Analytics has taken world by storm & It it the powerhouse for all the digital transformation happening in every industry.
How is your organization putting efforts to know your customers in digital age?
When Pokémon go was launched, do you remember how many crazy people were randomly walking on the road, searching for poke balls and Pokémons at the public place which created a record of 500 million users in just 2 months.
This Augmented Reality inspired game not only tickled everyone’s senses but showed the world what future has in store.
This is the kind of user experience we are dealing with today.
User experience (UX) is use of Design Thinking or practices to make software, a website, a mobile app or business application more ergonomic, accessible, intuitive and pleasant to use.
Users expect more today. In their personal lives, they’re used to having easy-to-learn, easy-to-use, and fun technologies at their fingertips.
In our daily life, we interact with digital assistants for reminders, finding restaurants and doing whole lot of stuff with Siri, Google Now because it is much easier, faster. We may not exactly be getting more technically proficient, but we have become more comfortable using our phones and tablets to download music, find the nearest movie theater or pay for any purchases
Digital Transformation starts with Customer in mind. A top-notch user experience is a fantastic way to keep customers involved and engaged with your brand in this digital age. It is the key element to make difference with your competitors and get an edge.
For digital transformation to be successful, businesses are growing increasingly aware of the necessity to be more user-centric, be it their employees for internal systems or their customers for external-facing interfaces.
We are living in a century where technology dominates lifestyle;Digital Transformation with Big Data, IoT, Artificial Intelligence(AI) are such examples.
Over the past six months, Chatbots have dominated much of the tech conversation, the next big gold rush in the field of online marketing.
Chatbots are built to mimic human interaction, making them seem like an actual individual existing digitally. It could live in any major chat product (Facebook Messenger, Slack, Telegram, Text Messages, etc.), powered by basic rules engine or NLP and AI.
Chatbots have helped in conversation commerce in real time such as booking a cab or ordering a bouquet of flowers or pizza. Consumers will benefit from chatbots through personalization, and this is where social media plays a big part.
KLM has a customer service bot that's able to check your flight status and let you know if it's been delayed.
Interacting with software at a human level is becoming more mainstream from digital assistants like Google Home, Google Now, Apple Siri.
- Freemium model : Basic products/services are provided free but users are charged for advance features. E.g. Coursera, LinkedIn, Spotify, Dropbox, Skype
- Pay as you go or Subscription Model : Pay only for services which are used. E.g. Netflix, Kindle, New York Times, Safari Books online
- Customer experience model : provide the customer experience never before e.g. Tesla, Disney Land, Apple
- On-Demand model : provide customer service on demand with speed. E.g. Uber, cloud services from Amazon, Microsoft
- Marketplace model : provide a platform for buyer and seller interact with each other directly e.g. ebay, Alibaba
- Free model : provide the typical services to users free and sell their behavior data to different businesses e.g. Google, Facebook, Patientslikeme
- Crowd-sourcing model : receive money for engaging crowd for common goal, innovation, problem solving. E.g. Kaggle, CrowdAnalytix
- Bundling model : selling similar products or services together. E.g. Microsoft Office
- Gamification model : use of game like feature to simplify the interaction. E.g Mint.com, Khan Academy, Nike +
Was this all available to us 20 years before? Ali Baba’s “Open Sesame” was a story of childhood, but Digital Transformation is reality – and from now on nothing will be same again.
In the recent Cricket world cup, every team had its own team of Data Analysts. They used various technologies like Cloud Platform and visualizations to predict scores, player performance, player profiles and more. Around 40 years’ worth of Cricket World Cup data is being mined to produce insights that enhances the viewer's experience.
- What would be the most profitable food served at the concession stand?
- What would be the best prices to sell game day tickets?
- Determine which player on the team is the most productive?
- Which players in the draft will become all-stars, and which ones will be considered role players?
- Understand the fans behavior at the stadium via their app and push relevant information accordingly.
- Very small, targeted in scope and functionality
- Gives developers the freedom to independently develop and deploy services
- Loosely coupled & can communicate with other services on industry wide standards like HTTP and JSON
- API based connectivity
- Every service can be coded in different programming language
- Easily deployable and disposable makes releases possible even multiple times a day
- New Digital technology can be easily adopted for a service
- Allows to change services as required by business, without a massive cost
- Testing and releases easier for individual components
- Better fault tolerance and scale up
- Incur a cost of the testing at system integration level
- Need to configure monitoring and alerting and similar services for each microservice
- Service calls to one another, so tracing the path and debugging can be difficult
- Each service communicates through API/remote calls, which have more overhead
- Each service generates a log, so there is no central log monitoring.
Now is the time to move beyond just collecting, storing & managing the data to take rapid actions on the continuous streaming data – Real-Time!!
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