Predictive Analytics

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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Comments on WSJ Post- “EMRs: A Huge, Expensive Burden”

November 26 in Business, Business Intelligence, Business Models, Entrepreneurship, Health care, Healthcare, Healthcare, International business, Predictive Analytics, telemedicine by Paul Silverman | Comments Off on Comments on WSJ Post- “EMRs: A Huge, Expensive Burden”

Electronic Medical Records (EMRs) provide the foundation to improve healthcare quality and improve cost performance. And standardized EMRs open the door to telehealth and new analytics to improve clinical decision support systems and save lives. But the transition from paper records, as we learned in the e-commerce revolution, will take time and create disruption. I posted comments on a WSJ post to share my view on the benefits we can expect to see. WSJ post and my edited comments at http://tinyurl.com/ksnav8e

Copy of my complete comments as follows:

We need a standardized, full- featured EMR system- this is powerful building block to improve today’s healthcare system. The U.S. lags Australia, the Netherlands, New Zealand, Norway and the U.K., all of which have EMR adoption rates above 90 percent. No surprise these countries have healthcare systems that lead the U.S. based on all patient outcomes/cost performance metrics. Coupled with the ACA’s new core quality measure reporting (‘eCQM’s), we are taking the right steps. But EMR also enables predictive analytics which I see as the Holy Grail here. What lies ahead- new clinical decision support systems improving outcomes; new tools to minimize adverse drug events; improving patient selection for new drug trials; improving surgical outcomes examining chronic issues; and many more. The Social Progress Index report, created by Harvard Business School’s Professor Michael E. Porter’s team, ranked 132 countries using 50 indicators. In the Health and Wellness category the United States ranks poorly at 70th, behind Mali (69th), and Nepal (68th), but, small consolation, ahead of Kuwait (71st). Keep that in mind the next time you hear a pundit say “…our healthcare system works just fine and we don’t need to change it.” These studies are based on metrics/data analysis, not hype or talking points. There will be some disruption, but a standardized EMR system will benefit both the entire healthcare community and the public.

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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Failure Is Often A Key Driver for Success: Check out “Failing Forward — 3 Tips for Failing Your Way to Success”

November 19 in Business, Business Models, Entrepreneurship, International business, intrapreneurship, Predictive Analytics, Product Development, startup, Strategy, Strategy, Uncategorized, Venture capital by Paul Silverman | Comments Off on Failure Is Often A Key Driver for Success: Check out “Failing Forward — 3 Tips for Failing Your Way to Success”

Most entrepreneurs are familiar with the story of Thomas Edison’s invention of the light bulb. To outsiders, looks like a waste of time and effort- we see about 10,000 failures and one success. Thomas Edison saw it differently in his widely quoted views on success and failure: “I have not failed 10,000 times. I have not failed once. I have succeeded in proving that those 10,000 ways will not work. When I have eliminated the ways that will not work, I will find the way that will work.”

I agree with Thomas Edison and always define failures as “Learning Experiences” — this works for me.

I recommend checking out “Failing Forward — 3 Tips for Failing Your Way to Success” – an excellent perspective on success and failure from Marshall Graham, Managing Partner at Indian River Advisor, LLC. Excellent insights here for all entrepreneurs.

 

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 – NPR: Surprise Medical Bills: ER Is In Network, But Doctor Isn’t

November 12 in Business, Business Intelligence, Business Models, Entrepreneurship, Health care, Healthcare, Predictive Analytics, Strategy, Strategy, telemedicine by Paul Silverman | Comments Off on Comments – NPR: Surprise Medical Bills: ER Is In Network, But Doctor Isn’t

Posted comments today on NPR story about ER billing problems using ER services in Texas. Ironic, as noted in my comments,  Texas is one of the states that has pushed back most strongly on ACA efforts to improve our healthcare system. So if you do have an emergency while traveling in Texas, on the way to the ER in the ambulance, I suggest make sure you check that you are covered for both hospital and doctor costs. Looks like “every doctor  for himself” there- what a way to run a healthcare system. We can fix this and I believe with modifications ACA is the vehicle to accomplish this objective.

