SigmaWay Blog

With regards to big data analytics in the healthcare industry, there's a noteworthy contrast between beginning an activity and succeeding with it.  We have to collect data systematically. Organizations should also conduct regular reviews of their data integrity and health information management programs to help clinicians to collect important data in a standardized, and accurate manner. Big data analytics is costly and hiring an outsider with more experience might be interesting for suppliers who are feeling lost. Outsourcing can also be risky when it comes to data security. Read more at: http://healthitanalytics.com/news/how-to-build-a-successful-big-data-analytics-program-in-healthcare

In this digital age, people are extensively buying gadgets like laptops, computers, mobile phones etc., and Manufacturers provide a one year warranty though limited to manufacturing defects. But what about a gadget being stolen or damaged. Insurance companies are introducing insurance cover for gadgets and they cover the following aspects-:

# Theft and Burglary

# Physical and Liquid Damage- 

# Accidents 

To know more, please read the article written by Kapil Mehta (Executive Director, SecureNow Insurance Broker) at The Economic times ( Technology ) -: http://economictimes.indiatimes.com/small-biz/security-tech/technology/can-your-electronic-gadgets-be-effectively-insured/articleshow/50133249.cms

With the increasing rate of mining and filtering fossil fuel, the day is near when all the fuel present in earth will be gone. Well some scientist have figured out a technology which can be the next perpetual source of energy after sun.

In a recent study, scientists have found a catalyst that splits water into oxygen and hydrogen like plants do with the help of photosynthesis. Scientists are also believe that cars in the future will run on liquid hydrogen, with a single filling lasting 2,000-3,000 kilometers with the help of this catalyst. Though this discovery is far away from actual implementation and require more research.

To know more, please read the article written by ARAM TER-GHAZARYAN (Writer at Russia beyond the Headlines) -: http://rbth.com/science_and_tech/2016/04/13/new-technology-might-end-the-worlds-dependence-on-oil_584357

A recent study revealed that about 30% of Indian adults who are corporates suffer insomnia and 25% sleep apnea. This is a clear indication towards unhealthy condition among the corporates. But there are gadgets which helps you to monitor your sleep and they are becoming quite popular among all age groups. These gadgets are way better and has no side effects like memory loss caused by sleeping pill. 

To know more, please read the article written by Shobita Dhar (Writer at The Times of India tech)-: http://timesofindia.indiatimes.com/tech/computing/Why-this-tech-could-put-you-to-sleep/articleshow/51181484.cms

CIA is getting serious about monitoring social media and with their venture capital In-Q-Tel investing in high-tech companies, they want to ensure that they remains on top of the latest and greatest technology breakthroughs and advancements. For example Geofeedia, which collects and analyzes geo-tagged posts on social networks like twitter and Instagram which the actual used to track news events in real-time.

To know more, please read the article written by YONI HEISLER (writer at bgr.com) -: http://bgr.com/2016/04/18/cia-surveillance-social-media-in-q-tel/

According to recent study, snapchat is the most popular app among teenagers in US. A survey on 6500 teens in US to see what their opinion about the most important social network, 

# 28% voted for Snapchat 

# 27 % voted for Instagram which is a very close call

Leaving the rest for twitter and facebook. The study shows that teens tend to be more interested in viewing pictures and videos rather than text-focused media seen on Twitter and Facebook . Snapchat introducing things like Snapchat Discover and debuting live coverage at the Oscars,  as well as the popular face swapping feature and constantly adding new filters for images makes it interesting while other apps failed to do that. 

To know more, please read the article by written by Kelen Beck (Tech news reporter intern at Mashable)  -: http://mashable.com/2016/04/14/snapchat-teens-winner/#nxajcWykJSqm

What if we tell you that staying away from social media for a week will benefit more than workout or even swimming. At least an independent study says it’s true. Here are some thing you must try to avoid anxiety, depression and health hazards caused by social media -:

# Try to be on bed without your phone -: lesser will be the contact with your phone, happier you will be.

# Workout to tone your body and to be fit 

# Learn how to be alone - We are constantly connected to social media which create an illusion that we are never alone but it’s important to take some time for yourself. 

To Know more , please read the article written by FlockU in The Huffington post - http://www.huffingtonpost.com/entry/i-quit-social-media-for-a_b_9627574.html?section=india

Predictive analytics incorporate an assortment of measurable strategies from predictive modelling, machine learning and data mining that investigate present and chronicled certainties to make forecasts about the future. There are numerous components that show churn: drops in item utilization, debasing assessment in client communications. But the issue is predictive analytics depend on complex models that consider numerous "variables" that could possibly be independent. Key steps that can make client progress with prescient examination: 1. Quit attempting to rethink the whole. 2. Understand that it is just an expectation, not an assurance. 3. Move from imagining a scenario where to what's next. 4. Make it an agreeable, shut learning circle. For more read: http://www.cmswire.com/analytics/leveraging-the-power-of-predictive-analytics-to-control-churn/

The advanced age is loaded with examinations, estimations and learnings. It has brought streaming information in real time. In today's predictive analytics world, advertisers can see the future effect before spending a dime. Advertisers can hope to know how likely it is for a specific occasion to happen in the life of a customer. Customers are focused on forecasts, which depends on their computerized impression. For more read: http://www.cmswire.com/analytics/predictive-analytics-makes-marketing-dollars-work-harder/

The term big data are applied to data sets which is beyond the ability of traditional databases to capture, manage, and process the data with low-latency. Big data analytics can be real-time processing or streaming analytics. The primary goal is to help businesses to use data to be well informed about their customers, decisions they should be making, improving efficiency and various other use cases. For more read: http://www.cbronline.com/news/big-data/analytics/big-data-analytics-what-it-is-and-why-you-should-care-4894627

