WHY IS BIG DATA VISUALIZATION A BUSINESS NECESSITY?

WHY IS BIG DATA VISUALIZATION A BUSINESS NECESSITY?

In this data-driven era, every organization is generating humongous data in every minute. Sometimes, the organizations face difficulties because they can’t make any fruitful business decision from these raw and uncouth data. Here comes, data analytics which gives actionable conclusions to the businesses from these captured data. But even the best analytics programs couldn’t solve the purpose if the users are unable to interpret and act upon the data which is being presented. The best solution to this problem is the big data visualization.

Let’s take a look at what is data visualization

Data visualization

Big data visualization is a process which converts a large amount of analysed data into an easy-to-comprehend visual format so that the users can easily understand them. Big data visualization tools usually present the complex and intricate data into graphs, charts, tables, diagrams, and other visuals so that the users can easily grasp the information quickly and can take necessary actions. It is true that the visual context for data is very important in the field of data analytics. But why so? This is because 90% of data that your brain processes are visual and images are processed 60,000 faster than text. It is the nature of human being that they can easily digest visual information as compared to the text.

Data visualization can be two type static and interactive. The static visualizations are like the charts, maps, etc. which people are using for a long time. While on the other hand, the interactive visualization is newer. It helps people to know more details about these graphs and charts with the help of the mobile devices and computers and then, interactively change which data they see and how it will be processed.

Data visualization used by the companies

Companies across the globe need to deal with the massive data sets from multifarious sources if they want to proliferate their growth and success in this data-driven world. But it would be a daunting job for them to extract some meaningful information from the puzzling array of information. Thus, the companies which are into data visualization, are ready to help other organizations to overcome this challenge with the new and advanced data visualization tools that are crammed with all the features of data visualization. Below, we are mentioning the name of top 5 data visualization solution provider.

1. IBM
2. Oracle
3. SAS
4. SAP
5. Microsoft

Data visualization tools

Some of the prominent data visualization tools are

1. Tableau: This is a perfect data visualization tool for the corporates. It helps you to create charts, graphs, maps, and other graphics. The companies that are using Tableau are Pandora, Barclays, and Citrix.

2. Infogram: This tool usually links their visualizations and infographics to real-time big data. You need to choose a template among many templates and then you can personalize it with charts, map. Images, and even videos.

3. ChartBlocks: This is another easy-to-use tool which requires no coding and builds visualization from spreadsheets, databases, and live feeds.

4. Datawrapper: Here also a coding is not required. You can upload your data and can create and publish a chart or a map. This tool is used by the companies like Washington Post, The Wall Street Journal, BuzzFeed, etc.

5. Plotly: This tool helps you to create slick and sharp chart within a few minutes. This tool is used by Google, The New York University, Air Force, Goji, etc.

Apart from the above-mentioned tools, some other popular data visualization tools are RAW, Visual.ly, D3js, Ember Charts, NVD3, etc.

The importance or the benefits of Data visualization

The core benefit of data visualization is that it helps the decision makers to comprehend the large data sets in a better way and thus, helps them to take some meaningful decisions for the betterment of the businesses. But data visualization offers a chunk of benefits apart from this. Let’s unravel some of the powerful benefits of data visualization.

1. It can process a large number of data sets quickly: Big data is a buzzing word in these days. Now, the data has been captured, organized, and analysed by every organization. Since too much raw data are stockpiled and thus, it becomes a formidable job for an average human being to make some conclusions from these raw and uncouth data. But fortunately, big data visualization omits all the lengthy process of data comprehension and it makes possible for users to digest large and complex data stores at a glance. With the help of interactive and visually-presented dashboards, big data visualization makes the entire process much simple and facile.

2. Access all important and relevant data in real time: As the technology is evolving day by day, so you also need to adopt the new technology to stay competitive in this era. If you are using the old traditional methods of collating to refine the vast amount of data sets, then certainly you will be out from the competition. While on the other hand, all the big data visualization tools operate in real time and constantly update the information which is being presented. This will help a user to access the information at any real time. In 2013, a study conducted by Aberdeen group has claimed that managers who use data visualization tools are 28 percent more likely to find information that is timely.

