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Divya Arora

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Kind words are worth much and cost little. This creates opportunity: when you can’t out-spend the competition, the solution is to out-support them.

 

Here are 14 tips from the support documentation of world leaders in providing best customer service. I hope these will help you in improving your customer service.

 

  1. Practice sympathy, Patience, and Consistency: Some of your customers will be full of queries, some just chatty, and others plain mad. You must be ready to handle all of them and provide the same level of service every time.
  2. Good customer Service may be a Continuous Learning process: Every customer is unique and each support situation is totally different. In order to handle surprises, sense a customer’s mood, address new challenges consequently, you've got to be willing to stay learning. Strive to have a deep understanding of your customer’s challenges and still search for better ways to deal with them.
  3. Train customer service agent for understanding product detail: The training and development program must cover all aspects of how to deal with issues, talk to customers, and resolve problems.  Apart from that, your team should believe in and understand your product before they are sent out with the task of pacifying a customer. If your team does not know the product or the service well enough, then they will not have enough knowledge to tackle an issue.
  4. Solving a problem as soon as possible: When customers complain, your team must acknowledge the issue quickly and try to resolve it timely.
  5. Use technology to assist them: Customer support can only be performed accurately if we mix the technology with the humanistic approach.
  6. Add live chat to your website: Live chat can help your customer support team to interact with the customer in depth so that the customer can get resolved his queries easily.
  7. Use customer service templates: It’s important to keep your standards high and your response times low. Don’t waste keyboard strokes for every basic and common question. Build professional templates so you can respond to customer with ease and professionalism.
  8. Maintain a positive attitude: It is very important that your team keep a positive and bright attitude when managing your customers. If you maintain an accommodating and inviting attitude, then you will easily avoid conflicts.
  9. Apologize for any inconvenience: Whatever the issue, and whatever role your company played in the issue, you need to apologize to the customer. If the consumer’s credit card did not work, tell them you’re sorry for their inconvenience or that it happened.
  10. Listen to your customer: One of the simplest ways in which to serve your customer is by listening to them from the beginning. Most customers contact or reach bent on your support team to when they want to convey a message or a problem. Therefore, the first and most important thing you can do is to hear them out completely.
  11. Never say “I don’t know”: When your team represents your business, they need to speak as if the business itself is speaking. So, once an executive says “no”, Customer instantly diminishes the value of your business. “No” isn't an answer. If a customer is facing a difficulty, then your team should try and resolve it, one way or another.
  12. Admit your mistakes: If you mess up, admit it, even if you discover your mistakes before your customers do. Admitting you messed up builds trust and restores your customer’s confidence in your service. It also allows you to control the situation, re-focus the customer’s attention, and fix the problem.
  13. Follow up after a problem is solved: Follow up with your customers to ensure their issues were resolved properly and that they were satisfied with the service. Give them a call, send them an email etc.
  14. Always close conversations correctly: Every conversation you close with a customer should end with you saying “Is there anything else I can do for you today? I’m happy to help!”

 

Everyone should be feeling the customer’s pain points. When your whole company is encouraged to be involved in customer service, knowledge of problems, bugs, and features becomes illuminated for the entire team. There’s no faster way to make improvements that drive your business forward.

APIs became so valuable it comprises an oversized part of several businesses’ revenue. Major companies like Google, eBay, Salesforce.com, Amazon, and Expedia are simply many of the businesses that build money from their APIs.

 

API stands for application program Interface. It refers to a group of tools, protocols or routines used for building applications. An API informs software how it should interact.

 

In other words, APIs are all about connection, and it’s a way to integrate data from one source into another source, such as a web service or mobile app.

An API defines functionalities that are independent of their various implementations, which allows those implementations and definitions to vary without compromising one another. Therefore, a decent API makes it easier to develop a program by providing the building blocks.

 

APIs allow developers to save lots of time by taking advantage of a platform’s implementation to try to work. This helps to reduce the number of code developers need to produce, and it helps produce a lot of consistency across apps for constant platform. APIs can control access to hardware and software resources.

 

Programmers tend to solve programming problems by more programming.

 

Why APIs are Important?

Now, you’re probably thinking there is no way major companies are handing out their valuable code and technology. But, you might be afraid that just about each major tech company think Facebook and Dropbox, simply to name a couple is giving away insights into their code and platforms, and this is what actually makes APIs so good.

 

Our Internet experience runs on APIs. Instead of accessing four different companies four separate times, we use one software to access all four at the same time.

 

  1. APIs is huge time saver: Have you ever logged into an application or a website using your Facebook account? It’s yet another example of how an API saves you the time of creating an account, and saves the company from creating a system from scratch.
  2. Businesses are creating apps that rely on APIs: One of the most famous company built on a foundation of APIs is the ride-sharing app Uber. Without its API connection to Twilio, the messaging platform, or Google Maps, the company would have never existed.
  3. APIs helps businesses: APIs can allow businesses, from startups to massive corporations, to concentrate on their core competencies without having to do the work that has already been done.

 

Types of APIs

There are various types of APIs, for example, you must have heard of Java APIs, or interfaces inside classes that allow objects talk over with one another within the Java programing language. Along with program-centric APIs, there are also internet APIs like the Simple Object Access Protocol (SOAP), Remote Procedure call (RPC), and maybe the most popular at least in name Representational State Transfer (REST). There are 15,000 publicly available APIs, according to Programmable web, and many thousands of more personal APIs that companies use to expand their internal and external capabilities.

 

Future of API experts

We already rely on APIs so much without us knowing. Whether we use an app to view current traffic or to check the weather, these apps frequently rely on APIs to pull apps data. With all co-dependence, it opens up realms of opportunities for applications to become integrated. It also allows developers and technology to advance much faster, because the internet and applications share information with each other.

There are currently over 15,000 public APIs available today and that number is expected to quadruple in the next four years, the opportunities for innovation are going to be endless.

We should not fear the future of APIs, but rather embrace the road, and let’s see where it takes us.

The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.

 

In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.

 

Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.

 

So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.

 

Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.

 

Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.

 

To achieve all of the above, a data scientist may be required to:

 

Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.

 

The Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

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