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How Can Embedded Business Intelligence Improve Business?

Well, it's more accessible and placed within applications that business users are already accustomed to. 

Citation: The problem with these stand-alone BI applications is that they are often complicated and carry a steep learning curve. The result of those issues is that often, organizations implement BI applications that then languish because users don’t want to learn how to use yet another application, even if it’s designed to help them work more efficiently.

One solution to this problem is to implement embedded BI. Embedded BI is BI that’s built into existing applications to help users effectively manage daily operations. Rather than introducing a whole new application that includes a learning curve and adds a step to the daily workflow, embedded BI makes accessing and using BI part of an existing workflow.
. . .
Users already know how the application works, and learning a new feature is easier—and faster—than learning a whole new application.

#Embedded   #BusinessIntelligence  

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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In an ambient intelligence world...

[Citation continues...] devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices (see #InternetofThings). 
. . . . 
The ambient intelligence paradigm builds upon pervasive computing, ubiquitous computing, profiling, context awareness, and human-centric computer interaction design and is characterized by systems and technologies that are (Zelkha & Epstein 1998; Aarts, Harwig & Schuurmans 2001):

#embedded: many networked devices are integrated into the environment
#contextaware: these devices can recognize you and your situational context
#personalized: they can be tailored to your needs
adaptive: they can change in response to you
#anticipatory: they can anticipate your desires without conscious mediation.

Ambient intelligence is closely related to the long term vision of an intelligent service system in which technologies are able to automate a platform embedding the required devices for powering context aware, personalized, adaptive and anticipatory services. 

#Automation #AnticipateChange    #Mobile  #FutureTechnologies

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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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Meet Windows for the #InternetofThings

At the Build 2014 conference we learn that Windows for smartphones and tablets less than 9 inches in size will be available for free. Windows may also end up #Embedded  in many more devices, some of them #Wearables  or other things that may prove beneficial for #Lifelogging . I want to see Windows in my lunchbox. Can you say, "lunch analytics" anyone?

Citation:
"You have to ask yourself: What kind of devices are possible when a PC runs on something the size of an eraser?" Microsoft operating system head Terry Myerson asked, holding Intel's maker-focused Galileo computer. The Galileo is a Raspberry Pi-esque DIY development board powered by Intel's low-powered, Internet of Things-focused Quark chip and compatible with the Arduino's popular open-source microcontroller boards.
. . . . 
Continuing the maker theme, Myerson went on to announce that when Windows on the Internet of Things becomes available, it will be absolutely free. That may be because these interactive devices are likely to tie heavily into Microsoft's other services by their very Internet-based nature; Myerson's demonstration leaned on Microsoft Azure's cloud backbone, for example.

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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Insurance company MetLife treats data with a startup attitude

Gary Hoberman at MetLife has shown that rapid IT innovation can happen in the most monolithic and slow-to-adapt industries of insurance. With big data initiatives that focus on improving service for the customer, his high caliber team is making insurance seem cool.

Below are some highlights from his interview at a GigaOM event, and also check out our use of www.videonot.es, a Google Drive app on Hoberman's interview with Financial Times. https://docs.google.com/file/d/0B2GWbzMSkIMedDhYczFCSVBiMDg/edit Thanks +Paul Simbeck-Hampson for introducing that cool notes-sharing tool.

Citation
MetLife is a massive insurance company, serving more than 90 million customers across major markets in America, Europe and Asia. But onstage at Gigaom’s Structure Data event in New York City Wednesday, Gary Hoberman, CIO and SVP of regional application development at MetLife, revealed that when it comes to deploying big data applications, the company prefers to think like a lean, small startup — particularly in its recent deployment of customer service tool MetLife Wall.

“There were about 80 to 90 developers that worked on this project, and we finished it in just 90 days,” Hoberman said.

That lean attitude went towards building the MetLife Wall, a customer service product that organizes particular customers’ data in a format close to a Facebook Wall. The technology, designed to better inform customer service reps while interacting with consumers who call in, achieved a successful deployment with direct help from the people at MongoDB, who Hoberman says helped guide the team to executing the service.

“We really focused on document format, which is the right format for presenting structured data for a customer,” Hoberman said. “We really saw the company itself partnering with us.”

#Finance   #InformationTechnology   #Innovation   #Embedded  

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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Jaguar Land Rover builds data sharing infrastructure
(Nov 2013)

Jaguar Land Rover (JLR) revamped its product lifecycle management (PLM) system around a data-sharing standard to improve car development after Ford sold the company in 2008 for £1.15bn to Tata Motor.

