and how patients are communicating with the care providers.

The new technology in healthcare allows care providers to compare health data of patients, identify risk factors, and recommend preventive measures. This has also given a boost to medical tourism helping many patients to seek consultations and second opinions from specialists practically from any part of the world. Patients can even virtually travel to another country to avail of specialized treatment or advanced surgery following remote communication such as video conferencing. 

5. Improved Patient Care

Technology in healthcare has provided the healthcare community with advanced tools to improve patient care. Using EHRs, physicians can easily access the complete medical histories of a patient and make an informed decision. Physicians can even use apps to identify possible medication errors and help a patient’s safety.

Virtual Reality (VR) devices and apps help ease symptoms of anxiety and depression in older people and those suffering from mental illness. Augmented Reality (AR) also helps surgeons to perform complex surgeries. Both virtual reality as well as augmented reality devices can help improve health and fitness among patients. Some examples like robotic knee replacement and gene therapy in cancer treatment prove that technology in healthcare will only grow exponentially in near future.

Read more: Is Mixed Reality the Future of the Healthcare Industry? 

Radio-frequency identification (RFID) technology has improved patient care by providing information about a patient’s crucial signs and temperature. RFID facilitates real-time tracking of location, identification, and communication.

In addition to VR, AR, and RFID, 3D printing is used to create prosthetics, hearing aids, and even customized dental devices.

6. Health Apps

Advanced technology in healthcare has resulted in the development of several health apps. This enables patients to have access to quick and accurate medical information using their smartphones. Patients can use these apps to keep track of medical appointments, receive reminders, and even access to test results easily. Health apps help people get healthier by offering customized solutions and track their food intake and activity levels.

Physicians can use these apps to access drug information to prevent side effects, solve any issues, and improve diagnosis. Physicians can communicate with their patients directly, record their vital signs, maintain logs about consultation and visits, and achieve better procedural efficiency. 

Read more: 5 Essentials to an Effective Healthcare Application 

7. Telemedicine

Telemedicine allows patients to consult with a specialist anywhere in the world. This new technology in healthcare facilitates critical care in emergencies, potentially saving lives. Telemedicine helps patients to use telemedical devices to receive home care and support via apps and video calls. Telemedicine makes it possible to transmit biosignal, medical images, and other crucial information to a specialist through asynchronous consultation. It means, neither the doctor nor the patient has to be present or online at the same time. This can significantly reduce the waiting time for patients and help improve delivery processes.

Healthcare professionals can monitor patients remotely via telemedicine. This can help manage chronic conditions effectively. Real-time interactions such as video conferencing can help with diagnosis, management, counseling, and patient monitoring.

Read more: Find how Fingent’s healthcare technology solution helped improve collaboration between doctors, patients, and patient caregivers 

Conclusion

To sum up, it can be said that technology has revolutionized healthcare and is expected to continue in the years to come. While developed nations have been able to harness health technology more efficiently, developing nations are not lagging. Today, more and more health providers are realizing the untapped potential of technology and leveraging it to streamline processes. There’s no denying that healthcare and technology go hand in hand and professionals will have to make the required changes and investments to improve the quality of healthcare.

We’re working with healthcare providers, medical analysts, life sciences experts, medical equipment suppliers, device manufacturers, and a host of players in the healthcare ecosystem to enhance their experience w.r.t. managing patient relations, delivering superior care, streamline treatment procedures and benefit from the rapidly growing medical data. 

Talk to an expert right away and get to know how we can help your business take the next step quickly and comfortably. 

Identifying 7 Common Mistakes in Tech Projects

As a non-tech business, you are an expert on the product or service that you are selling. That is your core competency, not information technology. Still, some businesses feel they can do it themselves. That could cost you a lot more than you think. Technology by nature is like a moving target and pinning the best technology solution requires quite a bit of work. Treating tech projects as an afterthought is a mistake that non-tech businesses make far too often. Worse yet, those mistakes can stall the growth of your business. Avoiding tech mistakes, especially the high impact ones, will be the thing that ensures the success of your business. 

What are the 7 deadly mistakes non-tech businesses make on tech projects and how you can avoid committing those mistakes? This article will help your company navigate the complex and confusing world of technology. 

Mistake #1. Skimping on Security

Most small businesses might conclude that their business isn’t that big to become a target for hacks and data theft. Unfortunately, security has become the number one issue even for small businesses with increased online scams, software vulnerabilities, and networks using improper architecture. Can you imagine the impact on your business if your trade secrets, customer information, HR records, and confidential communication fell into the wrong hands!

