14 Amazing Benefits And Importance of Digital Marketing For Growth

1. Better Growth Options For Small business

The importance of digital marketing for business lies in the option to select your method of marketing as per your budget and reach a wider audience at a lesser cost. Even a decade back getting your product marketed especially for a small business was a task in itself. They had to resort to small level methods where the guarantee of success was close to negligible.

2. Higher Conversion Rate

The businesses that are opting for digital marketing are able to measure the conversion rate through real-time using a simple method. That is identifying the percentage of viewers who get converted into leads and then subscribers and in the end, finally purchasing the service or product. SEO, Social media marketing and Email marketing are methods which have a high conversion rate as they are able to generate a quick and effective communication channel with the consumer.

Surprisingly all the traffic that you may get on your website may not be fruitful hence digital marketing lets you reach out to only those who have the need for your kind of service hence offering better lead conversions.

3. Establishing Brand Reputation

For any business to survive the one thing that they really need to work upon is establishing a reputation that is impeccable. In the past few years, it has become evident that customers will always prefer a company that does not have any scandals associated with it. The importance of Digital marketing today lies in offering you multiple ways to establish a personal rapport with your customer base. 

4. Solving Customers Problems

Be it email marketing or social media you can always offer the customer solutions to their problems and make them relate to your product by even providing live chat access. Your website and social media page can easily be converted into a place where the consumer can ask queries, give suggestions and hence take the association with you on a positive level.



An example of how customer grievance was addressed using social media

5. Engagement With Mobile Customers.  

After Google mobile-first update nearly almost all the websites these days are made in a manner that they are easily viewable on the mobile as well. This is because almost all customers have access to a smartphone and most of them even look for products on the same. 

6. Expansion of Faith In Your Brand

The presence of your brand and service on multiple platforms gives the option to customers to rate your services as per their level of experience. A positive and favorable review left by a satisfied customer causes the new ones to immediately convert. This, in turn, leads to the building up of the strong image of the brand in the minds of the new consumers hence leading to more conversions.

7. Better ROI for your Investment

While earlier budget allocations were done individually to handle each kind of marketing medium the situation becomes more progressive now. Even a small level of investment done in a mode of email marketing has the potential to deliver results in terms of customer engagement. Using web analytics helps the business owners know whether your website is providing optimal ROI. 

8. Digital marketing is Cost-Effective

A small business needs to save up on its resources before it finally goes into the green zone and starts making profits. Digital marketing gives you the scope to reach out to many customers at the same time and that too within your budget. You can plan your marketing strategy such that you only use modes that lie in your budget. If there is a budget constraint then you should always target your niche audiences.

9. Potential to Earn Higher Revenues

Since the amount of money invested is less and the ROI is more the scope to make money is much higher. As per a study conducted by IPSOS Hong Kong in accordance with Google has shown that compared to traditional methods, digital marketing is known to generate 2.8 times more revenue. This coupled with the fact that the conversion rates here are much high ensure that you are minting money as soon as you enter the fray. 

10. Computable Form of Marketing

It is very difficult to track record of success from traditional marketing but with the use of digital marketing tactics, every step of success is measurable. Digital Marketing works in real-time as it shows the success of each and every tactic that has been used. Through this, you may choose the best tactics that show the best results. After that, you can easily make changes in your campaigns to achieve greater success. 

11. Expanding Audience Reach

The most important benefits of digital marketing are reaching your audience to the fullest. Under traditional marketing, you are being bounded by the scope and size of your audience and print media limits you to certain places and markets. 

 Targeted Audience Approach:

Digital marketing benefits you to target your audience farther. There are higher chances that your audience is spending time on social media platforms such as Twitter, Facebook, etc. where you can publish an advertisement to gain more engagement with your audience.

12. Easy Adapting of Tactics And Strategies

Another major advantage of online marketing is that they are very easy to understand. You can easily understand through the result of tactics which one is giving you results and which one is not. Strategies that are implemented in online marketing gives you results on a real-time basis.

For example, if you want to promote your blog page then you can simply share your blogs on various social media platforms. With the help of content marketing, you can increase your engagement with your audience very soon and very accurate. 

13. Can Start With A Small Budget As Well

Everyone has a budget problem in life therefore many businesses didn’t promote themselves. But Digital marketing gives you another advantage of promoting your business with a very small amount. Online marketing benefits small businesses on a large scale with a small investment amount. 

