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How to make an organisation-wide digital transformation project a success still remains elusive for many

"Digital transformation can be viewed holistically as the confluence of SMAC (social, mobile, analytics and cloud) technologies, cutting through business processes, enabling agile & secure infrastructure, leveraging IoT & connected devises, driven by seamless integration into (and upgrading) of current IT systems and underpinned by actionable insights for sustainable differentiation across customer experience and business efficiency."
#Social #Mobile #Analytics #Cloud #InternetofThings 
. . .
"The business efficiency theme driving digital transformation projects is all around creating differentiation for organisations through one or more of the following: helping an organisation to become more agile and responsive in its ability to identify either opportunities or to protect against threats; taking cost optimisation to the next level by further automating mundane and routine tasks that can be more efficiently handled by intelligent systems; creating better decision making powered by real-time data and insights, rather than by gut-feel and intuition; and unleashing the ability to innovate through the provision of new offerings or different business models."
#DriveInnovation #Automation #ReduceRisk #DecisionMaking 

Posted by +Daniel 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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Taking Big Data-driven optimization to the highest level

Citation: Taking Big Data-driven optimization to the highest level is how companies make the most of their breakage-prone widgets, just as it is the secret to any organization who wishes to establish innovation as a core competency.
. . . 
[A]utomated feedback has been a staple in the equipment maintenance world for a while now. However, there are many other business areas that have yet to take a page out of the broken whatzit playbook. Does your organization, say, optimize its salaries based upon business outcomes — in real-time? Do your security policies balance the cost of security with the corresponding risk of loss, again in real-time? In general, how many of the processes in your organization are subject to continual optimization based upon automated, data-driven improvements?

#RealTime   #BigData   #DriveInnovation   #Automation  

Featured in Data Storytelling for Disruptors
http://blog.causeanalytics.com/2014/10/data-storytelling-for-disruptors.html 

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 computers captain the world’s cargo ships?

Citation: Cargo ships carry the bulk of the world’s trade – but are a major source of pollution. Could computer control go some way to making them cleaner and more efficient? 
. . . 
“There are two primary drivers for automation,” says [Matt Collette, who teaches ship design at the University of Michigan in the United States.]. “One is that human beings are not very good at long repetitive tasks.” Which is of course what standing watch on a long ocean voyage is. “That’s when you see lapses in concentration that lead to the ship getting into a collision or running aground,” he explains. “Automation could reduce those types of accidents significantly, because the computers have no problem paying attention for a two-month voyage.”
. . . 
“If the ship had no people on it, then you’re not going to see that increase in crew costs, so you could potentially have ships sailing much slower than they are today and becoming more efficient in terms of their carbon emissions,” Collette says.

#Automation   #Logistics   #ConserveEnergy   #FutureTechnologies  

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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The eyesight of machines is growing stronger

A lot of new developments in machine vision were revealed at this year's Large Scale Visual Recognition Challenge. All of the winning groups chose to share the details of their technical innovations, keeping them proprietary. / #DriveInnovation  

That means we're likely to see commercial applications a bit sooner. So, in the not too distant future expect #ArtificialIntelligence  to play a bigger role in medical diagnosis, factory robotics and automotive safety systems. The author points out that "a number of carmakers have added the ability to recognize pedestrians and bicyclists and stop automatically without driver intervention." / #ReduceRisk   #Automation  

Still, machines have yet to achieve what scientists call “scene understanding," which entails comprehending the whole story of what is happening in an image by using human language. If they ever figure it out, let me know, so that I can strap one of those machines onto my head. Heh.. / #FutureTechnologies  

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Report: Robots Will Take Over More Jobs Than They Create

1,800 industry experts were surveyed by the Pew Research Internet Project and the Elon University’s Imagining the Internet Center. Half of them predicted robotic technology will create more jobs that it takes away. The other half warned that even more tasks will be performed and taken over by artificial intelligence.

Citation: “There was obviously no clear consensus at all among the folks surveyed,” said Aaron Smith, a senior researcher at the Pew Research Center’s Internet Project and lead author of the report.
Nearly all the experts said things like driverless cars, robotic doctors and nurses and intelligent digital agents would be a part of daily life by 2025.

But they were evenly divided over whether this would be a boon or a curse for human beings.

52 percent of respondents said that historically technology has ultimately created more jobs than it has displaced. They said people will find other forms of work that only human beings can perform; that the technological advances will give us all more time and energy to do more meaningful work.

But the other 48 percent fear that the roll of artificial workers will be unstoppable and that humans will not be able to adjust in time to avoid massive unemployment and social disruption.

#Automation   #TechnologicalUnemployment   #DisruptiveInnovation   #ArtificialIntelligence  

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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Automating Hamburgers

The Momentum burger-bot ... is more of a burger assembly line. 
. . .
Burger robots may improve consistency and sanitation, and they can knock out a rush like nobody’s business. Momentum’s robot can make a burger in 10 seconds (360/hr). Fast yes, but also superior quality. Because the restaurant is free to spend its savings on better ingredients, it can make gourmet burgers at fast food prices. 
. . . 
Earlier this year, McDonalds employees protested outside the fast food chain’s corporate headquarters in Chicago, demanding higher wages. A robotic kitchen might bring improved pay for the front of the house, and a pay cut to zero for the back. Some fraction of the 3.6 million US fast food jobs might be automated by such technology.