One of the top security risks most businesses often ignore is the failure to encrypt their emails. Some discard email encryption either because it is costly and complicated, or because they feel that the threat is insignificant. You can prevent much pain and loss by encrypting your emails. Always assume that every email you send could be intercepted by unethical hackers. 

Try this: Set up an email encryption system to protect all your emails and their attachments.

Read more: Emerging Security Technologies To Consider For Your Organization

Mistake #2. Patching New Software On Old Hardware

Most often than not software publishers release new upgrades that require a significant hardware upgrade in order to run the newer version. Many businesses purchase the latest version of the software without considering its hardware requirements. The use of old computers and their hardware can be problematic since these devices generally lack the latest features, hang too often, and are slower at common tasks like launching the application, booting up, printing, and internet search. This can result in a failed upgrade and can bring your business to a screeching halt until new hardware can be put in place or until the old version is reinstalled.

Try this: Before you purchase an upgraded software, check the minimum system requirements needed for the software to run smoothly and ensure that your existing system meets those standards. 

Read more: Tips for choosing the right Business Software – Tools vs. Solutions 

Mistake #3. Skipping The Planning Phase 

Planning for IT may seem tedious and time-consuming especially when you have so many things to get done with the running of your main business. However, it is vital that every business, big or small, must plan out their IT initiatives at least once a year. Failing to map-out your technology path can impact your entire business. You must plan your budget for new software and hardware upgrades while considering the need for additional manpower and/or technical support. Planning ahead will ensure business continuity and will spare you from unanticipated problems and setbacks when something fails.

Try this: Decide on a particular month of the year for taking stock and planning your IT structure and requirements.

Read more: Plan Less and Learn Faster Through Lean Business Planning 

Mistake #4. Inadequately Trained Employees

Some of your employees may understand technology, perhaps because they had some experience with it formerly or just because they are tech geeks. This is by no means enough to put them on the job to handle tech requirements. One of the most common mistakes that many non-tech companies commit is to try to get the job done with employees who are not adequately trained to use the technology they have at work. There is no alternative to training, it is an absolute must for business growth! Forgoing on the training of employees may render well-intentioned purchases useless and result in a massive loss of ROI. By training your employees you can lessen the likelihood of mistakes and improve overall productivity.

Try this: Take the “train the trainer” approach with your software provider. It is cost-effective and helpful.

Mistake #5. Ignoring Reliable Backup And Disaster Recovery

Businesses today are reliant on their records and data, which are almost completely stored electronically. It is extremely dangerous to assume that your backup system is working properly. A sudden power outage or a server crash can delete all your data within seconds increasing your downtime and the expenses that accompany it. It is a good practice to back up a test directory, erase it, and then do a test restore to ensure that your backup device is working. Also, ensure that the proper data is backed up.

Try this: Have a right backup solution and disaster recovery procedure in place.

Read more: COVID-19- Ensuring Continuity and Building Resilience- How business leaders can respond, survive, and thrive in the new normal 

Mistake #6. Not Leveraging Cloud Computing

Most businesses either embrace cloud inconsistently or treat it as an unnecessary expenditure for their tech projects. Cloud computing has emerged as the most efficient platform for businesses than on-premise counterparts. This is because it makes it possible for employees, customers, and other authorized users to access the data at any time from any place. In most cases, cloud-based applications offer greater functionality and are less expensive. Cloud computing is more secure than an in-house computer operation that may lack proper antivirus solutions, firewalls, or backup systems. 

Try this: Prepare a cloud strategy and as soon as possible, consider moving some of your applications and data to the cloud.

Read more: Cloud Migration: Essentials to Know Before You Jump on the Bandwagon

Mistake #7. Ignoring Preventive Maintenance

The most common mistake made by businesses on tech projects is the “repair when it crashes” strategy for IT infrastructure. While it may not hurt too much on some issues, can you imagine your 10-year-old server crashing! Now that could cripple your business. If your mission-critical hardware crosses its shelf life as it were, it is time to consider replacing it well before it actually crashes. Just like your automobile, IT software and hardware require regular maintenance and adjustments. Both the software and servers need continued care to perform at optimal levels. 

Try this: Avoid overextending the life cycle of servers. Start planning to replace it well in advance. Look for the manufacturer’s instructions on MTBF (mean time between failures) for your equipment.

Read more: Why Get a Maintenance Contract With Your Software Solution Provider? 