3. Helps to understand data in a better way: Interactive visualization tools make data visualization process beyond the use of simple graphs, charts, and maps. These tools help the users to see more than the numbers and stats and help them to understand data in a better way. With the help of these tools, the users can delve the deeper causes and identify the issues which they need to improve. If they can identify the causes and issues, then they will certainly take better decisions which can boost their growth and profitability.

4. Helps them to discover the hidden relationship between the business process and performance: A few business leaders still argue that the daily business processes and operational activities of an organization have a direct impact on overall business performance. According to them, it would be an arduous job to see how exactly these activities are affecting the success of a company. But if you have big data visualization tools with you, then you don’t need to worry about this. Because these tools allow the leaders to unravel the hidden relationships that connect the day-to-day processes of a company with its performance.

5. Tells a story through data: Every human being prefers information linearly which means they prefer to see the causes, effects, and solutions such a way in a line so that it can convey a story to them. Data visualization does the same thing by presenting data in a visually centred way. This helps the users to comprehend data in a better way and also helps them to take some strong and data-oriented decisions.

Apart from the above-mentioned benefits, data visualization can also

1. Identifies the weak areas of business that need special attention or improvement.

2. Clarifies which factors influence behaviour of the customers.

3. Helps you understand which products you need to place where.

4. Predict your sales volumes and business growth

Big data visualization examples

Now, we are going to mention some of the captivating examples of big data visualization.

1. Weather around the world: Ventusky is a meteorological data visualization which tells you what would be the weather condition in different places across the globe.

 Weather around the world

2. Gay marriage status in the USA: From the New York Times, this visual clearly describes the changing legislation regarding same-sex marriages (gay marriage) across the United States.

Gay marriage status in the USA

3. Most frequently requested skills in job advertisements: NESTA gives an interesting look at the most sought-after skills for work. They divided the entire job industries into three parts and they are digital tech, creative, and other industries.

Most frequently requested skills in job advertisements:

4. Country to country immigration from 2010 to 2015: This visual depicts the net immigration from 5 years between 2010 to 2015.

Country to country immigration from 2010 to 2015

5. Languages in the world: This interactive visual by DensityDesign is very impressive as it introduces the non-linguist to the many world languages — all 2,678 of them. This visual allows you to explore the common languages families and thus, you can see which languages are most spoken. You can also get an idea which languages are spoken mostly around the world. This is a perfect example of visual storytelling.

Languages in the world:

Data visualization challenges

Big data visualization is the key to the success of a business. It helps you to dig more insights of your data so that you can take some robust and healthy data-driven decisions for your business. Though the benefits of data visualization are fathomless, still an organization needs to overcome certain challenges if they want to get benefitted by data visualization. Here, are some challenges that should be addressed.

1. Need to employ visualization specialists: though most of the data visualization tools are designed in such a way that they can easily be operated by anyone. Still, if you want to extract more accurate information from these tools, you need to hire a specialist who has a vast knowledge of data visualization.

2. Hardware resources: Data visualization is a computing task which means you need powerful computer hardware, fast storage systems, or even a move to cloud. So, if you want the best results from data visualization, make sure you have all the resources.

3. Data quality: The insights that you will get from data visualization are only as accurate as the data that is being visualized: if it is inappropriate, then the value of any insights is questionable. So, if you don’t want to compromise data quality, make sure that every process like managing corporate data, metadata, data sources, and data cleaning are performed properly before storage.

Hope, from the article you will understand what is data visualization and why it has become a necessity for the businesses. So, you should incorporate data visualization into your business strategy, if you want to establish your ubiquitous presence in today’s world.

Norjimm is a leading software outsourcing company India offering all kinds of web application development and mobile app development services.  We are known for our innovative and future preparatory approach that we follow. Get in touch with us today to get the best software and app development services.

THE COMPLETE LIST OF BIG DATA TOOLS TO UNCOVER BUSINESS INSIGHTS

Big Data Tools

In today’s world, big data is much more than a buzzword. It is basically a market that is characterized by data which is known for its volume, variability and velocity. Companies around the world are putting the ceaseless effort in order to explore its potential. According to the report published by the research firm DC, big data technology and services will grow near about 23 percent through 2019. That’s how big data technology and services are being accepted worldwide and the companies are levering this technology so that they can achieve their desired results and uncover business insights.

