SigmaWay Blog

The best way to improve the probability of desirable outcomes is to predict the unknown future results. Predictive analytics help organizations to become forward looking and proactive. It uses a number of predictive modelling and analytical technique for the prediction of the future. One of the modelling techniques is a response model which doesn't predict influence. It only predicts the desirable outcomes of one method without making any prediction of alternative method. Healthcare organizations will be more successful if the predictions for treatment decision results in the desired outcome. For more read the article written by Eric Siegel (founder of the Predictive Analytics World Conference):

http://data-informed.com/drive-influence-with-uplift-modeling/

A proposed framework focuses on the development and application of electronic healthcare predictive analytic (e-HPA) applications. The framework is built on "earlier frameworks of model development and utilization" to show opportunities for e-HPA, ways to address challenges and ideas for motivating stakeholders to adopt and refine the framework.

Five areas provide the structure for the framework, which includes:

1. Data barriers and model development

2.  Transparency and model evaluation

3. Ethics

Cyber security is the biggest issue for the business enterprises who is in the field of networking and cyber space. But, problematic situation is arising where there is a mismatch of investment in cyber security than the growing threats in cyber space. This indicates that most of the organizations are either not aware about the upcoming threats or financially reluctant on investment. Security budget is not easy to predict and more skillful persons are required to predict the upcoming threats. 

To read, follow: http://www.computerweekly.com/news/4500279662/Cyber-security-budgets-not-rising-in-line-with-threats-say-security-pros

In order to make management decisions, all companies in various industries work on large transactional data. For example: healthcare, retail, pharmaceuticals and so on. Some of the benefits big date provides:-

1. Big data analytic makes operations more efficient and frequent.

2. It appreciates the quality of services by analyzing the whole data and not just sample subset. As a result, the companies make more precise decisions.

3. Marketers target the right customers using big data. Through focusing on data based strategies

4. It gives an opportunity to new companies because they can analyze the existing industry data.

Cyber-attack on Sony pictures in 2014 has clearly indicated that the hacktivists have enough technological supports to sabotage one of the most secured service section and business giants. The U.S government suspects that Chinese hackers are penetrating the government's Office of Personnel Management (OPM) last summer as it exposed almost 4 million Federal employee records, including social security numbers. These all instances which prove that these hacktivists are mostly concerned about the sensitive data. The Department of Homeland Security's (DHS) Einstein system is used to find out who committed breaches. Deeper insight in cryptography is therefore required.

To read, follow: http://www.extremetech.com/extreme/225114-the-cybersecurity-threat-are-we-protected-yet

A recent study by MIT University shows that there is a 78% increase over the past three years in the job posting related to analytics and this led universities to launch specialized program in Master in Business Analytics. Nowadays, data analytics are used in marketing, finance, health care, logistics, insurance ecommerce, manufacturing and government services. To know more, please read the article by Michael Norton (Writer at lowellsun.com)-: http://www.lowellsun.com/business/ci_29635724/mit-reports-spike-analytics-job-postings

In the aviation industry, aircraft maintenance and safety is always on high priority. With the increase in air traffic and air passengers, aircraft maintenance and repair firms are utilizing predictive analytics integrated with the Internet of Things (IoT) to predict component failures and pilot stress level. Firms are developing a solution that can predict the likelihood of a component failure which can help to replace the part before it fails. In future, by analyzing breathing patterns of pilots before they board the flight, will help to monitor the stress level. To know more, please read the article by Jonathan Ananda (Writer at The New Indian Express) -: http://www.newindianexpress.com/business/news/Data-Analytics-to-Make-Flying-Safe-for-Pilots-and-Passengers/2016/03/16/article3329532.ece

Image Source - : https://pixabay.com/en/oldtimer-aircraft-take-off-aviation-1010805/

Wave analytics platform is one of the key product sets of Salesforce. When Salesforce first launched the Sales Wave analytics app it had an inbuilt packaged application Wave platform. A platform seems to be quite challenging in terms of its requirements, implementation, price of entry etc. So the company doesn’t sell only wave platform but also the analytic app and it has brought a radiant result. The app can be implemented very quickly and it has reasonable price. The company has significantly matured the tooling and product to render dashboard and make the platform easier for business analysts. But the main challenge is getting the right data and taking advantage of machine intelligence to automate elements of the analysis. Salesforce has introduced a self-service data prep console in the Wave platform. It focused on user specific cases. To capture the enterprise analytics, market vendors must do the part of building an analytics application. For more read : http://diginomica.com/2016/03/08/salesforce-wave-and-the-future-of-enterprise-analytics/

Cyber-security is becoming the most trending topics in organizational context. So a proper understanding of cyber-security measures and preventive learning is necessary. Institutionalization of security methodology should be in the key priority. Some institutes provide a set of free hands-on, e-book lessons designed specifically for teens to learn cyber-security and critical Internet skills. This training enables the learners to challenge hacktivist with improvised measures and safe guard protocols. Some Cyber security company provides free five weeks training on how to secure online browsing. We need to list all possible threats and nullify by secure web browsing and cyber activity. In a research it was also found that there are one million cyber security jobs in 2016 which is growing at a rate of 36.5% through 2022. Read more at: 

http://www.forbes.com/sites/stevemorgan/2016/03/20/hacker-high-school-teaches-cyber-security-skills-to-teens/#41440ab669b6

Artificial intelligence is the most powerful tool. It can be used in any industry.  A smartphone can act as a personal tutor i.e. artificial intelligence can not only be used to teach, but also get to understand learning style, strengths, and weaknesses. In the healthcare industry, AI helps a doctor or nurse to chat with the patients and recognize the symptoms at the tap of a button on your smartphone. In transportation system, AI is used to understand their customer's need and provide better service. As a whole AI is the next stage of human excellence.

