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Posts tagged ‘Data analysis’

25
May

Big Data Analytics Use Cases


Are you data-flooded, data-driven, data informed? Are you outcome oriented, insight driven or hindsight driven?

Are you a firm where executives claim – “Data is our competitive advantage.” Or sprout analogies like, “data is the new oil”.

The challenge I found in most companies is not dearth of vision… everyone has a strategy and a 100,000 ft general view of the importance or value of data. Every executive can parrot the importance of data and being data-driven.

The challenge is the next step….so, how are you going to create new data products? How are you going to execute a data driven strategy? How are you going to monetize data assets? What are the right business use cases to focus on? How to map the use case to underlying models and data requirements? What platform is a good long-term bet?  The devil is in these details.

Everyone is searching for new ways to turn data into $$$ (monetize data assets). Everyone is looking for new levers to extract value from data.  But data ingesting and modeling is simply a means to an end. The end is not just more reports, dashboards, heatmaps, knowledge, or wisdom. The target is fact based decisions, guided machine learning and actions. Another target is arming users to do data discovery and insight generation without involving IT teams…so called User-Driven Business Intelligence.

In other words, what is the use case that shapes the context for “Raw Data -> Aggregated Data -> Intelligence -> Insights -> Decisions -> Operational Impact -> Financial Outcomes -> Value creation.”  What are the right use cases for the emerging hybrid data ecosystem (with structured and unstructured data)?

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15
Jul

Informatics or Analytics? Understanding Digital Health Use Cases


Healthcare Provider Value Chain

Data is driving fee-for-value healthcare. Every firm is racing to figure out how to bring the power of data science to streamline healthcare encounters ~ member/consumer engagement, provider/PCP engagement or clinical/care engagement.

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Health expenditures in the United States crossed $3.2 trillion in 2015 which is more than ten times the $256 billion spent in 1980.

Almost 15% of U.S GDP is spent on healthcare…a staggering number.  As a mega-vertical, healthcare covers several major segments (the 7 Ps)

  • Payers (Health Insurance and Health Plans),
  • Providers (Hospital Systems, Labs and IDNs),
  • Pharmacy (retail distribution networks), and
  • Pharmaceutical and medical equipment manufacturers,
  • Prescribers (Physicians, clinics and pharmacy minute clinics)
  • Police (Regulators, FDA)
  • Patients (consumers)

U.S. healthcare system is a complex beast and difficult to navigate – providers need to make it easier for patients. They are using people resources like care coordinators and patient navigators to help patients navigate the system.

The focus on the payer side is in digitizing health today is to reduce the amount of waste in the health care system via implementation of new forms of health IT and Analytics… that reduces inefficiencies, redundancies and administrative costs.

According the CEO of Aetna…”the health care system wastes more than $765 billion each year – that’s 30 percent of our health care spending.”

AgingPopulationWhile spending on health care is dominating headlines, the health care industry (7Ps) is in a state of flux. Stakeholders across the health care sector are running hard to reduce costs.   The drivers impacting cost of healthcare include:

  • Aging population – Patient history and patterns of care impacting patient readmission rates
  • Rise in Chronic Disease – 75% of cost – Prevention not reactive medicine
  • Drug cost – escalating for certain therapies (Generics exchanged for biological drugs)

The healthcare ecosystem is being reshaped by two powerful counter economic forces at work:  (1) Improve quality of care  and   (2) drive the cost of care down. Basically spend less and get more.

As a result,  the entire healthcare  ecosystem is changing into a “information-driven”, “evidence-based” and “outcome-driven” model.

The target healthcare transformation goals are:

  • align economic incentives between payers and providers,
  • digital engagement…create a simpler, more transparent consumer experience, and
  • connected health….technologies that seamlessly connect our healthcare system.

In this posting we look at Digital Health Care use cases and how data and analytics are being slowly but sure being adopted in the form of informatics. All this change is being driven under the guise of Health Reform.

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31
Oct

Email Marketing is a Predictive Analytics Problem


targeted segmentation for email using big dataDigital Marketing from 1999 to 2012

In his book Permission Marketing, Seth Godin referred to email marketing as “the most personal advertising medium in history”.  That was 1999.

Where does email marketing stand in 2012 in the age of social media, omni-channel marketing and big data analytics? Here are some interesting data points.

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