The pharmaceutical industry is mostly a research dependent and data-dependent industry where artificial intelligence has become a one-size-fits-all solution that can be implemented in every process of the pharmaceutical industry. Most of the pharmaceutical industries these days are rapidly adopting artificial intelligence to efficiently automate their processes that can be useful in making data-driven decisions. With the help of automated algorithms in machine learning, pharmaceutical industries are using this technology to solve the set of tasks. The main aim of implementing this AI in the pharma industry is that it should find all the hidden patterns and collect insights from huge data sets that any human can find as laborious to do. The major domains that AI can be useful in are clinical trials, sales analytics, and marketing. Implementing ML could reduce the time spent on examining data, saving money and letting researchers focus on other issues. The potential application of AI in the pharmaceutical industry is limitless and it permits researchers to effectively collect and analyze data. The more data AI analyses the more it will enhance and this results in better accumulation of information. The major areas in which AI can be implemented for saving time and money are in the R&D and marketing. AI in Marketing: As pharma is a sales-driven industry, AI is a very useful tool for strategies and decisions regarding the market. The sale of a drug is mainly dependent on print, direct and digital marketing activities. AI implementation in marketing enables companies to find out more profitable marketing methods, sneak peek of customer journey and identification of marketing messages. AI also analyses data from past campaigns that help companies to invest in more accurate marketing strategies. The non-acceptance of AI by healthcare professionals and limitations in decision making can hamper the market growth. AI services and applications provide enhanced growth in the pharma market to gain a competitive advantage. AI in the R&D Process: The most powerful application of AI in clinical trials and implementation of AI reduces the number of clinical trials by 70%. As efficient and effectual R&D is crucial for the success of any pharmaceutical industry, AI implementation is very helpful. The process of drug development is very expensive and time taking with high risks and fewer success rates; AI provides an ultimate solution for this problem with digital transformation and controls skyrocketing R&D costs. Amplion, BioSymetrics, Causaly, etc are the start-up artificial intelligence companies that implement this technology in their R&D process. Other applications of AI in the Pharmaceutical industry are:
The market of AI in the bio pharma industry is anticipated to increase from the US $198.3 million in 2018 to the US $ 3.88 billion in 2025. AI service providers are now providing their services to pharmaceutical sectors to make critical business-level decisions by gathering insights from public and private customer's data. Thus AI with ML would certainly boost up medical diagnosis and help in understanding new diseases with high speed and accuracy.
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Many real estate companies are not known leaders for implementing new technologies like RPA in their business processes. Due to the potential and rule changing competition of RPA, real estate companies are now implementing this technology to overcome existing challenges. Adoption of RPA benefits real estate investors and developers all over the world. RPA can combine tons and tons of data in the real estate industry in a very effective manner thus driving investors towards success. RPA vendors helps investors make wiser business decisions and boosts the productivity of the workforce.
The real estate sector involves heavy manual processes that can be avoided by implementing RPA. RPA automates all the manual tasks, repetitive tasks, and rule-based processes. As programmed in the RPA code, bots can easily automate all the ERP systems, emails, internet pages and MS-excel sheets with high accuracy. It can also process financial and non-financial data in the real estate value chain. For instance, the accounting back office department within the real estate processes involves heavy manual tasks. All the tasks in this department are more repetitive and controlled processes. A huge amount of manual power is required to track all the generated invoices, credit applications, payments, etc. This consumes a lot of employee time to complete these complex tasks without errors. To avoid all these burdens, RPA comes into existence and has become a game-changer. RPA bots execute all these tasks and take control of all the manual tasks. Completion of these tasks has become a cakewalk for the bots and eventually saves time. Ways to get started RPA in Real Estate Industry: RPA implementation partners are now providing many opportunities for real estate to automate all their complex processes. The main areas where RPA could help real estate in performing their tasks more efficiently are: Month-End Tasks: There are some tasks in the organization that need to be performed every month which consumes enormous time. For instance, an employee who is working in this department needs to wait for pre-closure to be completed before creating journal entries. This is the process where RPA could potentially help. Accounts Receivable: Collecting all the monthly billable expenses and generating, authorizing and sending invoices for all those expenses is a very tough task that uses up many days in a month. Virtual bots reduce the dependency of humans in this task and complete with zero errors. Tasks in the accounting department: Every month the employees working in this department need to fill an electronic binder of spreadsheets with new dates and periods. This would take hours to perform this task and automating this task would free up time for the employees to focus on value-added decision making. Apart from this, some other processes which RPA could be the right fit are: Investor KYC Customer and vendor relation setup Property and entity setup Monitoring, management of portfolios and reporting Forecasting expenses and budgeting RPA companies would provide a better platform to get started with the robotics journey and identify all the activities which need to be automated. Real estate investors can contact any RPA vendors to implement RPA in their chain. All the processes like customer’s background check, property portfolios, planning applications, property control, and sales are performed by virtual bots. Thus Real Estate companies can attain the two-fold benefit of deploying their workforces to more important tasks and enhancing their business overall efficiency using RPA. Yes, they are!