Nowadays, the markets are flooded with an array of big data analytics tools and data analytics software. These modern data analytics tools in big data bring cost efficiency, better time management into the data analytical tasks. Here, we are mentioning some imperative big data analytics tools which every company should use so that they can get better business insights.

Hadoop: This is an astounding product from Apache which has been used by many eminent companies. Hadoop is basically an open-source software framework which is written in Java language so that it can work with a chunk of data sets. It is designed in such a way so that it can scale up from a single server to hundreds of machines. The most prominent feature of this advanced software library is superior processing of voluminous data sets. This tool brings flexibility and offers robust ecosystem.

Cassandra: This is the most applauded and widely used big data tool because it offers an effective management of large and intricate amounts of data. This is a database which offers high availability and scalability without affecting the performance of commodity hardware and cloud infrastructure. Cassandra has a chunk of advantages and some of those are fault tolerance, decentralization, durability, performance, professional support, elasticity, and scalability. This tool is suitable for applications because it can’t afford to lose data.Companies that are employing Cassandra big data analytics tool are eBay and Netflix.

R language: R is an open source programming language which helps the organizations to manage and analyze a chunk of data effectively and aptly. The language was initially written by Ross Ihaka and Robert Gentleman but it has got immense appreciation from the mathematicians, statisticians, data scientists and data miners who are in the field of data analytics. R is packed with a host of data analysis tools which make the analysis of data more facile and simpler for the users. With R, businesses don’t need to develop the customized tools and moreover, they can easily get rid of the time-consuming codes. R is the prime data analysis software which consists of innumerable algorithms that are designed for data retrieval, processing, analysis and high-end statistical graphics representations.

Knime: Knime is a leading analytics platform which provides an open solution for data-driven innovation. With the help of this tool, you can discover the hidden potential of your data, mine for fresh insights, and can predict new futures by analyzing the data. With nearly 1000 modules, hundreds of ready-to-run examples, a complete range of integrated tools, and a chunk of advanced algorithms available, this Knime analytics platform is certainly the best toolbox for any data scientist who wants to accomplish his job in a hassle-free way. This tool can support any type of data like XML, JSON, Images, documents, and more. This tool also possesses advanced predictive and machine learning algorithms.

OpenRefine: Are you desperately looking for a tool which will help you in managing large and voluminous data sets? Then this tool is ideal for you which helps you to explore huge and baggy data sets easily. OpenRefine helps to organize the data in the database that was nothing but a mess and muddle. This tool helps you in cleaning and transforming data from one format into another. This data tool can also be used to link and extend your datasets with web services and other peripheral data. Earlier, OpenRefine is known as Google Refine but from 2012, Google didn’t support this project and it was then rebranded to OpenRefine.

Pentaho: This big data analytics tool is ideal for data extract, prepare and blending data. This tool offers visualizations and analytics which can change the way a company runs its business. It allows data analysis with easy access to analytics, including charts, reporting, and visualizations. This tool is open, embedded and extensible. With the help of this tool, from developers to users can translate data into value.

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Storm: The popularity of Storm is simply outstanding over the past few years because of its superior streaming data processing capabilities in real time. You can even integrate this tool with many other tools like Apache Slider in order to manage and secure your data. Storm can be used by an organization in many cases like data monetization, cybersecurity analytics, detection of a threat, operational dashboards, real-time customer management, etc.

Orange: Orange is an open source data visualization and data analysis tool which can be used by both novice and sagacious persons in the field of data analytics. This tool provides interactive workflows with a large toolbox. With the help of this toolbox, you can create interactive workflows to analyze and visualize data. Orange is crammed many different visualizations like from scatter plots, bar charts, trees, to dendrograms, networks and heat maps, you can find everything in this tool.

Cloudera: Though this tool is developed in 2008, this is a very useful and supporter of Apache Hadoop. Cloudera is the fastest, easiest and highly secure data analytics tool. Some of the core features of this tool are high-performance analytics, self-servicing business intelligence, gives real-time insights for monitoring and detection. This tool is also used for developing and training data models. This modern data analytics tool is ideal for creating a data repository which can be used by the business houses that need data for multiple purposes.

