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Who Will Own The Future Of #Healthcare ?

Patients are on a #Search for health empowerment. 

Citation:
In the social media age, consumers are taking back some of that power by tapping into online communities and FDA clinical trial sites to gather additional information. / #Social  
. . . . 
Consumers now share their medical bills online, and healthcare pricing data is being aggregated to create transparency for consumers. Similarly, consumers share their performance reviews of doctors and hospitals. / #Transparency  
. . . . 
Patient groups such as the Cystic Fibrosis Foundation directly fund and develop novel therapies that benefit patients in partnership with industry. The 2010 Patient Protection and Affordable Care Act established The Patient-Centered Outcomes Research Institute, which enables patients to become directly involved in improving healthcare research and outcomes. / #USA   #Analysts  
by Joon Yun, M.D.

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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Bit.ly data gets big

#Social   #Search   #BigData  
Semantic Search and the 4Vs

At its very core semantic search is a big data issue. It is in fact the answer of search to the problem of the ever escalating amount of information that's available on the web. Bit.ly has, for some time now, tried to understand what it can do with the quality data it accumulates. It thought it would try to get into search but search (as Microsoft has found out repeatedly) is very difficult to do and it is extremely difficult to do well and in a semantic web you're only as good as the amount of data you have indexed and the amount of data you can index. That gives Google a natural headstart over any other newcomer. 

So Bit.ly has done the next best thing: It has taken the amount of data it has acquired through its URL shortening service and its acquisition of Digg and it has created a specific, targeted data product that's available to license. To quantify its value: "Bitly processes half a billion links and 6 billion clicks each month. “On those 6 billion clicks, we see over 600 million active users." Being able to understand this through contextualized analysis can give someone a strong competitive advantage as they try to second-guess what's happening on the web. 

Bit.ly has partnered up with +Moz in this instance. (http://goo.gl/MjHHVo). In the days before semantic search automated SEO tools were all the rage for anyone looking for a little extra help. Now it is data and its qualification. 
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Why Automated Semantics Will Solve The BI Dashboard Crisis

Do we really need so many dashboards?

Dan Woods answers, "no. In fact, if we can figure out a way to have fewer dashboards each of which answer more questions — which is essentially the victory of QlikView and Tableau — we cannot only reduce the number of dashboards but also bring BI to a whole new population to the world of users." In 7 statements he lays out the logic for why "combining natural language and semantics can create dashboards that can answer many questions so that we can get by with many fewer of them."

1) Most ways that BI is consumed is based on static queries or models of information that are created by hand.
2) Even when these models are configurable, such as parameterized reports or dashboards, severe limits are placed on the amount of data included and the way it can be displayed.
3) Systems such as QlikView and Tableau have dramatically expanded the size of the model that can be represented using a single interface, but even these systems are still based on static models.
4) Because the amount of available data will become overwhelming. Manual modeling just won’t be able to keep up.
5) Therefore, the next generation of BI will be powered by automatically created semantic models.
6) Natural language provides the simplest way for users to express their desires in terms of a question or a request.
7) Many systems (IBM Watson, Microsoft’s Q&A in Power BI for Office 365, DataRPM) have shown that natural language can be parsed and connected to semantic models and lead to visualizations that can then be refined.

#Dashboards   #Search   #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

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What needs to happen for BI to tackle the next wave of adoption?

"BI systems in use now mostly represent what I call Bottom of the Funnel technology. The funnel is a concept used by marketing to explain the journey of a user in their understanding of a technology and also to organize the different ways of attracting them."
....
"The reason that most BI represents Bottom of the Funnel technology is that it is created for a specific context. A lot is known about the end-user and what they want, just like at the bottom of a marketing funnel. Dashboards to support a specific role in a business process, advanced analytical environments, complicated multi-sheet spreadsheets, and thick reports all fall into the bottom of the funnel category. They are super helpful for a small segment of the population."
....
"The perfect Top of the Funnel, aka as TOFU, BI would be like HAL in 2001: A Space Odyssey. You could just ask questions and get answers. We are a long way from that sort of experience, but some huge progress has been made in the past few years. At the most ornate level is IBM’s Watson, of course, but we must be able to do more with less to really solve the TOFU problem."
....
"As I pointed out in 'How Semantics Can Make Data Analysis Work Like Google Search', DataRPM has many elements of this in place. Microsoft PowerBI for Office 365 is also exploring what can be done with queries expressed in natural language. Such systems are in their early days, but the best ones already work well enough so it is clear they will get better as the ability to automatically create semantic models of data and connect them to both natural language and to visualizations improves."

#Dashboards   #DataVisualisation   #Search  

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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Google buys UK artificial intelligence startup Deepmind for £400m

Google has acquired, "DeepMind technologies, a London-based artificial intelligence firm which specialises in machine learning, advanced algorithms and systems neuroscience." 

#ArtificialIntelligence #Search   #UK  

Posted by +Dan Durrant 

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Seeing Q&A #Search in action

Today +David Pidsley gave me a quick demo of the search feature in Microsoft's Power BI, called Q&A. It became clear that once familiar with your data model, you can automatically produce charts, graphs, tables, and maps, just by searching for what you'd like to see (e.g. “Show me the sales of widgets in Hampshire this year" . He proceeded to save a set of questions and visualisations to a dashboard view with multiple reports. It's clearly a very accessible interface for users acquainted with doing BI work in Excel 'spreadmarts'. 

(More on Q&A: http://goo.gl/oMQhZN)

I now understand why Wayne Eckerson, business intelligence expert and author, would say, "Some believe that search, with its familiar and simple keyword interface, is the next generation ad hoc query tool. Others see a role for search in helping guide users to relevant information within reports and data repositories and integrating diverse data sets on the fly without need for traditional data integration."

tdwi.org/webcasts/2010/08/when-search-and-bi-collide.aspx

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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Search feature in Business Intelligence

"BI applications typically have been an 'island,' accessed by power users and holding sensitive -- often financial -- information. But now that BI's role is changing, search is an attractive way to make information available to non-power users."
....
"BI search must be deployed strategically if it's going to be useful, according to IDC analyst Vesset.

"Just slapping in the search technology doesn't make sense," Vesset said. "Companies need to figure out which applications and processes can benefit from search."
....
"A lot of companies have hundreds or even thousands of reports developed over time. There's a productivity value in users finding something faster," Vesset said.

#Search   #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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