The successes of big data analytics in other markets have influenced the healthcare industry. Healthcare providers are on the verge of implementing big data analytics to reduce the cost and improve the care. Hosted analytics, partnerships and collaborations, and lower-cost internal applications have opened the door for smaller organizations to use big data. As most of the providers adopted EHER, many healthcare professionals got centralized access to patient records and to manage risk, providers needed accurate data from a range of sources; hence cloud has become very significant. To know more about this topic, please visit: http://www.informationweek.com/healthcare/analytics/healthcare-dives-into-big-data/d/d-id/1251138

In the 21st century with rapid development of technology and analytics, organizations claim that they are data driven and rely on customer information gathered from a diversity of sources. Data analysis provides us the effects, but fails to interpret the causes. As per Mike Mothner CEO of Wpromote "Data can tell you that this ad is better than that one, but human intuition asks why." He also said "The key to a successful, data-driven marketing strategy is finding the perfect intersection between technology and human expertise." As there is much customer information available, it is important for commercial enterprises to determine which information is relevant for processing to reach the target. For more details please visit: http://www.businessnewsdaily.com/6393-big-data-human-interpretation.html

Today, every company is talking about Big Data, but there is also an important thing to consider - that is organizational culture. As high technology companies are embracing Big Data, the direct beneficiaries will be their IT professionals – who will have the opportunity to outshine themselves. Companies need to look for new generation talents who can handle latest challenges keeping in tune with the advancement of Big Data technologies.  With bright futures ahead, big data can make a scope in every aspect – be it scientific research, medical science, or any data driven industry, companies and their IT professionals can see a silver line. To see increased productivity and boost profitability, what is required is the right mix of big data tools, vendor support and IT talent team.

To know how organizations can earn the feather cap by using big data analytics tools, taking alongside the cultural change, read at http://midsizeinsider.com/en-us/article/big-data-analytics-success-through-cult .

Facebook released Cassandra, its NoSQL, big data distributed data store to open source. It can power massive data sets quickly and reliably without compromising performance. Different new features and improvements are included in the latest version. To know more about Cassandra 2.0, follow Steven J. Vaughan-Nichols's, article link:

http://www.zdnet.com/cassandra-2-0-the-next-generation-of-big-data-7000020237/

To manage your sales upwards, you need to click your senses. Have you ever thought, that much talked Big Data is also a part of your ‘sense’?

The way big data and analytics are making a progress, especially in marketing and to increase sales, it can no longer be ignored. Your buyers are now more informed about your products and services and you have to dig in deeper to gain new insights about the mind and heart of your customers.

That’s where big data comes in effect. Lots of customer data are now available and without going hither and thither, you can mine for gold. Yes, gold – because customer data is like an asset to you depending on which you can gain that ‘new insight’ to keep yourself ahead of competition. Click on http://www.entrepreneur.com/article/233969  to view on how big data can raise your sales. Who may say, you may be the next beneficiary of leveraging the power of Big Data!

As businesses are becoming tougher and becoming more competitive, usage of advanced analytics is on rise. With the help of it, companies have increased their marketing effectiveness and they are able to generate more revenue out of the cost spent.

But, one thing has to be accepted. Deploying analytics tools in an organization is not an easy task. One of the main concerns is scalability – whether analytics will be utilized on a large scale or a small scale, because, depending on that, cost will vary; and if you choose the wrong one, it will eat your revenue. Change in organizational culture is also noteworthy – those who are not yet oriented to analytics, may face difficulty in adopting the technology.  In spite of all these, analytics have proved to be tremendous successful for marketers. Given in the present dynamic situation, CEOs must learn to adopt analytics and should motivate his or her marketing organization to use. Click on http://www.forbes.com/sites/forbesinsights/2014/05/19/an-advanced-marketing-analytics-cheat-sheet-for-ceos/?ss=business  to know the tips for CEOs.

An article by Brian Honigman, Digital Marketing Executive at Marc Ecko Enterprises and a social media specialist, conveys that while big data is a challenge for many organizations, it is one of the key factors that drive the evolution of the travel industry. Travel companies can make better decisions based on the data aggregated from their customers to personalize services like travel booking for an easier navigation. Big data can help travel companies understand the ongoing requests of their customer base and identify patterns in consumer behavior to determine offerings they may want in future.

To know more visit http://www.forbes.com/sites/centurylink/2014/04/30/how-big-data-is-transforming-the-travel-industry/

Business leaders have embraced big data like never before. They believe that big data will bring miracles and will bring fortunes to their company. But, take a note - everything is not done by big data. If you do nothing, and sit on high hopes that big data will solve all problems, then you are wrong - instead of simplifying, big data will make your tasks more complex.

One thing you have to remember is that, although usage of big data has spurted, there are several analytical softwares that can give valuable outputs like how to become more competitive in the market or how to deliver better products and services, but still human intervention is necessary. Unless and until you guide your big data, it will not help you.