Don’t Make a Costly Mistake

As a business, you are constantly juggling multiple roles and duties to ensure that everything runs smoothly. Too often, the panic call comes after a technology mistake has been done already. It is crucial to remember that a single mistake could lead to catastrophic loss of data that your business may never recover from. Don’t take chances with your business. Get our experts to help you make those tech decisions and implement them smoothly. Give us a call and let’s get talking. 

The Growing Application of AI in Insurance Leads to a Radical Transformation

• Introduction
• Why does the insurance industry require AI now?
• What are the benefits of AI in the insurance industry?
• Top 3 primary use cases for AI in the insurance industry
• Must-have AI technologies for the insurance industry
• Are you ready to ride on the wave of AI?

Analytics in Sports: Redefining the Tactics of Winning Games with Statistical Data 

Sports used to be simple. Play the game and compete to win. Entertainment value aside, athletes and teams would target to compete better than the others in order to win competitions, to get those points on the board, and get their hands on the prize. The bonus- fame, money, and fans! 

When it came to improving abilities, athletes and sportspersons trained hard, worked on their fitness and skills in order to reciprocate that out on the field of play. Coaches monitored, advised, and mentored them enabling the players to get better and fitter so that they could outperform their opponents. Fans followed their beloved teams and stars through various forms of media all the way from print to electronic. 

When it comes to gaining a competitive edge today, training and working hard are not enough. An athlete or a sportsperson needs to know more about specific areas they need to improve, how they can maximize their strengths and minimize their weaknesses, how they can target the competition among many other areas. The necessity to identify those minute yet significant attributes and generate new metrics and key performance indicators has prompted data analytics to make its foray into sports.

Discover the applications and dimesions of sports software with Fingent. We provide Custom software and analytics solutions for the sports industry to keep track of athletic performance, to create engaging fan experiences, and with the power of analytics assist your coaching staffs with better statistics.

Analytics – The New Player

Analytics has completely disrupted the way organizations go about with their businesses by using the one commodity that globally, every industry, or every business across every domain generates: Data! 

Data is what runs the show today. And it is analytics that has changed the world by using this data in infinitely creative ways to provide individuals, groups, or organizations with insight into what the data means, what information can be obtained from this data and how can this information be used to deliver positive outcomes. 

Read more: How Cognitive Computing is Revolutionizing the World of Sports

What does Analytics do?

Analytics identifies this data and gathers it into a common ground so that it can be structured into information. And this information generates insights that drive business decisions. Business decisions power growth and growth defines success. 

Simply speaking, analytics is a linear trajectory that empowers an individual or organization to transform itself. Analytics can be thought of as not only identifying and interpreting data but also the application of data patterns and various techniques that help in effective decision-making. Decision-makers use this information to identify past trends and make informed decisions that can have future business implications. 

Consider the thought – ‘If only three out of five routes were being used by commuters to travel from New York to Boston yesterday, then improving the other two and adding two more routes could reduce travel time by 25% within the next 5 years assuming the rate of growth of traffic on the road stays constant at 15% annually’.  

Analytics has changed the way we ask questions. The above example is meant to be some of the simpler scenarios of insight that one may gain using data analytics. The richness of data harnessed the power to make informed decisions. That is what analytics does. 

And now, the Sports industry has a new best friend.

Analytics and Sports

While the theory of sports analytics and the study of performance statistics might have been around since the 1980s, it was hugely popularized by Billy Beane – General Manager of the American baseball team the Oakland Athletics during the late 90s and early 2000s. Some of you might be familiar with the movie or the book Moneyball. Moneyball was inspired by Billy Beane’s study of Sabermetrics or the empirical analysis of baseball statistics that measure in-game activity.  Beane implemented methods to identify key performance indicators of players that would collectively bring in an improvement on his team’s performance in the long run. Using this approach, he built a competitive team that, despite having one of the lowest operating budgets out of over 30 teams in professional American baseball, consistently managed to produce performances placing them in the top five to ten teams in their league.

Global sports analysts and industry experts have remarked that the sports analytics industry is potentially expecting to reach a value of $5.2 billion dollars by 2024. Not bad for an industry that had a market value of around $125 million just about a decade ago.

Analytical approaches, however, are different when it comes to different sports. For example, baseball and cricket generate a majority of their data points during one to one interactions between players on the pitch, such as a pitcher pitching to a batter or a batsman hitting the ball towards a specific fielder. The approach used here could not be implemented in a game like Football (Soccer) or Basketball where multiple players are interacting with each other simultaneously with interactions becoming more attached among themselves if the ball happens to be closer to them.

