Global Cloud-Based Business Analytics Software Market Expected to Reach $57,055 Million by 2023 - Allied Market Research
According to a recent report published by Allied Market Research, titled, "Cloud-Based Business Analytics Software Market by Deployment Model, End User, and Application: Global Opportunity Analysis and Industry Forecast, 2017-2023," the global Cloud-Based Business Analytics Software Market was valued at $28,854 million in 2016, and is projected to reach at $57,055 million by 2023, growing at a CAGR of 10.2% from 2017 to 2023. In 2016, the hybrid cloud segment accounted for the highest revenue share in the business analytics software market.
Artificial Intelligence Certification Program Lauded as a Great Success by Attendees and Industry Experts
Muscat, Oman – May 8, 2018 – The first Artificial Intelligence Certification Program has been inundated with positive feedback from participants and industry experts for the outstanding quality of the course and value in providing guidance on developing high-impact AI strategies.
The program organized by Persontyle in partnership with CSER and School of Data Science and Engineering UK, was held on April 18-19, 2018 at the City Seasons Muscat. The 2-day certificate program followed the skills framework and curriculum of European Data Science Academy for business leaders and professionals to jump-start their Enterprise AI strategy to grow and compete using big data, IoT, and deep machine learning.
LONDON--(BUSINESS WIRE)--Mar 19, 2018--Quantzig, a global analytics solutions provider, has announced the completion of their latest article on the seven most popular analytics tools used in business.
This press release features multimedia.View the full release here: https://www.businesswire.com/news/home/20180319005678/en/
7 Analytics Tools That Every Manager Should Know About (Graphic: Business Wire)
For too long communications service providers (CSPs) have been falling behind in customer experience (CX), while other industries have evolved to deliver amazing results. Retail, banking, and even some insurance companies are creating superior customer experiences that double as a competitive advantage. So, what’s stopping CSPs from achieving the same success? A number of factors come into play, including the complexity of service delivery and changing consumption models. But in the face of these challenges, artificial intelligence (AI) is here to help.
While content marketing may always be the number one way to reach customers on the web, using data science is the number one way to keep them around once you’ve caught their attention. Data science, also called big data or machine learning, helps companies develop the kind of customer experiences that leave customers satisfied and looking for more from a given company.
Customer experience is the new global currency for companies looking to invest in differentiation and growth. Best-in-class firms have leaped in eagerly, capturing customer feedback at every touchpoint, closing the loop quickly and integrating efforts across their entire organization.There are many different theories on how to build and sustain a customer experience program, and advancing technology continues to provide lots of cutting-edge measurement, reporting and planning tools. However, understanding foundational components is essential for company leadership as they look to adopt best practices. Here are five basic concepts to help firms raise their CX game.
Most brands recognize that customer-listening programs add value to their overall experience. However, almost all struggle to move beyond the basics of satisfaction scores and net promoter scores (NPS).This has left brands rescuing unhappy customers, rather than preventing negative experiences in the first place.
The future of customer experience is artificial intelligence. Artificial intelligence is popping up everywhere and changing how customers interact with brands. In fact, by 2025, an estimated 95% of customer interactions will be supported by AI technology.
From chatbots to automation, artificial intelligence helps brands learn more about their customers to enhance personalization. Here are just a few of the ways brands are leveraging artificial intelligence and machine learning to make customer experiences better: