The Future Of Healthcare

Skip Snow

As the healthcare industry depends increasingly on software to drive the change to value-based care from transaction-based compensation, the future of global healthcare is increasingly bound to the technology that will deliver:

  • Patient engagement to create behavior change for health optimization.
  • Integration solutions that will allow stakeholders to share information about populations and individuals across the ecosystem.
  • Cloud-based solutions that will allow services to reach scale without the need for the contemporary care system or health insurance vendor to grow infrastructure.
  • Branded medical services, such as oncology advice engines that allow a regional cancer specialist to deliver a better quality of care because she will have, for example, access to the most advanced protocols for her patients via smart software powered by companies such as IBM but with the built-in expertise of our great medical centers such as Memorial Sloan Kettering Cancer Center.
  • The Rise of consumer health repositories will work against info sharing in the eco-system - crossing the divide between protected data owned by covered entities, under various global privacy laws such as HIPAA, and consumer controled data subject to the corporate policy of various business entites such as Microsoft, Apple, Samsung, and others will remain dificualt and cumbersome.
  • A deeply connected fabric of data that combines social, administrative, and clinical data together in order to gain insight from the new tools of big data.
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Mobile Customer Experience is Asia Pacific’s Next Digital Frontier – 2015 Predictions

Dane Anderson

Forrester’s Asia Pacific (AP) top ten trends outlook launched today as part of Forrester’s series of 2015 global market predictions. We expect the opportunities and threats posed by digital disruption to shift into a higher gear in 2015 with a select group of regional organizations rising to the call, but most falling behind (often without knowing it). Success in a digitally disrupted world will require CIOs to develop a deeper understanding of their customer journeys and invest in mobile customer experience excellence. Here’s a preview of our predictions for the coming year:

  • Digital transformation will drive technology spending growth of 4.9%.Always-connected, technology-empowered customers are redefining sources of competitive advantage for AP organizations. In fact, 79% of business and technology decision-makers that Forrester surveyed indicated that improving the experience of technology-empowered customers will be a high or critical priority for their business in 2015. Similarly, 57% said that meeting consumers’ rising expectations was one of the reasons that they would spend more money on technology next year — the top reported reason for increased technology spending
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Exploring The Data Economy Opportunity: Some Do's and Don'ts

Jennifer Belissent, Ph.D.

An inquiry call from a digital strategy agency advising a client of theirs on data commercialization generated a lively discussion on strategies for taking data to market.  With few best practices out there, the emerging opportunity just might feel like space exploration – going boldly where no man has gone before.  The question is increasingly common. "We know we have data that would be of use to others but how do we know?  And, which use cases should we pursue?" In It's Time To Take Your Data To Market published earlier this fall, my colleagues and I provided some guideance on identifying and commercializing that "Picasso in the attic."  But the ideas around how to go-to-market continue to evolve. 

In answer to the inquiry questions asked the other day, my advice was pretty simple: Don’t try to anticipate all possible uses of the data.  Get started by making selected data sets available for people to play with, see what it can do, and talk about it to spread the word.  However, there are some specific use cases that can kick-start the process. 

Look to your existing customers.

The grass is not always greener, and your existing clients might just provide some fertile ground.  A couple thoughts on ways your existing customers could use new data sources:

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Leverage The Convergence Of BI And Big Data In 2015 - Or Miss Out

Martha Bennett

Big data – the Holy Grail of business intelligence (BI)? Big data technologies certainly hold the promise of closing the gap between the data that’s available in your organization, and the ability to make that data available to those who need it, when they need it. But it’s about more than just technology: you also need the skills and processes in place to ensure that those technologies are exploited to best effect. Most importantly, application development and delivery (AD&D) professionals must make sure that their BI and big data initiatives don’t move forward on parallel tracks, resulting in yet more data silos. The real value lies in combining existing BI and analytics capabilities with new big data technologies and techniques, and this is why AD&D pros involved with BI and analytics should focus on how these new capabilities can augment and extend the existing environment. Two key areas of focus for 2015 should be:

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Forrester’s Hadoop Predictions 2015

Mike Gualtieri
Hadoop adoption and innovation is moving forward at a fast pace, playing a critical role in today's data economy. But, how fast and far will Hadoop go heading into 2015? 
 
Prediction 1: Hadooponomics makes enterprise adoption mandatory. The jury is in. Hadoop has been found not guilty of being an over-hyped open source platform. Hadoop has proven real enterprise value in any number of use cases including data lakes, traditional and advanced analytics, ETL-less ETL, active-archive, and even some transactional applications. All these use cases are powered by what Forrester calls “Hadooponomics” — its ability to linearly scale both data storage and data processing.
 
What it means: The remaining minority of dazed and confused CIOs will make Hadoop a priority for 2015.
 
