Big data is playing an important role in football during these days. Football is continuously making use of performance analytics and making use of available information more efficiently to achieve competitive advantage. Most of the top level European football clubs adopted structured analysis process and dedicated performance analysts. Now clubs are able to analyze their data at just one click of mouse. Today players are wearing GPS trackers during training, acceleration sensors and heart rate monitors which records their data of performance and after analyzing those data optimal steps can be taken to improve performance. Also analyzing the opponent's data can give the team a lead ahead to win the game. Today performance can be judge easily on and off the field. Selection of players can be done by analysis of performance. Finally we all are seeing a completely different game during these years. Read more at: http://www.smartdatacollective.com/bernardmarr/332906/how-big-data-and-analytics-are-changing-football

The idea of using information and data for various purposes is not new and has been there since the first web connection was developed. Computer scientist John McCarthy had developed the idea of cloud computing. The internet has grown at a very small pace since the 70's but got revived in the early 90's when first move towards cloud computing was taken. Heavy investment and development in cloud computing shows it is predicted that cloud computing is soon to go mainstream with 34.1 percent of IT sector already running applications in the cloud and 66.4 percent are looking into the cloud, planning to implement installations. Server performance tuning has become easier and finding query performance is now rapid through database analyser, all due to the cloud where our future lies. Cloud computing has become a global phenomenon and people are choosing it for solution in a hybrid manner. Soon companies have to fully turn to cloud computing as it becomes mainstream and lots of other companies shall create their own unique framework including internal cloud adoption. Read more at: http://www.smartdatacollective.com/rick-delgado/324781/foreseeable-future-cloud-computing-explained

Today marketers know how to enhance customer experience and implement new strategies to attract new customers. Big data, social media marketing and customer relations have influenced the marketing behavior. There will be no insights without data. But by managing data and analyzing it will lead to achieving marketing goals. Analysis of data should be such that it provides helpful conclusion to businesses to make strategies and reach goals. Documentation of business objectives helps business to know what type of data is required and how to manage data. Data should be integrated and structured in such a way that it is reliable to customers. Data validation is required to check the validity of data.   Read more at: http://www.smartdatacollective.com/lbedgood/332008/ultimate-beginner-s-guide-data-quality-and-business-intelligence

Big data is growing now days because companies are demanding more output from big data. Data and data management solutions have helped companies to modify the customer interaction and tackle the risk of uncertainty in timely communications. After having good views of customers, agents can help transforming marketing qualified leads into sales qualified leads with smarter interactions. There has been a change in the role of Chief Data Officer (CDO) who was earlier working as data scientist to help transforming big data into new repositories. Today there is compensation for CDO for the value they extract from all sources of data. The large volume and variety of data from other sources and social media has made the marketers very busy. CDO’s are held responsible to judge the relevance of consumer data and assign a particular value.  Read more at: http://www.smartdatacollective.com/gayle-nixon/332221/data-within-and-data-without

As soon as Big Data started transpiring into the future, it is believed that it would transform the way companies sell, market, communicate, educate etc. There has been an enormous progress of Big Data which helps in data integration and analytics. Nowadays much of the work is concerned on future and therefore it focuses on identifying the consequences of it. The prospect of Big Data has enlarged in recent days and there are key "first-order", second and third order, sample "second-order", sample "third-order implications of Big Data. With the conversion of Big Data into Implications Wheel, it furnishes everyone with new perception and control.

Read more at: https://channels.theinnovationenterprise.com/articles/7899-the-implications-of-big-data

There is an upward trend in the use of big data in the present scenario of the business world. The structured and the unstructured data comprise of the big data. The big data gets analyzed from the market view point and looks for the right time to fetch the right customers. The big data not only helps in sustainable productivity but a development for the employees on an individual levels as well .The use of big data have benefited many sectors in the business and will help more with the combined effect of the modern technology.

Read more at: 

http://www.business2community.com/big-data/big-data-a-big-impact-on-productivity-01274278

Big Data is perceived to be a high tech thing that allows us to gain insights and solve problems like never before. Big Data is processed using brand new computers possessing huge processing power. To utilize data to its full potential, constantly updating systems is necessary. Contrary to our belief that data is a new age concept, data has been in use since a long time as is evident from Willard Brinton’s book Graphic Methods for Presenting Facts published in 1914. Most of the techniques discussed in the book are relevant even today. The only difference between then and now is that the size and availability of data has increased manifold thanks to our growing digital footprint. Big Data is becoming bigger with time but the relevance and use of data remains unchanged. Read more at:https://channels.theinnovationenterprise.com/articles/big-data-its-not-new

