Artificial Intelligence has been constantly adding never-seen-before nuances in almost every domain which has led to exponential growth in technology and business. A delightful customer experience is that goal for which the businesses burn the midnight oil.
PEGA Decisioning x IPL
Pega’s AI-Powered decision-making acts as a catalyst to adopt customer engagement strategies by making decisions that are data driven. From the audience’s lens it is merely a show of game and glamour but what really goes in is the power of data and analytics channelized in the right direction to put forth an enthralling game.
It will be interesting to note how analytics backed up by AI has completely revolutionized this much sought after sport and how it influences everything from player selection to building in-match strategy.
How Data-Driven Auction analytics work?
Game begins before the actual game.
- Franchise owners and analysts rely on data models to predict player performance based on historical statistics and current form.
- The player’s profile can be analyzed in terms of how versatile a player is and it can be a deciding factor for fixing the cost per wicket, cost per ball and what overall impact a player can build in a match.
- It is crucial to dig out some underrated players which have immense potential to perform. Every season of IPL witnesses some not so popular players become talk of the town with their exceptional performance. Such players are roped in with a decent price tag but offer a magnanimous game.
Let us dive in deeper to understand how Pega Decisioning can make a difference with its innovative inputs:
- Real-time Strategy Building:
AI-Powered Decision-making system (Pega Decisioning) can help strategize various aspects related to the match such as weather conditions and pitch behavior and thus help improvise batting and bowling strategies accordingly. It can figure out the “next-best-move” by analyzing the on-going match dynamics.
- Player Staging:
On the basis of a player’s historical data, an in-depth analysis can suggest how to tackle a particular opponent or how to cope a particular situation in the match. Pega decisioning plays a vital role in for the coaches to decide batting orders and optimize a team’s performance based on the analytics suggested.
- Streamline Operations:
A seamless experience to the user is what AI advancements promise. The Decisioning engines not only help the fans to relish well-organized matches but also empower the organizers to plan for the unforeseen. Crowd management, resource allocation and dynamic ticket pricing can be handled impeccably if the strategies are data-driven.
- Fan Engagement Analytics:
Any event turns to be a success when it hits the right chord with the targeted audience. Identifying the right audience and conveying them the right message fetches desired results. So the analytics not just benefits the teams but also the, IPL marketing and Fan engagement teams which leverage the data to personalized content according to fan preferences. With a massive fan base around the world, Fan-Data reinforces the fact that tailored experience can contribute tremendously in taking it to glorious heights.
- Targeted Campaigns:
The engagement quadruples if the marketing campaigns are directed with personalized content which allures the viewers, resulting in business that reflects success with unprecedented numbers.
The rise of AI-Coaches and simulation-based scenario planning proves the fact that the role of analytics is here to stay. With the technological advancements in every sphere, cricket is also evolving and incorporating the advantages of AI, to offer phenomenal experience to those millions of eyes gazing at the screens and cheers filling the stadium with unending zeal and enthusiasm.
