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Tech to encourage and support employee engagement

"From the ubiquitous, but now updated, employee survey to social media platforms and collaboration tools, technology offers businesses a way to get staff working together, discussing the firm’s mission and bonding socially, all in ways that are quantifiable and observable by management."
. . . 
"For years, the easiest way for companies to figure out how motivated their workers were was to just ask them, usually in infrequent employee surveys or once-a-year reviews. The logic behind this is still sound, but technology now allows firms to do it continuously and less obtrusively with online platforms. Instead of a long survey at the end of the year or a one-off opportunity at the yearly appraisal, staff can give feedback daily or weekly with mini-questionnaires on platforms such as TINYPulse or even just emotional responses – a simple click on a smiley, angry or sad emoticon with software such as Morale.me or emooter. Real-time feedback like this can help companies to pinpoint any problems before they get serious, something that’s particularly useful when the issue is a minor one. If dirty coffee cups in the kitchen are enraging your staff to the point where it’s a distraction, that’s valuable information with an easy fix."

#Social   #TextAnalytics   #HumanResources   #Collaboration   #DecisionMaking   #Collaboration  

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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

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From Sentiment Analysis to Enterprise Applications

“My advice is about WHO should be adopting the use of sentiment technologies.  Give it to the people that run real metrics in the company.  If you let market research people control this tool, you will move too slowly.  If you give it to the social media engagement group, you will get no strategic value from it.  Give it to the operations people, who have to create better forecasts and design real-time key performance indicators for the business.  This is where the real strategic and tactical value lies for sentiment analysis.” - Marshall Toplansky, president of “mass opinion business intelligence” vendor WiseWindow

#Social   #TextAnalytics   #Analysts  

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

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We’ve struck #BigData! Now what do we ask it?

Citation re: #InformationTechnology   #Analytics  
The IT industry has progressed from the iron age (mainframes and minicomputers) to the software age (operating systems, databases and applications) to the age of data, according to Mike Hoskins, CTO of Actian. Google, Apple and Amazon epitomize this content-delivery era, though the search-engine giant is the only one built primarily on data analytics.

If, as Tim O’Reilly posits, data is the new oil, the question isn’t where to find it, but what to ask it. 
. . . 
Re: #BusinessIntelligence  
Some experts now say BI is bifurcating again, thanks to Big Data, and the winners will be in “data discovery,” not BI.
. . . 
Despite the buzz around discovery and personalization, traditional BI tools haven’t seen an uptick in adoption, according to Howson’s survey of 513 respondents in 2013. Her firm measured adoption as a percentage of total employees at 22%, down several percentage points since the survey was first conducted in 2006. That dovetails with findings in the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms report of February 2014. The study claimed that large-scale, IT-centric systems-of-record reporting with online analytical processing and ad hoc query that traditionally comprised BI never caught on. Rather, a five-year trend shows legacy BI platforms are being complemented or replaced by “business-user-driven data discovery techniques.”
. . . 
Re: Data Scientists & Chief Data Officers #HumanResources  
“‘Data scientist’ dates back to 1974, when computer scientist Peter Naur used it,” said Carla Gentry, founder of Analytical Solution in Louisville, Ky. She has more opinions about the topic than a BI vendor can shake a stick at, and has shared them widely on blogs and at conferences.
. . . 
According to Gartner analyst Mark Raskino, in 2014, Chief Data Officer “is one of those titles that has been rising in visibility over the last two or three years,” he blogged. To be precise, he found more than 100 chief data officers in large companies, “more than double the number we counted in 2012.”
. . . 
Re: Dark Data #TextAnalytics   #PreventFraud  
“The category of dark data is very broad. Gartner says it’s data you collect, process and store, but fail to use for other purposes,” said Don Dew, director of marketing for Parascript, who said that call data and images can also be included in this category. His company’s longstanding handwriting-recognition solution, already employed by the US Postal Service, FiServ, IBM and others, could be part of a solution designed to convert the meanings of dark data into something businesses can act on.
. . . 
“Dark data is starting to get a lot of mileage,” said Bob Larrivee, director of custom research at AIIM. “The idea is that all this information is sitting out there, but nobody accesses it and gains the maximum benefit from it.” Possible applications range from fraud detection, large analog conversions, litigation discovery, signature detection or comparison, and sentiment analysis of hand-written annotations to documents.

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

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Spy device Tweets private conversations

Take a look at Conversnitch - https://twitter.com/conversnitch

[The]  tiny new spy device aims to automatically transcribe and Tweet overheard conversations. 
. . . 
One of the creators, Kyle McDonald, released a video of the device being connected to a table lamp at a bank, in a hanging lamp at a McDonald's, in a library light, and even a street lamp in a New York City park.
. . . . 
Their Twitter feed shows conversations they say have been captured by their device.
. . . 
McDonald told Wired that Conversnitch is just a taste of the real privacy threats facing Americans in an age of the sweeping NSA surveillance revealed by Edward Snowden.

