Big Data Analysis in the Travel Industry - In the travel industry, the utilization of big data has revolutionized the way companies operate and cater to their customers. One exemplary application lies in the realm of personalized recommendations. By analyzing vast amounts of data collected from various sources such as booking histories, travel preferences, and even social media interactions, travel companies can create highly tailored suggestions for their customers. For instance, airlines can recommend specific destinations based on a traveler's past trips and interests, while hotels can offer personalized package deals that align with individual preferences, ranging from room types to nearby attractions...
Big Data Analytics in the Banking Market - Every day, we produce huge amounts of data. Whether it is a web page we open or a transaction we make, all of these actions sum up into 2.5 quintillion bytes of data daily. Logically, such huge amounts of invaluable information can be analyzed to come to all kinds of conclusions that will be helpful in almost any industry, including the banking market. Importance of Big Data Analytics Big data analytics has numerous benefits specifically for banks. Big data analytics can give insights into many aspects of a person's life including their needs, preferences, and lifestyle. This allows banks to personalize their services to meet the needs of every individual. Moreover, big data analytics can also improve the extrapolative power of risk models that financial institutions and banks use. But this is not all. Some other benefits of big data include: A Full View On Your Business: By getting such crucial information like customer behavior patterns and internal process efficiency, you can get a full picture of what your business is and how and where it can be improved. You can even obtain broader market trends and as a result, make informed, data-driven decisions to ensure the safe and effective functioning of your business...
Big Data Analytics Solution for Cities - More than a buzzword for cities, Big Data is the term that describes the endless amounts of data created every day by a city's citizens, agencies, organizations, businesses, sensors, and machines. Understandably a city can struggle to reap the value of all this data. Without specially-trained staff or the latest analytic tools, it can be hard to easily understand the trends, patterns or relationships inside the data. The value of Big Data is realized when information is extracted from the myriad sources, combined, and interpreted to uncover insights that lead to actions that make a difference in addressing the challenges facing our cities. Cities are complex, dynamic structures. With so many moving parts, they are challenging to predict. Yet, administrations are charged with managing the infrastructure and services with a goal of building a prosperous, resilient city. One challenge is coping with contrasting areas of expansion and decline along with a diverse and changing populations. In terms of services affecting their economy, health, transportation and education are the essential services that affect anyone who lives, works, or travels in the city. All of these things are interconnected - which makes the analysis and the choice of actions more complex...
Big Data Analytics - The term Big Data usually implies a data source that has grown too large to be used with regular database tools. In the past 20 years, sheer amounts of data collected have been growing at an astonishing rate. In the past 5 years, the decrease in database storage costs has enabled more companies to use Big Data sources...
Big Data Analytics Podcast - There has been a lot of talk this year about the wonderful world of big data and big data analytics. What is driving big data today? When we talk about big data, we’re often talking about volumes of data, and what is driving that tremendous increase in volume. I’ve heard people call it tsunami of data that is now. Things that are driving that volume are a lot of new channels or new sources of data coming into the enterprise. This includes digital data, data like click stream traffic, things like mobile applications. It also includes a lot of sensor data that is coming off our vehicles or coming off of production lines. All of these news sources of data are generating not only large volumes of data. To be honest database companies have solved the issue of large volumes of data for some time now. What we’re talking about now is how do we solve some of the new challenges around big data analytics. That includes both being able to take in these news sources of data, which are not well structured...
Big Data Becomes Fast and Approachable - So what are the top 10 trends we expect to see this year around Big Data? That's what we will get into now. So, the first trend that we will go through is, Big Data becomes fast and approachable. Options expand to speed up Hadoop, and I'll hand things over to Larry to first give us some commentary on this one. Larry Chiang: Thanks Abhishek, Hi everyone, so this is essentially a two part trend. The first, it is all about why Big Data has become fast and approachable right, and it all has to do with, how users have been perceiving Big Data. To give you some context, when Hadoop was invented by the folks at Yahoo the original goal was to index the internet. It was designed to be used as a batch processing engine, but you know as it evolved, people realized the power of scaled out storage, the power of processing and clustered workload management, and they forget, you know, it did make a great data analysis platform. So they started adding components that allow data to be stored and queried using common SQL tools in response to a lot of that demand...
Big Data Challenges - Solving Big data challenges is a great problem to have. When a business is confronted with corralling a massive amount of information, it means that they are encountering huge success. But like any enduring relationship, big businesses and big data do not always function together harmoniously. Right now businesses interested in employing BI to their strategy are coming up against unique data challenges posed by their great success. Now, in a scientific or engineering sense, big data can be looked at as all the information flying across the internet at any one time. Data scientists are often talking about tera- zeta- and peta-bytes, which are hundreds of millions and billions of bits of information in all file types-- from video clips, images, music, to live streaming and a whole lot more. While it is not impossible for a business to engage this type of big data, the kind of information businesses are interested in usually...
