Sections

Big Data: 2013 Trends And Predictions

Lindsey Nelson

273186_l_srgb_s_glAt the end of December three Big Data minds came together for a Google+ Hangout held by BackBone Media to discuss the Top Big Data Trends for 2013.

Ellis Booker, community editor for the Big Data section at Information Week was the host and MC. Guests were Gregory Piatetsky, Editor at KDNuggets.com; Nancy Kopp-Hensley, Director of Big Data Strategy at IBM, and SAP’s David Jonker, Director.

As the panelists agreed, big data has always been around, but nowadays it’s trendy. Companies are investing a lot of money in the technology trying to figure out how to get the most value out of what they have and what is out there. Here are some of the top questions and answers, as well as their predictions for 2013 and beyond.

Big Data vs. Big Data Analytics

One topic Ellis brought up is clarification around the difference between “big data” and “big data analytics”, because they’re more often than not interchangeably used. Nancy from IBM offered a clear definition:

Big data is the ability to take advantage of the data, no matter the form structured or unstructured. Big data analytics is the tools and capabilities developed to retrieve insight from said data.

How are companies using big data analytics?

“The technology now allows us to ingest data into our analytic ecosystems that we could never do before,” said Nancy. She also shared two ways companies are using it:

  • To enhance their already existing analytics and data sets. Nancy gave the example of sentiment analysis. It provides valuable and brutally honest insight into what people are actually saying about your company and product.
  • They’re taking a look at what they can do with data they have never had before. Knowledge on customer purchasing behavior helps organizations know when they should promote and when they should focus on selling.

What are the hot areas?

Gregory from KDNuggets shared his top hot areas where big data will be the biggest:

  • Mobile data, from phones, tablets and cars
  • M2M and sensor data
  • Social Networks
  • Industries: energy and utilities, healthcare, and HR

So what are their predictions for this year?

David Jonker: A number of vendors, if they haven’t already, will start to focus on in-memory technology. “In-memory is a core element to big data moving forward, not the only element, but a big one.”

Gregory Piatetsky: We should see more successes from learning applied to big data and a decline of the big data buzzword to be replaced by “smart data”.

Nancy Kopp-Hensley: We will spend a majority of our time in 2013 talking and planning on how to make the systems more consumable and simpler. We will look at the capabilities of data warehousing, like system management, do not currently exist so vendors will focus on how to create them for big data.

Click here to watch the full webcast.

Comments

About Lindsey Nelson

Lindsey Nelson currently supports Content and Enablement at SAP. Prior to her current role, she was responsible for Thought Leadership Content Strategy and Pull Marketing Strategy at SAP.

How Better Clinical Trial Recruitment Can Improve Healthcare

Dr. Harald Sourij

Patients want to be certain that they receive the best treatment available, and clinicians want to ensure they’re delivering optimal care. Unfortunately, in many cases, providers can’t be confident they are delivering care that will result in the best outcome because their treatment may not be current or informed by proven medical findings. Time is of the essence when it comes to care—and clinicians often lack sufficient time to research treatment best practices while treating patients.

Clinical research is an important component of patient care. Treatment should be based on the outcomes from clinical trials. However, evidence that is based on clinical trials is not always available to help providers recommend one medication or course of treatment over another.

The number of clinical trials is increasing significantly, but trials cannot be successful without enough participants to gather evidence. Recruiting participants can be challenging, and it can be difficult to match the right participants with studies. Approximately one out of three clinical trials fails to meet recruitment targets, so the sample size becomes too small to draw scientifically justified conclusions. The remaining two-thirds of trials recruit participants slowly. The effort becomes costly and time-consuming.

Recruitment failure in clinical trials is a major concern in the healthcare industry. It may seem unethical to ask trial participants for time and engagement and potentially expose them to some risk. However, if researchers are not successful in recruiting participants, they may never find answers to some of the most pressing medical research questions.

Big data eases recruitment pain points

New digital tools are starting to help researchers do a better job attracting, matching, and including appropriate clinical trial participants. Technology is also helping to facilitate and improve the patient recruitment process. One key is leveraging the Big Data that already exists in healthcare organizations.

Unfortunately, patient data is often unstructured and lives in disparate systems, so it’s difficult for researchers to identify potential participants. For instance, study nurses have traditionally helped identify subjects who fulfill research study criteria, but they have been held back by the need to sift through files of paper-based patient records. Technology enables researchers extract information from electronic medical records to quickly identify potential study participants.

