Why ‘Ingenious e-Brain Solutions’ for Customer Insights & Surveys?

Yellowfin today announces its continued expansion into the North American market, with significant growth across customers, partners and analyst networks and continued development of additional analytical capabilities that will accelerate the platform’s reach across sectors heading into 2021.

“We are experiencing a significant lift in demand for our platform across the globe and in NA in both the embedded and enterprise space, as organizations look to data to better support acceleration towards digital transformation mainly driven by COVID-19,” said Glen Rabie, Founder and CEO of Yellowfin.Customers, Partners and PeopleYellowfin has achieved significant customer wins in 2020, including Schneider Electric, Viavi Solutions and Incopro and continues to build out its Full Service Partner network to service NA enterprise customers, and Service Partners to provide onboarding services for embedded ISV customers.

“Yellowfin 9’s extensive support for embedding analytics has seen a significant increase in the number of partners and new ISV customers this year – particularly in NA – the largest ISV market globally,” said Josh Read, SVP of Global Sales & Partnerships.Yellowfin continues to expand its North American team with a number of high-profile hires.

Joining the NA team in 2020 is Amy Brazil, Director of Customer Experience; Michael Hollebeck, VP of Sales; Mike Ames, Account Executive; Wynn Johnson, Senior Growth Account Executive; and Brian Walker, Director of Education.

All bring years of experience in driving customer success and building healthy ecosystems of customers, suppliers and partners.https://www.martechcube.com/bi-platform-yellowfin-accelerates-expansion-through-north-america/

Artificial intelligence is providing more insight and better automation for businesses of all sizes in all industries. It is proving itself as a powerful tool to reduce repetitively, eliminate money and timewasting tasks, as well as increase what businesses can learn from their customer data.

What are the applications of artificial intelligence in banking?

NCR says that AI can do more than just automate tasks for banks. “…Banks should be looking at the bigger picture – how AI can not only save costs, but also open up new opportunities to design and deliver next-generation services, and revolutionize customer experience? Rather than being perceived as a replacement for people, AI can be deployed to do simple, monotonous jobs that don’t require the human touch. Consequently, the human resources within an organization are given the time to focus on more complex, nuanced jobs that could ultimately prove much more valuable, such as engaging with customers and designing new products.”

Customers who interact with banks digitally create a lot of data for banks and financial institutions to gather, analyze, and act on. Using artificial intelligence and machine learning techniques can help businesses track and understand what the needs and wants of their customers are, ultimately using this data to create better products for customers and enhancing their overall experience with your business.

Customer intelligence, as defined by Aspire Systems is “the process of gathering and analyzing information regarding customers, and their details and activities, to build deeper and more effective customer relationships and improve decision-making. CI helps businesses create an ideal customer profile, predict their wants and dislikes and engage customers at an emotional level. It also gives a better insight into the customer persona thus enabling improved targeted marketing and better analysis of customer complaints.” Ultimately. AI works to make it faster and easier to make smarter business decisions, using the plethora of business data available. This customer intelligence data can grow your business, give you a competitive advantage, and help you remain innovative.

Artificial intelligence in banking to improve the customer experience

Is using artificial intelligence in banking a good use of your business resources? Here are some of the customer experience benefits that AI can drive in your business and use customer intelligence data to improve the banking experience for customers.

1. Better personalization for a better customer

Banks aren’t retail, but they do sell products like loans, accounts, and investment services, so they need to be turned into customer data to find out how to personalize their offers to customers. Showcasing your additional abilities and products to existing companies can help drive your revenue, and using AI to help you not just understand what the smartest recommendation is but also how to develop the most personalized content that can be delivered at the right time.

2. Improved trust and customer loyalty

The Royal Bank of Scotland has 17 million customers and like most businesses, particularly banks, used upsell tactics with existing customers in order to build revenue. Some customers found this too aggressive and weren’t turned off by their efforts and marketing communications. AI helped businesses transform their customer outreach. In this particular bank’s case, this meant reaching out based on customer behavior and creating conversations that mattered, such as reaching out with advice to customers who continuously overdraft their accounts.

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Customer Analytics Market, By Solution (Web Analytical Tools, Social Analysis Tool, Reporting), By Service (Professional Service, Support and Maintenance Service), By Deployment (Cloud, On-Premise) - Global Forecast 2027Market SynopsisAccording to the customer analytics market size expected to grow at approximately USD 7.3 Billion by 2027, at 15% of CAGR between 2020 and 2027.Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/3777Market ScenarioThe main drivers of the market for customer analytics are that competition between companies and increasing demand for better customer service is fueling the growth of the market for customer analytics.

Throughout the retail sector, consumer analytics is used extensively to develop customized interactions and marketing programmes.

Social media analytics incorporates tracking, measurement and analysis tools to reveal consumer and company feelings with customers through social media platforms by linking their product list with e-commerce sites, The growing demand and ownership of smartphones has created the illusion that they are advertising mobile value-added services right around the corner.

Constant customer-specific modification and optimization of services is expected to have a positive impact on telecom operators and service providers in the mobile value-added services market , particularly in the education, advertisement, and IT and telecommunications industries.

Social media analysis tools allow company to gain competitive advantage by improving business awareness, enhancing product and service processes, providing deep insight into consumer purchasing behaviour and promoting industry innovation.Based on deployment, the voice of customer analytics market is segmented into cloud and on-premise.

The study indicates that growing demand of digitally stored data and cloud computing is driving the on-premise deployment service.Customer analytics Market by Organization Size, is segmented into Small & Medium Enterprises and Large Enterprises.Customer analytic Market by Vertical, is segmented into Government & Defence, BFSI, IT & Telecommunication, Healthcare, Retail, Manufacturing, Travel & Hospitality, Transportation & Logistics, media & Entertainment and OthersRegional OutlookThe regional analysis of customer analytics market has been conducted on Asia pacific, Americas, Europe and Rest of the World.

Every business has it's own group of loyal customer.These customer feedback is very important to improve exsting products.Management always tries to get customers views and opinion on particular product or service for thier decision making process.Customer feedback can collect in many ways but some of them are online surveys,questionnaires,polls,contests and opinion thorough machines at cash counters at outlets etc..At the end , any input collected from lower level reached to management or decision makers level who have ultimate control on decision making.

Management take decision after considering in and out all the things.One of the area to consider in decision making is feedback collected from customers