So, do not get lost in the midst of big data and take the right path to realize its full value and potential. Here are the ways you can do so: http://www.techrepublic.com/blog/10-things/10-things-you-shouldnt-expect-big-data-to-do/# .

As a service provider, it is true that if you see your customer churn rate is reducing, then you are satisfied the most. Reason? A small reduction in customer churn rate can improve your profitability by millions.

Studies reveal that if you acquire new customers, it can cost you up to more than five times than to satisfy and retain your existing customers. After all, your existing customers who are like gems to your company,  provide treasures – you can gain deeper insights that will enable you to render better customer service which will create a favorable impact on your revenues. 

For this, you have to study your customers’ behavior. In the past, when technology and data were limited, knowing their behaviors was difficult. But now, with a handful of technologies and big data, you can analyze their behavior easily – even to the extent like at what time do they leave for work, how long it takes them to reach there, etc. By leveraging big data analytics, you can extract information on different metrics, based on which you can fine tune your service offerings according to your customers’ willing.

Read more at: http://economictimes.indiatimes.com/articles/how-big-data-smart-analytics-is-reducing-subscribers-churn/ericssonarticleshow/34166759.cms  to know how big data can help you to reduce your customer churn rate smartly.

It is of no doubt that Big Data is transforming businesses greatly. But, this advantage is compromising a big issue. Have you guessed it?

Well, as Big Data is growing day by day, privacy and legal concerns have cropped in. So, does that mean you will stop using Big Data? If you do, you will surely fall behind your competitors because this data is now a resource which any marketers can use to gain competitive advantage.

While handling Big Data, the fundamental thing you have to keep in mind is data anonymity that will help you to avoid and tackle privacy and legal problems with Big Data.

To manage risks associated with it, you can follow the guidelines from the Information Commissioner’s Office (ICO) which includes a Code of Practice on Anonymisation. Kim Walker, partner at law firm Thomas Eggar LLP, talks about them here: http://www.computerweekly.com/opinion/Big-data-big-legal-trouble .

Human element plays an important role in the application of big data. Though data science is based upon business analytics, it is different from business analytics. Data science collects data and other information from different systems and then asks many different questions. To know more about whether it is necessary to include data scientist when a company is deploying big data solutions or not, go through the article by Daniel Kusnetzky, software engineer and product manager in Kusnetzky group.

http://www.zdnet.com/the-human-element-is-critical-in-applying-big-data-7000028983/

Big data is one of the important buzzwords in technology world. Nowadays, in addition to traditional enterprise data, companies are collecting data from different sources. Though big data is being used in high pace, companies working with big data are only concerned about the best product. To know more impact of big data, go through the article by Natalie Gagliordi, ZDNet staff writer.

http://www.zdnet.com/the-impact-of-big-data-on-enterprise-apps-7000028994/

If you are a startup and you are worried about your success, then wait. Big Data is here for you to predict your success in business.

To be successful in business, a lot depends on your employees. You need to have the best talents and also ensure that your employee turnover is low. In an era, where you have technology in your hands, and you are surrounded with social networks, looking for right persons for your company and ensuring their satisfaction are not difficult tasks. Also, the good thing is, it is not always that you have to pay for expensive tests and assessments to analyze your employees’ data all the time.

Read more at: http://thenextweb.com/entrepreneur/2014/05/02/use-big-data-predict-success-startup/  to know how big data can help you in getting the right employees, reduce employee turnover, thereby predicting success of your startup.

The rapid rate of cloud adoption has given rise to the natural necessity to have some data generated live on cloud-based platforms. One of the biggest mistakes a company can make is assuming that once you are managed by a hosting provider or other cloud-based platform company, the inbuilt security features will provide everything you need from a data safety perspective. Depending on the cloud service provider or managed service provider you use, you can expect scalability and flexibility to be built into the system so that you don't miss out on the cloud's ability to quickly respond to changes in demand. Having the technical skills in-house is just as important as finding the outsourced technical expertise that will enable a greater degree of secure infrastructure planning.

To know more visit the article at http://www.cloudcomputing-news.net/blog-hub/2013/nov/19/the-reality-of-data-security-in-the-cloud/

Implementing cloud data encryption and maintaining control over encryption keys is an important way for the enterprise to verify how information can be shared and unlocked. Cloud data encryption transforms data so that it is undecipherable without the key that can be used to change the data back to its original form. But several enterprises are now realizing that when they cede control of their encryption keys to their cloud providers, their sensitive data may not be as private as they had hoped. They need to look for peer reviewed security proofs and understand implications on end users of cloud applications if there are strong encryption techniques. Recommendation from Gartner and the security and compliance needs to control sensitive data and it becomes clear that having vast amounts of sensitive data dispersed to multiple cloud application providers and relying on those providers to keep the encryption keys safe creates a security paradox for the enterprise.