Using data strategically can not only improve recruitment rates, but it also ensure that participants are a good fit with a particular study. Clinic physicians don’t always ask patients if they are interested in participating in clinical research because they lack the time or don’t have sufficient knowledge of specific trials. Now the records of prospective participants can be flagged, enabling clinicians to discuss the study with them during routine medical care.

patient recruiment analytics

Of course, the ultimate goal of clinical research is improving patient care and outcomes, and improving the clinical trial recruitment process helps do just that and more. Process optimization through automation of time-consuming patient screening improves collaboration, saves time, and facilitates the research process for all end users.

Automated patient recruitment benefits hospitals and healthcare systems and improves patient outcomes by increasing physicians’ awareness of clinical trials. It also benefits life science companies and contract research organizations (CROs) by optimizing trial design and protocol based on eligible patients and reducing research and development cycle time and costs.

Clinical trials set stage for better patient outcomes

Center for Biomarker Research in Medicine (CBmed) is working on an innovative software application to help researchers find and screen eligible patients for clinical trials. While the application is still under development, it aims to address common recruitment challenges.

CBmed and the University Hospital Graz are looking into a trial data model that can store all relevant information, create a trial manually or import details from clinicaltrials.gov to reduce manual intervention, automatically match patient data from electronic medical records, and enter criteria tolerance to improve eligible patient screening results. More information on the CBmed project, Innovative Use of Information for Clinical Care, and Biomarker Research (IICCAB) can be found here.

I began working in clinical research because I wanted to find answers to the questions patients ask every day about their own care. Technological innovation is enabling faster, better clinical trials by improving the participant recruitment process, and it will ultimately lead to evidence-based, life-changing, and life-saving treatments for patients.

For more on how technology can help improve patient outcomes, see Patient Engagement: Key To High-Value Care.

Comments

Dr. Harald Sourij

About Dr. Harald Sourij

Harald Sourij is the the Deputy Director of the Division of Endocrinology and Diabetology and the Head of the Diabetes Outpatient Clinic at the Medical University of Graz, Austria. He also leads the Area Metabolism and Inflammation at the Center for Biomarker Research in Medicine (CBmed) in Graz, Austria. His research activities focus mainly on diabetes and its cardiovascular complications. Harald has published over 100 peer-reviewed manuscripts and book chapters in highly ranked journals including The Lancet, European Heart Journal, and Diabetes Care. He is a member of the European Diabetes Association and of the Diabetes & Cardiovascular Disease Study Group of the EASD and is currently the Treasurer of the Austrian Diabetes Association. He has been awarded the Langerhans Award of the Austrian Diabetes Association in 2013 and the Joseph Skoda Award of the Austrian Society for Internal Medicine in 2015. He served as Associate Editor for the scientific journal Trials (2013-2105).

How To Benefit From Upgrading Your Digital Mindset

Derek Klobucher

More technologies are simultaneously reaching maturity than at any other time in recent memory. Getting the most out of cloud, mobile, Big Data, Internet of Things, machine learning, artificial intelligence, and other maturing technologies will require organizations to open themselves to new ways of thinking.

Technology providers will have to open their minds too, which is one reason for the creation of a new digital innovation system. The system focuses on its users’ business outcomes, especially those driven by maturing technologies such as IoT, according to Stacy Crook, IDC research director of IoT.

“The big strategy for IoT is … to tie people with things and processes,” Crook recently told TechTarget. “[There is] deep industry knowledge and a lot of information that will be useful in these IoT workflows.”

But users seeking to make the most of that information – and IoT workflows – must change their way of thinking. And while the Internet is full of listicles defining digital mindset, there is a new four-part definition that includes investing in next-generation technology.

Improving problem solving and employee engagement

“Leaders [in digital transformation] report a high level of investment in cloud computing and enterprise mobility, double-digit growth in Big Data and analytics and the Internet of Things (IoT), and hypergrowth in machine learning and artificial intelligence,” said a new SAP study conducted with Oxford Economics.

A digital transformation driven by a digital innovation system has already empowered Caterpillar Inc.’s workforce to fix problems in real time – and to improve business outcomes. The system yielded outstanding employee engagement for the Peoria-based manufacturing giant during a recent project, according to Marty Groover, Business Construction Products Operational Technology manager at Caterpillar.

“Without having to go pull all of the data out of the system, it automatically starts driving that cognitive use of the data to solve issues in the moment so we can produce better quality of processes and products,” Grover said of Digital Manufacturing Insights at SAP Leonardo Live July 11-12. “The hourly employees love it and want more of it.”

But just because users enjoy digital technology doesn’t mean that they started out in favor of it.

A digital transformation pilot freed up 85% of nurses’ time, InCor’s Guilherme Rabello (on screen) said at SAP Leonardo Live. The nurses spent less time writing down data points, so they could spend more time connecting with their patients.

