Big Data is a buzzing concept nowadays. When all people around the world are reviewing, commenting, tweeting, blogging, clicking pictures all about the same movie over the Internet, it makes a data worth billions of bytes. This data spread across the Internet is called the Big Data. According to McKinsey a business using Big Data to the full could increase its operating margin by more than 60 percent. Internet has provided businesses with new and profound ways to improve productivity. Companies will benefit from Big Data if they are able to extract unknown patterns from the data and use them in remodeling business activities. According to Weatherhead  University Professor Gray King, there is a Big Data revolution which is the fact that now we can do something with the data. As Gary King said “The importance of Big Data lies in improved statistical and computational methods, not in the exponential growth of storage or even computational capacity”. Read more at:

http://www.informationweek.in/informationweek/perspective/297095/unmasking-gold-internet

In the mid-1980s some of the big companies were trying to bring video telephone technology in the market but it was a big flop with the consumers. The market did not want video phones even though the technology existed. Today's banks have something at their disposal that the telecoms of the 1980s did not: big data and pervasive computing. The financial services industry is trying to create personalized banking so that it would use the right IT solutions and it would allow for robust predictive analytics- in order to use the banking features that will satisfy their customers and improve the bottom-line. The challenge is to understand how to have their data at their disposal into value. Stepping outside traditional platforms will help banks realize that they need to reevaluate self-service and customer engagement in this completely new environment. Banks need to make sure that they have a strategy around all self-service devices. Customers are ready to connect to banks over smart phones and tablets, from any location and at any time. For that to happen banks must use their customer feedbacks. Read more at:

http://www.informationweek.in/informationweek/news-analysis/297141/master-branch-online-platform-transformation

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Both data collection and use of social media API can help  the business in making elegant marketing imminent. An API is a program interface used by hunt engine optimization specialist to assess and arrest vital data applicable and hence improves their marketing strategies in the digital industry. As an application, the API helps digital marketers form their own web requests that will be well-suited to a certain website that will let for the faultless flow of data collection on these sites. A social media API permits commerce to simply collect social data across the social sites.Read more at:

http://www.socialmediatoday.com/content/data-collection-strategy-expand-digital-marketing-insights

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Social analytics is now well thought-out to be an element of trade aptitude approach where statistical data is composed, analyzed and utilized in anticipating consumer behavior. The logical consequences impending from the social data used help business to turn into more approachable to the altering desires of their clients and market industry trend. It is also employ by online shoppers to analyze and examine the marketing strategies of their competitors. The exercise of analytics has happen to be an important instrument for businesses in accepting the collection of significant data that is obtainable to progress their market competition. Analyzing shared data can be very difficult when made physically. Use of an analytics tool can make the progression smarter, organized and can arrest main metrics that would be hard through human involvement. The Google Analytics is the accepted tool used by online marketers in calculating social metrics and signals.

. Read more at:

http://www.socialmediatoday.com/content/analytics-strategies-measure-social-signals

Today, with the rise of mobile devices and simple health trackers, people will soon be able to analyze their own health data themselves. The proliferation of mobile devices has helped liberate the insights from that huge amount of data organizations are collecting. For years, big data and analytics has been the solitary domain of the enterprise and today there is no shortage of people in analytics space, from traditional enterprise players such as Oracle, IBM, SAP Business Objects, to relative newcomers such as Roambi, Tableau, and Pentaho. While businesses are analyzing big data to make decisions, individuals will soon be able to analyze big data to improve their own lives. Consumer can also choose which fitness band to use to check calories, number of steps, activity level, heart rate, sleep patterns, and so on. With this type of data collection, real time biometrics could help in reaching out alerts to doctor so that it can save lives. New innovations will allow individuals to compare their health metrics to others in similar demographics. Thus, analytics along with the interconnection between mobile device, wearable devices and appliances, we will soon have access to greater insights to improving our health.

Read more at:http://analytics.theiegroup.com/article/53a7f76e3723a85c3a0000a1/The-Health-Tech-Revolution-Will-Turn-All-Of-Us-Into-Big-Data-Wonks

In spite of being important, big data analytics is yet to be deployed successfully by most of the organizations. Many companies are struggling with how to maximize big data, and properly incorporate the results into something substantial. Results of the survey showed that the investment in analytics was growing rapidly. 64.4 percent of those surveyed said that their firm is investing more in analytics. However, just 12.6 percent of respondents said their company has completed several big data projects. One reason that prevents organizations from moving forward despite understanding the benefits of big data analytics, is the shortage of expertise in the field and with such lack of big data skills organizations are reluctant to take the plunge. It is also a major concern to keep sensitive information from the gathered big data, secured. On the basis of Big data analytics businesses should conduct their own research and see what options best fit their needs. However, technological innovation should be pursued to make big data analytics accessible to ordinary business users as without such innovation business could be left behind. Read more at:http://analytics.theiegroup.com/article/53a04cf93723a81d72000021/Is-Big-Data-Just-A-Big-Problem