You can read my comments and the NPR article at http://tinyurl.com/pfd5zwe

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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WSJ – Comments on Alibaba “Singles Day” Results

November 11 in Business, Business Intelligence, Business Models, Entrepreneurship, Health care, Predictive Analytics, Product Development, startup, Strategy, Strategy by Paul Silverman | Comments Off on WSJ – Comments on Alibaba “Singles Day” Results

On November 10th, the WSJ reviewed Alibaba results and the Gross Merchandising Volume or “GMV” metric used to measure performance of e-marketplace companies such as AliBaba and others. I find GMV and related platform business model metrics not well understood. These will be increasingly important as growth of “customer to customer” platform networks accelerate in healthcare and other sectors. Below is a full copy of my comments. Link to the WSJ article and edited comments at http://tinyurl.com/n369mha

Eeading about Alibaba’s business model, I recall the “eyeball model” driving the e-commerce explosion in the 1990’s. The premise- attract large numbers of users/customers to your site, generate value by product and service sales and, most important, generate scale to drive advertising revenue and “exponential” future earnings. Some did it well such as eBay, but the model spawned hundreds of new ventures and most failed. Why? Management, undercapitalized, poor execution strategy- these are the usual reasons most ventures fail. But there was also a fatal flaw here- the eyeball model at the time could not create a universally successful business in all sectors without careful positioning and deep pockets, not the outcome many investors expected. “Build it and they will come”- they didn’t.

Fast forward to today. Alibaba reported very impressive results on “Singles Day”, I.e., 111114, reporting 35 billion yuan ( about $5.75 billion) in the 24 hour Singles Day period. GMV or Gross Merchandise Value is their key business model metric- high GMV translates to higher revenue and presumably long term earnings growth. Following a $25 billion IPO two months ago, there is great pressure to show high GMV.

Several comments here. No question Alibaba is an outstanding success by any measure. One question is long term sustainability. Having merchants offer steep discounts ( 50 % in some cases) to create high single day sales volume looks like a “loss leader” strategy- at least one analyst also questioned whether this is sustainable long term. Remember Groupon and LivingSocial issues. Secondly, note GMV shows total value of transactions sold through Alibaba’s marketplace platform and is not a well defined standard. GMV may include shipping charges, items that will be returned, and other components for the “customer to customer” sales via Alibaba’s platform. GMV is excellent for comparing marketplace companies, but each player may use different assumptions to calculate. Finally, recognize GMV is one of several platform model metrics such as Gross Transaction Volumes or GTV which is well suited for platforms using commission-based pricing strategies. Bottom line here- Alibaba’s success will spur other “GMV” centric new ventures as did the “eyeball” model- lets understand the definitions here and standardize, ensure the proper financial accounting and reporting practices are in place, and ensure the e-marketplace sector achieves the global market growth we all foresee.

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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Inc. – 8 Recommended Courses for Entrepreneurs 

September 18 in Business, Business Intelligence, Education, Entrepreneurship, Predictive Analytics, Uncategorized, Venture capital by Paul Silverman | Comments Off on Inc. – 8 Recommended Courses for Entrepreneurs 

Interesting Inc. Article on 8 recommended courses entrepreneurs should take. Check out  http://tinyurl.com/mct6llb

I posted following comments:

Good post and pleased to contribute here.  I like to say the “traditional laws of business are not repealed for new ventures”- not all agree with this assertion but my experience with many ventures shows these skills improve probability of success. Your selection of recommended courses is a good starting point and reinforces this point which I believe is missed by many. I suggest two additional recommended course areas

— Mathematics/Statistics – new business models and ventures are using analytics to develop innovative lines of business. Conceiving, managing, marketing, financing and growing these new analytics-centric businesses in fiercely competitive markets demands new analytic skills I find lacking. These skills can provide a competitive edge

–International – all business is global and more than 50 percent of Fortune 500 revenue is derived from overseas business. Entrepreneurs should understand how to operate in the international arena, i.e., how non-GAAP differs from GAAP reporting; how to develop equity and non-equity intl alliances; how exchange rates impact financial flows and strategies- all important management skills that provide entrepreneurs with a competitive edge.