There is no hard and fast rule when it comes to what techniques can be applied and that is where the beauty and challenges lie when it comes to applying analytics to sports. 

Key areas in Sports that Implement Data Analytics Techniques

Here are some key areas in sports that implement data analytics techniques as sports organizations look to maximize performance and revenue.

1. Performance Tracking and Analysis

The seemingly minute margins are what make the difference between winning and losing. This is where analytics has helped athletes and teams improve themselves both physically and mentally. 

Gone are the questions such as ‘How many goals did we score?’ or ‘How many assists does Player A have?’. Today the questions asked are more along the lines of ‘Player A has a pass percentage of 95.6 from which 47% of those passes were 15-yard passes. 34.5% of these 15-yard passes were forward passed. What percentage of those passes created a goal-scoring opportunity for our forward?’ 

or 

‘Player B has made 4.5 interceptions per game over the last 25 matches out of which 80% of them happened in the middle third section of the pitch. If we can have player A close to B during these interceptions, A could then pick up the ball and make a 15-yard pass to quickly release our forwards, could he not? This ideally means that we should pair players A and B closer together in our matches.’

Once again, the examples mentioned above are some of the less complex questions that are asked with respect to utilizing analytics across sports teams. And it only gets more interesting from there.

2. Monitor and improve performance

Giving coaches and managers data ranging from the distance covered, area coverage maps, heartbeat rates to passing percentages, shot classification, positioning data, and much more allows them to analyze in great depth. Devices such as fitness bands and video cameras coupled with custom algorithms enable the recording of such data which is presented to the coaches and managers as part of a massive statistical datasheet. This gives them the flexibility to identify key statistics and use them to plan training patterns and routines.

Coaches can use this data to tailor specific training programs for their teams and individual athletes that can help them improve on key performance areas relevant to their playing style. On another front, the data can also be used to identify key improvement areas so that specific drills and exercise routines can be implemented to develop on them. Or, this data can be used to target specific weaknesses of rival players so that the team can exploit them to gain a tactical advantage.

3. Fan Engagement

The last couple of decades saw technology and digitization invading the sports industry in a way that nobody could even think of 20 to 30 years back. With smartphones and mobile apps getting so popular today, sports teams and organizations are utilizing technology to engage with their fans to provide better customer experiences, gradually increasing the marketability of sports.

Sports franchises have used mobile apps coupled with analytics to improve the experiences of match-going fans. Fans can be rewarded with discounts, ticketing offers, merchandise offers, VIP seats, or player engagement opportunities based on their attendance, seat preferences, snack preferences, and more. Fans also stream matches online today. With applications utilizing basic information to identify fan demographics such as age, location, and teams they support, sports clubs and franchises have found ways to offer personalized packages to fans that enhance their user experience. 

Television and digital media are used as platforms where fans can interact not only with each other but also their players, club officials, sports pundits, and analysts as they come together to exchange ideas, opinions, and to network. Having team and player performance statistics available for visualization to the everyday fan brings out the analyst in them as well, giving them the sense of being more involved with their favorite sport, team, and heroes on the pitch – a sense of ownership if you will.

Read our case study: Legends Personal Training 3.0 – How Fingent developed a fitness regimen app for a select group of personal trainers and health professionals in Wimbledon and Kingston.

How Analytics Boosts Revenue Generation in Sports

Generating revenue is undoubtedly one of the most important aspects of running a business. This applies to sports companies too – be it running a sporting franchise, a team, or a league.

Some of the common avenues that sports teams explore include television deals for broadcasting games, ticketing for stadiums, corporate sponsorships, merchandising, and of course, player trades or transfers.

Examples of how analytics contributes to sports revenue:

• Analysts could identify leagues with potential based on past victories, player potential to attract crowds. For example, leagues, where teams have larger stadiums, would be prime candidates to earn more money through ticket sales. 
• Using data, sports teams can identify the fans who attended the games, made in-stadium purchases, and the movements within the premises. This information could be pivotal for the corporate personnel as it would enable them to have a greater focus on sponsor targeting and engagement both within the stadium and outside.
• Merchandising is a key component of a sports team’s revenue-generating model. Using fan information from ticketing, fan engagement events, or even previous purchases at the club’s stores, the decision-makers could identify potential other locations to expand their reach – enabling fans to buy merchandise of their team far easier.
• Player Transfers – There are various examples of transfer fees paid by a buying club to the selling club in order to facilitate a purchase for the services of a player. How would analytics play a role in this? There are many factors that determine the ‘value’ of a player – such as his/her current form, age of the player, the relative proximity of the player’s ability in terms of current ability and peak potential, marketability of the player, and various other factors. Analysts work out algorithms using a variety of these parameters to determine optimal market values which are then used as a starting point for any player trade or sales.