As data becomes an asset more valued than ever, digital analytics companies make it possible for businesses to use it as a tool for the latter’s digital transformation. With more than 50% of world IT leaders (according to Gartner) planning to increase investment in data in 2020, the expectations from digital transformation services are obvious. And this is the reason why these services have taken the reins and are driving digital transformation of businesses. How Data Analytics Companies are Driving Digital Transformation As we tread along the curve that analytics is carving for businesses that are looking for digitalization, we bring to you three ways in which businesses are transforming. Leveraging Enterprise Data: It is amusing that today data is a buzzword and everyone wants data, but only a few know how to leverage this advantage called data. That is the job that digital transformation companies do for businesses though data analytics. These analytics are able to monitor the data that is being collected, consequently helping businesses to make sense out of it. As the state of affairs currently is, nearly half the businesses headed for digital transformation haven’t yet figured out the power of data analytics and hence that of digital transformation companies. The truth, however, is that modern data analytics are totally user-oriented. They not only offer easy integration with the existing IT infrastructure, but offer room for data strategies that better suit businesses as per their data requirements. Leveraging Analytics: Believe it or not but data is nothing without analytics implementation of a data. The market for data analytics has been projected to grow to 274.3 billion U.S. dollars by 2022 according to a market report from Statista. It’s rather safe to day that the importance of data analytics is only increasing. But why? As of 2019, you may have noticed so many businesses laying emphasis on paid marketing. Where do those decisions come from? They come from sound knowledge that comes from analytics. Digital transformation services can help you with analytics tools that let you measure the data from each and every customer: their journeys, their buying patterns, their preferences; and even for every process that data is being collected for. It is not for nothing that businesses are investing in data analytics. The eCommerce market especially, has a grand scope for analytics given the volatile nature of customers. Even the big corporates are now hiring digital transformation companies to digitize the hiring and firing processes. Collecting employee performance information and analyzing it for appraisals is a common sight now. Leveraging Analytics Trends: The best part about analytics is that it is futuristic in nature. With enough historical data predictive analytics tools can actually make almost accurate-to-the-hilt predictions about future trends, be it in eCommerce, human resources, finance, healthcare, insurance and any sector you can name for that matter. The ability of data analytics companies to peg trends for businesses translates into high return on investment, more often than not. All you have to do is trap the right data. If you are a startup, SMB or an enterprise that’s eager to explore the benefits of data analytics for your business, we can help you with a great introduction to it. All you need to do is connect. Vendors are helping business with a combination of AI, RPA solutions and digital automation, which acts as the foundation for intelligent automation. They have presented robotic process automation use cases which have showcased the potential of the technology. And this is the reason why RPA is becoming and increasingly popular technology among businesses.