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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Posted “Emerging Business Models Driven By Predictive Analytics” in Business Model Innovation Forum

September 4 in Business, Business Intelligence, Entrepreneurship, Health care, Healthcare, intrapreneurship, Predictive Analytics, startup, Strategy, Uncategorized, Venture capital by Paul Silverman | Comments Off on Posted “Emerging Business Models Driven By Predictive Analytics” in Business Model Innovation Forum

Agreed to serve as a member of the Business Model Innovation Forum. Good discussion here on all aspects of business models and where we are heading. I posted following comments today as an initial contribution – more information in the Forum at www.businessmodelhub.com. I am pleased to share a copy of my posted comments:

Emerging Business Models Driven By Predictive Analytics

I am pleased to contribute to the Forum and look forward to discussions with other members.

Two areas related to business models in my view should be discussed. First, predictive analytics which is reshaping traditional business models and changing the competitive landscape. These new tools analyze millions of “information records”, develop “rules” to explain the outcomes with major improvement in speed and accuracy. Note information records may include traditional databases, as well as unstructured “text analytics” from news feeds, messaging, maybe doctors notes related to an electronic health record (EHR). Seamless analysis of both traditional structured and unstructured data is a powerful new direction and where we are heading.What we are seeing are new services emerging, creating new markets, many driven by entrepreneurial firms. New clinical diagnostic services to improve healthcare outcomes and reduce costs- results show dramatic improvement. Technology Assisted Review or TAR, using advanced analytics in the legal arena to assist in identifying relevant and priviliged documents reviewing millions of documents for class action and other major legal cases. Continuous Audit, Continuous Monitoring or “CA/CM” using real time analytics in Fortune 1000 companies to identify problem, possibly fraudulent transactions pre-audit saving time and money and reducing exposure.

I have been involved in these and can cite many others. Key point- we are creating new business models here- some based on outcomes, others based on client savings maybe linked to longitudinal or total costs. So today what looks like a traditional software product, services, or solutions business may be competing with “transaction based” players, oftentimes entrepreneurial firms using creative business models and pricing structures.

Secondly, while we often focus on the internal, company- centric elements of the business model which are essential, lets keep in mind that external factors play a major role in shaping a firm’s business model and strategy. In 2013, I made this point in comments on an excellent business planning post by Accenture. You can see my comments and the Accenture link at http://tinyurl.com/ozugkl9

Bottom line here- we can expect to see many new, creative business models emerging which “push the envelope” demanding that management acquire new business planning and analysis skills. “Business as usual” will not be a successful strategy. Many of these new emerging business models in my view will be driven by agile entrepreneurial firms creating both new investment and value creation opportunities as well as challenges for traditional players,

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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Data Marketing 101: New Directions. Infographics +Predictive Analytics

August 19 in Advertising, Business, Business Intelligence, Entrepreneurship, Health care, intrapreneurship, Predictive Analytics, Product Development, startup, Strategy, Uncategorized, Venture capital by Paul Silverman | Comments Off on Data Marketing 101: New Directions. Infographics +Predictive Analytics

Excellent article by Shannon Byrne on how startups can use Infographics – good insights here. Check out http://thenextweb.com/dd/2014/08/18/data-marketing-101-startups-can-put-data-work/

Coupling Infographics with predictive analytics pushes the boundary here and I shared some thoughts – here is copy of my posted comments