Read more: iBeacon Technology in Sports and Other Industries

The Potential of Analytics in Sports

The potential of analytics in sports is enormous. Though the sports industry has debuted analytics only lately, industry experts are trying to dive deeper into the implementation of data-driven decision making. Looking at the rising number of use cases and business benefits, it’s no surprise to say that the future of professional sports lies in the hands of sports analytics. 

Fingent offers a wide array of custom software and analytics solutions for sports organizations that help them manage their basic to the most complex challenges. Get in touch with us to learn more. 

Top Digital Alternatives to Go Paperless and Survive the Recession!

• Introduction
• Document Management Software
• Electronic Invoicing System
• Digital Signature
• Remote Work Collaboration Software
• Virtual Hiring and On-boarding
• Workflow Automation
• Mobile Payments
• Choosing the Best Way to Implement Paperless Initiatives

Robotics in Logistics: Dawn of a New Era

Since the advent of e-commerce, getting goods to the customer’s door or stores from the factories or warehouses has become a mammoth task for logistics companies. Forecasts say that “worldwide warehousing and logistics robot unit shipments will increase to an estimated 620,000 units annually by 2021.” The solution for this herculean task of transporting goods far and wide thus becomes apparent: the dawn of robotics in logistics. The use of robotics in logistics offers far greater levels of uptime over manual labor, bolstering productivity in a vast array of professional environments. 

Retail giants like Amazon and Walmart that have already deployed robots in their warehouses and fulfillment centers will only expand their deployments, especially in the wake of current situations. Leveraging robotics in logistics cuts around 70% of warehouse labor costs and helps businesses function day and night with minimal costs. Want to find out how? This post will help you understand the importance of utilizing warehouse robotics in the supply chain.

A Surge in Warehouse Robotics in Supply Chain

The first robot in the supply chain was capable of moving material about a dozen feet. For several years, robots were used only in industrial manufacturing because it was not safe for people to be around them. However, over the last few decades, innovative logistic robotic companies have worked hard to mesh AI and machine learning, better sensors and response capabilities, warehouse management software or logistics management software. 

Recently, warehouse robotics in the supply chain has picked up pace exponentially. There has been huge funding and investment in the industry. For example, Alibaba invested $15 billion into robotic logistics infrastructure and Google invested $500 million into automated logistics for JD. It is also estimated that the global market for warehouse robotics in the supply chain is projected to reach a market value of $22.4 billion by the end of 2021.

Evidently, the dawn of robotic logistics is right here now!

Read More: How Robotic Process Automation Is Revolutionizing Industries?

What is Robotic Logistics?

The logistics industry is what is holding our modern world together. It includes a huge amount of different processes. Ordering, transportation, warehousing, picking, packing, delivery, inventory, and routing are just a few of those processes. 

So, robotic logistics means the application of robotics to one or more of these processes. A few common robotic applications are robotic palletizing, robotic packaging, robotic picking commonly used in warehousing or any other logistics software solutions. 

So, what kind of robots could be useful for your warehouse?

Warehouse Robotics in Supply Chain

1. Autonomous Mobile Robots (AMR)

AMRs use sophisticated sensor technology to deliver inventory all over the warehouse. They do not require a set track between locations. They can understand and interpret their environment through the use of maps, computers, and onboard sensors.

These warehouse robots are small and nimble with the ability to identify the information on each package and sort it with impeccable accuracy. They cut down on the redundant manual process which is prone to human error. 

2. Aerial Drones

Aerial drones aid in optimizing warehouse inventory processes. They can quickly scan locations for automated inventory. They can scan inventory much faster than a human can and send an accurate count immediately to your warehouse inventory management software.  

These drones do not need markers or lasers to guide them. They don’t take up valuable space in your warehouse. They can travel quickly and assist in hard-to-reach areas. 

3. Automated Guided Vehicles 

Automated guided vehicles and carts (AGVs and AGCs) transport inventory around your warehouse following a track laid in your warehouse. These warehouse robots are perfect for larger warehouses because it reduces the time spent by workers just moving from one area to the next. 

