futureanalytica

  When working with ☎️ telecom enterprises, we see a lot of low-code automation with large-scale spread-out infrastructures for streamlining customer service that lowers capacity planning and network optimization. Our no-code cloud-agnostic 1-click deployment with end-to-end data science management from data to value across your organization integrates AI into your business that is as simple as a few clicks. With  FutureAnalytica.ai , what if we make your teams more productive at a fraction of cloud cost. Reduce expert's workload & increase data scientists' efficiency by 10x. Our Advanced Analytics is as easy as running your favorite app in the deployment of 5G itself and improving the service offering of a network. 5G network slicing enables 📶📲telcos to intelligently provision network resources so that slices can be scaled 🆙 and ⬇️down as needed whilst maintaining SLAs. A more intelligent and automated approach to networks will increase margins and customer satisfactio...

  Telecommunication is one of the vital factors touching human lives every second, and more. 🌐📶📲World Telecommunications Day on 17th May celebrates the constant evolution of how information travels, connects and helps bridge the digital divide between people around the world. This year it emphasizes the importance of using telecommunications and information and communication technologies (ICTs) to stay healthy, connected and independent on a physical, emotional and financial level for the elderly.

  What is Credit Card Fraud Monitoring? Credit card fraud monitoring is the process of relating purchase attempts that are fraudulent and rejecting them rather than recycling the order. There are a variety of tools and ways available for detecting fraud, with utmost merchandisers employing a combination of several of them. Payment cards are easy to use because you only need to transmit a many simple figures to the bank in order to identify your account and authorize the sale. This simplicity makes them vulnerable as well. It’s veritably hard to exercise rigorous  data security  on a many simple figures that must be participated with the parties you are transacting with. These chips tokenize account figures, making them less vulnerable to data theft, and cannot be counterfeited as fluently as glamorous stripe cards. Why is Credit Report Monitoring Important? Identity Theft Protection Identity theft- related fraud is the swift- growing online crime in the world. As the inte...

  🏛Insurance companies are vulnerable to fraud as it grows digitally with ever-increasing cyberattacks taking advantage of the enterprises. It is estimated 👽cybercriminals steal 30 billion personal data records and cause USD 5 trillion in damages annually. At  FutureAnalytica.ai  we predict your fraudulent transactions in clicks, our inbuilt predictive analytics app helps you speculate which transaction is likely to be fraudulent. We help simplify your fraud prevention efforts and establish digital 🆔 identity trust that provides seamless, frictionless authentication and gives continuous compliance for 😊 user's journey. 🔐Protect your organization from ❌ phishing attacks and examine deep security analytics to gain insights into threats and prepare your teams to enhance security measures against cyberthreats without the need of writing codes. Our no-code cloud-agnostic  #AI  platform saves your money, ⏰ time and effort leading to 5 x ROI. 😎 Make smarter AI-dr...

  What is Fraud Monitoring? Fraud monitoring  is one of the most critical aspects of internet security on today’s Internet. Cheating companies, unsavory factions, and hacking groups are all at work, looking to steal data from unsuspecting users. This only compounds the problem that fraud brings to businesses each day. However, many now know that fraud monitoring tools can help keep a business safe and out of harm’s way. These systems are now a necessity. This trend will force fraudsters to become more sophisticated and advanced in their attacks on payment systems. It is time that organizations implement Fraud Monitoring Systems in their data security strategy for e-merchant websites. It is a very important process in monitoring transactions, and also can prevent fraud. Fraud Monitoring is a technology that is set as a puzzle. For example, based on the historical transaction data, create rules and then check whether the transaction conforms to the rule’s state. It not only impr...

  ❓Did you know corruption and financial scheme 🧛‍♂️deceits are some of the fraud categories that may lead to losing an investor's trust in an organisation and ⬇️📉 lower profitability? When detected, such risks may lead to reputational risks & result in poor😔customer morale too. Hence, fraud risk assessment and monitoring should be applied at the entity level across processes. Prevention of fraud can help the corporate leadership team mitigate the challenges. It can also help identify weaker areas of functioning and take 🔐✅ corrective measures. FutureAnalytica's  AI Solutions for advanced financial monitoring are based on up-to-the-minute AI algorithms that can unearth complex hidden patterns in real-time on large data volumes. Easily integrate and accelerate secured end-user controls for your business with FutureAnalytica, World's most advanced no-code automated AI platform. Request for free Demo 🖥️ and Get Connected at 👉 info@futureanalytica.com

What is Retail Price Optimization Retail Price Optimization is the use of mathematical analysis by a company to decide upon the most effective pricing for a product or service. Price optimization utilizes data analysis to predict the behavior of potential buyers showcasing distinctive prices of a product or service. Price optimization is an integral part of any business which sells goods or services. Dependent on relevant data, companies use price optimization models to determine pricing structures for initial, promotional and discount pricing. This makes your price optimization strategy incredibly important to a healthy and growing industry. Price optimization practice has been implemented in various industries, retail, e-commerce portals, and fast-moving consumer goods. Price Optimization uses mathematical analysis to determine how customers will respond to different prices. Based on that, prices are optimized to meet the company’s objectives. Machine learning technology takes the fo...