Wolfram Alpha: This reputed tool will give you every minute detail of your data. This famous tool was developed by Wolfram alpha LLC which is a subsidiary of Wolfram Research. If you want to do advanced research on financial, historical, social, and other professional areas, then you must use this platform. Suppose, if you type Microsoft, then you will receive miscellaneous information including input interpretation, fundamentals, financials, new trade, price, performance comparisons, data return analysis, and much more relevant information.

Hive: Hive is also an open source software big data tool. This tool allows programmers in analyzing large and voluminous data sets on Hadoop. The core features of this tool are supports SQL like query language, complies language with map and reducer, offers Java Database Connectivity interface, etc. Hive is specially designed for managing and querying structured or organized data.

Node XL: This is a data visualization and analysis software tool for relationships and networks. This tool offers exact calculations to the users. You will be glad to know that it is a free and open-source network analysis and visualization software tool which has a wide range of application. This tool is considered as one of the best and latest statistical tools for data analysis which gives advanced network metrics, automation, access to social media network data importers, and many more things.

Plotly: As a successful big data analytics tool, Plotly has been used to create great dynamic visualization even the organization has inadequate time or skills for meeting big data needs. With the help of this tool, you can create stunning and informative graphics very effortlessly. Basically, Plotly is used for composing, editing, and sharing interactive data visualization via web.

Kaggle: is the new-fangled tool in the community of big data. This tool helps businesses to post their data and statistics effectively. The features of this tool are it can analyze open data formats, finds open data sets using the search box, contribute to open data movement, and effectively connects with other data tools.

These are the big data tools which will help you to analyze your data so that you can get deeper insights of your businesses. There are many big data analytics company like Norjimm in the market who can effectively analyze your business data and will help you in making better decisions from those data.

Norjimm is a leading big data analytics company based in India. We also offer all kinds of web application development and mobile app development services. As a expertize in this field, we help in converting data into enterprise assets, with powerful infrastructure, integrating databases that power the applications for analytics, and the intelligence built in for informed decision-making for your company.

 

 

A COMPLETE LIST OF BIG DATA ANALYTICS TOOLS TO MASTER IN 2018

Big data analytics tools

In this new era of enterprise computing, big data is not an option for a company rather it is becoming mandatory for every business. With digital content rising hastily, many enterprises are climbing the bandwagon of big data to stay up to date with this new technology. If you are running any brick and mortar shop or managing a company, data will always help you to take better decisions.

Nowadays, the companies are churning out a massive volume of data by their day to day activities. From your customers’ behavior, you can get to know about their preference, how much they are using your products or services, payment methods and many more things. Hence, the companies are focusing on big data management which will provide them with bigger and wider insights so that they can improve their business goals on the basis of these insights.

Big data plays an imperative role in your analytics. If you are blessed with the advanced big data tools and techniques, then you can easily manage the unstructured and unpolished data and can extract meaningful information from them. 87% of companies believe that big data analytics will help them in reshaping their business within the next three years and 89% believe that if they do not adopt big data analytics, then they will lose the competition.

Below, we are mentioning some of the prominent big data analytics tools and techniques that are used by analytics developers.

Cassandra: This is the most applauded and widely used big data tool because it offers an effective management of large and intricate amounts of data. This is a database which offers high availability and scalability without affecting the performance of commodity hardware and cloud infrastructure. Cassandra has many advantages and some of those are fault tolerance, decentralization, durability, performance, professional support, elasticity, and scalability. Since this tool has so many qualities hence it is loved by all the analytics developers. Companies which are using Cassandra big data analytics tool are eBay and Netflix.

Hadoop: This is a striking product from Apache which has been used by many eminent companies. Hadoop is basically an open-source software framework which is written in Java language so that it can work with a chunk of data sets. It is designed in such a way so that it can scale up from a single server to hundreds of machines. The most prominent feature of this advanced software library is superior processing of voluminous data sets. Many companies choose big data tool Hadoop because of its great processing capabilities. With this tool, the developer provides regular updates and improvements to the product.