4. Automated Storage and Retrieval System (AS and RS)

Automated Storage and Retrieval Systems are robot-aided systems that can place or retrieve loads from set storage locations. AS and RS differ depending on the system needed, the type of task, or the goods that they will be working with. They can be programmed to work as a craft that moves and works on a well-defined path or a crane that retrieves goods between aisles. There are also aisle climbing robots that retrieve customer orders. 

These free up the time of workers who can then concentrate on more complicated processes such as packing and posting the goods. 

Read more: What Are Cobots and How Can They Benefit Industries?

What is Driving the Need for Collaborative Robots in Logistics?

Although there has been a boom in logistic robotics, there are two specific factors that are driving the current need for collaborative robots in logistics. 

• The growth of e-commerce: When products are directly shipped to customers, there is a huge variety of different packing requirements. 
• The lack of available workforce: Shortage of skilled workers can affect logistics.

What are the Benefits of Adopting Robotic Logistics? 

The logistics industry can see many tangible and clear benefits of adopting robotic logistics. 

• By reducing human errors, robotic logistics can bring in significant profits and can also reduce warehouse costs. 
• Robotics can allow for workforce adaptability. 
• Robotic logistics improve safety for workers by taking over dangerous jobs such as getting items from high racks or storage spaces.
• Reduced human error and increased delivery speed brought about by robotic automation will increase customer satisfaction. 

Read more:  Open source robotics process automation

Enjoy the Freedom To Do More

Robots are being used rather extensively in logistics. Due to the complexity of supply chain processes robots will be increasingly used for dull, dirty, and dangerous tasks freeing your workers for more complex tasks. This means cost-effective, fast, and error-free operations. If you want this for your business, get in touch with us immediately and let us fix your business up with robot power.

5G and the World of Work – An Overview

• COVID-19 to act as a Catalyst
• Remote Work: Story so far & Roadblocks
• 5G to the Rescue
• Impact on Video Conferences
• Impact on AR and VR
• Improved VR Training with 5G
• Improved AR Training with 5G
• Other ways in which day-to-day work will be different with 5G
• Real-world example
• Security and other concerns for 5G

Empowering CFOs to Derive Crucial Insights and Implement Strategic Decisions with Confidence 

The role of the CFO is no longer restricted to fulfilling traditional financial duties. With advances in technology, the CFO’s responsibilities are also growing as today’s CEOs and boards demand the finance function provide real-time, data-enabled decision support. The present-day CFOs and their teams serve as gatekeepers to critical data that is required to generate forecasts and support business leaders to make strategic decisions that have a lasting impact. 

With that said, what are the challenging areas for CFOs where they can perform better with the integration of the right technology? We’ve tried to list out a few here.

Key Challenges Faced by CFOs

1. Insights

• Acquiring self-service analytical capabilities to garner strategic and operational insights for reliably enabling key decisions and enhancing visibility through the board-room to the shop floor. 
• Addressing big data requirements is another challenge. Embedded data analytics that connects transaction executions with immediate insights and analyses is a must-have weapon in the CFO’s armor. With automatic matching capabilities, finance professionals can reduce the time taken to gather data.      
• Predictive insights are essential to assess future outcomes. CFOs equipped with predictive analytics capabilities empower organizations through powerful budgeting, planning, and forecasting that will drive the business on the right path. 

2. Ensure agility to respond, adapt and survive

• It’s always at the top of a CFO’s agenda to optimize risk management and establish a sustainable cost-effective control environment. A sustainable compliance program (compliance-first approach) can free up to 30% of the function’s capacity while keeping the risks low. 
• Structure finance to make the most of tight budgets and provide financial support for corporate initiatives by ensuring discretionary expense management and operational costing optimization.
• Increasing adoption of “Shared Services model” (service delivery models under centralized and decentralized structures) for enterprise operations allows businesses to expand to several domains, customers, products, geographies, and channels. For CFOs, this translates to more challenges w.r.t. strategic pricing, customer and product profitability modeling, and profitable growth target setting. CFOs also need to cater to multiple businesses and stakeholders while supporting all the current and evolving business models.  
• Embedded localization requirements to best-balance the risk and efficiency and implement best practices supporting operations across segments, industries, and geographies.
• Flexible deployment models allowing the optimal combination of cloud and on-premise solutions.

3. Optimize costs, digitize finance, and other functions

• CFO and other finance professionals are expected to offer more value-add solutions that provide strategic direction for the enterprise. Automation of repetitive, rule-based finance functions enables CFOs and financial professionals to focus more strategically.  
• CFOs need to gain improved visibility across all cost components that allow them to take quick actions such as cutting unwanted costs and justifying new costs in a tangible way. 
• Integrate and unify all corporate processes allowing for a higher level of standardization. This can only be achieved with an intelligent enterprise technology like SAP S/4HANA. 

