Post has attachment
Job hunting the big data way

Recruiting firms are looking beyond the CV to how their applicants write sentences. Through text analytics they are making a better fit between company cultures and applicant personalities. They can also predict how long an employee is likely to stay with a job before moving on!  / #HumanResources   #TextAnalytics   #DataMining  

Citation: Nearly half of new recruits turn out to be duds within 18 months, according to one study, while two-thirds of hiring managers admit they've often chosen the wrong people. / #TodaysChallenges  
. . . 
"[I]nnovative personality tests are supplements to, not replacements for, big data analytics, many recruiters believe. / #BigData  
. . . 
Analysis of historic data from tens of millions of job applicants, successful or otherwise, is helping employers predict which new candidates are likely to be the best based on a comparison with the career paths, personalities and qualifications of previously successful employees. / #Analysts  

"Now we're able to use our own data to track how long candidates stay in a role before seeking new opportunities," says Geoff Smith, managing director of recruitment consultancy Experis. / #PredictiveAnalytics  
. . . 
San Francisco-based company Evolv found that long-term unemployed people perform no worse than those who have had more regular work.

It also found that prior work experience and even education are not necessarily indicators of good performance in some roles. / #Education  
. . . 
Our blogs, websites, Twitter rants and LinkedIn profiles reveal as much - if not more - about us than a semi-fictionalised CV.

"The days of keeping your personal and professional profiles separate are over," warns Experis's Geoff Smith.

"Social media is a great platform for individuals to demonstrate their expertise, experience and enthusiasm for their field of specialism. However, candidates need to be conscious of the online reputation they are building and the data trail they are leaving behind." / #Social  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
When robots buy you gifts with your money

Cass Sunstein produced a nationally representative survey in the #USA, with about 500 respondents and a margin of error of plus or minus 4.5 percentage points. He discovered that a "significant percentage of Americans already welcome predictive shopping." What is predictive shopping? Well, he explains it without saying anything about #robots, but you know, it's possible.

Citation: AS almost everyone knows, we have entered a period in which companies can predict people’s purchases, often with uncanny accuracy. In the near future, they might even use those predictions to enroll you in special programs in which you receive goods and services, and are asked to pay for them, before you have actually chosen them. Call it predictive shopping.
. . .  [Example] . . .
The situation was presented like this: Suppose that over the years, your favorite online bookseller has compiled a great deal of information about your preferences. On the basis of a new algorithm, it thinks it knows what you will want to buy before you do. I asked, would you enroll in a program in which the seller sent you books that it knew you would purchase, and billed your credit card? (Anyone could send the book back for a refund or just opt out of the program.) Fifty-nine percent said no, but 41 percent said yes.

Read more at the NYTimes: http://goo.gl/2CosDB

#PredictiveAnalytics   #Retail   #ArtificialIntelligence  

Posted by +Dan Durrant Image: Employees of a food stand take pictures of Titan, a robot created by England Cyberstein Robots, performing at the Danilovsly market in downtown of Moscow, Russia, 12 May 2014. (EPA/SERGEI ILNITSKY) http://goo.gl/2Vk4zc
_ _ _
Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
Photo

Post has attachment
HealthMap software flagged Ebola 9 days before outbreak announced

Citation: The Ebola outbreak in West Africa is focusing a spotlight on an online tool run by experts in Boston that flagged a "mystery hemorrhagic fever" in forested areas of southeastern Guinea nine days before the World Health Organization formally announced the epidemic.

HealthMap uses algorithms to scour tens of thousands of social media sites, local news, government websites, infectious-disease physicians' social networks and other sources to detect and track disease outbreaks. Sophisticated software filters irrelevant data, classifies the relevant information, identifies diseases and maps their locations with the help of experts.

#EmergencyServices   #PredictiveAnalytics   #Maps   #Africa  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
Uncovering the realities of today’s digital marketing landscape (whitepaper)

Citation: Sitecore recently engaged an independent research firm to conduct an international study on digital marketing trends and challenges. A few highlights:

• 73 percent of marketers plan to increase their digital marketing spend in the next year.