The impact of big data in health care is tremendous and it has potential impact on every person as well. It helps in the advancement of disease diagnosis and treatment. Big Data is able to determine whether men need to undergo prostate cancer surgery or not, also can assess the risk of heart disease later in life, based on our health status as teenagers. Genomics, the genetic information, aims to discover the basis of heritable traits and understand how genes work to prevent disease and we may soon be able to see Web-based patient profiles that aggregate genomic data with other types of Big Data and produce "risk map" mobile apps that people can download to a smartphone. If it is about the hospital treatment, then also comes the importance of big data which requires the integration of information including admissions, records, nursing, diagnostic imaging, rehabilitation and home care. Researchers around the world are investigating ways to access, analyze and apply Big Data in healthcare. Corporations are looking for ways to use it to support their product development. Moreover, regardless of whether it's how patients are treated in the hospital or how they keep themselves healthy at home, they are learning about, interacting with and embracing Big Data .

Read more at:http://analytics.theiegroup.com/article/53a31b043723a81ea9000096/Making-It-Personal-Why-Everyone-Should-Care-About-Big-Data

One of the most promising trends in IT is the use of data to deliver to individuals- the decade old promise of personalization, which includes delivering the individuals the exact product and services as and when they need them. Nowadays we have a rapidly growing number of choices. Companies and other providers can help us sort these choices by analyzing data on our personal tastes and circumstances combined with analysis of mass data. Personalization increases the prospect of customer loyalty. The time lag between product innovation and commoditization has become shorter.  It establishes a more personal and binding relationship with customers. There are of course dangers. Companies and other data manipulators can use information to harm and some of the information they are gathering is highly private. Although individuals are concerned about their privacy, they are willing to share the most intimate data, if they think that doing so will improve their lives. Many problems need to be sorted out before data driven personalization becomes the norm, but the long term impact of this trend will be better products and services for individuals. Read more at:

http://www.informationweek.in/informationweek/news-analysis/297140/-driven-personalization

With the advent of web and social media the speed of the evolution of language has increased dramatically. There are many contributing factors to language that affect the changes. Big data takes linguistics to the next level and the technology like Hadoop helps in assisting interested parties in gaining deeper and clearer insights into linguistics. The reasons why Linguistics should be understand are that- Firstly, to benefit from the insights into linguistics provided by big data whether it may be vocabulary or grammar or something else. Secondly, today's technology continues to develop and improve, the use of voice commands for phones, TV's and game systems is going to increase and it's more important that developers understand the language people will be speaking to their devices in order to ensure the responsiveness. Big data will greatly enhance their ability to provide such speech oriented aspects. Thirdly, in case of learning a language and the way it is learned, understanding of linguistics matters a lot. Finally, to understand the past and looking to the future, it is again important to understand linguistics. With big data technology, the huge amount of data and information can be gathered and used to provide better insights into the past and future of language. Read more at:http://analytics.theiegroup.com/article/53bd6b6d3723a864d8000023/The-Impact-Of-Big-Data-On-Linguistics

Despite having the technological advancements which makes the process of job finding easier and user friendly, the whole thing is not so easy and in many cases it's more complicated. Here comes the role of Big Data which is now making its way into the field of recruitment and helps recruiters to find best people for the right positions. Some companies receive thousands of resumes for a single post and with such a huge number of resumes, companies are engaging in people analytics, applying big data analytics practices to a field of prospective job seekers. Many businesses build their own resumes of candidates by identifying details from people's social media profiles on Facebook, LinkedIn, Twitter, and other sites. From these profiles, companies use big data to identify patterns of behavior, interests, skills and attitudes that they are qualifying factors for current and future job openings. So, job seekers need to manage their profiles to get a job. But, as a negative impact, there are concerns over relying on it too much and as a matter of fact a heavy use of big data also takes factors like race, gender, and religion out of the equation. However, despite the drawbacks big data is of vital importance and job seekers should put themselves in a position to take advantage of big data and utilize it to get noticed.