Predictions 2 and 3: Forrester clients can read the full text of all 8 Hadoop Predictions.
 
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Predictions For The Data Economy In 2015

Gene Leganza
The data economy — or the system that provides for the exchange of digitized information for the purpose of creating insights and value — grew in 2014, but in 2015 we’ll see it leap forward significantly. It will grow from a phenomenon that mainstream enterprises view at arm’s length as interesting to one that they embrace as a part of business as usual. The number of business and technology leaders telling us that external data is important to their business strategy has been growing rapidly -- from one-third in 2012 to almost half in 2014.
 
Why? It’s a supply-driven phenomenon made possible by widespread digitization, mobile technology, the Internet of Things (IoT), and Hadooponomics. With countless new data sources and powerful new tools to wrest insights from their depths, organizations will scramble to use them to know their customers better and to optimize their operations beyond anything they could have done before. And while the exploding data supply will spur demand, it will also spur additional supply. Firms will be taking a hard look at their “data exhaust” and wondering if there is a market for new products and services based on their unique set of data. But in many cases, the value in the data is not that people will be willing to pay money for bulk downloads or access to raw data, but in data products that complement a firm’s existing offerings.
 
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Mobile’s Untapped Value Is In Contextual Data

Thomas Husson

As the hub of our offline and online experiences, mobile interactions are a powerful catalyst for contextual marketing. The untapped opportunity in mobile for marketers will be to get an extremely granular understanding of their customers, then anticipate their expectations, and develop unique insights to power better marketing across all channels, not just mobile.

Few Marketers Make The Most Of The New Customer Data Gold Mine

Because smartphones are the hub of our offline and online experiences, they generate valuable insights for contextual data-driven marketing. However, the majority of marketers are not yet ready to exploit the convergence between mobile and big data.

Short Term: Engage Your Customers In Real Time In Their Mobile Moments

Harnessing and extracting actionable insights from this unprecedented wealth of customer data will enable marketers to serve customers in their mobile moments on a channel where they will increasingly spend the majority of their digital time.

Long Term: Power Better Marketing Initiatives Beyond The Mobile Channel

Mobile is more than simply another digital channel. Marketing leaders should combine mobile data with other sources of customer intelligence to get a deeper understanding of customers, anticipate their expectations, and act on these insights to improve all marketing initiatives.

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It's Still Early Days For Big Data In Thailand

Gene Cao

On October 14, I attended Big Data & Business Insights 2014 in Bangkok — the first public big data event in Thailand. I spoke about how to use big data to increase customer value in the age of the customer — a topic that seemed a bit distant from the audience’s daily reality. Most of them use traditional data warehouse and business intelligence tools and are new to big data solutions like Hadoop platforms, big data visualization, and predictive solutions. Here’s what I came away with:

  • Big data is still new to Thai businesses. Most big data projects in Thailand are still at the testing stages, and these trials are taking place in university labs rather than commercial environments. Dr. Putchong Uthayopas of the Department of Computer Engineering at Kasetsart University noted that big data projects in Thailand are now moving from pilot projects to actual usage.
  • Organizations need more details of real big data solutions. Thai businesses have held off investing in big data solutions because they felt uncertainty about the outcomes of big data projects. Attendees showed a lot of interest when I talked about big data usage in traditional industries, such as John Deere’s “Farm Forward” use case, which helped farmers make better decisions on what, when, and how to plant.
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Agile, flexible, modern BI deployments often require help from the professionals

Boris Evelson

Digitally empowered customers — both businesses and consumers — wield a huge influence on enterprise strategies, policies, and customer-facing and internal processes. With mobile devices, the Internet, and all-but-unlimited access to information about products, services, prices, and deals, customers are now well informed about companies and their products, and are able to quickly find alternatives and use peer pressure to drive change. But not all organizations have readily embraced this new paradigm shift, desperately clinging to rigid policies and inflexible business processes. A common thread running through the profile of most of the companies that are not succeeding in this new day and age is an inability to manage change successfully. Business agility — reacting to fast-changing business needs — is what enables businesses to thrive amid ever-accelerating market changes and dynamics.

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Chinese Businesses Embrace Social Intelligence

Gene Cao

Chinese people are hypersocial in their lifestyle and daily work, and Forrester forecasts that 681 million of them will be using social media by 2019. Online Chinese are actively engaging with brands and companies on social media: 29 brands or companies on Sina Weibo and 32 brands or companies on WeChat on average. Chinese businesses have realized the importance of social for customer life-cycle management. While they’ve started using social to increase brand awareness — such as broadcasting on Sina Weibo — they can’t recognize potential customers in this one-way communication. They use public WeChat accounts to shorten response times to client service requests — but they can’t predict these requests in advance. To address these challenges, businesses in China are starting to use enterprise-class analytics tools for Chinese social platforms.

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