• In the next year, 44 percent of marketers plan to use a predictive analytics tool, but only 18 percent use predictive analytics today.

http://venturebeat.com/2014/06/04/uncovering-the-realities-of-todays-digital-marketing-landscape-whitepaper/

#Analytics   #Sales   #Marketing   #Purchasing   #PredictiveAnalytics  
Posted by +Dan Durrant

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
Photo

Post has attachment
Hospitals Are Using Credit Card Data To Predict People's Health

Citation: So, this sounds creepy: Some hospitals are identifying high-risk patients by buying loads of consumer data (i.e. credit card purchases, store loyalty programs, etc.) and plugging it into algorithms so they can step in before the customer gets sick. According to Bloomberg Businessweek, it's currently being used by Carolinas HealthCare System, which is using that type of data to survey the health of its two million members.

How does it work? Take, for example, an asthma patient. A hospital would decide how likely a person would arrive in the emergency room by tracking how often they have refilled their medication, if they're caught buying cigarettes, and if they live in an area with a high pollen county. "The idea is to use Big Data and predictive models to think about population health and drill down to the individual levels," said Michael Dulin, a chief clinical officer for analytics and outcomes research for the medical network, in the Bloomberg Businessweek report.

#Privacy   #HealthCare   #BigData   #PredictiveAnalytics  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
#BigData Helps Drive Transportation Planning

Citation: “One of the biggest challenges facing the global transportation industry today is the massive amounts of rich data being gathered but underutilized by urban transportation enterprises,” Wade Rosado, director of analytics for Urban Insights, said in a statement announcing the new data practice.

The company said its predictive analytic tools present traffic information as data visualizations to help transportation authorities understand how to maximize network capacity as well as the choices made by travelers. “When we identify stress points in the transportation network, we can help agencies define actions to remedy those situations,” Rosado claimed.

#Analytics  #Logistics #PredictiveAnalytics   #DataVisualisation  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
The #InternetofThings Ecosystem: Unlocking the business value of connected devices

This is the year that some experts predict more data will be generated by machines than by people—with that expectation comes renewed attention on the promise of IoT. In a recent survey, nearly 75 percent of executives indicated that their companies were exploring or adopting some form of IoT solution, and executives believe that integrating IoT into the main business is necessary in order to remain competitive.
. . .  .
Re: #SaveMoney  
Delays in response time; lost, stolen, or misdeployed assets; process inefficiencies; and human error all drive higher operating costs for businesses. The right combinations of connected devices, infrastructure, data analytics, and processing—specific to the industry—can help companies reduce these types of costs. This is where the real value of IoT comes into play – in being able to take advantage of the almost boundless potential provided by the 
mass quantities of data produced in IoT transactions and making it valuable through advanced analytics.

Re: #RealTime   #Analytics   #Automation   #Logistics  
For example, real-time data flowing from multiple sources, transferred automatically and without human intervention, can be integrated and analyzed (“mashed up”) to make business decisions. Specifically, a packaged foods distributor might mash point-of-sale data with weather forecasts, truck locations, and production data to predict stock-outs, reroute distribution, and reduce stale inventory write-offs.
. . . 
Re: #Lifelogging   #HumanResources #Mobile #Healthcare  
e, wearable devices allow companies to digitize employees, 
which may include tracking and providing feedback on behaviors that affect wellness or job effectiveness, and could improve productivity across the workforce with the right supporting systems. But wearables enable a far more innovative product/service in mobile health (mHealth) platforms—one that may actually disrupt the health care industry (see sidebar). These 
mHealth platforms can deliver remote monitoring for patients, especially veterans and the elderly, who are in a home environment or reside in remote areas. This allows hospitals to not only offer much-needed, lower-cost home care rather than a hospital visit, but also delivers patient care in a more comfortable setting.
. . . 
Re: #BigData   #PredictiveAnalytics   #DataVisualisation   #ArtificialIntelligence  
With the rising volume of data generated by connected devices, predictive analytics may deliver customer insights and even anticipate customer behavior. Businesses may use advanced analytics on top of connected machines to actively sense and shape customers behaviors, as well as tailor products and services at timely customer decision points. Analytics coupled with interactive visualization tools will allow not only large amounts of clean data but also sparse and fuzzy data (i.e., cognitive computing) to yield insights.
. . . 
Re: #Security   #Privacy   #Cloud  
[T]echnology is advancing to provide greater levels of security. One of the interesting developments is the ability for homomorphic processing to perform real-time algorithms on encrypted data, alleviating the need to de-encrypt and re-encrypt data, making cybersecurity purely an encryption problem. As a case in point, IBM inventors recently received a patent for an encryption technique that may become an alternative to traditional M2M security. The homomorphic encryption (HE) technology allows entities in the IoT ecosystem to perform operations on customer data without decrypting the original data, thus maintaining its confidentiality.35 According to Global Industry Analysts, the HE market is forecast to grow quickly, given the escalating need for tightened security measures at each tier of data transmission across public networks (e.g., Internet and cloud-based services of smart computing and connected devices).