So, I thought that I should go ahead and highlight the way vendors are using RPA solutions to push intelligent automation and help its clients get an edge over their competitors. RPA Solutions Offered by Vendors Enhancement of Existing Business Applications with Minimal Hindrance: Though many businesses are excited to get themselves equipped with AI-based technologies to enhance their digital transformation strategies, they find it difficult to digest the complexities of AI implementations. The thought which discourages a business to embrace intelligent automation is that it will impact its day-to-day operations. Due to interruption in business, productivity is reduced, thereby resulting in loss of revenue. However, businesses can integrate AI capabilities like machine learning, natural language processing, and sentiment analysis into existing processes without resulting in hindrance to the ongoing projects. This will not only allow businesses to carry out the business as usual but also exponentially improve it. Reduction in Human Errors and Boosting Employee Morale: The myth around the town is that AI will replace the role of humans at workplace and eventually lead to loss of human jobs. However, AI-based technologies provide an opportunity for humans to improve business value. RPA companies help employees to eliminate the repetitive, monotonous tasks. It gives them a window to focus on the tasks which are have a higher stake. As per the survey in the report of the Forbes' 2019 "Accelerating Business Value with Intelligent Automation", 92% of the 300 senior executives felt that intelligent automation and solutions from robotic process automation vendors have improved employee satisfaction level. Simplified Decision Making Using the Power of Data: “Who masters the data will rule the world” is the perfect quote for this case. By leveraging the right set of tools, the insights drawn by data can accelerate the decision-making process, enhance the customer experience, and improve risk detection and mitigation. Intelligent data processing and advanced analytics can be brought into the picture to extract better information, thereby generating better value. Even if the data is unstructured, AI can interpret it and convert that information into a bot-friendly format. Data can help businesses to make more informed, insightful, and strategic business decisions. No Threat to Security: The entry of new technology into an existing system can create the perception of increased risk to the current processes in the model. Security is the topmost parameter when it comes to managing corporate data. RPA technology can be used to deploy automation solutions without disturbing the underlying business model. This technology interacts with the system features and data rather than the APIs. RPA companies have put forth many other intelligent automation benefits apart from the one discussed above. An organization needs to have an in-depth understanding of AI, process automation, RPA solutions, and software robotics. A combination of these can do wonders. Are you looking to get an edge over your competitors? Allow us to help you to adapt your business to these technologies. Let’s connect. This is the era of big data. The finance industry requires huge piles of data to be created in the tabular reporting format. Business intelligence tools like data visualization came into existence to analyse and process huge volumes of data and provide them in graphical representation form. Data visualization tools use visual elements like graphs, maps and charts to analyse the data and to provide an easily accessible way to understand the data trends, patterns, and outliers in data. The main theme of data visualization is to distill huge datasets into visual graphs.
The best data visualization tools depict the underlying data patterns and relationships contained within the data. This kind of data representation not only uplifts finance's role in better decision making but also helps to communize data across the organization. Tackling the present market trends and market situation and predicting future trends are the key factors for every successful financial business. Data visualization has that efficiency in providing for all the needs of the finance sector and in turn, helps the organizations in taking important decisions with the help of visual graphs. Here are the ways the finance sector can benefit from data visualization: Better decision making: Data is the key to making business decisions in every organization. Implementation of data visualization tools permits companies to receive huge data sets of information regarding business conditions and operations. These tools analyse the data and represent them in charts, bar graphs, heat maps, and other graphical representations. These visuals help the manager to find the connection between the multidimensional sets of data to take productive decisions. New insights and hidden patterns visualization: Data in the text format can be visualized in the form of graphs, charts etc. with the help of data visualization tools. Data visualization companies are now offering the best visualization tools to assist the employees in data handling and interpreting analytical results. This enables companies to effectively visualizing the connection between business performances and working conditions. With the help of these opportunities, business executives can find the hidden patterns in the data quickly, recognize their glitches and take action to resolve them. Helps in understanding market trends: Any business must understand business trends. The financial sector is said to be the most data-intensive sector in the global economy. Banks have a vast amount of customer data that needs to be analysed. Data visualization analyses the data and provides insights regarding the marketing trends across multiple data sets, customer's behaviours efficiently. Business Intelligence consulting companies are now providing suitable data visualization tools to leverage the data sets to maximize customer's considerations and gain a competitive advantage. Eliminates data silos and promotes visualization skills: Data visualization tools allow companies to eliminate data silos and automatically visualize data in the form of graphs and charts. This helps the finance team to create their visuals so that they can easily understand the market trends. The financial sector is a business where the volumes of big data will grow, data visualization is more crucial. The better the data is visualized the more you recognize how to overcome business challenges. The logistics sector is one of the most flourishing sectors but has always lagged when it comes to the adoption of technology. Nevertheless, with the advent of latest technologies like Artificial Intelligence, Machine Learning, and Internet of Things, etc., it has embraced new technologies and has seen a major transformation. So, today, I’ll be talking about how AI solutions are transforming the logistics industry.