Machine learning goes a stage past big data analytics, where machines utilize calculations to adjust and gain from past encounters. In the client experience domain, machine learning permits new information about client knowledge to be enhanced as new information is added to the models. Examples of innovative machine learning applications in use today, i.e. tracking and maintaining customer profile data, hospitals use machine learning models to incorporate factors. Machine learning stages are presently broadly accessible which give demonstrated instruments to help the standard engineer group assemble information rich applications. For more read: http://www.hpcwire.com/solution_content/using-machine-learning-enhance-customer-experience/

Phone analytics are used for understanding of what happens with customers on the phone. It is possible to get an overview of all the call activity within a certain timeframe. Phone calls are an important part of marketing campaigns, particularly for the business-to-business market. But, without call-tracking data, there's no way to know how well the sales team is doing with those follow-up calls. Using the analytics data, businesses can take steps to improve by reducing the call abandonment rate.  For more read: https://www.entrepreneur.com/article/273584

Having access to information doesn't mean consumers will correctly understand and interpret the data. Real estate entrepreneurs also must gain a better understanding of this data to make it useful for customers. Real estate leaders should have knowledge of something when they use predictive analytics i.e. 1. Fortify the foundation, 2. Draw up a blueprint, and                                                                                                              3. Entertain your guests.    For more read: https://www.entrepreneur.com/article/275805

By utilizing technology & traditional data analysis, wholesalers can use predictive analytics: 1. Forecast future customer needs, 2. Discover trends to foresee future business scenarios, 3. Predict changes in customer segments and the impact to the organization,  4.develop future pricing strategies, 5.improve upcoming marketing campaigns, 6.project customer profitability, 7.develop strategies to maintain customers, 8. evaluate their exposure and risk profile, 9. identifies potential new customers, markets and segments. By leveraging the use of predictive analytics, wholesalers can gain the upper hand over competitors in today's digital economy. For more read: target=_blankhttp://clarkstonconsulting.com/blog/wholesale-distribution-and-the-digital-economy-the-importance-of-predictive-analytics/

Predictive modeling drives Account Based Marketing or ABM strategies by identifying the right audiences. With a good ABM strategy, you can personalize your website messaging to individuals once they land on your pages.  Personalization software tracks visitor sources and actions. Then uses behavioral, demographic data to provide personalized experiences according to the visitor's characteristics. Technology won't do everything. Successful ABM strategies depend on proper integration between sales and marketing. For more read: http://customerthink.com/whats-missing-from-your-account-based-marketing-strategy/

Predictive analytics help you how to make money. Angela Hausman, PhD (marketing professor at Howard University) writes in her article about some possibilities to improve bottom line by using predictive analytics: 1. Recommendation algorithms
2.Manage the customer journey
3.Segmentation based on CLV (customer lifetime value) or other variables
4.Optimize deployment of company resources
5.Hire the best employees for a job
6.Detect fraud. Using predictive analytics, firms segment their customers on more influential variables. Predictive analytics can help to optimize deployment of resources. For more read: http://www.business2community.com/business-intelligence/want-buy-using-predictive-analytics-01543154#eTFpvvsFFDwam4MG.97

Customer-related data aren't a tool to generate an advanced client experience. In B2B, customer-related data are more essential, because each client relationship is special and complicated. B2B relationships involve in multiple customer contacts, as well as the company. Compared to B2C, B2B customers' needs are more complicated and require knowledge. Enterprises can leverage data to enhance support through proactive customer service. In the B2B world, client data enhances customer service by enabling deeper knowledge. For more read: http://data-informed.com/how-to-use-customer-data-to-strengthen-b2b-client-relationships/

SEO is very important for any business to succeed online and B2B companies are no exception. Some B2B companies find hard to decide which SEO strategies they should adopt. Nicole Boyer (a valued contributor to Business 2 Community) writes in her article about some of the best features of SEO available for any B2B digital marketing campaign. Read more about the difference between an SEO strategy for B2B and B2C on: http://www.business2community.com/b2b-marketing/features-seo-b2b-digital-marketing-campaigns-01539946#b1oSCmKmi6BhRfCg.97

The cyber security budget has increased in the last two quarters in a massive way due to new internet of things threat in the cyber space. A research says that in 2015, investments in cyber security, increased by 78% and valued $228 million. It is suspected that it might reach $400 million at the end of 2016. But why such huge investment? The answer remains in our day to day life schedule. From residential information to car insurance details, every part of our life and economy is data driven and highly networked in cyber space. Earlier the hackers have a mentality to breach the confidentiality in the social space or E wallet arena. But now they are targeting more mainstream and essential services. This breaching of firewall could harm us in the daily life situation. So to protect this condition, huge investments are mandatory which will lead generating more revenue for security startups.

To read, follow: http://readwrite.com/2016/05/19/cybersecurity-investment-iot-sl4/

Digital marketing is the most essential parameters to grow your business. But the strategies have to be taken to optimize the revenue model by this marketing technique. Most customers used to buy products online and helps to grow the business. So your presence in social platform is highly important, but at the same time social campaigning is also playing a crucial role. To design a proper landing page, create it interesting by providing important data and specific search items. To maximize the brand reach to the customer keep up to date your website and make it more relevant on the timeline, start by searching related topics in your industry which you think people will find interesting. Use search tools like Google Trends and Google AutoComplete to make your job easier and in the final phase understand the progress of your marketing process.

To read, follow: http://www.huffingtonpost.com/entry/5-digital-marketing-tips-_b_10049392.html?section=india