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Importance Of Building Data Analytics For Enterprises In Today’s World

Data is everywhere and all the things you do create new data. All kinds of electronic messages that you send or receive and even visiting a website contributes to data storage. And this is why data is amongst the most valuable commodity. Big Data refers to the voluminous and vast data sets that can be unstructured or structured.

Data Analytics is examining raw figures and facts to obtain valuable insights from it. Currently, #Data Analytics for business is being used with Big Data in most of the industries. The concept of Big Data has been there for several years now and many firms have realized with time that if they are able to capture relevant data into the business, the companies can easily apply analytics and derive important value out of them. However, some businesses choose to avail services of Big Data Analytics companies because they may not have enough funds or expertise.

Why Does Business Need Data Analytics?

Data is increasing aggressively every day. Data generation happens through many industries, businesses, and users. So, the future of Big Data Analytics is more challenging. Also, amalgamating the data which has been generated via businesses is crucial because if the data gets wasted, valuable information would be lost.

In the past, processing the data needed skilled analysts but now, tools are employed for high-speed data processing, which helps in incorporating Data Analytics during decision-making times. Big Data Analytics is important because it helps in tackling the data and using it to discover new opportunities. As a result, higher profits, smarter business moves, happy customers, and efficient operations are seen.

Once a business adopts a data analysis method, it can analyze the causes of specific events on the basis of data, understand directives and objectives, and have technical insights using a simple language. A business should build Data Analytics due to the following reasons.


Data Analytics gives a rough idea about future trends in customer behavior that will allow you to create futuristic inventions of the products. This way, your business can make products and make services that make you stand ahead in the competition in your industry. Also, with these innovations, your business can maintain a high position in the industry. You can also patent those innovations and yield the best out of them while also accumulating high amounts of profits. You can accordingly carry out your enterprise app development as well.

Read Also – Data Analytics vs. Big Data vs. Data Science – A detailed comparison


Segmentation includes dividing the customer data on the basis of shopping habits, product usage, location, age, gender, etc. This information can help you in creating messages that resonate will all the segments individually. Whether it is the people belonging to the demographic group, staying in a specific area, or demonstrating interest in a particular activity or hobby, you can customize your marketing to directly appeal for their individual interests and needs.

Through segmentation, you can also assess which groups are highly profitable for your business, letting you identify your best customer segments as well as avoid wasting money on the segments that would not yield conversion. Many companies have begun assigning ratings to the customers using CLV (customer lifetime value), which determines the worth of the customer for the company as compared to other customers. Knowing which customers you should focus on as well as invest in is important for maximizing your profit.

Product Development

For being competitive in the customer-centric market, your business’s service or product needs to be customized according to the customer. Collecting data from surveys or from using A/B testing in order to experiment with disparate approaches can be a great way to ascertain what works and what does not. You can use the customer feedback to enhance your product’s quality or perform your enterprise app development and identify the right opportunities for innovation which will distinguish you from your competition.

Read Also – How Big Data Analytics Can Create a Billion-Dollar Mobile App UX?

Supports Agility

It has become very important for your business to be agile in this dynamic market. As acquiring new consumers gets increasingly complex, more companies are funneling their resources towards keeping the current customers engaged instead of finding new ones.

And this is not an easy part because successful customer retention implies constantly adopting the changing needs of the customers, anticipating problems, providing solutions, and then being able to adjust your strategy quickly according to it. But if businesses use the services of efficient Big Data Analytics companies, this entire process becomes easier because of the efficient use of Data Analytics.

Operational Efficiency

Through Data Analytics for business, companies can identify potential opportunities to maximize their profits and streamline operations. It helps find potential problems, remove the procedure of waiting for those problems to take place, and then take relevant actions. This allows the companies to know which operations have reaped the best results under varying conditions and find which operational are is error-prone as well as needs to be improved.

Read Also – How to Build Successful Mobile Apps using Big Data?

Saves Money

If you know what the customers know beforehand, you can make your marketing campaigns highly customer-oriented. This enables a business to customize its advertisements for targeting a particular segment of its customer base and yield better results. So, it saves the business’s money they would otherwise spend on advertising to their entire customer base.

For example, if a skincare brand wants to introduce an age-reverse serum meant for women above 50 years of age, advertising the serum to women in their 20s would not yield them many profits. So, through Data Analytics, the brand can reach its potential customers only.

Better Decision Making

When it comes to decision making, analytics and data are invaluable, as they provide insights about whether the business is moving in the right direction or not. It helps find market needs and trends while finding why a particular product is doing well while others are not.

Such data can aid in taking vital decisions including pricing policies, market expansion, customer care, widening its product range, etc. A business that takes decisions on the basis of Data Analytics usually enjoys an upper hand over its competitors. This is because instead of ambiguous information and guesswork, it can base the decisions on real and genuine data.

Summing Up

The future of Big Data Analytics is extremely wide and important. Big Data is increasing exponentially each day and if it is interpreted correctly, it can prove to be a blessing for the business. If the business is able to understand and interpret data rightly, it can exercise numerous benefits like better decision making, innovation, product development, targeted advertising, and improved operational efficiency. As a result, a lot of money can be saved. This is why Data Analytics for business is highly crucial.