Why is SAP S/4 HANA ideal for CFOs?

Traditional ERP systems store data in many different tables. As a result, financial teams struggle with isolated and inconsistent information from many sources. They end up spending hours sifting through data and compiling reports manually. Despite this, they are unable to provide the desired financial insights. On the other hand, SAP S/4 HANA stores all financial information in a single Universal Journal. It is a powerful concept that eliminates redundancy and creates a single source of truth. This gives you easy access to accurate, timely, and qualitative information. Your business processes become transparent and reliable. 

The broad portfolio of new technologies and innovations in SAP S/4 HANA Finance empowers CFOs with responsive decision-making tools. These tools give you instant insights into all the company’s data and systems. You can perform end-to-end analyses right from the boardroom to the shop floor. 

Read more: How SAP S/4HANA transforms the end-to-end business process

(Click to enlarge the image)                            Source: SAP

Embedded Analytics

Organizations using ERP systems have always found that while it’s easy to enter data into the system, getting interesting information from it is tedious. SAP S/4 HANA Finance enables direct reporting without the need for a data warehouse for specific analytic requirements. This is possible because of the Universal Journal. However, this alone does not deliver the right insights. This is where Embedded Analytics in S/4 HANA comes in. 

Embedded Analytics allows not only the intuitive navigation through graphical views but also the close integration of analysis capabilities within the operational transactions. This makes it easy to act directly on the right information without having to switch between screens or systems. It has business planning, consolidation, and forecasting capabilities which can help you gain new insights from different perspectives. 

The embedded analytics in S/4 HANA is also helpful to determine the best course of action when unprecedented disruptions occur. Thus, the role of the Office of Finance transforms from mere historical reporting to analyzing business performance.

Read our case study: Find out how Fingent automated integration between SAP SuccessFactors and SAP S/4HANA

Predictive Capabilities

Organizations need accurate financial insights to steer their business in the best path. In the past, decision-makers requested information through month-end reporting. That practice is long gone. Today, continuous delivery of relevant information is the minimum requirement. More insights are requested on what the future would bring. This is where Predictive Accounting can help. 

For example, when a sales order is confirmed in the system, it is not recorded in accounting until you deliver the goods and send an invoice. With Predictive functionality based on the sales order, a predictive invoice is registered. When the actual invoice is sent out, the predictive posting is back-posted, reducing the predicted amounts. This predictive accounting logic can help you simulate financial postings based on the confirmed incoming sales orders. You end up getting an accurate and futuristic view on your margin.      

Read more: How SAP Helps Manage Your Payroll During COVID-19 Crisis

Transforming Finance into an Intelligent Portfolio

The S/4 HANA digital core offers predictive analytics combined with machine learning across various lines of businesses (LoBs). SAP Cash Application is the first Lighthouse application that is based on SAP Leonardo Machine Learning. It analyzes the customer’s historical data, learns which matching criteria are important, how to prioritize them, and how to best apply them using machine learning. This helps to intelligently match payments to open receivables and automatically clear those items minimizing manual effort. Thus, we process cash faster, improving the days of sales outstanding. 

Read more: Unlock the Potential of Intelligent Enterprise with SAP Leonardo

In other words, finance teams can scale as the business grows and save time to focus on strategic business tasks like growth and planning. The machine learning application is cloud-based and non-disruptive to the system-of-record. As it is tightly integrated with SAP S/4HANA, you can easily adapt innovations without having to resort to costly and time-consuming IT projects or any risky activities in your back-end system.  

(Click to enlarge the image)                         Source: SAP

Take Your Next Step with Fingent

SAP S/4 HANA supports CFOs by using business processes that are already available within the S/4 HANA environment. As CFOs grapple with new disruptive business models, SAP S/4 HANA Finance can help them in their decision-making process at a tactical and strategic level. Leveraging these technologies can enhance the organization’s ability to pivot quickly and adapt to dynamic business scenarios. 

Making this big leap is definitely challenging, but Fingent’s extensive knowledge and expertise on SAP S/4 HANA Finance can get you going. Connect with our SAP expert to learn more.

A Head-to-head Comparison of Odoo CRM vs. Salesforce

The race for business success is tough. Mimicking your competitors in what is working for them might seem like a good idea, but it will get you nowhere in the long run. Success comes only when you find that perfect recipe that is unique to your organization and gets you a notch above everyone else. This is particularly true when it comes to your CRM software. You must choose the right software that fits your sales teams’ unique and complex needs perfectly.

