predictive analytics

Using Systems and Analytics To Beat Covid- Italy’s Experience

July 17 in Business Intelligence, Business Models, Strategy, Uncategorized by Paul Silverman | Comments Off on Using Systems and Analytics To Beat Covid- Italy’s Experience

Using Systems and Analytics To Beat Covid- Italy’s ExperienceLessons to be learned here. Data and science based decision rules drive the process. Well defined, standardized systems communicated to all. No one ‘makes it up’ as you go along- you stay with the plan and modify as needed. Management discipline, analytics coupled with a cohesive reporting and execution, solid management- that is a winning formula. The numbers and results in Italy speak for themselves.

Is this a surprise? Not to any senior management executive who has managed major programs, launched new ventures or addressed critical business issues and understands management analytics and how they are used. No question we are in tough challenging times, but there are proven ways to win here and the Italy experience provides one blueprint on how it can be done. Let’s get moving,, all working in the same direction, save lives and get back to normal. Too much tine and too many lives lost which could have been avoided.

https://www.thedailybeast.com/italy-finds-tens-of-thousands-of-covid-19-casesliterally-at-random?ref=scroll

Paul B. Silverman

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Forbes-Roundup Analytics,Big Data,BI, IOT

November 13 in Business, Business Intelligence, Business Models, Entrepreneurship, Internet of Things, IOT, Predictive Analytics, Strategy, Uncategorized by Paul Silverman | Comments Off on Forbes-Roundup Analytics,Big Data,BI, IOT

IOTExcellent article in Forbes on big data, analytics, and business intelligence. You can see my comments (top comments section)  and the Forbes article at Read More








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More Mobile Devices Than People-IOT?

November 13 in Business, Business Intelligence, Business Models, Entrepreneurship, Internet of Things, IOT, Predictive Analytics, Strategy by Paul Silverman | Comments Off on More Mobile Devices Than People-IOT?

Interesting article in AssetDNA.com “Is Business Ready for the ‘Internet of Assets’?”

Here is a link to the AssetDNA.com article

Article quotes Digital analyst GSMA Intelligence that “… there are now more than 7.28 billion active mobile connections globally compared to 7.20 billion humans as per the US Census Bureau’s world population clock. What is more, these gadgets are multiplying 5 times faster than we are.” Read More








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Global Logistics Report:IOT /Analytics Impact

November 11 in Business, Business Intelligence, Business Models, Entrepreneurship, Predictive Analytics, Strategy, Uncategorized by Paul Silverman | Comments Off on Global Logistics Report:IOT /Analytics Impact

cargo shipsExcellent global logistics report by Colliers – check out last several sections on “Last Mile Innovations” in U.S., Europe, EMEA, and Asia Pacific

Further reinforces the outlook I and many others share – significant opportunity ahead for innovative integrated analytics and IOT applications that change business processes to lower costs, increase revenue, and improve strategic position. Read More








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$9 M Google Ventures Funding… And Shows Future of Digital Publishing

July 8 in Business, Business Models, Entrepreneurship, Predictive Analytics, startup, Strategy, Strategy, Venture capital by Paul Silverman | Comments Off on $9 M Google Ventures Funding… And Shows Future of Digital Publishing

Book Pile BlogRecommend reading the Fast Company article “The Picture Book That Parents Worldwide—And Google Ventures—Can’t Put Down” http://www.fastcocreate.com/3048158/the-picture-book-that-parents-worldwide-and-google-ventures-cant-put-down

Take a good look here and you see where digital publishing is heading as print-on- demand, analytics, creative software, graphics design, and content creation merge to create what looks like a new market sector.

When we here about personalized children’s books we think about a child’s name inserted into the same story and replicated for others. Here we have a new paradigm using algorithms to create customized stories printed with high quality illustrations.

Here is what #Google Ventures says: “We don’t look at them as a book publishing company,” says Avid Larizadeh Duggan, a London-based general partner at Google Ventures. “It’s a platform for the best personalized content for children’s entertainment on multiple platforms. They’re redefining a category.”