Read more at:http://analytics.theiegroup.com/article/53b522e83723a80d7e000065/The-Modern-Job-Hunt-How-to-Beat-the-Big-Data-System

In today's world data is not only growing at a very fast rate but it is also being accessed and processed at unprecedented rate. So now, businesses have to focus on the velocity of Big Data, acting on it with precision for real-time results. This is where Fast Data comes in. Fast Data can provide real-time insights from events as and when they take place and help to make a decision at that place and point in time. Fast Data is complementary to Big Data for managing large quantities of real-time data. There are many examples of why Fast Data is becoming increasingly important. In a telecom industry, a Fast Data approach can help telecoms manage resources more effectively. In the financial services industry, Fast Data is using event correlation to contextualize available financial data. In retail industry, customer service centers are using Fast Data for click-stream analysis and customer experience management. Healthcare is another area where Fast Data holds huge potential. Read more at:

http://www.informationweek.in/informationweek/perspective/296992/speeding-business-transformation-fast

According to a new report from Constellation Research, companies are elaborating their cloud ecosystems, making the demand for regular integration more pressing. Cloud Integration should allow the accessibility of high level data which modern organizations require to operate their businesses. Constellation estimates that more than 2,300 cloud software applications are available for the enterprise, and recent surveys show that organization uses more than 23 enterprise cloud software applications on an average. The importance placed on having access to data rather than owning it also results to the prioritization of cloud integration. The report also cites the Internet of Things as a major driver for cloud integration. For enterprises that have recognized the need for more efficient integrations, have already started to handle their cloud integration challenges. Though a difficult task, cloud integration is the main requirement for digital business effectiveness. Understanding cloud integration is a key requirement for that success. Read more at: 

http://www.destinationcrm.com/Articles/CRM-News/CRM-Featured-News/Businesses-Must-Answer-the-Call-for-Cloud-Based-Integration-98027.aspx?CategoryID=531

Companies take efforts to develop all-encompassing voice of the customer (VOC) programs. The success of these programs is dependent on the quality and variety of data gathered from customers. Increasingly, companies are gathering customer feedback from structured as well as unstructured data. For companies establishing a VOC program, unstructured data seems overwhelming. Because of this, companies may avoid analyzing it. Capturing and analyzing unstructured data can be daunting to VOC program managers. Automation is an important step in successfully optimizing the value of unstructured data in a VOC program. Unstructured data creates excellent insight into the underlying drivers of loyalty, and it's vital that organizations make use of their available information. The companies that listen in the right places, using unstructured data to destroy structured, solicited feedback, and taking action accordingly, will have a huge advantage over their competitors. Unlocking the capacity of unstructured data is manageable if taken one step at a time, and the results will be well worth the effort. Read more at: 

http://www.destinationcrm.com/Articles/Web-Exclusives/Viewpoints/Unlock-the-Potential-of-Unstructured-Data-for-a-Successful-VOC-Program-97918.aspx

According to a recent survey by the International Data Corporation's program director, Greg Girard, just 14 percent of consumers could be considered "privacy spenders”, 47 percent are "privacy hoarders" and 39 percent of consumers are "privacy value seekers,". Both privacy hoarders and privacy spenders are comfortable with retailers using online purchase data for serving them better. They become cautious when it comes to retailers managing their online behavior via social media or other Web activity. Since different retailers attract different demographics, retailers need to know how their customers feel about privacy. Consumers will protest if they feel that the information they are sharing to retailers is not protected. “Trust is not just individually built with a retailer, but affected by these more "external drivers," Girard explains. The challenge will be "how well retailers individually, and as an industry, exercise the responsibility they have to safeguard their customers' data and to use it correctly to deliver value," Girard underscores. Read more at: 

http://www.destinationcrm.com/Articles/Columns-Departments/Insight/Are-Consumers-Willing-to-Share-Private-Data-97716.aspx

Research Company Gartner suggests that there will be 4.4 million big data jobs available in the next two years. Everything is moving towards data: big data, mobile datasets.  Creating and implementing an analytics program requires four steps: 1) Defining your metrics and developing a plan 2) Collecting the data 3) Developing reporting features and capabilities 4) Ongoing analysis and implementation. Understanding each of these core components enables a company to make the right investments at the right time. Corporate data culture is a spectrum that can often be classified as follows: 1)No or limited data 2)Basic data 3)Deeper data that's soiled or controlled 4)Democratic data access. The idea is that your strategy should take the following points into account: 1) Data collection and reporting. 2) Analyzing the data, articulating the implications for business. Useful data tracking comes down to evaluating: 1) who is coming to your site, and what are those people doing once they get there. 2) What channels are driving buying customers? 3)Who is converting 4)What conversions are deepening relationships 5)What conversions are driving revenue 6)Who is buying multiple times 7)What's your lifetime customer value 8)What are your churn rates. Any solid analytics plan will take your business model into account and develop a set of metrics that maps to your unique needs and buying funnel. Read more at:

http://www.forbes.com/sites/jaysondemers/2014/02/10/2014-is-the-year-of-digital-marketing-analytics-what-it-means-for-your-company/