Knime: This is a big data analytics open source data tool. Knime is a leading analytics platform which provides an open solution for data-driven innovation. With the help of this tool, you can discover the hidden potential of your data, mine for fresh insights, and can predict new futures by analysing the data. With nearly 1000 modules, hundreds of ready-to-run examples, a complete range of integrated tools, and a chunk of advanced algorithms available, this Knime analytics platform is certainly the best toolbox for any data scientist who wants to accomplish his job in a hassle-free way. This tool can support any type of data like XML, JSON, Images, documents, and more. This tool also possesses advanced predictive and machine learning algorithms.

OpenRefine: Are you stuck up with large and voluminous data sets? Then this tool is ideal for you which helps you to explore huge and baggy data sets easily. Basically, OpenRefine helps to organize the data in the database that was nothing but a mess and muddle. This tool helps you in cleaning and transforming data from one format into another. This data tool can also be used to link and extend your datasets with web services and other peripheral data. Earlier, OpenRefine is known as Google Refine but from 2012, Google didn’t support this project and it was then rebranded to OpenRefine.

R language: R is an open source programming language which helps the organizations to manage and analyse a chunk of data effectively and aptly. The language was initially written by Ross Ihaka and Robert Gentleman but it has got immense appreciation from the mathematicians, statisticians, data scientists and data miners who are in the field of data analytics. R is packed with a host of data analysis tools which make the analysis of data more facile and simpler for the users. With R, businesses don’t need to develop the customized tools and moreover, they can easily get rid of the time-consuming codes. R is the prime data analysis software which consists of innumerable algorithms that are designed for data retrieval, processing, analysis and high-end statistical graphics representations.

Plotly: As a successful big data analytics tool, Plotly has been used to create great dynamic visualization even the organization has inadequate time or skills for meeting big data needs. With the help of this tool, you can create stunning and informative graphics very effortlessly. Basically, Plotly is used for composing, editing, and sharing interactive data visualization via web.

Bokeh: This tool has many resemblances with Plotly. This tool is very effective and useful if you want to create easy and informative visualizations. Bokeh is a Python interactive visualization library which helps you in creating astounding and meaningful visual presentation of data in the web browsers. Thus, this tool is widely used by big data analytics experienced persons to create interactive data applications, dashboards, and plots quickly and easily. Many data analytics experts claimed that Bokeh is the most progressive and effective visual data representation tool.

Neo4j: Neo4j is one of the leading big data analytics tools as it takes the big data business to the next level. Neo4j is a graph database management system which is developed by Neo4j Inc. This tool helps to work with the connections between them. The connections between the data drive modern intelligent applications, and Neo4j is the tool that transforms these connections to gain competitive advantage. As per DB-Engines ranking, Neo4j is the most popular graph database.

Rapidminer: This is certainly one of the favourite tools for all the data specialists. Like Knime, this is also an open source data science platform which operates through visual programming. This tool has the capability of manipulating, analysing, modeling and integrating the data into business processes. RapidMiner helps data science teams to become more productive by giving an open source platform for data preparation, model deployment, and machine learning. Its unified data science platform accelerates the building of complete analytical workflows. From data preparation to machine learning to model deployment, everything can be done under a single environment. This actually enhances the efficiency and lessens the time for various data science projects.

Wolfram Alpha: If you want to do something new from your data, then this could be an ideal tool for you. This will give you every minute detail of your data. This famous tool was developed by Wolfram alpha LLC which is a subsidiary of Wolfram Research. If you want to do advanced research on financial, historical, social, and other professional areas, then you must use this platform. Suppose, if you type Microsoft, then you will receive miscellaneous information including input interpretation, fundamentals, financials, new trade, price, performance comparisons, data return analysis, and much more relevant information.

Orange: Orange is an open source data visualization and data analysis tool which can be used by both novice and sagacious persons in the field of data analytics. This tool provides interactive workflows with a large toolbox. With the help of this toolbox, you can create interactive workflows to analyse and visualize data. Orange is crammed many different visualizations like from scatter plots, bar charts, trees, to dendrograms, networks and heat maps, you can find everything in this tool.

Node XL: This is a data visualization and analysis software tool for relationships and networks. This tool offers exact calculations to the users. You will be glad to know that it is a free and open-source network analysis and visualization software tool which has a wide range of application. This tool is considered as one of the best and latest statistical tools for data analysis which gives advanced network metrics, automation, access to social media network data importers, and many more things.

