Although the impact of digitization is not new, the digital economy is entering a new age that has impacted enterprises globally on an unprecedented scale.
We are now living in the Hyper Connected World where People to People, People to Things and Things to Things are connected. Hyper connectivity has forced people to adapt to a Digital Lifestyle and also gives life to inanimate things such smart products and digitised services.
- Digital Enterprise is an IT driven business model created either in response to the emerging digital market place and digital value chains or with the desire to create such shifts or both
- Digital Enterprise thrives upon digital capabilities to compete in the market place, which requires an ‘inside-out’ view of strategy to compliment the ‘outside-in’ view
- Digital Enterprise is built upon an agile
and responsive digital infrastructure to support the automational, informational and the transformational drive
Artificial Intelligence in industry, experts are predicting, will change everything about the way we produce, manufacture and deliver. Cognitive computing, machine learning, natural language processing – different terms have emerged as development of the technology has progressed in recent years. But they all encapsulated the idea that machines could one day be taught to learn how to adapt by themselves, rather than having to be spoon-fed every instruction for every eventuality.
Role of analytics
- Companies use analytics to decide which sales representatives should get which leads, what time of day to contact a customer, and whether they should e-mail them, text them, or call them.
- Analyze “unstructured” data, such as text and video, to pick up information on customer sentiment that acts as a further input.
- Analytics helps automate machine attribute correlations which saves labor and increases speed.
E-Commerce is a very dynamically evolving industry and this is primarily because of its underlying ever-changing technology.
Everything has now moved to a big data environment where everything is done seamlessly by E-Commerce industry and customer doesn’t even notice.
Role of analytics
Product specific analytics:
Online Marketing Analytics:
User Experience Analytics:
Supply Chain Management:
Gamification analytics is about tracking behavior so that the interaction with the system (game) will become simpler, more compelling and more engaging.
Gamification is gaining traction in a big way – the category was listed on more than a dozen Gartner Hype Cycles, the media buzz has hit a fever pitch and analysts continue to project the market to cross $2.8 billion by end of 2016.
Gamification will emerge as a competitive differentiator. In its recent Magic Quadrant for Customer Engagement Center Workforce Optimization, Gartner called out gamification as a powerful force in employee satisfaction and productivity.
Role of analytics
Connected, intelligent products that communicate with users, new digital business models that harness collected data to offer additional services and as-a-service products, products on the assembly line that tell shop floor machinery how they are to be processed. The core of Industry 4.0 is highly intelligent connected systems that create a fully digital value chain, the 4th industrial revolution enabled by the Industrial Internet of Things. Three key trends are changing the way of life for industrial companies• Digitize • Industrialize • Optimize
Role of analytics
A growing adoption and awareness of the smart city concept by an expanding set of government leaders. Information from IoT (drones, wearables, connected devices), social media, crowdsourcing and sharing economy companies will have a greater impact on cities. Smart cities also mean better protection against natural disasters.
Role of analytics The following are the areas in which analytics could have a profound effect on ‘Smart Cities’.
Today, sports are generating more data than ever before. Sports organizations have an unprecedented opportunity to use data to improve their decision-making and power their performance.
Big data analytics help sports organization use data to win more games, reduce operating costs, strengthen brand value, how to actively engage with fans on league and team sites, social media and public forums and generate additional revenue across new and existing channels.
Role of analyticsThe following are the areas in which analytics make an impact in sports industry
- Perform better predictive analysis of players and rankings.
- Anticipate player safety issues and prevent injuries.
- Analyze play-by-play effectiveness for real-time competitive intelligence.
- Get greater insight on recruiting.
- Gauge fan sentiment in social media, and respond quickly.
- Manage how, where and by whom your digital content is consumed.
- Provide more creative and engaging player and game stats.
- Enable more interactive player stat comparisons for fantasy drafts
- Determine the most dynamic pricing model for each market segment.
- Provide accurate measurements to prove ROI to your sponsors.
- Predict which sponsorship promotions will be successful.
- Optimize revenue inside your venue – from concessions to merchandising.
- Understand fan preferences and behaviors.
- Retain and boost revenue from season-ticket holders and new fans.
- Enhance the fan experience and nourish your high-value fans with more personalized and relevant communications and promotions.