How Big Data Analytics Can Create a Billion-Dollar Mobile App UX?

In the past couple of years, there has been a constant evolution of the technical aspects of the procedures of app development, and this has also been instrumental in bringing a major change in the non-technical side of it. And, big data needs to be thanked for all these changes.

There is nothing new about the fact that more and more people use multiple mobile apps at present, which is exactly what makes it a possible multibillion-dollar business in the future. And, for you to make sure that the apps help you earn the billions, you need to deliver the best possible user experience. The role of big data is undeniable in that regard.

With the modern smartphone users generating a huge volume of data on a daily basis, it gives developers a chance to make better mobile apps through improved Mobile App UX. The apps developed this way not only meet users’ expectations to the optimum, but also help businesses earn the bucks that they were aiming for.

So, how can big Data Analytics for Mobile Applications assure a major breakthrough in user experience? How does it help in creating that billion-dollar mobile application UX? Read on to find out the answers to all that.

The value of user experience in building the finest mobile application

What makes an app truly amazing? Of course, it has to be fast, attractive, and easy to use, but most importantly, it has to make sure that the users’ needs are met to the optimum. This is the reason why it is important to study user experience in as much detail as possible. After all, it helps the developers come up with better mobile apps because they get a clear and precise idea about what the user looks for in an app.

Think of user experience as this rich source of information that helps in identifying the right ideas needed to build new apps. Analyzing the ways in which the users interact with the mobile apps and their actions at the time of using it help the Mobile App Development Companies to pinpoint the solutions that can help in improving and upgrading the existing apps, along with garnering enough user-based ideas for the new applications they come up with.

Read Also –  How to Build Successful Mobile Apps using Big Data?

Detailed analysis of user experience through big data

As already mentioned before, developing a mobile app requires a thorough analysis of the users’ experience and understanding it deeply. Big data comes as a blessing in that regard because it covers all that you need to know about users’ experience using a mobile app. It gives you a precise idea about the important pain and focuses points present in the users’ experience.

As the entirety of crucial analysis gets completed, knowing the collective preferences of the users can help in establishing a complete list of wants and needs that the users have in terms of a mobile application.

Furthermore, it can be of huge help to the developers in terms of the new ideas and apps that they are coming up with. Analyzing big data related to the other top apps that belong to the same niche as the new one, the app developers can improve their latest creations. They can find out new and improved ways to make sure that their new apps are more in line with the expectations and needs of the users.

Read Also – How Artificial Intelligence is Driving Mobile App Personalization?

Let’s understand it further with the example of fitness apps. Building a great fitness app leads the developers to go through the other popular applications in this particular niche, like Fitstar, Runkeeper, or Argus, and find out exactly what works for these apps, and what makes users prefer these apps over the other.

Now, a detailed analysis reveals that there are features like a calorie counter, pedometers, along with many other unique aspects that make these apps gain an edge over those other in the market. So, now the mobile app developer understands the features that he can include in his new app, and the already popular features that he can do better. You can guess how big data analytics helps you in edging past the competition.

Understanding the use of big data for mobile app UX

Big data is helpful in delivering a complete user experience because it is larger than life. The amount of data that users generate has already moved way past the petabyte level into the zettabyte level, and even then it continues to increase at a brisk rate every single day.

In the next couple of years, the amount of data stored all over the globe is expected to reach yottabyte levels. In fact, it will not be an exaggeration to say that the volume of unstructured data made only in the last couple of years has gone way over the total amounts of data that was produced right before it.

In this situation, it is important for high-end analytics to come into the picture if these massive amounts of important data have to be put to good use. But, the efforts definitely make a lot of sense because it can make relevant data, which can be utilized for maximizing the success of present applications and developing more effective and inventive new apps.

Read Also –  Reasons Why Everybody is Using Cloud Mobile Apps

Big data: the recipe for the multibillion-dollar app industry

Going by the recent studies, the mobile app market has already hit the 365 billion US dollar mark, and it is expected to go up to over 935 billion US dollars by the year 2023. This is no surprise given the fact that most of the global users have completely transitioned from desktops to smartphones and tablets. In this situation, creating better mobile apps is clearly the next important step in the world of digital development.

The thing is computer apps are not as volatile as mobile apps. The mobile applications are much more inclined to be simplistic in their displays and features. Thus, it is of absolute importance that those specific but simple features catch the attention of the users.Big data analytics comes here as the finest way of collecting this kind of accurate and relevant information, which is slated to make big data just the ingredient you need for creating a billion-dollar mobile app UX.

Thus, it is clearly understood that the future of mobile apps goes hand-in-hand with big data. The analytical specialists come up with new and improved strategies for better interpretation of the massive amounts of unstructured data for discovering the important features of the next generation of applications. With that, more and more apps will end up being perfectly in sync with users’ expectations.

Summing up

Of course, one cannot know everything going on in the users’ minds, but one can know enough using the data that is available. It will not only help in improving the apps you have delivered already but also help you with the apps that are still in the process of being developed.

It is all about taking advantage of this huge storehouse of information in front of you and delivering the finest user experience. And, big data can be just the tool you need in this regard to propel you into that billion-dollar club.