When you read this article, I suggest keep the following points in mind:

  • Automated content creation using algorithms and software is a new frontier- as noted “… there are tens of thousands lines of code for each book delivered”
  • This is a technology not a book publishing startup –when you review the article that is clear
  • The team identified a market opportunity, organized a talented team, and then pursued the business. Market opportunity defined first, then technology solution- that is the way it is done to avoid having a creative technology looking for a market, a problem we often see with early stage companies

So where is this heading? Here are may perspectives:

  • The content creation analytics and software will advance quickly- we can envision more powerful and multi-threaded content creation options emerging- I expect these will be driven by start-up firms
  • We will move beyond the children’s book market- what I call ‘adaptive’ content creation will also address other traditional book publishing markets
  • Adaptive, personalized content creation has other applications in education and training. Customizing content to adapt to readers’ learning styles and disabilities, personalizing training content based on readers’ skill level; developing personalized healthcare education materials which adapts based on staff background, experience, their optimum learning approach are some of the many possibilities here.

Bottom line – like 3D printing, this is another disruptive breakthrough that I believe will open many exciting opportunities to create value. Recommend all stay tuned as this develops.

Paul B. Silverman

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.








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Comments on Forbes Article – “Don’t Rube Goldberg Your IOT”

July 7 in Business, Business Intelligence, Business Models, Predictive Analytics, Uncategorized by Paul Silverman | Comments Off on Comments on Forbes Article – “Don’t Rube Goldberg Your IOT”

12Commented on Forbes Article – “Don’t Rube Goldberg Your IoT”

To successfully develop IOT solutions, we need to recognize IoT is a technology and learn from lessons from past revolutions such as e-commerce, EDI, and others. We need to also understand the role analytics will play in the IoT revolution which I also emphasized in my comments.

Here is a copy of my comments:

Thanks for the insightful IOT article and how you can avoid a ‘Rube Goldberg’ technology solution.

I have concerns about today’s IOT revolution based on my experience, working through other ‘revolutions’ such as e-commerce, EDI, cloud computing, analytics, and others. We are making progress on technology, security, interworking and similar challenges but I see lessons learned from other revolutions we must address.

Here are the 3 top critical success factors needed to create a mass market IOT:

1. Standards must move from ‘corporate’ internetworking to ‘market’ internetworking
We learned in the e-commerce/EDI revolution that spending the time and effort to develop standards for internetworking between suppliers, distributors, and customers provided the measurable benefits needed to ensure success. My experience addressing this challenge in the pharmaceutical/global distributor sectors confirmed this point. We need IOT standards for key sectors to provide the framework for growth.

2. Business strategy and process optimization must drive IOT, not technology

IOT is a technology – developing optimum, sustainable IOT solutions demand an experienced, multi-dimensional staff with strategy, financial, analytics, process analysis, and technology skills. The CIO will play a key role but … READ MORE AT Forbes Article- Dont Rube Goldberg Your IoT July 6

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Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.








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NEW FACEBOOK PAGE

December 19 in Business, Business Intelligence, Business Models, Entrepreneurship, Health care, Healthcare, intrapreneurship, Predictive Analytics, Product Development, startup, Strategy, Strategy, Uncategorized by Paul Silverman | Comments Off on NEW FACEBOOK PAGE

New Facebook Page – will focus on #entrepreneurship, #predictive analytics, #new ventures, #healthcare

More to follow. Check out http://tinyurl.com/m8t5z4g

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.








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Music Streaming and Analytics-How Spotify is Impacting the Music Business

December 19 in Business, Entrepreneurship, Predictive Analytics, Product Development, startup, Strategy by Paul Silverman | Comments Off on Music Streaming and Analytics-How Spotify is Impacting the Music Business

Excellent New Yorker article about Spotify and how music sector business models are changing- very clear here that the online music market business models are morphing quickly- check out http://tinyurl.com/lw88lkc

The article reinforces my view that analytics, not content, packaging, or other features will be the primary success driver in most of today’s markets, including the music sector. I am looking at analytics-centric healthcare, financial, and business management ventures and clear to me these ventures will reshape current sectors and create new large scale opportunities just as Spotify is doing in online music

To fully understand the possibilities here, consider the following 3 points noted in the article:

