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Understanding The Body With Smart Data: In-Memory Technology In Personalized Medicine

Frank Wittmann

Huge amounts of data exist in today’s healthcare. Technically speaking, this data can be analyzed with real-time methods, such as in-memory technology, and be made available for medical treatment.

Computer researchers at Hasso Plattner Institute (HPI) are thus working to help patients receive more personalized treatment.

The human body is complex. Just one genome, for instance, contains more than 3 billion pieces of genetic information. Modern medicine seeks to penetrate this complexity in order to offer patients even better treatment. New diagnostic procedures like genome sequencing help exploit these huge data sources. However, the analysis involved often proves difficult. The problems lie in the diversity of the distributed data and its collection.

“Physicians have become data analysts, who must laboriously gather and standardize the data themselves,” says Dr. Matthieu-P. Schapranow, program manager of E-Health & Life Sciences at Hasso Plattner Institute (HPI). Consequently, the time-consuming analyzes are only carried out in certain cases. Yet already today interdisciplinary teams can create future-proof solutions, the Potsdam scientist said.

Together with project partners from clinical research, Schapranow’s team in the HPI Research Group led by Prof. Hasso Plattner are working on customized software applications that support experts in the analysis of huge amounts of data. The in-memory technology researched at HPI is thereby used, which for the first time allows combining and analyzing large amounts of data in real time.

“Physicians, clinical researchers and health experts can make precise therapy decisions based on the knowledge available worldwide, regardless of where they are located,” says Schapranow. In addition to individual patient data, information from worldwide medical databases is also at their disposal. Physicians can then concentrate on what is most crucial to them—the treatment of their patients. Not only does faster and more accurate decision-making then become possible, but also a minimization of side effects and a reduction of costs, said the computer scientist.

The cloud platform Analyze Genomes bundles the joint research of the Potsdam scientists with that of physicians, biologists, and geneticists. The platform already offers researchers and doctors applications for their work:

  • With the help of the Genome Browser, even without access to sequencing machines, researchers can explore DNS in detail and identify information about pathogenic changes themselves.
  • In the Medical Knowledge Cockpit, doctors and patients get a comprehensive picture of individual and genetic characteristics, biological relationships, and information about the therapies available worldwide.
  • Clinicians can use the Drug Response Analysis to incorporate, for the first time, findings from past cases to the chemotherapy prognosis for current cases

Schapranow and his team present two ongoing research projects from the health sector at CeBIT 2016 (Hasso Plattner Institute, Hall 6, D18):

  • The SMART project, sponsored by the Federal Ministry of Research program e: Med – Med Sys, is focused on facilitating a better understanding of the complex causes of chronic heart failure and how they interact. Using the methods of analysis, physicians will be able to make better predictions in the future about the possible course of the disease and therapeutic successes.
  • With their project Smart Analysis – Health Research Access (SAHRA), HPI scientists show how huge amounts of already available healthcare data can be combined and examined on the basis of in-memory technology and scientific analysis. Treatment, billing, study, and registry data, rendered anonymous to protect privacy, can be combined and made available for healthcare research.

The application of in-memory technology and information technology analysis methods in medicine are manifold. The range of possibilities extends from the planning of future medical care to the personalization of cancer treatment. But the goal of the various research fields always remains the same: to make it possible for patients to get the best holistic treatment now and in the future.

For more on the power of Big Data and analytics in healthcare, see Analytics And Personalized Medicine—Just The Tip Of The Iceberg.

Top image via Shutterstock

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Frank Wittmann

About Frank Wittmann

Frank Wittmann is the online marketing manager for the Hasso Plattner Institute. His specialties include online marketing, social media marketing, web content management, online publishing and online communications.

