Predictive analytics is the use of data analysis, statistical modelling, and machine learning technology to ‘predict’ likely outcomes.
The future of Customer Relationship Management tools and how Artificial Intelligence and Machine Learning will affect CRMs
The travel industry has much to gain, and offer to its customers through smarter use of the big data it collects. Big Data analytics has the potential to deliver experiences more profitable for companies and more pleasant for travellers.
Learn how you can use Big Data analytics for effective pricing of products
Predictive Analytics emerges as a game changer and tools associated come as a boon to the businesses as they swiftly manage the marketing process. So here in this article, we mention some modern Predictive Analytics tools that made a lot of noise in 2018.
Machine Learning vs Predictive Analytics – Know how these two technologies are related to each other and on what basis can you differentiate between them?
Precision vs Recall- Understanding the accuracy paradox in machine learning algorithms. Know how to align ML algorithm with business objectives.
Descriptive vs predictive vs prescriptive analytics – Each level showcases a different level of complexity. Know the difference and applications.
What is market mix modelling and how it can be used to predict sales and ROI from marketing activities? Know how big data analytics can help in marketing.
What is attribution modeling and how it can be used to identify the most productive marketing activities in business? A complete guide to precision marketing.
What is markdown optimization and how you can use to reach to an optimal pricing level that maximizes revenues. A guide to using big data for price optimization
Learn what is market basket analysis and how it can help you predict your customer’s purchases. A secret way to increase cross-selling using big data analysis.
Here are 5 uncommon ways of using big data in retail that a business of any size can leverage to get ahead of its competition in no time. Try them today.
Industries like Healthcare, e-commerce, Travel & Banking are using Predictive Analytics to increase its sales & establish better relationship with customers.
When developing a business centric mobile app, it’s recommended to understand the strategic importance of these & the major implications it comes with.
Predictive Analytics in business is the new key to growth. Know how to benefit from the technology and implement the right tactics.
Utility industry is one arena where predictive analytics can be very well applied – and it needs to happen on a fairly large scale. Here is how it is helping.
Predictive analytics helps banks with customer retention, identify fraudulent activities and identify future events based on past happenings.
While 2016 was a great year to see some big & exciting changes in big data, we have a lot to expect in the coming years. Here are the top big data trends that are expected in 2017.
Till some time back, analytics was limited to reviewing past activities and providing insights on how businesses were operating. Predictive analytics is changing that.