futureanalytica

  Find out how you can capitalize your organization's retail strategies, get real insights in advance of the customer who is likely to leave in the next 15 days, and analyze the real reason for attrition in minutes through our platform. Take action to give customers lifetime value, cross-sell or up-sell propensity, and stop attrition through our predictive analytics automated ML models. Market Basket Analysis | Customer Retention and Loyalty | Price Planning | Fraud Prevention Explore the possibilities and map effective AI journey with  FutureAnalytica  AI-enabled platform |  https://bit.ly/31wxIa2

  What is Data Visualization? Before understanding Data Visualization let us understand what does the term Data means and why it has so much relevance? The term Data means any information which can help us to analyze and, take decisions. For example, the government has to roll out a scheme for people living below the poverty line. In that case, if the government does not have adequate data then it will not be able to predict how much allocation of funds is to be distributed area-wise. Therefore, data would be the information of people having income below the poverty line. That is why data becomes an important asset in any field. Now, that the term data is clear let us try to understand what does data visualization means. Let’s continue with the same example. When the government is making the plan regarding the distribution of funds, and while tabulating the data, the officials start using graphs, pie charts to identify various states or cities where a population below the poverty l...

Augmented analytics assist in generating actionable insights from data and result in the deployment of these insights in decision-making and planning business strategy to benefit the growth of the organization.  What is Augmented Analytics and how does it work?  We know data is the utmost asset, it is generated on an everyday basis from a variety of sources. Manually analyzing and processing raw data to derive relevant insights is often a time-consuming and multi-step procedure. To have a well-informed understanding, the foremost step is to comprehend the data and recognize the requirements. Hence the concept of augmented analytics comes into place to ease the process using the latest intelligence along with storytelling and automation. Augmented analytics is the segment of analytics that uses assistive technologies such as ML and AI algorithms. These tools involve an extensive variety of data science techniques, including records mining, statistical modeling, gadget lear...

As the world is shifting to more digital culture, for the  Consumer Durables Markets  the industry is adopting Artificial Intelligence  AI  in these unprecedented times is a must. The  Consumer Durables  companies are looking to eliminate manual processes and harness  AI-powered immersive interfaces to give delightful  UX  user-centric experiences. The challenges faced by the Consumer Durables industry are getting more bigger and demanding by the end-user. With the help of customer data management and analysis, companies have effectively adopted an AI aided decision support system. AI helps with new  Innovations  and fulfills the needs of price-conscious and tech-savvy customers. Manufacturers of  Consumer Durable Products  must understand how technologies like  Speech Recognition ,  Natural Language Processing   NLP , and Computer Vision may help them run their businesses more efficiently and interact with ...

  Artificial Intelligence   (AI) is reshaping the banking industry and changing how the banking sector is systemizing its functionality. The banks are  focusing  on customer-centric tech-driven applications to deliver seamless experiences. For the   digital millenials   mobile banking ,   ebanking , and real-time money transfers on a click of a button anytime anywhere is an expected norm. Though comes with a cost for the banks due to the increased transfer of confidential information is shared over virtual networks that are vulnerable to cyber-attacks. The impact of   AI   in the banking sector like Predictive Analytics, Chatbots, Biometrics Fraud Detections, and Voice Recognition fosters healthy growth. That said, requisite agility in hybrid banking infrastructure, the higher automation will scale up customization, and distinctive omnichannel experiences will add new growth opportunities for the banks. To accelerate and amplify the rise of e...