Data Analysts And Scientists More Important Than Ever For The Enterprise

Daniel Newman

The business world is now firmly in the age of data. Not that data wasn’t relevant before; it was just nowhere close to the speed and volume that’s available to us today. Businesses are buckling under the deluge of petabytes, exabytes, and zettabytes. Within these bytes lie valuable information on customer behavior, key business insights, and revenue generation. However, all that data is practically useless for businesses without the ability to identify the right data. Plus, if they don’t have the talent and resources to capture the right data, organize it, dissect it, draw actionable insights from it and, finally, deliver those insights in a meaningful way, their data initiatives will fail.

Rise of the CDO

Companies of all sizes can easily find themselves drowning in data generated from websites, landing pages, social streams, emails, text messages, and many other sources. Additionally, there is data in their own repositories. With so much data at their disposal, companies are under mounting pressure to utilize it to generate insights. These insights are critical because they can (and should) drive the overall business strategy and help companies make better business decisions. To leverage the power of data analytics, businesses need more “top-management muscle” specialized in the field of data science. This specialized field has lead to the creation of roles like Chief Data Officer (CDO).

In addition, with more companies undertaking digital transformations, there’s greater impetus for the C-suite to make data-driven decisions. The CDO helps make data-driven decisions and also develops a digital business strategy around those decisions. As data grows at an unstoppable rate, becoming an inseparable part of key business functions, we will see the CDO act as a bridge between other C-suite execs.

Data skills an emerging business necessity

So far, only large enterprises with bigger data mining and management needs maintain in-house solutions. These in-house teams and technologies handle the growing sets of diverse and dispersed data. Others work with third-party service providers to develop and execute their big data strategies.

As the amount of data grows, the need to mine it for insights becomes a key business requirement. For both large and small businesses, data-centric roles will experience endless upward mobility. These roles include data anlysts and scientists. There is going to be a huge opportunity for critical thinkers to turn their analytical skills into rapidly growing roles in the field of data science. In fact, data skills are now a prized qualification for titles like IT project managers and computer systems analysts.

Forbes cited the McKinsey Global Institute’s prediction that by 2018 there could be a massive shortage of data-skilled professionals. This indicates a disruption at the demand-supply level with the needs for data skills at an all-time high. With an increasing number of companies adopting big data strategies, salaries for data jobs are going through the roof. This is turning the position into a highly coveted one.

According to Harvard Professor Gary King, “There is a big data revolution. The big data revolution is that now we can do something with the data.” The big problem is that most enterprises don’t know what to do with data. Data professionals are helping businesses figure that out. So if you’re casting about for where to apply your skills and want to take advantage of one of the best career paths in the job market today, focus on data science.

I’m compensated by University of Phoenix for this blog. As always, all thoughts and opinions are my own.

For more insight on our increasingly connected future, see The $19 Trillion Question: Are You Undervaluing The Internet Of Things?

The post Data Analysts and Scientists More Important Than Ever For the Enterprise appeared first on Millennial CEO.

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Daniel Newman

About Daniel Newman

Daniel Newman serves as the Co-Founder and CEO of EC3, a quickly growing hosted IT and Communication service provider. Prior to this role Daniel has held several prominent leadership roles including serving as CEO of United Visual. Parent company to United Visual Systems, United Visual Productions, and United GlobalComm; a family of companies focused on Visual Communications and Audio Visual Technologies. Daniel is also widely published and active in the Social Media Community. He is the Author of Amazon Best Selling Business Book "The Millennial CEO." Daniel also Co-Founded the Global online Community 12 Most and was recognized by the Huffington Post as one of the 100 Business and Leadership Accounts to Follow on Twitter. Newman is an Adjunct Professor of Management at North Central College. He attained his undergraduate degree in Marketing at Northern Illinois University and an Executive MBA from North Central College in Naperville, IL. Newman currently resides in Aurora, Illinois with his wife (Lisa) and his two daughters (Hailey 9, Avery 5). A Chicago native all of his life, Newman is an avid golfer, a fitness fan, and a classically trained pianist

When Good Is Good Enough: Guiding Business Users On BI Practices

Ina Felsheim

Image_part2-300x200In Part One of this blog series, I talked about changing your IT culture to better support self-service BI and data discovery. Absolutely essential. However, your work is not done!