In our daily life we came across new technologies and making our life simpler. Today people are enjoying benefits of internet in form of online shopping, easily sending emails and transactions with friends online. Data is collected on the bases of these activities and improvements are made according to people’s preferences and tastes. Data mining is the key to collect big data and most of the businesses are dealing with these data to provide good services to consumers. Both of the large and small organizations are using big data. Earlier big data was providing benefits to retail and sales industry but now it also giving advantages to learning and development industries. Big data is also beneficial for employee training and can improve performance of current employees. Transformation of training process from traditional to modern techniques there has been a significant improvement in employees’ performance. Employers can easily motivate and inspire their employees. After getting good output from employees, employer gives more importance and satisfaction to employees. So, big data help employers to better understand their employees. Big data help companies to understand people’s requirements and providing facilities according to their preference. It also came in a form of learning and development tool for businesses to improve the performance of employees. Read more at: http://www.smartdatacollective.com/briggpatten/331869/how-big-data-shaping-future-learning-and-development-industry

Sports analytics have become very popular now days. Predicting winners, player performance and team selection has taken a new form with the help of sports analytics. It has now become a new way of making money and building reputation in sports world. Analysts use the previous data to make predictive models and make future prediction using those models. There has been a shift from qualitative data that was traditionally used to quantitative data. Sports analytics have not been so easy in all sports. American Football, which has large number of variables that can change overtime, faces some difficulty seeking advantage of analytics. NFL teams hardly play 16 games a season implying very small sample size; it is very hard to get some pattern of data. Knowledge of the game and watching the games is equally as important as collecting data. In fact it is part of the data. Read more at:https://channels.theinnovationenterprise.com/articles/how-people-are-beating-the-bookmaker-with-sports-analytics

Data is the most crucial component of every organization but lately some businesses have started to deal in data. Therefore we need to focus on some basic steps before we begin to trade data and they are as follows:

1. Selling and Accumulating data - Companies that are engaged in selling data have suffered from serious adverse criticisms. If an organization has more data, then it has to bear higher risks and management costs.

2. Making Sense - Big data improves business efficiency and has assisted in the Internet of Things but management costs have to compensate against the money made.

3. Making Money - Organizations search for suitable techniques to create money from data.

4. Risks and Returns - Data helps to improve the quality despite of the risk aspects associated with it.

Read more at: http://www.business2community.com/big-data/can-businesses-profit-data-quality-01275752

Big data and analytics are the buzz words in any industry now, but one should not forget that data inaccuracy can lead to huge losses for any industry. Big data becomes useless unless it possess a reasonable degree of accuracy. In case of industries like healthcare and banking big data mistakes can even take someone’s life. Data should be cleaned before data scientists can leverage it to derive useful insights. Practicing good data management is the need of the hour. Executives, instead of being impressed by the size of data, should question its quality. Systems should be designed in such a manner that it is able to simplify the process of data collection and minimize risks from inefficient data. Read more at:https://channels.theinnovationenterprise.com/articles/7782-big-data-vs-bad-data 

Nowadays, like other fields, big data insights affects strategies of digital marketers helping them to create effective campaigns. The discovery of various marketing technologies makes it clear that, companies are keen to invest in this. Sentiment Analysis tool is unethical but not illegal and is really helpful to find opinion –rich information to be acted upon. This “opinion mining” with the help of other tools can actually manage conversations about a brand when used with some other tools. But the drawback of it is we never know if the analysis becomes misleading and leads to the loss of a brand. There are many more such tools used. This proves the relationship between big data and digital marking has transformed into a more sophisticated one. Read more at:  https://channels.theinnovationenterprise.com/articles/where-big-data-marketing-meet

Cancer is a disease that had killed many people in past decades. Few years back it was not possible to treat a patient suffering from cancer. Now doctors have treatment of cancer. But it could more easier with the help of big data. Let us see how big data make it easier. 

Doctors collect data from pre and post treatment of patients. Predictive models can be formed using the extensive data that can help doctors to analyze whether a treatment is success or failure for some set of patients. There are some advancements where AI is used in diagnosis and treatment of cancer. With the help of big data analytics doctors can see which drugs are most effective in treatment. Also running analytical models doctors can find which drugs are not necessary and significant. Only necessary drugs can be used to target the specific forms of cancer. The systematic and data driven view for looking at cancer has increased the potential for its prevention. Read more at:https://channels.theinnovationenterprise.com/articles/big-data-in-cancer-revisited

To stay ahead of new disruptive competitors, banks must understand the value of the data produced from daily transactions across email, mobile and online channels by digitally-led customers and use them to build on their strengths. High street banks and private financial service organizations give customers potential to develop new initiatives with cross-marketing events, loyalty programs. Bank must adopt a mobile-first strategy which engages with customers to maximize longevity. They must deploy mission-critical analytics tools with access to real-time data. Also, more flexible and intelligent OS harnessing the use of big data must be used. By using sophisticated analytics features, banks’ risk management departments can access information on customer-purchasing behavior enabling them to make immediate adjustments to individual customer credit limits or lending rights. Read more about it at: https://channels.theinnovationenterprise.com/articles/7749-how-is-data-remodelling-the-fs-ecosystem 