Insurers are today trawling big data about customers’ finances and other sources. The development shows how access to big data is revolutionizing the insurance industry and companies are accessing a wide range of information on everything from financial probity to shopping habits of the customers to determine the risk premium for individual customer. One official of AA insurance company said that the winners in the insurance market will be the ones that have got the data insights that others don’t have. It could be supermarkets, banks or social media companies. However, ultimately the big data trend means some policyholders will pay more than others not for the climate change only but also for insurers to know more about the risks posed by particular properties. But, as with the sensitive data some companies also go far beyond what customers would expect them to do with it, customers should be given the option to opt in to such analysis than allowing them to opt out. Read more at:http://analytics.theiegroup.com/article/53c7a5c03723a8014f0000cd/Insurers-Trawl-Big-Data-For-Clues

Today,banks are using analytics to control frauds in electronic payments. Private banks such as HDFC Bank have implemented analytics software. The thing is that the out-of-the way transaction would decline if one fails to respond to a phone call or message immediately after the transaction. There are two kinds of fraud detection in payments- One is during the transaction, and the other is using analytics to identify suspicious transactions based on past behaviour. Banks are now specializing in the analytics part. According to an official of an analytics software company that provides banks with software to detect frauds, the software can be used to personalize services, like ATMs, for customers depending on their preferences. Read more at:http://timesofindia.indiatimes.com/business/india-business/Banks-use-analytics-to-check-fraud-in-online-payments/articleshow/38347410.cms

Successful companies in 2014 are expected to take Big Data Analytics and utilize it for growth and competitive advantage. Experts discussed how to use data strategically for a strong analytics culture at the webinar "Fine-tune your analytics strategy for 2014". According to Stephen Sharpe, Director of Global Strategic Analytics of Johnson & Johnson, companies need to start working on a cloud based system to integrate and broader integration and training across the various sectors to share best practices. According to Larry Seligman, VP, Advanced Consumer Analytics, Inter-Continental Hotels group, companies need a new definition of data integration and they need to learn how to value projects and programs and quantify the things which were previously not quantifiable. According to Mazhar Hussain, Leader Big Data Practices, HP, gives insight on the importance of analytics as a service. Mid-sized and small customers will take great advantage of analytics as a service which is going to take up big stream and it is important to have the right kind of strategy implemented in the company. Read more at:

http://www.modernanalyst.com/Resources/News/tabid/177/ID/2915/6-things-to-focus-on-in-2014-analytics-strategy.aspx

Those in the managerial level want data to back up assumptions. We can’t formulate decisions on a raze sensation, or what we recognize our rivals are doing, or what we believe our consumers desire. A lot of time companies have no perception of their purchase. So to ignore taking bad decisions, data is used to back it up. Analytics is checked to see what public are doing. So what are business analytics and how do we acquire them? At this level of analytics we need to know our rivals, and what their digital outlets are. We require a digital fingerprint of the rivalry, and we should also have a good knowledge of our market. What people are wanting and giving the services we propose. Information of the industry is very important to make a plan to assess the true data, and then make an approach that originates our expedition  . Read more at:

http://www.socialmediatoday.com/content/whats-going-your-industry

The desire to be mobile and make a mark is not new to us. Today we use GPS for wherever we go and communicate on a variety of devices. Big data is the phenomenon which has helped in generating and sharing information. The difference between data in ancient times and now is that before, only humans created and collected data whereas now with the rise of sensors and other technology that creates and collects data. However, the big thing about big data is the self-organization i.e. without human intervention and awareness, data is organizing itself.  But, this leads to a big question that-Are we playing with fire? With big data revolutionizing, there comes a new responsibility, because the purpose of managing data is not to predict the future but to shape it which is a huge responsibility. However, revolution hasn't stopped. Changes took place slowly in the evolutionary manner. Using technology that provides insight into data, today's business leaders have a unique opportunity to make thoughtful decisions that will have long-lasting impacts. But along with all this, disruptive changes are happening in every industry around the world which increasingly making us concern about whether today's leaders rise to the challenge of shaping the future in a responsible way or not. Read more at:http://analytics.theiegroup.com/article/53c3f6413723a87216000156/Shaping-The-Future-With-Big-Data-Are-We-Playing-With-Fire