Self-service BI and data discovery will drive the number of users using the BI solutions to rapidly expand. Yet all of these more casual users will not be well versed in BI and visualization best practices.

When your user base rapidly expands to more casual users, you need to help educate them on what is important. For example, one IT manager told me that his casual BI users were making visualizations with very difficult-to-read charts and customizing color palettes to incredible degrees.

I had a similar experience when I was a technical writer. One of our lead writers was so concerned with readability of every sentence that he was going through the 300+ page manuals (yes, they were printed then) and manually adjusting all of the line breaks and page breaks. (!) Yes, readability was incrementally improved. But now any number of changes–technical capabilities, edits, inserting larger graphics—required re-adjusting all of those manual “optimizations.” The time it took just to do the additional optimization was incredible, much less the maintenance of these optimizations! Meanwhile, the technical writing team was falling behind on new deliverables.

The same scenario applies to your new casual BI users. This new group needs guidance to help them focus on the highest value practices:

  • Customization of color and appearance of visualizations: When is this customization necessary for a management deliverable, versus indulging an OCD tendency? I too have to stop myself from obsessing about the font, line spacing, and that a certain blue is just a bit different than another shade of blue. Yes, these options do matter. But help these casual users determine when that time is well spent.
  • Proper visualizations: When is a spinning 3D pie chart necessary to grab someone’s attention? BI professionals would firmly say “NEVER!” But these casual users do not have a lot of depth on BI best practices. Give them a few simple guidelines as to when “flash” needs to subsume understanding. Consider offering a monthly one-hour Lunch and Learn that shows them how to create impactful, polished visuals. Understanding if their visualizations are going to be viewed casually on the way to a meeting, or dissected at a laptop, also helps determine how much time to spend optimizing a visualization. No, you can’t just mandate that they all read Tufte.
  • Predictive: Provide advanced analytics capabilities like forecasting and regression directly in their casual BI tools. Using these capabilities will really help them wow their audience with substance instead of flash.
  • Feature requests: Make sure you understand the motivation and business value behind some of the casual users’ requests. These casual users are less likely to understand the implications of supporting specific requests across an enterprise, so make sure you are collaborating on use cases and priorities for substantive requests.

By working with your casual BI users on the above points, you will be able to collectively understand when the absolute exact request is critical (and supports good visualization practices), and when it is an “optimization” that may impact productivity. In many cases, “good” is good enough for the fast turnaround of data discovery.

Next week, I’ll wrap this series up with hints on getting your casual users to embrace the “we” not “me” mentality.

Read Part One of this series: Changing The IT Culture For Self-Service BI Success.

Follow me on Twitter: @InaSAP

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4 Ways to Digitally Disrupt Your Business Without Destroying It

Christopher Koch

To learn more about how to disrupt your business without destroying it, read the in-depth report Digital Disruption: When to Cook the Golden Goose.

Download the PDF (1MB)

 

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Christopher Koch

About Christopher Koch

Christopher Koch is the Editorial Director of the SAP Center for Business Insight. He is an experienced publishing professional, researcher, editor, and writer in business, technology, and B2B marketing.

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Digital Transformation Needs More Than Technology

Andreas Hauser

Digital transformation is a hyped-up topic these days. But it is much more than a buzzword. Technology trends like hyper-connectivity, Big Data, cloud, Internet of Things, and security provide new opportunities for companies to re-imagine their business and how they engage with their customers and users.

But what happens if you develop an amazing technical solution that people cannot use?

Let me tell you a story.

On a business trip recently, I had an experience that some of you might have also encountered from time to time. I wanted to enter the parking garage of a hotel and had to get a parking ticket to get in — sounds simple. The machine looked pretty modern. It had an integrated monitor and several buttons on the side. First I touched the screen, but nothing happened — it was not a touchscreen. Then I pressed some buttons on the side, and again, nothing happened. The rounded button at the bottom finally got me a ticket. Great technical solution … but not usable.