Winning over reluctant workers

There can be many obstacles to digital transformation, from a lack of leadership to an absence of change-management expertise, as the SAP/Oxford study noted. But buy-in among conservative medical professionals was critical at the largest heart hospital in Latin America, according to Guilherme Rabello, Commercial and Market Intelligence manager at InCor (Instituto do Coração – UCFMUSP).

“We had to convince them that … the technology was not dragging them out of their main service, but assisting them to provide even better care to their patients,” Rabello said at SAP Leonardo Live. “So we engaged with all of them upfront, and we showed them why we were doing [what we were doing].”

InCor’s uptake of the digital innovation system was quick, especially for younger medical professionals who are comfortable in digital environments, according to Rabello. And the pilot freed up 85% of InCor nurses’ time; because they spent less time writing down data points, they could spend more time connecting with their patients.

Streamlining high-speed train operations

Just as a physician wants patients to stay healthy – without unnecessary treatment – Italy’s primary train operator wants the most efficient way to keep its trains running optimally, according to Danilo Gismondi, CIO of Trenitalia Spa. Big Data analytics uses data from each train’s myriad IoT sensors – 10,000 sensors sending more than 5,000 signals per second – to help Trenitalia minimize downtime and maintenance costs by fixing trains when demands – not schedules – dictate.

“We were looking for an end-to-end platform – not a single solution – but something able to manage the huge amount of data coming from the sensors onboard,” Gismondi said of the dynamic maintenance management system, at SAP Leonardo Live. “The platform must manage this data, transforming the information for the decision makers and the maintainers.”

“We were looking for an end-to-end platform — not a single solution — but something able to manage the huge amount of data coming from the sensors onboard,” Trenitalia’s Danilo Gismondi said at SAP Leonardo Live. Each train has about 10,000 sensors sending more than 5,000 signals per second.

Additionally, cutting-edge statistical methodology predicts malfunctions and breakdowns, which helps Trenitalia improve its maintenance processes – and its service to about 2 million passengers each day. It also helps spot faults or glitches, which might have otherwise taken a perfectly good train out of service for unnecessary maintenance.

Maturing technologies – and mindsets

“What sets the leaders apart is that they have internalized the need to transform how they think as well as what they do – to create a digital mindset across the organization,” the SAP/Oxford study said. “This is the difference between saying ‘we need a mobile app’ and ‘we need new ways to serve customers in the ways they want to be served.’”

Caterpillar, InCor, and Trenitalia chose to seek new ways to serve their customers, evolving their mindsets and maturing their business models concurrently with maturing technology, such as IoT and Big Data. Benefits include increased employee engagement, greater efficiency, minimal equipment downtime, and reduced maintenance costs.

Click here for the SAP/Oxford study.

This story originally appeared on SAP’s Business Trends. Follow Derek on Twitter: @DKlobucher

Comments

Derek Klobucher

About Derek Klobucher

Derek Klobucher is a Financial Services Writer and Editor for Sybase, an SAP Company. He has covered the exchanges in Chicago, European regulation in Dublin and banking legislation in Washington, D.C. He is a graduate of the University of Michigan in Ann Arbor and Northwestern University in Evanston.

Running Future Cities on Blockchain

Dan Wellers , Raimund Gross and Ulrich Scholl

Building on the Blockchain Framework

Some experts say these seemingly far-future speculations about the possibilities of combining technologies using blockchain are actually both inevitable and imminent:


Democratizing design and manufacturing by enabling individuals and small businesses to buy, sell, share, and digitally remix products affordably while protecting intellectual property rights.
Decentralizing warehousing and logistics by combining autonomous vehicles, 3D printers, and smart contracts to optimize delivery of products and materials, and even to create them on site as needed.
Distributing commerce by mixing virtual reality, 3D scanning and printing, self-driving vehicles, and artificial intelligence into immersive, personalized, on-demand shopping experiences that still protect buyers’ personal and proprietary data.

The City of the Future

Imagine that every agency, building, office, residence, and piece of infrastructure has an entry on a blockchain used as a city’s digital ledger. This “digital twin” could transform the delivery of city services.

For example:

  • Property owners could easily monetize assets by renting rooms, selling solar power back to the grid, and more.
  • Utilities could use customer data and AIs to make energy-saving recommendations, and smart contracts to automatically adjust power usage for greater efficiency.
  • Embedded sensors could sense problems (like a water main break) and alert an AI to send a technician with the right parts, tools, and training.
  • Autonomous vehicles could route themselves to open parking spaces or charging stations, and pay for services safely and automatically.
  • Cities could improve traffic monitoring and routing, saving commuters’ time and fuel while increasing productivity.

Every interaction would be transparent and verifiable, providing more data to analyze for future improvements.