There is no doubt about the revolution that big data has brought to the way business is done. But, most of the talk has been around the structured data. It has been increasingly becoming clear that the potential of big data can be truly understood if we take up the challenge of harvesting unstructured data. Jonathan Buckley, senior vice president of marketing at Qubole, in an article in Smartdatacollective emphasizes that if businesses want to remain relevant and profitable then it’s the right time to turn their attention to text analytics. The most important advantage that text analytics have is that it provides with a much larger sample of customer sentiment and extract data which is otherwise not quantifiable. But all of this boils down to having the right technology. For more on this follow the link http://www.smartdatacollective.com/jonathanbuckley/329383/text-analytics-next-frontier-big-data

There are a lot of open source analytics tools available that every user can easily find on websites. But to make appropriate use of such tools each company requires equally compatible skills. So companies are required to invest heavily to develop such skills and also on collecting data. It has been found that companies are spending on an average of $7.4m on data initiatives in 2015. Free platforms also took huge investment such as Hadoop, making more efficient systems. The increasing data size led to increase in expenditure, and is likely to increase in future. Upgrade is required in currently installed systems to process huge data in less time. On the other hand huge investment is required to meet the heavy salaries of data scientists, which is approximately $118,000m. As the supply of qualified data scientists increase this amount will fall, which decreases the overall amount of employee compensation. There is a strong evidence that spending on data initiatives has been increasing at a surprising rate and is likely to continue for next 2 years which ensures a boom for the big data companies.  Read more at:https://channels.theinnovationenterprise.com/articles/big-data-spend-is-increasing

Just like the earlier days, even now we view healthcare solutions in two-dimensional ways – patient-doctor relationship or technology revolutionizing patient’s health and wellness. The problem gets more acute with invention of new technology solutions. But if we don’t intervene to gather the data and use them, there’s no use of new technologies such as wearable devices. Thus real collaboration is required where every member connected to the patient acting as a crew member can steer the patient towards possible better health. Everyone working collaboratively can harness the power of technology and big data, to deliver a 360 degree-solution built around the patient. Implementing the approach of multi-stakeholder interaction of social media, can make true social healthcare realize its potential. Read more at:  http://www.socialmediatoday.com/social-business/paul-tunnah/2015-07-09/effective-healthcare-requires-social-approach

SME’s have a large number of advantages in using big data technology and it is found to play an important role for them recently. Firstly it is important to understand that what big data is. Big Data is defined as a popular term to describe exponential growth and availability of data, both structured and unstructured and is important for businesses. It is a series of combined data lakes used for more accurate analyses. SME’s should move to Big Data storage solutions because storing the new data generated each day is becoming expensive for the companies and its increasing their costs. When SME’s start using such combined datasets, they will have enough data to analyse and improve their decision making. Interest in big data has reached new heights for SME’s as they take their chances of capturing more information from everywhere possible. SME’s can also use big data to attract new customers, tap new markets and reduce costs. Some more ways how big data technology can help SME’s prosper are by using big data tools which increase their ability to use predictive analytics for decision making. It also helps SME’s move unused data into different less expensive places. Hence SME’s should definitely be looking forward to such big data technology for improved performance.

Read more at: http://www.smartdatacollective.com/bruce-robbins/329520/big-data-smes

The term Big Data has become popular recently and is used to define exponential data development and availability, both structured and unstructured. Big data is crucial to businesses since more data implies precise analyses which results in efficient decision making, reduced risk and cost reduction. Big Data is used for more complex datasets and refers to application of predictive analytics and other advanced application tools to derive the results and seldom to the size of datasets. The three V’s of Big Data are namely: Volume, Velocity, and Variety. Apart from increasing varieties and velocities of data, data flows are very challenging. Variability, complexity are some other factors of Big Data. Data flows in from different sources and it’s difficult to connect them which has become a huge task these days. Big Data has become necessary for companies which helps them stay updated with the new technologies. Processing the Big Data smartly and accurately is worth a lot of income for the companies. Big Data demands amazing technologies to efficiently process such datasets in given deadlines. There were companies who spend a lot of money on data analytics and other management systems to increase their efficiency. Recently Big Data has increased the need for information organizations. Big Data also helps to grow and continue increasing the number of servers used which only adds to expenses of the company.

Read more at: http://www.smartdatacollective.com/anandsrivastava1988/328749/what-big-data-and-how-useful-it

Big Data is nowadays drastically affecting people's lives by its various uses. 1) With the growing population, infrastructure also have to grow. Hence, Transport for London (TFL) is going through a data-driven approach to increase the network access across England's capital city. This helps in informing people about alternatives when there are closures in a route. 2) With considerable growth, the necessity to plan proper waste management has increased. Greater Manchester Waste Disposal Authority (GMWDA) in UK collects data to increase the recycling level to move more towards a sustainable age. 3) Accuracy of weather forecasting is increasing with the help of big data using complex and more accurate devices. It still isn't perfect but is on the track to get that accuracy helping outside worker plan ahead of time. Read more about this article by Chris Towers (Big Data Divisional Head) at: https://channels.theinnovationenterprise.com/articles/big-data-in-real-time