Big Data Demo - Click here to view a demo of InetSoft's flagship BI Platform, Style Intelligence. Style Intelligence is a comprehensive BI platform that is not only compatible with your Big Data sources; it has the capabilities to do more with Big Data than you thought possible. Click and see how all of your data management problems are solved though a fast, secure, flexible data integration platform that allows you to quickly adapt to changing requirements. This data integration platform allows users to access and mashup multiple data sources in real time, so that you can create dashboard and reports that seamlessly integrate Big Data with more traditional sources....
Big Data - Hadoop or Data Warehouses? - Well I think we should start with the definition what is big data. First off, there has always been big data in business, but now it’s getting a little more attention. Big data is any dataset, any one single repository of data that exceeds the capability of most analytic tools to use it. In other words it gets beyond the common business intelligence tool sets, beyond the analysis software solutions that we are all familiar with and are popular. Another way of saying it is whatever this BI tool is that we have, this big data will break it. This big data makes it hard to use that reporting tool successfully. And usually you see that in very slow response times. You try to use a data query tool, and it takes 18 hours instead of 30 minutes. That is certainly something that slows you down and makes your life difficult. Where does big data come from? Where do you see big data? Well, certainly over the years it began in the historical times, and if we look back just 10 or 20 years, and it was really all the transaction details and the call detail records. And still these applications are producing huge datasets and huge amounts of data for some of our clients...
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Big Data Has Been Around - If Big Data in a way has been around for a long time, why is it such a hot topic now? Well, it’s part of the emerging technology research that we are doing now, and it's really showing a cycle. The cycle is the business demands to do something more quickly and cheaply. They want to deal with all of this information and get some value out of it. And there will be technologies that allow you to do that, but probably they aren’t as affordable as they could be, and that will go on for a long time. So predictive analytics has been doing it for a long time. Massively parallel processing has been around for long time. All of these things have been around. But something will come along that makes it cheaper, and all of a sudden somebody will take advantage of that being cheaper and do something really cool. It began with Google doing their implementation and big table and all those things. Then Yahoo and Facebook and those other organizations came together and used Apache in doing the Hadoop implementation. These things slowly built on one another. Eventually, this will catch on and lot of vendors will get involved...
Big Data List - Big Data has been the hot topic in BI over the past few years. What are the Big Data sources that you should know about? Here's a list of some major names in the Big Data space...
Big Data Manipulation - Big Data is more than just a buzzword, it's a worthy foe for any visualizer, which is why Style Intelligence was designed with an emphasis on big data manipulation...
Big Data Providers - As one of the hottest topics in the last decade, Big Data has attracted more and more business intelligence companies to innovate and deliver a service that uses big data. In this race of software applications, InetSoft has kept its mark up by designing a solution that is a compliment to any Big Data source....
Big Data Software - InetSoft's Style Intelligence is a complete BI solution that enables you to harvest maximum insight from your Big Data sources. With versatile visualization capabilities and advanced analytics, your end-users can explore data relationships without getting lost in the maze of the Big Data source itself. InetSoft's solution enables the easy creation of dashboards and visualizations through a user-friendly drag-and-drop interface. Only excel-level skills are necessary to build a dashboard; no IT knowledge or manual coding are necessary. Access to this kind of visualization capability gives everyday users the ability to explore data patterns intuitively, empowering more people across your organization to explore data insights. Users can also take advantage of the special ad-hoc reporting function, to explore specific questions as needs arise...
Big Data Technologies to Improve a Company's Performance - So when you talk about what is the opportunity for big data technologies to improve a company’s performance, and what we don’t see organizations doing much of, yet, what you might call the next frontier, is not just analyze the transactions that happen from those interactions online but get a better sense of customer behavior and customer interactions that precede a transaction. The state of the art for most marketing teams today is looking at last click attribution. Whatever Web page you were on right before making a product purchase, that Web page gets a hundred percent of the credit for the marketing campaign measurement for driving that transaction. We know that is just not true. Most consumers, no matter what they’re buying, whether they’re buying a pair of shows, a new pair of pants, it’s going to take them six to eight different touches from an organization before they make a purchasing decision. So getting smarter about how we not only get visibility into consumer behavior, but how we actually quantify what impact interactions have had with the consumer before is really important to bringing the science of data into the art of marketing...