Storm: Storm has inscribed its name as one of the popular data analytics tools because of its superior streaming data processing capabilities in real time. You can even integrate this tool with many other tools like Apache Slider in order to manage and secure your data. Storm can be used by an organization in many cases like data monetization, cybersecurity analytics, detection of the threat, operational dashboards, real-time customer management, etc. All these functions can enhance your business growth and will give you many opportunities for the betterment of your business.

Hope, from the above-mentioned list, you got enough information regarding some of the best data analytics tools which will be ruling in the upcoming years. If you want to establish your business firmly, then enhance your knowledge of these data analytics tools.

Norjimm is one of the most popular custom software development company in India with teams having a project experience of 6+ years and with many happy clients in different parts of the world. We are known for our innovative and future preparatory approach that we follow. Get in touch with us today to get the best software and app development services.

 

7 WAYS BIG DATA ANALYTICS IS CHANGING HOTELS AND THE TRAVEL INDUSTRY

Big data

Over the past few years, big data have gained immense prominence as a distinguishing point in today’s complex, intricate, and competitive business environment. Every industry is using big data so that they can streamline and reshape their businesses and can enhance their growth and profit. Like every sector, big data is also applied in hotel and travel industry. Big data provides insights which are helping the travel companies and hotels to reduce their costs and also help them to adjust to market demands.

Every day the hotel and travel industry caters to millions of customers and each one is different from the others and has their own set of expectations. While some people are demanding and fastidious, others will do simply check in and check out with a minimum commotion. A company needs to satisfy all the customers if it wants to become a frontrunner of this era.

Moreover, the travel and hotel industry is highly competitive. Every one is implementing some robust and concrete marketing strategies in order to grab the attention of the customers. Each hotel and travel company is trying to allure the customers with some lucrative offers to incline the travellers towards them. So, in this steep competitive era, if a company or hotel want to surpass its contenders then it needs to make some stern customized marketing strategies and should try to make content all its customers. Here, comes big data analytics which helps a travel company and hotel to understand the behaviour of the customers, their likings and dislikings, expectations and also help them to identify their potential customers. Once a company or hotel is equipped with all these data, then it can easily make some customized marketing strategies which will help them to ameliorate their business and growth.

In the year 2013-14, Red Roof Inn, an eminent US hotel realized that it can enhance its business as flight cancellation rate was increased day by day, particularly in the Winter season. After doing a rigorous study they have concluded that the number of hotels which are located near major airports can enhance their growth and profitability when flight cancellation rate was nearly 3%. This meant that every day near about 90,000 passengers was being left stranded. Their marketing and analytics team worked together and identified those customers datasets who left stranded on flight cancellations during an unfavourable weather condition. Most of the customers at this time used to search a nearby accommodation by using their mobile devices. Once the hotel accumulated all the data, they launched a targeted marketing campaign to the mobile users who were affected badly due to the cancellation of the flights. This led to a 10% increase in business in areas where they prudently deployed this new strategy.

So, big data analytics is an integral part of hotel and travel industry and plays an imperative role in their growth and success. Below, are the following areas where big data analytics in the travel industry and hotel sector can play an important role.

Real-time Travel Assistance: By analyzing the travel industry data and the past behaviours of the travellers, a travel company can assist which is the best time to visit a particular place or what are the attractions and sightseeing options are there. With its previous data, a hotel can tell the guests the best nearby restaurants, the events, entertainment options for the kids or family members and many more things. The housekeeping staff of a hotel also receives real-time updates and based on that they can tell whether the guests need an extra blanket to stay comfortable in the winter nights or they need a bowl of soup at 1 a.m. Moreover, analytics helps the restaurant department of a hotel to predict which food items are likely to be ordered in a particular weather.

Better Marketing Strategy: By processing individual customer information through data analytics, a hotel and travel company can make their marketing strategies. Does your guest visit your hotel’s spa every time when she stays at your hotel? If not, give her a complimentary spa treatment while she goes for a multi-night booking. By tracking and analysing your customer’s behaviour and actions, you can embrace them with personalized offers which will make them more intriguing. If you are running a tour company and a person tours frequently with your company, then give him a personal touch. In his next tour, give him one extra night in the hotel without any cost. Send a personalized email to your client mentioning that “We know you are our loyal customer, so when you visit next week, we are giving you one-night complimentary stay at the hotel”. In this way, you can go for some personalized marketing strategies which will boost your businesses and growth.