  • Note migration from early stage “collaborative filtering” analytics-using what you did before to define what you want in the future – first generation analytics here which provided a competitive edge.
  • Spotify bought Echo Nest-an analytics company and created “Truffle Pig” – result is an artificial music intelligence platform that helps Spotify dissect in detail the music elements (they now look at 50 parameters for all music products) and further tighten ability to meet users’ needs
  • Most significant, Spotify’s analytics are what I call second generation, seeking to use other external personal/ environmental data to improve their ability to meet users’ needs/improve user satisfaction (and of course not switch to iTunes or Pandora). To get a glimpse into what is meant here, check out the following from the article:

“Now that the Echo Nest is part of Spotify, its team has access to the enormous amount of data generated by Spotify users which show how they consume music. Spotify knows what time of day users listen to certain songs, and in many cases their location, so programmers can infer what they are probably doing—studying, exercising, driving to work. Brian Whitman, an Echo Nest co-founder, told me that programmers also hope to learn more about listeners by factoring in data such as “what the weather is like, what your relationship status is now on Facebook.”

When I look at how analytics is shaping all market sectors, we see explosive growth of what I call second generation analytics- this will spawn many exciting new ventures, and some of these will be in new market sectors that don’t even exist today. Exciting times lie ahead here

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.








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Comments on Business Models at “For Entrepreneurs”

December 3 in Business, Business Intelligence, Business Models, Entrepreneurship, intrapreneurship, Predictive Analytics, Product Development, startup, Strategy, Strategy by Paul Silverman | Comments Off on Comments on Business Models at “For Entrepreneurs”

Excellent summary by David Skok on new business models we now see in the entrepreneurial arena. If you are interested in understanding the variety of business models we now see in the market this is a good place to start. I contributed comments on Data Intensity Models or “DIM” which I am looking at for new ventures- very exciting area using analytics. Check out David Skok’s site and my comments at  http://www.forentrepreneurs.com/business-models/    Copy of my comments below:

David
Excellent summary on business models – good work. Glad to
contribute here. I am focusing on a related models in the new venture arena looking at how companies create value based on their customer and ‘community of interest’ data. The Data Intensity Model (“DIM”) goes beyond lead generation models to increase revenue and looks at the value created by understanding customer needs using analytics. Mint.com is the widely quoted example here but other directions are emerging. Sounds far out but the DIM model may shape how you manage your wardrobe- check out https://paulbsilverman.com/2012… Obvious opportunities in finance arena similar to Mint.com but major opportunity I foresee is in healthcare arena. Check out my post/exchange about new business models on Accenture blog https://paulbsilverman.com/2013…. The excellent contribution you are making to educate entrepreneurs is I am sure appreciated by all.

Paul B. Silverman

Paul B. Silverman writes about entrepreneurship, healthcare, analytics, and strategy management and serves as Advisor, Speaker, Educator, and Managing Partner of the Gemini Business Group, LLC, a new venture development firm, and author of “8 Building Blocks To Launch, Manage, And Grow A Successful Business.” He also serves as Adjunct Professor in the School of Business at George Mason University. See more at Paul B. Silverman Blog and sign up for Entrepreneurship Today! email updates to track latest new venture developments.








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Pushback to My WSJ Comments “Electronic Medical Records: A Huge, Expensive Burden…”

December 2 in Business, Business Intelligence, Business Models, Health care, Healthcare, Predictive Analytics, Strategy, telemedicine by Paul Silverman | Comments Off on Pushback to My WSJ Comments “Electronic Medical Records: A Huge, Expensive Burden…”

Pushback to My WSJ Comments “Electronic Medical Records: A Huge, Expensive Burden…”

In response to WSJ article citing EMR problems, last week I posted comments taking position that a full featured EMR system is a “powerful building block improving our healthcare system. The U.S. lags Australia, Netherlands, New Zealand, Norway and the U.K-all have EMR adoption rates above 90 percent… ”

As expected, I have received some pushback to my support for today’s EMR and the outlook/vision I see here. Check out the pushback comments and my reply at WSJ   http://tinyurl.com/ksnav8e.








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