How are AI Solutions Transforming the Logistics Sector? Intelligent and Automated Warehousing: Initially, retail warehouses made decisions based on historical data. But AI solutions have helped to bring about automation in warehouses. This has led to improved warehouse productivity that will indirectly boost up the growth of the company. It has also decreased the indirect labor costs such as cost of hiring, training and other benefits of the employees. Apart from this, there has been considerable appreciation in the accuracy of orders processed and picked. The eCommerce giant Amazon is leveraging robots such as Kiva robots to pick up goods and distribute them to varied stations within the warehouse in no time. Believe it or not, it needs only 5 minutes to charge every hour. Smart Roads: Artificial intelligence companies have deployed AI for highways. Smart roads are highways that have sensors attached to them. Such sensors monitor the condition of the road and also sense the vehicles on them. These roads are connected to the internet. If there is a traffic jam or accident on the road, these sensors on the smart road will alert the driver about such conditions. This can prove to be extremely beneficial for transport-intensive businesses which spend maximum time on the road. Smart roads have the potential to improve traffic, enhance road safety, and maintain the infrastructure. Self-Driving Cars: Artificial intelligence services along with sensors, radars, and cameras have given cars the ability to see, think, learn, and analyze various driving scenarios. NVIDIA is in the process of developing microchips that can handle real-world road conditions. Google and Apple are using autonomous vehicles majorly for transporting employees inside their huge premises. With the complete elimination of the potential of accidents because of the malfunctioning of the self-driving software and/or hardware, self-driving cars can become a mainstream mode of transportation in times to come. Vehicle Telematics: Vehicle telematics is the process of monitoring the transport mediums like car, truck, ship, or heavy equipment with GPS and onboard diagnostics. Some of its applications include safety of the car, keeping a record of the speed of the car, providing roadside assistance and auto dialling the help center number when you are in an accident. The data collected via vehicle telematics is sent to a central repository for aggregation and analysis. Verizon is leveraging vehicle telematics to track vehicles in the field, improve fleet operations, enhance labor productivity, and boost safer driving methodologies. AI solutions are seriously ramping up the efficiency of the logistics industry. It is all set to revolutionize the world of logistics. This fact may come around as a buzz, or hype, or a cliché, but it is true. It is indeed high time for your firm to embrace AI intelligence in logistics sector. If you are up for it, we’d like to pave a path for you and make the transformation easy. In the strategic planning of any organization, Business Intelligence plays a very prominent role in this competitive world. Business Intelligence can be used in various levels in the organizations which include - performing quantitative analysis, measuring the progress in performance, data reporting and also sharing and identifying customer's needs and understanding their insights. BI provides a glimpse of the inner data of an organization.
BI tool refers to all the practices, technologies and applications in the organizations, collects and integrates business data and presents prognostic views of data. This helps business executives take data-driven decisions very quickly and drive their organization towards success. With Modern BI, companies can have a complete view of organization data in their hands and they can use this data to drive change, eradicate inefficiencies and swiftly adapt to market trends. To integrate and utilize BI completely, organizations require Business Intelligence services. This BI service helps organizations in providing a clear vision of their data to drive them towards cost savings, enhancing performances and improving agility. The main agenda of these Business Intelligence tools is to help organizations in understanding trends and provide insights into the company data so that it would become easy for them to take planned and tactical business decisions. SAP BI, MicroStrategy, Sisense, YellowFin, QlikSense, IBM Cognos Analytics, etc. are the various kinds of modern BI tools. These are very versatile and provide organizations with information regarding performance and customers' needs. Business Intelligence consulting companies with the help of the latest BI tools build a data visualization structure of an organization with ease and help them to uncover the hidden data visions in their dashboards. With the help of data analysis and data visualization, these services provide data insights by integrating large heaps of data. They implement a suitable algorithm that converts structured and unstructured data into pictures, charts, dashboards, scorecards and spreadsheets. Below are some ways by which BI tools can streamline the company's operations: Quick Decision making: Many business decisions need to be taken very quickly and precisely. At the click of a button, BI software provides all the insights regarding the health of the organizations. This is used not only for tackling KPI but also for estimating to avoid bottleneck situations in critical decision making like acquiring or hiring. Remove barriers for data access to employees: BI solutions remove barriers for data access for the employees. They do not require a dedicated team member to provide access to the data. BI provides self-service to the employees to access their required real-time data. This allows organizations to maximize the data at all levels and permits employees for their personal and professional growth. Provides enhanced customers insights: With the development of social media, customers can interact with businesses in many ways like emails, chat boards, calls, websites, and many others. Thus handling this huge amount of data has become very difficult for organizations. BI integrates all the data from multiple sources, processes the data and provides complete customer priorities overview. Real Impact on ROI: According to nuclear research, every organization can gain nearly $10.66 for every spent dollar on BI. BI provides organizations a clear view of the areas where they can cut costs. As BI provides the complete picture of the competitive companies, the behaviour of the customers and their interests, it is easy for the organizations to implement better marketing strategies. The present industrial landscape has a dire need for RPA solutions, especially those offered by Artificial Intelligence. These are becoming increasingly necessary to cope up with a fast-paced economy and ever-increasing challenges of the modern business. According to Forrester’s 2019 predictions, RPA and AI are emerging as the strategic combination in the corporate world.