Better Pricing: Big data analytics also helps the hotels to maintain an optimum price of their rooms in an offseason. It won’t be a prudent decision for you if you charge a higher price for a room in off time because it may not be sold. Similarly, during the pick season, holiday time or special events time, you can easily increase the price of the rooms because the demand is quite high at this time. So, you can keep your price higher than the normal. Hotels like Marriott, Starwood Hotels, etc. are investing a chunk of money in data analytics so that they can decide the price for their rooms depending on the occupancy rate. Marriott is using GPO (Group Pricing Optimizer) to decide the rate of the rooms for group inquiries.

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Generating Sense From Customer Ratings And Recommendations: These days customers are very active as compared to the older time and they ardently participate to the social media sites and blogs and give feedback, reviews, and ratings of the hotels and travel companies. The data that are captured and analyzed by hotel analytics software will ensure that the hotel and travel industry get a better insight of the customers and take appropriate actions based on that. Thus, predictive analytics in the travel industry will help you to determine a pattern based on observing customer’s behaviour. You can get an idea how much a customer is spending on what items, what he wants to buy and how much he can afford and what are the best channels ( web, mobile, e-mail) by which you can reach him. In this way, hospitality data analytics can remove the guesswork and help to reach your potential customers. Denihan, a prodigious US hospitality group uses IBM’s analytics and stockpiled massive amounts of information from the customer feedback. They have an adequate knowledge of room price, why the travellers choose them, their length of stay and many more imperative information. Denihan uses all these insights and created strong and effective marketing campaigns to engage customers on an individual basis.

Customer Segmentation: Data analytics also helps the travel and hospitality sector to identify their loyal and repeat customers and thus, gives them an opportunity to design special offers and benefits like personalised services, targeted messages, special offers, add-on facilities and value-added services to the customers. In this way, a hotel or travel company can strengthen their relationship with loyal customers. This will also improve their customer retention rate as the companies are now targeting the customers through personalised service offerings. Nowadays, every customer is looking for customised services so that they can feel privileged. Data science in travel industry provides enough information to the hotels and travel companies to understand the nature and preference of each of the customer. Thus, flexibility within the sector is also enhanced as companies are deploying data analytics.

Social Media Analysis: These days social media has penetrated into every sphere of life. Customers are using social media sites in various aspects like enhancing their information about the hotels, giving feedback and recommendations, participating in any discussion or events or giving any kind of suggestion to the hotel or the travel company for their betterment. By gathering all this hospitality industry data, a travel company or hotel can go for an in-depth analysis and can make customer profiling based on the information (income level, family status, age, preference, travel history, expenses, etc.). The company can use customer profiling to make an e-mail list for targeted marketing of both the current and prospective clients. Customer profiling is also important to determine which market segments are most productive and lucrative.

Better Expense Management: Running a business is not at all a facile job. A lot of expenses( infrastructure, equipment, maintenance, etc.) are required to run a hotel successfully. Any outage or breakage will not only give you a huge loss but also tarnish your reputation and brand value. Thus, big data analytics for hotels helps you to take preventive measures and take necessary steps for any break-ups and failures in advance. This will also help you to intimate your customers directly in any delay of services.

These are some instances where big data analytics in the travel industry and hotel sector help the companies to make some powerful decisions based on the insights of the customers’ data and information. Over the past few years, you have seen the astounding growth of the smartphones and internet and now, the travellers love to collect all the information about a hotel or a travel company before going outside. So, the future of big data analytics is very scintillating for travel and hotel industry and this will work wonders for these industries.

Norjimm is a fast growing Application Development Company India offering application development service implementing the latest platforms and modern design trends and techniques to enhance the accessibility and overall performance. We also provide Big Data Analytics solutions leveraging the latest Open Source analytics technology from Apache Hadoop to deliver scalable, low-latency, highly distributed platform with massive parallel processing, scale-out nature, fault tolerance, and memory management.