The quest for that perfect CRM software requires analyzing various crucial factors. Making the right choice can radically impact the effectiveness of your daily operations and boost the productivity of your sales team. The factors you need to consider are vendor reliability, real total implementation cost, pros and cons, full list of features, and user reviews. In this article, we provide a comparison of Odoo CRM and Salesforce CRM against six key criteria. We hope this helps you in making an informed decision. 

Read more: Odoo CRM Vs SAP CRM: How to Choose Between Them

What is the Difference?

Salesforce is often described as “the world’s #1 CRM sales app.” It claims to put everything you need at your fingertips – accessible from anywhere.  It makes collaboration across your global organization easier and gets your deals done faster.

Odoo, on the other hand, is often described as “the open-source ERP and CRM.” It is a business management software that includes CRM, e-commerce, accounting, billing, warehouse, manufacturing, project management, and inventory management. 

So, here we’re comparing these two popular CRMs against these 6 criteria:

1. Marketing automation comparison  

One of the proven strategies to generate sales by any enterprise around the globe is being able to send messages to customers at exactly the right time. In this regard, both Odoo and Salesforce have great marketing automation features. 

• Salesforce allows you to send a customized email to your customer through web personalization. 
• Odoo kicks it up a notch, allowing you to design an entire workflow for your enterprise. You can automate your action depending on the customer’s reaction to your email which might include replying to your email or deleting it. 

2. Cost comparison 

The actual cost of CRM software includes the subscription fee, software license, software training, and customization cost, hardware, and the cost of other services such as support and maintenance. It is crucial that you account for all the costs involved to understand the system’s “total cost of ownership.” 

• Salesforce CRM starts at $25 per user/month. They also offer a yearly plan. Apart from this, you will have to make additional payments for integrations that you will add to your software. 
• Odoo CRM too starts at $25 per user/month but offers a free plan which is helpful for startup companies. Although integrating paid apps incurs charges, the Odoo Community Edition is free. 

3. Integration comparison

Your software serviceability requires powerful integrations.

• Salesforce can integrate with a variety of apps making it suitable for all businesses. 
• Being an open-source software Odoo provides free apps that can be integrated into any kind of business. 

4. Contact management comparison

One of the key capabilities that businesses require is the ability to view and manage contacts. 

• Since Salesforce is a cloud-based CRM, it can obtain certain missing details of your contacts from other sources in the cloud. Also, it can analyze the interactions between the contacts over various social media platforms which can be a great help to your business in generating leads. 
• Odoo gives you complete access to the history of business interactions for each customer. This allows you to adjust your business strategies according to the purchasing habits of your customers. You can also synchronize Odoo with your Google Calendar so you can keep track of your meetings and additional follow-ups.

5. Dashboards and reports comparison

While dashboards assist you in presenting and viewing your business performance, reports help you audit sales and gauge work performance. Dashboards and reports help you make smart business decisions.

• Salesforce allows you to build a customized dashboard according to your business requirements. 
• Odoo offers free apps to create customized dashboards allowing you to create a variety of reports, balance sheets, tax reports, and bank reconciliation.

6. Vendor comparison 

• Salesforce is a global software company best known for its cloud-based CRM. In 2012, Fortune ranked Salesforce 27 in its 100 best companies to work for.  It was also listed in the New York Stock Exchange. 
• The Odoo community has 1,500 active members and has contributed over 4,500 modules. It has a network of certified partners established in over 100 countries. Odoo is one of the most frequently installed business suites with more than 1,500 downloads per day. 

Read more: A 3-day Odoo CRM implementation story!

Make An Informed Decision

While taking a decision, remember to compare the features of Salesforce and Odoo through the lens of usability, flexibility, and the unique needs of your employees and business. The highly modular and customizable solution provided by Odoo CRM is designed specifically for cost-effective and high-performance scalability and growth. 

Although Odoo is newer to the market when compared to Salesforce, this open-source CRM is used by certain popular names such as Hyundai, Toyota, and Alta Motors. There is no denying that Odoo has gained the trust of many users and is highly coveted by businesses of all sizes including SMEs/ SMBs. 

Read more: Meeting the HR Requirements With Odoo

Fingent is an Official Partner of Odoo and has hands-on expertise in the consulting, implementation, and customization of Odoo for clients across several industries. If you need further help in making your decision or want to get started with Odoo, give us a call right away. 

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