For the full paper: http://goo.gl/tcgU8k

Thanks +Inma VP 

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
Photo

Post has attachment
Top 5 Benefits of HR Analytics Which is Accelerating Google Growth

Citation: [Google] uses Predictive Data Modelling better known as HR analytics which help them to predict the future and understand how risk is getting distributed across the organization. Many companies have started building on this however they will take time to catch up with Google.

- Measuring turnover and understanding its causes so as to control both financial and productivity loss
- It gives the power to measure, monitor and predict the effect of risk factors over time and prevent organizational risk by devising back up plans based on insight and foresight
- Predict future leadership needs and recognize the strengths and vulnerabilities of the employee in the organization
- Understanding and mitigating risk linked to resignation, absenteeism, loss of critical manpower
- Critical skills tracking and predicting which skills will be required in future

#PredictiveAnalytics   #HumanResources   #ReduceRisk  

Posted by +David Pidsley w/ +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
The health tech revolution will turn all of us into big data wonks

Citation: With the influx of wearable technology such as FitBit, many of us are starting to track of and analyze our data and even compare our data with others. With the ability to aggregate data, some consumers combine their FitBit with a scale to analyze their activity and weight. / #Lifelogging  
. . . . 
Companies like Apple and Samsung are working to simplify how biometrics and other health data are collected, analyzed, and shared. This consumerization of big data will mean as much to individuals in the near future as sales forecasting means to businesses today. / #Consumerisation   #BigData  
. . . . 
With this type of data collection, real time biometrics could be transmitted to doctors. Alerts can go out to doctors that can help save lives, such as an irregular heartbeat that can be a precursor to a heart attack or indicate other serious health issues. A single heart rate measurement isn’t a lot of data, but continuously tracking someone’s heart rate, weight, body fat percentage, body weight, diet, activities, sleep patterns, blood pressure and other metrics can add up over the years. New innovations will allow individuals to compare their health metrics to others in similar demographics, helping them set goals and evaluate how effective exercise and other lifestyle changes have been. / #RealTime   #PredictiveAnalytics   #Benchmarking   #Demographics  
. . . . 
Analytics puts patterns together within data and makes sense of it, providing us actionable information. It can target our needs and give us personalization with higher accuracy. And as mobile devices, wearable devices, and appliances get connected to each other, we will have access to greater insights to improving our health over our lifetime. / #Mobile   #Healthcare  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
Addressing improper payment risk in government contracts

Citation: Whatever their cause, improper payments—that is, overpayments, underpayments, payments made without substantiation, or payments otherwise involving fraud, waste, abuse or errors—are in the government’s crosshairs as never before. / #PreventFraud   #CentralGovernment  
. . . . 
To address the increasing risks associated with improper payments, government contractors and other businesses can implement their own high-tech analytical and monitoring program focused on payments they receive from the government, as well as payments they make to subcontractors, whether or not as part of a government contract. A clearer understanding of the tools involved – and the types of expertise needed to use them effectively – can help contractors and other businesses decide which might be most helpful in their operations. /   #Partnerships #ReduceRisk    #ProfessionalServices   #SupplyChain  
. . . . 
Predictive analytics is a methodology utilizing machine learning and statistics to analyze historical and current data to predict future actions and events. Using advanced analytics and algorithms, such as econometric models, neural networks, decision trees and self-organizing maps, data can be mined for trends, patterns and behavior that will provide, for example, indicators of anomalous activity that go beyond rule-based detection. In short, one variable, or a number of variables acting in concert, are analyzed to assess whether a relationship exists with other variables of interest. / #PredictiveAnalytics  

Potential benefits of predictive analytics include:
- Accelerated identification of anomalous activity early in the process
- Reduced false positives and increased accuracy regarding suspected
behaviors
- Ability to incorporate updated information and findings to continually refine the predictive model
- Ability to identify new schemes or patterns without prior knowledge
. . . . 
It is possible to combine the best attributes of data analytics, continuous monitoring and predictive analytics into an even more effective approach. Essentially, the elements of past, present and future can be viewed and analyzed in one hybrid fraud detection framework. This affords an organization even deeper insight into the nature of its payments and the effectiveness of its operations. / #AnticipateChange  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
Wait while more posts are being loaded