#Privacy   #TextAnalytics  

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

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Obama’s top data guy is leading team of 48 scientists to help non-profits use big data

Citation: Obama’s chief data scientist Rayid Ghani has just summoned 48 socially minded aspiring data scientists to Chicago this summer for a fellowship called Data Science for Social Good (DSSG).

Funded by Google chairman Eric Schmidt, this fellowship started last year and this year is its second time “to tackle problems that really matter.” This year, projects partners include World Bank Group, City of Memphis, and Montgomery County (MD) Public Schools.
. . . 
One project this year that can help with the development of such a tool is tackling “text analysis of government spending bills to understand pork spending.” In this project, DSSG mentor Joe Walsh, a political science PhD candidate from University of Alabama, will assist a group of four students in “identifying earmarks using machine learning methods” to figure out where the money has been allocated. Sunlight Foundation provides data sources, and the Harris School of Public Policy at University of Chicago will provide more technical expertise.

#TextAnalytics   #Purchasing   #CentralGovernment   #USA   #Transparency   #BigData  

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

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Business intelligence for mobile services: turning customer behaviour into continuous service improvement

Citation: Mobile services have a distinct advantage over other delivery methods:  they can easily capture information about customer behaviour.  Analysing the quality of the user base and customer behaviour patterns can lead to specific recommendations for service improvement – if we have a replicable way of producing this analysis, we also have a way of testing whether changes produce the improvements we expect. / #Mobile  
. . . . 
As ever, quantitative data on customer behaviour patterns generates many more questions than it answers!  The only way to understand the ‘why’ of these activities is to couple these data insights with available qualitative information, including insights from monitoring and evaluation work. 
. . . .
[S]ources of data available for business intelligence are: user testing results, phone surveys, interviews, record of marketing activities and service improvements. In combination with qualitative insights, data-based evidence of challenges can be formed into concrete recommendations.  Implementation of these recommendations can be further monitored and re-analysed in a process of continuous service improvement. / #TextAnalytics  

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

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Could voice technology be the next big wave?

Citation:
During Mobile World Congress, Jae-woan Byun, the CTO of SK Telecom, condemned current voice offerings as “boring for users” but promised a “second tsunami” that could change everything. / #VoiceInterfaces  
. . . . 
Conversations will follow us from home to car to office — jumping automatically from device to device. / #InternetofThings  
. . . . 
And for our most private conversations and transactions, speech will continuously authenticate us – not simply at the outset of a conversation. / #Privacy   #Security  
. . . . 
[N]ew features will be simple and easy to use, in the same way that the iPod made mobile music easy. / #Mobile  
. . . . 
[W]e won’t even notice a learning curve. / #Consumerisation  
. . . . 
Moving forward, voice calls will come complete with context, such as where the user is stuck in a business process. / #Embedded  
. . . . 
[W]e will be able to jump to the 15 seconds that mattered in that last call and have perfect recall of all our conversations. / #DataWarehouse  
. . . . 
[I]ntelligent assistants [...] will help us perform various administrative tasks, like scheduling a meeting, querying past correspondence or adding a task to your to-do list. / #ArtificialIntelligence  
. . . . 
[A]utomated real-time subtitles and translation will become commonplace. / #RealTime   #TextAnalytics  

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

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Strange Sentiment Analysis Use Cases: Bias Detection

Rami Nuseir shares a few of the "coolest sentiment analysis use cases" he says he has come across in the last year. The first  involves Flyer Experience Tracking and the second is Dream Analysis but his favourite  (as well as ours) is Bias Detection:

" [T]he winning team from the Viafora Big Data Hackathon used sentiment analysis provided by Semantria to build an open-source Chrome plugin that tracks author biases. When you run it, it checks the author name of whatever article you’re currently reading. It then pulls up and analyzes other works written by the same author, and pulls out his or her opinion trends using opinion mining & sentiment analysis.

"For instance, you’re reading the Huffington Post, and there’s a piece by John Doe that’s bashing the latest new Apple product. Click the plugin, all articles by John Doe appear on the side, with keywords and sentiment scores extracted. If you notice that iPhone, iPad, and Macbook are all negative, you’ll know that John has a tendency to hate on Apple products. Pretty cool, right?"

#TextAnalytics  

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

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Why Sentiment Analytics Should Be A No-Brainer For Organisations

"Sentiment analytics is valuable for almost any company in any industry. The analysis of what is being said online will provide retailers with additional insights into what customers are really looking for and it will enable retailers to optimize their assortments to the local needs and wishes. Earlier I already covered Nestlé, as they track the sentiment of their 2.000 brands to know what their customers think, to deliver products that they want and to prevent crisis’s from happening. Governments can use big data sentiment analytics to discover potential areas of civil unrest and this can help to take preventive action if required. It can help to address issues before they spread too big and can help to improve the service."

#Social   #TextAnalytics   #Retail   #LocalGovernment   #CentralGovernment   #BigData  

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
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