Shannon. Excellent post. Thanks for sharing. Infographics is an exciting area and I see predictive analytics pushing the boundary further and opening new possibilities. For example as you say need to ‘mine data that’s helpful to your audience’ and you suggest several questions to address.
But suppose we mine data and use PA tools to identify drivers that are not known – predicting the ‘unknown-unknowns’ and showing these in Infographics provides exciting and powerful capabilities. For example, suppose you are showing attributes of your customers and show typical data, e.g., sales by region, sector, customer size and so on. But suppose you can also identify and show that the highest sales are driven by sales staff with certain backgrounds who sell to certain sectors. Or you identify and show how sales rank based on variations in the sales process; I.e., response to RFP, sales call center query, direct sales call, and so on.
Key point here- the relationships I suggested here and the questions to ask will be defined by the PA model not the Infographic data modeler- that is the real power of predictive analytics ‘technology and a concept still not fully understood by many.

In the healthcare sector for example, we use PA tools to optimize clinical treatments based on data going well beyond a patient’s condition and symptoms. Mining data using PA defines ‘ inferences’ and the rules between business metrics. Fast forward here and we can envision many exciting Infographic applications that will push the boundary enabling us to improve clarity and communications of complex and insightful business metrics

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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SaaS Metrics 2.0 – A Guide to Measuring and Improving what Matters- Post By David Skok

August 17 in Business, Business Intelligence, Entrepreneurship, Health care, International business, intrapreneurship, Predictive Analytics, startup, Strategy, Uncategorized, Venture capital by Paul Silverman | Comments Off on SaaS Metrics 2.0 – A Guide to Measuring and Improving what Matters- Post By David Skok

Excellent post by David Skok at http://www.forentrepreneurs.com/on using a using analytics to manage a SaaS business. I posted comments also emphasizing need to use analytics to assess changing markets/external factors for #entrepreneurial ventures. Also strongly recommend the site – http://www.forentrepreneurs.com/- excellent resource for entrepreneurs

Below is a copy of my posted comments – you can review the original post at http://www.forentrepreneurs.com/saas-metrics-2/

Here is a copy of my posted comments..

David

Excellent article- thanks.

Several months ago I was invited to do a guest blog post and serve as an Advisor for Funding Profiles, a Santa Clara-based company offering a powerful suite of financial analytic tools that “integrates with existing business applications to continuously translate traditional financial metrics into the language of business strategy”. For companies with thousands of products, infrastructure, and processes spanning the globe, the ability to ‘drill down’, examine ‘what-ifs’, and assess how and if global LOBs meet KPIs and support the strategic plan, is a powerful planning tool. Your post reinforces this point.

But markets and technology are moving quickly, consumer power is increasing, and external global factors will impact all global businesses which creates risk and uncertainty. In fact, one study shows macro-environment, competitive and corporate positioning factors account for about 80 percent of ROA variation among LOBs. So optimizing the company’s internal resources, processes, and KPI’s really address only 20 percent of the planning challenge based on these findings. My post “How Analytics is “Raising the Bar” for Corporate Strategy: Understanding the External Environment” talks about how new analytic tools can provide a competitive edge, creating what Tom Davenport (Author- Competing on Analytics: The New Science of Winning) defines as “analytic competitors”.

Bottom line- while emphasis of the above is larger corporations, my view is entrepreneurs that also understand how to analyze markets, external opportunities and threats, and how to use analytics with Porter’s Five Forces Model, STEEP, and competitive benchmarking tools can achieve a competitive edge. Properly used, external market analytics provide a competitive edge for evaluating, strategy positioning, and managing entrepreneurial ventures. During the past six months, I have looked at ventures in areas of wearable healthcare monitoring devices, clinical analytics, analytics for fraud detection, legal analytics, and solar energy among others. To accurately gauge outlook and opportunity for these and others, venture evaluation must go well beyond the typical “size of market, expected market share” and ‘drill-down’ to understand external market threats and opportunities. We have a way to go yet in educating the entrepreneurial community but I believe today’s “hyper competitive” dynamic global markets will help accelerate the adoption of these new analytics capabilities.

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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