This blog does the very job of making industries and businesses understand the practical application of artificial intelligence in RPA Solutions, that helps them get ahead of the curve. RPA Solutions by Artificial Intelligence Manufacturing Industry: RPA Solutions backed by artificial intelligence in the manufacturing industry have minimized the human effort as well as improved efficiency of the manufacturing system. It has made production decisions smarter and quicker. AI-based robots are configured to detect anomalies and are fed with appropriate solutions to resolve issues. Robots monitor each stage in the process. These robots provide data to the AI-based software, which helps in keeping a check on the count of inventory. This helps in managing the supply for the product. Apart from this, robots fasten the process in the production, packaging, and shipping of goods with minimal human intervention. Health-Care: The healthcare sector has witnessed inefficient processes and ascending medical costs. Artificial intelligence service providers are helping the healthcare sector with a much-needed modification. AI-powered RPA Solutions are bringing down the unnecessary hospital visits of the patients, thereby saving up to 20 percent time of the nurses. As per a survey by Accenture, workflow assistants have helped doctors free up as much as 17% time in their tight schedules. The top three applications of AI-enabled robots are robot-assisted surgery, virtual nursing assistants, and administrative workflow assistance. As time progresses, these applications will gain more experience, thereby enhancing their abilities and use cases. This will lead to an appreciation in efficiency, output, and precision. Finance: The prime factors that are essential in the working of the finance industry are accuracy, real-time reporting, and churning of massive amounts of data to make decisions. Fortunately, artificial intelligence excels in all these virtues. Fintech firms are leveraging RPA solutions via robo-advisors. Robo advisors gain a significant advantage as compared to traditional wealth managers. For starters, they are available irrespective of time and location. Hybrid robo advisors can be used for complex investment decisions. Apart from the perspective of clients, full-service advisors, and discount brokerage houses can use robo-suggestions to increase their product portfolio. Robots with human hand holding can boost trust among clients. Travel and Transportation: RPA consulting companies have helped travel and transportation sector by gifting them virtual travel assistants. As per a survey by Trekksoft, one out of three persons uses virtual travel assistant to plan their trips. Apart from this, AI-enabled chatbots help customers with faster replies, reasonable booking prices, and travel recommendations. Personalized and human-like interactions enhance customer experience and feel. RPA solutions by artificial intelligence are gaining traction. It has the potential to replace human efforts and take up more jobs. But the bright side is that it will make the world, efficient and safer. If you are looking for exponential growth in your business via RPA solutions, we can help you sketch a path. Powerful and innovative technologies are emerging in this competitive world and Robotic Process Automation is one of the inevitable results of this technology enhancement. RPA has the power to transform the way businesses are operating now. The main goal of the RPA process is to communicate with the customers and internal business system in the same way that an employee does, to free up the time of human resources and use it for complex tasks. Based on the type of business, RPA vendors implement a robot applying your business logic, that can mimic human actions during communication with digital systems.