#SaveMoney #DisruptiveInnovation   #Automation   #Manufacturing   #Food   #USA  
HT +David Pidsley 

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Using big data to make better pricing decisions

Citation: It’s hard to overstate the importance of getting pricing right. On average, a 1 percent price increase translates into an 8.7 percent increase in operating profits (assuming no loss of volume, of course). Yet we estimate that up to 30 percent of the thousands of pricing decisions companies make every year fail to deliver the best price. That’s a lot of lost revenue. And it’s particularly troubling considering that the flood of data now available provides companies with an opportunity to make significantly better pricing decisions. For those able to bring order to big data’s complexity, the value is substantial.
. . . 
The key to better pricing is understanding fully the data now at a company’s disposal. It requires not zooming out but zooming in. As Tom O’Brien, group vice president and general manager for marketing and sales at Sasol, said of this approach, “The [sales] teams knew their pricing, they may have known their volumes, but this was something more: extremely granular data, literally from each and every invoice, by product, by customer, by packaging.”
. . .
To get sufficiently granular, companies need to do four things.

Listen to the data. Setting the best prices is not a data challenge (companies generally already sit on a treasure trove of data); it’s an analysis challenge. The best B2C companies know how to interpret and act on the wealth of data they have, but B2B companies tend to manage data rather than use it to drive decisions. / #Analysts   #DecisionMaking  
. . . 
Automate. It’s too expensive and time-consuming to analyze thousands of products manually. Automated systems can identify narrow segments, determine what drives value for each one, and match that with historical transactional data. This allows companies to set prices for clusters of products and segments based on data. Automation also makes it much easier to replicate and tweak analyses so it’s not necessary to start from scratch every time. / #Automation  
. . .
Build skills and confidence. Implementing new prices is as much a communications challenge as an operational one. Successful companies overinvest in thoughtful change programs to help their sales forces understand and embrace new pricing approaches. Companies need to work closely with sales reps to explain the reasons for the price recommendations and how the system works so that they trust the prices enough to sell them to their customers. Equally important is developing a clear set of communications to provide a rationale for the prices in order to highlight value, and then tailoring those arguments to the customer. Intensive negotiation training is also critical for giving sales reps the confidence and tools to make convincing arguments when speaking with clients. / #Sales   #HumanResources  
. . . 
Actively manage performance. To improve performance management, companies need to support the sales force with useful targets. The greatest impact comes from ensuring that the front line has a transparent view of profitability by customer and that the sales and marketing organization has the right analytical skills to recognize and take advantage of the opportunity. The sales force also needs to be empowered to adjust prices itself rather than relying on a centralized team. This requires a degree of creativity in devising a customer-specific price strategy, as well as an entrepreneurial mind-set. Incentives may also need to be changed alongside pricing policies and performance measurements. / #Managers   #Enterpreneurs  

#GrowIncome   #BigData  

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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AP is going to automate quarterly earnings stories

Citation: The Associated Press announced in an advisory to customers today that the majority of U.S. corporate earnings stories for our business news report will eventually be produced using automation technology.

Here, Lou Ferrara, the AP managing editor who oversees business news, explains how this leap forward takes advantage of new technologies to free journalists to spend more time on things like beat reporting and source development while increasing, by a factor of more than 10, the volume of earnings reports for customers.
. . . 
We discovered that automation technology, from a company called Automated Insights, paired with data from Zacks Investment Research, would allow us to automate short stories – 150 to 300 words — about the earnings of companies in roughly the same time that it took our reporters.

And instead of providing 300 stories manually, we can provide up to 4,400 automatically for companies throughout the United States each quarter.
. . . 
We are going to use our brains and time in more enterprising ways during earnings season.
. .
Instead, our journalists will focus on reporting and writing stories about what the numbers mean and what gets said in earnings calls on the day of the release, identifying trends and finding exclusive stories we can publish at the time of the earnings reports.

#ArtificialIntelligence   #Automation   #Finance #FutureTechnologies     #SaveTime   cc  #Analysts   #USA  

Posted by +Daniel 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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More News Is Being Written By Robots Than You Think

Citation: Software is writing news stories with increasing frequency. In a recent example, an LA Times writer-bot wrote and posted a snippet about an earthquake three minutes after the event. The LA Times claims they were first to publish anything on the quake, and outside the USGS, they probably were.

The LA Times example isn’t special because it’s the first algorithm to write a story on a major news site. With the help of Chicago startup and robot writing firm, Narrative Science, algorithms have basically been passing the Turing test online for the last few years.

This is possible because some kinds of reporting are formulaic. You take a publicly available source, crunch it down to the highlights, and translate it for readers using a few boiler plate connectors. 
. . . 
Narrative’s approach can be applied elsewhere too. The firm recently launched an app that works with Google Analytics to transform raw website metrics (traffic, sources, referrals, demographics) into accessible, natural language reports. These could be useful in any business, a kind of automated analyst to help make sense of big data sets.

#ArtificialIntelligence   #Automation   #BigData   #FutureTechnologies  cc #Analysts   

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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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
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