Endurance testing experiences like this one are actually easily preventable when taking into consideration human needs (desirability). This makes very clear that we need to connect three elements—viability, feasibility, and desirability—to be successful and remain competitive in the digital era.

Wikipedia defines digital transformation as “application of digital technology in all aspects of human society.” This is why companies with the most successful digital transformations have focused on people and applied a design-led approach.

One company that has excelled at creating a pleasant experience is Uber. Their app not only tells you how long it will take the car to arrive, but you can also watch the arrival on your mobile device. I like the user interface. But here’s what I personally like most about the Uber experience: You get out of the car, keep your mobile phone in your pocket, do nothing, pay automatically without thinking about how much you need to tip the driver, and get the receipt via e-mail.

That is the difference between simply focusing on the user interface and providing a great customer and user experience. To design and develop such a solution, you need to know what people really desire. Technology certainly plays a very important role to make this experience a reality, and you must be clear about the business model.

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Design-led digital transformation means leveraging breakthrough technology trends, re-imaging business processes and business models, and re-imaging the customer and user experience to achieve design-led innovations.

In today’s digital economy, companies understand that the experience their customers and users have must be the core focus of its brand and survival. Customers and users drive the current and future state of any business. Products and services, whether they are delivered to internal or external customers, must create a value for them and the company. Therefore, customers and users need to be an integral part—not an afterthought—of the entire product development process.

Design thinking to focus on human needs

To better understand what that experience can be, companies are using design thinking – a human-centered approach to innovation – and are putting the customer and user into the center of all activities. Design thinking focuses on human needs, problem finding, working in inter-disciplinary teams across the innovation lifecycle, and a fail-fast, fail-early approach.

My observation from about 500 customer projects is that more and more IT organizations are starting to apply design thinking within their organization. They are hiring designers to better understand the needs of their customers and users and are translating these needs into an experience design. In the past, they simply collected requirements from the business and implemented functions, features, and business processes. This was sufficient in last-decade enterprises, but consumerization of IT requires re-thinking of this approach.

Create business value with human-centered design

The goal is to create business value by engaging with customers and users throughout the end-to-end process—from discovery to design to delivery—and apply design thinking combined with agile methodologies. It is not about simply creating a cool design; rather it is all about creating business value and outcomes.

To do this, business and IT need to work hand in hand to take the company toward that single consumer’s experience.Slide2.JPG

Let’s look at an example.

As part of its business strategy, Mercedes-AMG, the sports car brand of Mercedes-Benz, aimed to increase its production drastically while keeping the excellent quality standards that have always characterized its products. In a co-innovation project, we have engaged on an intensive research plan and applied the principles of design thinking and agile software development to bring the Mercedes-AMG vision to life: a customizable collaborative planning solution that supports cross-functional competence teams and increases efficiency during the three-year production process. The solution, based on SAP HANA, provides access to relevant data in a holistic way and enables a seamless team collaboration in the remodeled process. One of the key success factors was engaging with users throughout the entire process by observing how they work and iterating on solutions with them.

Digital transformation is a journey, not just a one-time project. Ultimately, enterprises want to prepare their organization for sustainable design-led digital transformation.

So how can you embrace the human aspect of design in your digital transformation? This is our credo: Apply design thinking to engage with your customers and most importantly, with users, right from the beginning, in an iterative, user-centric design process.

If you are interested in more customer stories, check out the UX Design Services website. You can also find more information in this presentation, or check out this video recording.

This article originally appeared on SAP Business Trends.

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Andreas Hauser

About Andreas Hauser

Andreas is global head of the design and co-innovation center at SAP. His team drives customer & strategic design projects through Co-Innovation and Design Thinking. Before he was Vice President of User Experience at SAP SE for OnDemand Solutions.