Business Intelligence

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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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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PR/Advertising Lessons for Entrepreneurs from P.T. Barnum

August 12 in Advertising, Business, Business Intelligence, Entrepreneurship, Predictive Analytics, startup, Strategy, Venture capital by Paul Silverman | Comments Off on PR/Advertising Lessons for Entrepreneurs from P.T. Barnum

Here is wisdom from circus showman P.T. Barnum I have often shared with early stage #entrepreneurs to reinforce the last point- end game here is to create short and long term sales-  the rest is ‘showmanship’ and important not to confuse this point. Also note the need to emphasize benefits to build on adv/promotion and actually close the sale (i.e.,”explain how much fun they’ll have spending money at the booths, answer their questions…”). Good counsel and insights here for early stage entrepreneurs.

“ If the circus is coming to town and you paint a sign saying “Circus Coming to the Fairground Saturday,” that’s advertising. If you put the sign on the back of an elephant and walk it into town, that’s promotion. If the elephant walks thru the mayor’s flower bed, that’s publicity. And if you can get the mayor to laugh about it, that’s public relations. If the town’s citizens go to the circus, you show them the many entertainment booths, explain how much fun they’ll have spending money at the booths, answer their questions and ultimately they spend a lot at the circus, that’s sales.”

                                                                                                                                                                                P.T.Barnum

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The 7 Biggest Founder Mistakes

August 5 in Business, Business Intelligence, Entrepreneurship, startup, Strategy, Venture capital by Paul Silverman | Comments Off on The 7 Biggest Founder Mistakes

Good counsel here for all entrepreneurs … Mistakes to avoid when starting new entrepreneurial ventures

http://www.inc.com/dana-severson/the-7-biggest-founder-mistakes-that-you-can-learn-from.html?cid=sf01001

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 Article- “Predictive Analytics Showing the Shape of Things to Come”- The Australian June 25, 2013

July 22 in Business, Business Intelligence, Entrepreneurship, Health care, Healthcare, Predictive Analytics, Uncategorized by Paul Silverman | Comments Off on Comments on Article- “Predictive Analytics Showing the Shape of Things to Come”- The Australian June 25, 2013

The Australian newspaper had an interesting article on June 25, 2013 (http://tinyurl.com/mtah9ju) describing a number of successful predictive analytics applications, but also making the point that market penetration has been slow noting “… despite the numerous uses of predictive analytics, uptake is limited. According to Gartner, only 13 per cent of organisations report extensive use, while fewer than 3 per cent use prescriptive capabilities such as decision/mathematical modelling, simulation and optimisation market”. I posted brief summary comments today in response to the article and am pleased to share a complete copy of my comments:

Excellent article and clearly summarizes the challenges we face in educating management on how PA solutions can help companies improve performance and mitigate risk. I am pleased to share the following 3 observations. My comments are based on my position as former CEO of InferX Corporation, a publicly traded predictive analytics company, and serving as adjunct professor teaching MBA strategy courses in the RH Smith School of Business at the University of Maryland.

No. 1   Analytics complements ‘traditional management’

Define your mission; assess external environment and competition using PEST, Porter’s 5 Forces model, other tools; assess internal resources and capabilities; develop detailed value chain analysis; analyze product life cycles; develop cost leader/differentiation global strategies based on product, market, competition and other factors. Analytics can make a major contribution throughout the ‘traditional’ management process. Yet market analysis shows about 85% of the total PA market today addresses the CRM sector. We need to view PA within the context of traditional management rather than a separate ‘big data/analytics’ sector. Integrating PA into traditional management processes is a challenge and the real opportunity with high upside

No. 2   Analytics costs more

True. When the e-commerce revolution emerged years ago, we had major push back from companies who preferred to continue to process orders manually, work with suppliers using ad hoc systems, and avoid ‘costly’ new systems implementation and industry standards. Systems costs did increase, but we created process and performance efficiencies that improved profitability and reduced risk. Today’s analytics solutions demand understanding ROI (and how to measure) and clearly communicating this message.

No. 3    “Analytics Drives Strategy and Strategy Drives Analytics”

Properly executed and integrated into a company’s management processes, I see great opportunity to use analytics to drive strategy, particularly in shaping new product and market innovations to increase ROI. Look at Capital One, an analytics driven competitor reportedly doing 300+ analytic scenarios daily to optimize financial offerings. Or Progressive, capturing motorcycle rider clients using analytics to define a segment with both claims and expense ratios providing strong returns. Amazon, Netflix and many others are using analytics to drive ‘micro-marketing segmentation’ which is where we are heading. And these new strategies create new analytics, enabling analytics- savvy companies such as Amazon to continue to excel.

Clearly all ‘analytics solutions’ providers, a term I prefer to emphasize PA’s broader role, have a challenge ahead- to educate clients, particularly at the ‘C’ level, on the opportunities embracing these solutions and the challenges they will face if they do not. Exciting times lie ahead in the global analytics solutions business for both solutions providers and all companies in all sectors.

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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