Citation:
Dave Sharrat, senior manager PLM at Jaguar Land Rover said: "We started with existing applications like CAD (computer-aided design), CAM (computer aided manufacturing) and CAE (computer aided engineering) and created a technical architecture to build a new PLM system with single version of the truth. Where appropriate, this is connected to our ERP system."
. . . . 
He said the company needed simple integrated technology, which could provide a single source of the truth for the design of new cars.
Applications in car design and manufacturing are generally semi integrated. Information is often passed from one application to another, but JLR wanted the data to reside in one place, within the application that created it, and provide APIs so other applications could access it.
. . . .
While the whole PLM programme will take three years to complete, he said JLR is starting to see the benefits now, by exposing some of the PLM data in visualisation tools. "We’ve implemented control systems that constantly monitor quality [assurance] data from our production plans using dashboards on an iPad."

#DataWarehouse   #APIs   #Dashboards   #Mobile #DataVisualisation    #Manufacturing   #Collaboration  

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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Big Data in Education: Big Potential or Big Mistake?

This article shares some of the potential and risks of  #BigData  in  #Education . It covers issues of  #Trasparency  to the learner, so that they know how their data is used and by whom. As well as  #Privacy  issues. The biggest benefit is personalised learning environments that give students perspective of where they are at compared to others like them, via  #Benchmarking . Learning Management Systems with  #Embedded   #Analytics  can also enable teachers to engage in more evidence-based  #Collaboration . I like this bit:

"Pearson’s CEO John Fallon presented the notion that 'big data, and the disruptions it can lead to, have led to one of the most creative periods in history in terms of innovation.' Time to harness that in education, he said.

"Speaking later in the day at World Innovation Summit for Education (WISE), Fallon also stressed that Big Data is only as powerful as our willingness to share it with each other.

"'We have to become more willing to share what’s working and not working. In return, all organisations that are trying to tackle big intractable problems in education should be more generous with each others’ ideas and evidence.”'

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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Wisdom Pyramid

Falkayn urges organisations to focus on building the wisdom of their people. He asks, 

The real issue however is how do we inculcate wisdom into our staff so they make wise decisions and not foolish ones?

His representation of the DIKW Pyramid is spot on, although it's example involves a rapid sensory-driven decision. Organisations are up against much more complicated strategic choices.

I would suggest that by sharing different views of information, using  #DataVisualisation   we are better armed at experimenting with potential contextual outcomes, through stories.  #Storytelling  is a way of putting information into context, so by exploring stories organisational players can better prepare themselves to act wisely.

I see DIKW as a way to  #BuildResilience . This could include the aggregation of 'lessons learned' through forms of  #Benchmarking .  People may then have more lenses to see various contexts through, thus more knowledge that can lead to wise wins, rather than harsh lessons.

Ultimately, I argue that organisational  #DecisionMaking  based on more contextual variables of what was previously unknown will result in better strategic outcomes than say, those made alone by an executive with a single interpretation. I see this as good reason to arm supporting analysts with rich forms of  #MarketIntelligence , as well as benchmarking tools. 

More can be said on this. I'd appreciate your thoughts and experience. 

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
Wisdom Pyramid

... there is a catch with wisdom as we only call an action wise when knowledge is applied correctly to a situation. Incorrect application is at worst foolish, and at best thoughtless.

Source: http://blog.falkayn.com/2011/03/is-knowledge-all-there-is.html
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Embedded BI in perspective

#Embedded  BI can provide "access to a broader array of business users without requiring high levels of training to go with it."

#Embedded  may also "be limiting data access to specific data sources and not creating a broader approach to decision-making across the organization. Embedded BI is most intuitive when limiting analytics views and interactions to the questions being addressed within the transactional/operational applications being used. This means that two types of BI may be required – the first being a more holistic approach to information challenges within the organization, and the second requiring more targeted analytics addressed through embedded analytics.

Here's how it's described at +Cause Analytics http://www.causeanalytics.com/features/embedded

Posted by +Dan Durrant 

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Embedded analytics is 'catching fire'

I practically had to get the fire extinguisher out for this one. ;-)

"One of the hottest trends in business intelligence today is embedding analytics capabilities into transactional applications."
....
"Gartner predicts that within two years, 25 percent of analytics capabilities will be embedded in business applications. That is up from just 5 percent in 2010."

"BI for the masses is the mantra," said Quaid Saifee, a business intelligence consultant with Wit Inc. "Vendors are embedding analytics in applications to provide more value to the customer."
....
"Embedded intelligence will be the next hot trend in the BI market," said Van den Bergh. "It is only when BI is invisible to the end user (i.e., they don't realize they are using BI) that BI will become pervasive."
....
"In a manufacturing company, too, analytics might be embedded into process monitoring for preventive maintenance in order to predict risk of process failure or even events that might have a negative impact on product quality. This approach can be extended to intelligent monitoring of all kinds of processes in extreme environments."
....
"...the embedded analytics predict the risk of breakdowns, pinpoint the most likely cause and suggest the best action to fix the problem."

#Consumerisation   #Embedded   #PredictiveAnalytics   #Manufacturing  

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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