To gather more insights visit the article by Gerry Grealish, Chief Marketing Officer of PerspecSys, follow http://www.cloudcomputing-news.net/blog-hub/2014/mar/20/when-deploying-cloud-data-encryption-protecting-encryption-keys-is-critical-to-keeping-cloud-data-private/

It is estimated that by 2020, 80% of the US hospital will shift to some form of value based healthcare model. It means that the system will need to successfully transit from a transactional per procedure/per patient/per visit model to early diagnosis, treatment and management of the population system. This system will not only benefit the care providers, but will also benefit the patients. Innovative solutions that offer earlier detection, increased patient engagement or improved disease management could save the healthcare system billions of dollars every year. Lean innovations in healthcare will assist care providers to create a successful strategy in order to provide better care. Constant technological improvement has changed the dynamics of healthcare. Hospitals are looking for cost-effective solutions that integrate data into every pre- and postoperative procedure plan to better evaluate and treat patients. So, now healthcare leaders will focus on big data analysis to progress in business. Read more about this aspect at: http://www.forbes.com/sites/reenitadas/2014/04/30/the-truth-behind-value-based-healthcare-are-companies-really-getting-it/

Google had maintained a complete secrecy about the algorithm it uses to generate site links. Google includes pages in the sitelinks that don't appear to be the healthiest pages in traffic acquisition, engagement, or any other supporting data point. Why is Google selecting these pages? Below are three possible explanations:

• Something for Everyone.
• Search Trends.
• Testing.

Examining web analytics data on site content and to try and "save users’ time" are something organizations do on a daily basis. There is a common assumption that Google has a clever way of determining the popularity of site pages without knowing the website analytics.The method that Google utilizes to determine sitelinks is still somewhat of a mystery. But data shows that Google is anticipating the popularity and health of pages within a site and in many cases including one sitelink that is not typically very popular on the site.

Mark Ryan, Lead Analyst, Extractable writes on this aspect in detail. To read, visit the following link:

http://www.clickz.com/clickz/column/2342233/comparing-google-sitelinks-with-google-analytics-data

Delivering efficient data modelling & analytics solutions depends a lot on having manpower with relevant skills. Training an existing workforce is a necessity today in the field of big data as data scientists are an elusive catch and there certainly aren’t enough of them to go around just yet. With competitors catching up in this regard and university campuses are yet to address the huge demand of data scientists, organizations got no option other than training the manpower resources they already have! Bill Laberis, Social Media Manager, Custom Solutions Group at IDG said “Think of Big Data like a tsunami. Most of it is still out sea, a veritable wall of data born in large measure from the social media boom. As it approaches land and the shallows, suddenly it looms. Then crashes to shore. On top of your business”.

To read more on this aspect, visit the following link:

http://www.big-dataforum.com/197/training-big-data-talent-necessity-not-option

The industry-wide cloud services pricing curve have inclined downwards with respect to time. Courtesy to the big players like Amazon, Google & Microsoft, price cut is a routine phenomenon in this industry. Amazon Web Services is well known for its belief in the phrase “change is the only constant”. AWS has made frequent changes to its cloud service in recent years, from price cuts to tighter integration with private data centres, to accommodate the enterprise market and branch out beyond its original clientele of developers and start-ups. They had reduced their price 42 times over the past 8 years! At the same time, with huge amount of data available today, a lot of hidden, unearthed insights can be found for each and every industry. AWS Kinesis is an amazing platform to perform various operations on big data. There are also other third party tools to help you explore your data. Matt Wood, General Manager for data science, Amazon Web Services, said “One of the biggest trends is the augmentation -- not the replacement, but the augmentation -- of traditional business intelligence reporting with more real-time services. … Being able to use the two together is very empowering”.

In a recent conversation, Matt Wood, General Manager, AWS, spoke about cloud pricing, big data trends etc. To read, visit the following link:

http://searchaws.techtarget.com/news/2240217081/AWS-chief-data-scientist-talks-cloud-pricing-big-data-trends

Previously, I wrote that before stepping into Big Data, you should set up your question first. Now, it’s time for you to get accustomed to it. Every one of us knows that Big Data is changing the world of business. It has reshaped the ways companies normally look for gaining customer insights and is also helping entrepreneurs. But, still there is an important question that needs to be answered. Let’s talk about it.

One of the main advantages of implementing Big Data is that it helps you to take smarter decisions about your product as you get to know lots of customer data. You have to remember that using Big Data should not be expensive.  So the mantra will be - minimum expenditure, maximum benefit. You may be thinking ‘how can it be done? It’s an impossible task!’ But the good news is that it can be done and yes, in a cheaper way. Interested to know? Know the inexpensive ways on how to manage huge data sets and get the maximum out of it here: http://www.entrepreneur.com/article/233280 .