Research Study By Marketing Profs:

According to the Marketing profs the data has been shared below that how digital marketing platforms helps various small scale business.

For instance, if you are the manufacture of hand made handicrafts but you don’t have money to promote your business then online marketing would play a significant role as with an amount of 10,000 you can publish your content over social media with a budget of 300 per day. Through this, you can promote your business for a period of one month especially to your targeted audience.

14. Go Beyond your Boundaries:

Using digital marketing for the promotion of your business is very unique in nature. You need to come out of your comfort zone and have to put some effort into it. Digital Marketing benefits you only if you are taking an active part in it. The role of digital marketing is very fast as it includes SEO, SMO, SME, and various other processes.

Conclusion:

The future of digital marketing seems very bright at the moment. However, while brands were earlier competing with each other’s marketing strategy now the focus has shifted to a fight against the entire internet. This is the time when brands will have to use different modes and ways to actually delve and make an impact on the customers. 

Surviving in such cut-throat competition is only possible if you can devise and implement a marketing strategy that portrays your uniqueness and gives the customers a reason to opt for you

10 Common Interview Questions & Answers for Fresher’s

For fresher’s, a personal interview is the most dreaded part of a job selection process. If it is your first job interview, the tension will be high. It is normal for anyone. But, there are some common questions that every interviewer asks. Knowing them in advance will come handy.

Most often, freshers fail at interviews not due to lack of skills or qualification, but due to lack of confidence. To boost one’s confidence, preparing these common questions in advance will help present a confident self in the interview.

Here are 10 common interview questions and answers that you should know. Prepare strategic statements for all these answers and get a positive impression in the eyes of the interviewer.

1. Can You Tell Us Something About Yourself?

It is the most common question asked at the beginning of an interview. While the question seems simple, the interviewer is trying to analyze how confident you are in conducting yourself through this question.

Give a brief about yourself and your family first. Then tell the interviewer about your educational qualifications and your achievements. Restrict the answer to 4-5 sentences. Do not try to recite your resume.

In brief, talk about your qualifications, achievements, and strengths.

2. Tell Us About Your Strengths?

While answering this question, be specific about your strengths. Tell the interviewer about your strengths that suits the job and make you appear as the right candidate in the eyes of the interviewer.

During the interview, you must not blabber about your strengths that are unrelated to the job role. Try to be creative by explaining your strengths with examples.

3. What Are Your Weaknesses?

An interviewer may follow the strengths question with this one to assess how self-aware you are. As a human being, every person has some weaknesses. By being self-aware, you will know about them. Answering that there are no weaknesses will make you appear arrogant and overconfident. Instead, choose a weakness that will not severely affect the job role. Also, specify your pro-activeness in overcoming your weakness.

While preparing for the interview, list out your strengths and weakness. Prepare answers and exercise on them. Frame your answers in a way that emphasizes the qualities the interviewer is looking for.

4. Tell Us About Your Hobbies

Through this question, the interviewer is trying to analyze how well you can fit in the organization and how well you can adapt to the company’s culture. Also, the interviewer is gauging your energy levels through this question. Therefore, share something that will aid you during the job. For example, if you state reading as your hobby, it shows that you will be attentive and focused. A hobby thus shows the other skills and strengths you possess.

5. Share Us What You Know About Our Company?

Through this common interview question, the interviewer is trying to understand what you know about the organization, the strengths, and the weakness. To answer, do proper research about the company before the interview. Make notes about the job and the company. Prepare relevant answers and try to practice.

6. Give reasons Why We Should Hire You?

This is a challenging question for a fresher. Without any job experience to back you, answering this question is tough. But as a fresher, you have to pitch your skills while answering the question. Tell the interviewer how your skills best suit the job and how you will be of value to the company.

By this question, the interviewer is also trying to analyze your self-confidence and your preparation. Stay true while answering and always read the job description and company’s requirements thoroughly to craft the best answer.

7. Tell Us Why Do You Want To Work With Us?

The interviewer asks this question to know about your understanding of the company, your expectations from the job, and if you would add value to their existing team.

Tell the interviewer why the company and the job role suits you and how you can work productively at the company. Create a response that shows how your career goals are in line with the company’s core values. Improvise your answer as per a company’s requirements.

8. Five Years From Now, Where Do You See Yourself?

The interviewer is not expecting you to tell your life goals for the next five years. But, this common interview question is to assess your career goals and to check whether you will stay with the company for a long time.