RPA Companies can easily configure automation robots to avoid repetitive and routine tasks that enhance business processes. These bots can perform any task with high accuracy like logging in and out of an application, mimic activities that a human would do, interact with customers with utmost accuracy, data copying, and pasting, filling different forms, opening email and attachments included in the email etc. The main benefits of RPA to industries are: Non invasive technology: The way RPA is built, it can easily adapt to any kind of BPM suite. It does not require complex integration, no need to change the underlying infrastructure in the companies. RPA does not require any technical skills a nontechnical staff can easily implement bot in their process. It can easily integrate into the central systems without any expensive infrastructure changes or enhancement. Accuracy, consistency and high productivity: These bots are highly accurate and very consistent. These bots are very less prone to make typos or mistakes that can easily be made by humans. Once the setup of RPA is complete, the elimination of manual errors is almost done. Companies may not receive any complaints from customers regarding data errors. Bots can easily process advanced analytics and combine different data sources, which is the most crucial feature of RPA. Bots will work with tremendous speed in tasks like filling forms, copying data from one system to other systems, where employees can take more time to perform. This increases the process cycle time in the tasks. Employee empowerment: Bots do not require any help from the other employees or guidance in performing tasks or any other technical skills. These can transfer complex processes from humans to machines with less time. Employees can invest their time in other strategic work. Compliance: Bots follow regulative compliance practices and provide audit trail records. Whatever the instructions that are configured in the bots, they follow the same and also they could playback the past actions if required. They can work 24/7 without any guidance. Robots can perform multiple tasks in just a few seconds with high accuracy and reduces the cycle time also. High ROI and cost savings: One of the major advantages of RPA is a reduction in implementation costs. Unlike other automation technologies, RPA does not require any high-level resources to integrate. RPA service providers can complete the automation with the present systems in the companies. Once it is successful, the tasks will be completed in less time with greater outputs, which results in high ROI. As per McKinsey, it is clear that the Implementation of ROI helps companies in gaining nearly 30% to 200% ROI in their first year. There would be around $5-$7 trillion cost savings in the businesses. As RPA provides high efficiency and productivity, the RPA market is growing rapidly and this would reach 2.9 billion by 2021, as per Forrester estimation. Gone are the days when the future was predicted by gazing at the crystal ball. BI and analytics services are all set to unlock the future through the potential of data, using predictive analytics. Insights have been turned into actions. And that’s what this blog talks about— the application of predictive analytics in business and the top 4 industries leveraging it.
Sectors Leveraging BI and Analytics Services Healthcare: While we’ve always been taught that prevention is better than cure, it is now that the healthcare sector has taken prevention to another level. Prevention and prediction walk simultaneously. There is a chunk of data floating around in the healthcare sector—records of patients have now gone digital, and computerized images have replaced the x-ray films, and so forth. To prevent the occurrence of any disease, the prediction made by leveraging these data is hugely beneficial. Business intelligence tools help in creating risk scores based on biometric data, lab testing, patient-generated health data, and data provided by healthcare providers. Individuals with elevated risks of developing severe health conditions can be identified before the occurrence of symptoms by using this data. It also allows healthcare providers to maintain the quality of services, keeping the cost intact for the patients. Retail: The crucial questions about demand always hovering about the minds of retailers are "Why, what? and how much?" Business analytics companies have gifted retailers with predictive analytics for all these queries. Customer behavior is unpredictable. But these behavioral patterns can be studied to amplify customer satisfaction, ameliorate customer service, and augment customer experience. BI and analytics services also tune the marketing mix for retailers. Predictive analytics help the retailer understand the needs and wants of the consumer, the sensitivity of consumers toward the price of the product, suitable promotional campaigns, and the channels of distribution and delivery. And, we all are aware of what the right marketing brings to the table. Cyber Security: Though bring-your-own-device (BYOD) and work from home have given flexibility to employees like never before, it has also opened gates to cybercriminals. A sea of data flows within the organizations daily. Predictive analytics enables organizations to identify patterns and detect anomalies in real time so that the data can be prevented. It can predict where cybercriminals are likely to hit next, where the soft spots are, and how armed you are to counter an attack before the damage has been done. Well, “forewarned is forearmed” is the principle that predictive analytics operates on. Where handling colossal data is a pain for organizations, it is a gain when it comes to predictive analytics. Human Resources: BI and predictive analytics have bestowed HR with multiple applications. They can predict the profile of an employee who would be the perfect match for the firm and can predict how long the employee is likely to stay with the organization. The productivity quotient of an employee and the kind of skills lacked in the organization can also be measured via predictive analytics. IBM used predictive analytics to find out which employees will quit with an accuracy as high as 95%. BI and analytics services are assisting clients in getting 360 degree insights about their business, customers, and products. It will not only predict the future but also analyze the risks beforehand. If you are a part of one of these sectors, or any other for that matter, and are mulling over leveraging the power of BI and predictive analytics for your business, we can help. |