To read, follow: http://www.businessinsider.in/The-cofounder-of-Uber-told-us-how-artificial-intelligence-could-revolutionize-the-world/articleshow/51434466.cms

An analytical model takes time to capture data from environment to give a representative distribution. Machine-learning technologies will analyze the data. They try to determine an appropriate distribution. Statistics, analytics, and machine learning are some tools that will help resolve security problems faster, and with fewer resources. This will influence the next wave of automated and predictive defenses. If it is implemented properly, the security benefits of big data analytics will be huge. For more read the article written by Celeste Fralick (Partner Perspectives): http://www.darkreading.com/partner-perspectives/intel/knowledge-gap-series-the-myths-of-analytics-/a/d-id/1324602?

401(k) is a retirement savings plan sponsored by an employer. It is found that retirement planning and wealth management firms are upgrading themselves with client segmentation. Nowadays, segmentation and predictive analytics projects are important to organizations. Segmentation is an important as it help firms continue to add resources. Firms are also trying to progress with the help of big data. For more read the article written by John Sullivan : http://401kspecialistmag.com/segmentation-critical-fully-understand-clients-across-channels-march-2016-boston-new-research-cerulli-associates-global-analytics-firm-finds-firms-approaching-client-segmentat/

Prescriptive analytics is considered the third wave of the Big Data revolution after descriptive analytics and predictive analytics. Prescriptive analytics add a third layer of technology by evaluating possible actions in response to the data and produce a desired outcome. Combination of predictive and prescriptive analytics can be helpful for organizations which wants to do more in less time. Combining prescriptive and predictive analytics add more features into the equation, such as the responsiveness of a prospect to your outreach. Effective prescriptive analytics deliver more transparency and control. For more read: http://insidebigdata.com/2016/03/03/how-prescriptive-analytics-puts-complex-decision-making-on-rails/

Nowadays, computers solve crimes, drive cars, cure sickness and accurately predict political races. But the problem is, it's not enough to just store, access and process data. Machine learning and artificial intelligence algorithms are divided into two factors: huge quantities of timely and accurate data. There are four typical methods to be used to acquire data. They are -1. Required self-declared data,2. Self-declared or observed data 3. Volunteered self-declared data, 4. Crowdsourced observed data. For more read the article link written by David Elkington: http://techcrunch.com/2016/03/01/getting-predictive-about-politics-and-everything-else/

Big data analytics are helping organizations connect their data and use it to identify new opportunities. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Here are some sectors where big data are making an impressive impact-: 

# 1. Healthcare 

Big Data Analytics in the healthcare sector helps patients and the healthcare ecosystem to be aware of the appropriate treatments and measures to be taken.

#2. Retail

In the retail sector, analytic solution offers insights to understand and respond to changing customer experience.

 Lee Sedol, The champion Go player, ranked 5th in the world, has beaten Google's AlphaGo artificial intelligence program in their fourth of five matches in Seoul, South Korea. AlphaGo is an ultra-complex abstract strategy game. This particular game requires a high level of human intuitions & higher perceptions and is slightly more difficult than chess. At the match when AlphaGo made a mistake, there was a question mark on its quick response ability.

Read more at: http://www.forbes.com/sites/parmyolson/2016/03/14/human-go-champion-beats-google-alphago-ai-fourth-match/#655b1699292e 

Instagram is a social platform that offers a great opportunity for content marketers to increase their impact. Instagram has an engagement ratio that is eight times the average of the other four social platforms. Instagram continues to expand its ad platform. Recently, it was found that the growth in the number of brands posting video content on Instagram has outpaced growth in the number of brands posting photos (139% versus 91%). The average number of Instagram pictures posted per brand increased by 11%, while the average number of Instagram videos posted per brand grew 29%.

To read more, follow: http://www.business2community.com/instagram/4-instagram-tips-conquer-recent-shifts-digital-marketing-01459035#MFZ8abxaaPP5AZlf.97

In today's world, digital marketing is important for any business. But there are some measure that can be taken to maximize your business. Some precautionary measures that can be taken are as follows. Identify target audience and segment your marketing techniques accordingly.

1.       Digital marketing relies on “tactics” and “techniques” rather than on strategies and goals.

2.       Mobile search optimization and web app development is the most important parameter.

3.       SEO is the key method of success but not everything

4.       Figure out what your audience wants, identify where they are, and adopt a strategy to reach them.

Digital marketing needs continuous update. To sustain in this market, you need to channelize your business in complete digitalization. The main thing is to create an impression by launching an audio visual in the social networking site. Follow buzz marketing techniques to make it viral. Live streaming is the best way to gain market importance. With the rise of relationship marketing, there will be a rise in the cost of digital marketing. Marketing automation and virtual reality are the key process to enhance digital marketing. Moreover location search is gaining popularity than online presence.

To read, follow: http://www.forbes.com/sites/miketempleman/2016/03/08/your-guide-to-mobile-digital-marketing/#1de28212523c

With the increase in reports of urban women being abducted and assaulted, wearables are now also being designed for women's safety. The user of the device just has to click the device that is attached to the jewelry whenever she senses a threatening situation. The app will send an alert to the wearer's network. Family and friends will get the alert through the app on their phone. The App also has a GPS function through which you user can enter your location and time of your current destination and your family and friends can track your movement the entire time. To know more, please read the article by DNA WEB TEAM -: http://www.dnaindia.com/scitech/report-now-a-wearable-technology-for-safety-that-women-will-absolutely-love-2185044