Answer this question a bit diplomatically. Align your answer with the current job role. Your answer should tell the interviewer how realistic you are regarding your career. The best way to answer this question is, to be honest, and try to keep the answer relevant to your job and industry.

9. How Much Salary Are You Expecting?

You can answer this common question by doing some research about the job role so that you can give a reasonable salary range based on the market value. Present your point clearly and make the interviewer see how you are the right fit for the job and deserve the salary.

10. Do You Have Any Questions To Ask?

Interviewers ask this question at the end of the interview to allow you to clear your doubts. Also, the interviewer will assess your keenness to take the job and join the company. If you hesitate to ask any questions, the interviewer might think you are unenthusiastic. To avoid any negative impression and to appear confident, ask questions to the interviewer regarding the job role.

However, preparing for an interview requires thorough research and hard work. Give yourself an ample amount of time while preparing your answers. Do not make the mistake of memorizing your answers. Just be aware of all the strategies behind answering each question and practice a couple of times.

What do you need to become a data scientist?

We are living in an era of big data. Everyone has connected to the world just a click ahead. We all are accessible, discoverable, connectable data goons. 10 years ago tracing someone’s location or searching for a lost phone was a thread and data science has changed it into a limitless luxury. Now, we can trace someone’s live location, can order food, can book our flights and even search for an online partner. This has become possible just because of the expeditious development in information technology so is of data science. 

Let’s take an example;

A few years back Indian government was having a national population register on the name of data comprising all the information of all Indian citizens, its collection, processing, analysis and handling the datasheets was a tough task while now we are heading towards digital India. By enforcing the Aadhar card government has created such a big data set and was having almost all our information which has now limited under the right of privacy.

Just a 10 digit code of a person can now give all your details about your address, phone number, date of birth, bank details, driving license, electric and water connection bills, etc. to the government and it has become easier just because of data science.

Now from the government to private companies over colleges to multiplexes, all are having our contact details. Just by putting our mobile number anyone can access our details and even can track us. Whatever we are ordering online, eating at the restaurant, and traveling are being recorded by certain mobile applications. Each step is creating data. It would not be metaphoric if we say in the current era we are eating and roaming with data because 

For making it simple I am going to divide my blog into some major parts.

  • Data and its type
  • Data science
  • The demand for a data handler
  • Required technical skills
  • Required non-technical skills
  • Ethical issues
  • Conclusion 

1. Data and its type

Data is a plural word derived from a Latin word “Datum” which was first used in English during the 1640s. Data is everything; a fact, character, symbol, expression, equation, result, image, music or anything that can be used to derive any useful information. In short, data is the least abstract facts used to derive more abstract information. Statistically, data can be divided into categorical and numerical according to the kind eg. Nominal-ordinal and interval-ratio etc. In data science, we generally consider data as structured and unstructured. 

 2. Data science


Data science is the most evolving branch of science and a blend of computational techniques. Earlier data science word was used for computer science while in 1974 a computer science engineer Peter Neur coined a new term datalogy for data science. Data science is a multidisciplinary science used to create conclusions by using certain algorithms or scientific technique to quote knowledge insights from raw data. Initially, data science was considered as a skill for a computer techie but now it has become a mandatory skill as all the industrial sectors are zeroing on data transformation. Data science is deploying the doors for all the sectors from aeronautics to deep-sea plate’s interventions, industrial processes to human DNA database, complex mathematical calculations to simple child games and animals to microorganisms, etc.   

3. The demand for a data handler

In the era of data transformation where all the sectors start utilizing data as a strength the requirements of data analysts, specialists and scientists are increasing. Data analyst or specialist has become one of the most respected or sexiest jobs of the current decade. In the retro period when we were using small data sets for calculations and computations while at now we have stepped into the world of big data. Thus storage, handling, mining and analysis all have become crucial factors. All sorts of data mining and handling can-not be started on low data maturity point because we have lots of ethical issues so we require proper data tackling skills to develop a sustainable data-efficient environment for the cumulative benefits. According to a study, around 88% of the data analysts or scientists are at least a Master’s and 46% are having Ph.Ds.

It is an undeniable fact that world gas becomes a digital global web according to a study out of 7.7 billion population of the world around 4.48 billion people are using the internet. Another data says around 2.45 billion people are using Facebook and 2 billion people are using youtube. Such a large number of users generate a huge amount of data which requires a lot of advancements and skills for storage, handling, and analysis. Now we are producing data analysts on a higher rate but previously Mckinkey had predicted that by 2018 we will be facing a 50 % gap between their demand and supply.

 4. Required technical skills
 
An authentic and considerably skilled data handler or scientist must know all the processes ranging from data mining to interpretation. A data techie must know data cleansing, data analysis, data modeling, prototyping and most importantly data visualization. Data sciences demand some basic computer languages and programming for the ease of computing e.g. R programming, RDBMS analysis, SQL database handling, machine learning and artificial intelligence (A.I.), Hadoop platform, apache-spark, and most basic Python coding. 
 
R programming is one of the basic programming languages which is easy to understand and work on. It is designed in such a way that we can use it to solve almost all kinds of statistical problems we generally encounter in data science. The relational database management system is a relational database model developed in a structured matrix which makes it easy to work as it defines the data into rows and columns which are known as entity and tuples. Many RDBMS systems offer the use of SQL for maintaining the database. SQL refers to the structured query language which is a domain-specific data management or retrieval language which is used describing and accessing the data in the relational database, allows the users to create, and drop databases and set permissions on their use and define, store, view and manipulate the data. Machine learning has become the world’s most influential technology which is still greek and Latin to a lot of data scientists. It is artificial intelligence (A.I.) tool that works on developing computer programs in such a way so that they can learn and work accordingly without human assistance and interventions. Machine learning is a faster and most accurate language which can carry a humongous amount of data. Cognitive approaches have proved that combining machine learning with artificial intelligence makes it more effective and efficient. Hadoop platform plays a different kind of role whenever we stuck with some low memory issue which generally occurs when we work on the large volume of data. In such cases, the Hadoop platform transfers the data to other computers or servers. Other than this it is also useful in exploration, filtration, sampling, and summarization of data. Apache spark is a unified open-source cluster computing framework which is the advanced version of the Hadoop platform because it works similarly to Hadoop but in a better way. Apache Spark is faster to Hadoop and caches its memory. Its major advantage is that it prevents data loss during processing so it is getting more attention in the big data industry. Python is the most common, interpreted and general-purpose programming language which is widely accepted due to its versatility. In python, we can solve almost all the problems we face in data science and besides it importing data from SQL into our code is also easy here. 
 
All the above tools or skills are required for a data or a big data handler to work effectively in order to utilize the raw data provided. 
 

5. Required non-technical skills

Computer science and data science techie are generally equipped with a lot of languages, tools, and statistical techniques but in contrast to all these technical skills, some major non-technical skill is also required which are intellectual and inquisitive demeanor, business insight, teamwork and communication skills.   

Inquisitive demeanor is the intellectual property of instinct of a person which directly related to the curiosity and creativity of the same. For example, you are having a large set of data but you are not able to identify how to mine it for getting something new which solely depends upon your acumen and intellect. Business insight is also required because being a data analyst you must know the problems your company dealing with and that knowledge will draw your attention towards its solution not only to increase the business of the company but also to increase the understanding of the problem. Teamwork is one of the most common soft skills required in almost all kinds of jobs but in data sciences, it has become more specific because as a data scientist you can’t work alone. A data scientist needs to work with customers, server developers, product designers, and advertisement persons, etc. to analyze the demand, economy and brand value of the company. A data scientist is required to be connected to almost all the hierarchy from planning to customers for giving better facts. After collecting, cleaning, analyzing the data set one must interpret the results in an easily understandable way so that everyone can understand and grasp the knowledge he wants to impart. So, good communication skills are required for communicating the results in a better way.   

6. Ethical issues
 
We are living in the digital global era and all of us are enjoying online shopping, online meal ordering, and online railway reservations, etc. but like all, it has increased the luxury and comfort on another hand it has also created a dash in the privacy and security somewhere. We are witnessing a large number of online frauds, hackings, and other misconducts that are occurring because fraudsters can easily access some of our data online or by the third party.
 
7. Conclusion 
 
Data is the widest term and working on data for making more abstract information and mining the knowledge is its data. Extracting this information from raw data is the major work of data analysts or data scientists. A lot of languages, tools, and algorithms are being used by the data handlers so it requires several technical and non-technical skills. Data science has numerous advantages so it is gaining popularity at a rapid pace but also has some disadvantages too. Although as far as India is concern some of the disadvantages are nullified bypassing the right to privacy and covering aadhar with multiple layer security but still a lot is to be done. Data scientists are working on it hopefully will cope up with the flaws soon.