Welcome to the Next Industrial Revolution

When exponential technologies intersect and combine, transformation happens on a massive scale. It’s time to start thinking through outcomes in a disciplined, proactive way to prepare for a future we’re only just beginning to imagine.

Download the executive brief Running Future Cities on Blockchain.


Read the full article Pulling Cities Into The Future With Blockchain

Comments

About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Raimund Gross

About Raimund Gross

Raimund Gross is a solution architect and futurist at SAP Innovation Center Network, where he evaluates emerging technologies and trends to address the challenges of businesses arising from digitization. He is currently evaluating the impact of blockchain for SAP and our enterprise customers.

Ulrich Scholl

About Ulrich Scholl

Ulrich Scholl is Vice President of Industry Cloud and Custom Development at SAP. In this role, Ulrich discovers and implements best practices to help further the understanding and adoption of the SAP portfolio of industry cloud innovations.

Tags:

4 Traits Set Digital Leaders Apart From 97% Of The Competition

Vivek Bapat

Like the classic parable of the blind man and the elephant, it seems everyone has a unique take on digital transformation. Some equate digital transformation with emerging technologies, placing their bets on as the Internet of Things, machine learning, and artificial intelligence. Others see it as a way to increase efficiencies and change business processes to accelerate product to market. Some others think of it is a means of strategic differentiation, innovating new business models for serving and engaging their customers. Despite the range of viewpoints, many businesses are still challenged with pragmatically evolving digital in ways that are meaningful, industry-disruptive, and market-leading.

According to a recent study of more than 3,000 senior executives across 17 countries and regions, only a paltry three percent of businesses worldwide have successfully completed enterprise-wide digital transformation initiatives, even though 84% of C-level executives ranks such efforts as “critically important” to the fundamental sustenance of their business.

The most comprehensive global study of its kind, the SAP Center for Business Insight report “SAP Digital Transformation Executive Study: 4 Ways Leaders Set Themselves Apart,” in collaboration with Oxford Economics, identified the challenges, opportunities, value, and key technologies driving digital transformation. The findings specifically analyzed the performance of “digital leaders” – those who are connecting people, things, and businesses more intelligently, more effectively, and creating punctuated change faster than their less advanced rivals.

After analyzing the data, it was eye-opening to see that only three percent of companies (top 100) are successfully realizing their full potential through digital transformation. However, even more remarkable was that these leaders have four fundamental traits in common, regardless of their region of operation, their size, their organizational structure, or their industry.

We distilled these traits in the hope that others in the early stages of transformation or that are still struggling to find their bearings can embrace these principles in order to succeed. Ultimately I see these leaders as true ambidextrous organizations, managing evolutionary and revolutionary change simultaneously, willing to embrace innovation – not just on the edges of their business, but firmly into their core.

Here are the four traits that set these leaders apart from the rest:

Trait #1: They see digital transformation as truly transformational

An overwhelming majority (96%) of digital leaders view digital transformation as a core business goal that requires a unified digital mindset across the entire enterprise. But instead of allowing individual functions to change at their own pace, digital leaders prefer to evolve the organization to help ensure the success of their digital strategies.

The study found that 56% of these businesses regularly shift their organizational structure, which includes processes, partners, suppliers, and customers, compared to 10% of remaining companies. Plus, 70% actively bring lines of business together through cross-functional processes and technologies.

By creating a firm foundation for transformation, digital leaders are further widening the gap between themselves and their less advanced competitors as they innovate business models that can mitigate emerging risks and seize new opportunities quickly.

Trait #2: They focus on transforming customer-facing functions first

Although most companies believe technology, the pace of change, and growing global competition are the key global trends that will affect everything for years to come, digital leaders are expanding their frame of mind to consider the influence of customer empowerment. Executives who build a momentum of breakthrough innovation and industry transformation are the ones that are moving beyond the high stakes of the market to the activation of complete, end-to-end customer experiences.

In fact, 92% of digital leaders have established sophisticated digital transformation strategies and processes to drive transformational change in customer satisfaction and engagement, compared to 22% of their less mature counterparts. As a result, 70% have realized significant or transformational value from these efforts.

Trait #3: They create a virtuous cycle of digital talent

There’s little doubt that the competition for qualified talent is fierce. But for nearly three-quarters of companies that demonstrate digital-transformation leadership, it is easier to attract and retain talent because they are five times more likely to leverage digitization to change their talent management efforts.

The impact of their efforts goes beyond empowering recruiters to identify best-fit candidates, highlight risk factors and hiring errors, and predict long-term talent needs. Nearly half (48%) of digital leaders understand that they must invest heavily in the development of digital skills and technology to drive revenue, retain productive employees, and create new roles to keep up with their digital maturity over the next two years, compared to 30% of all surveyed executives.

Trait #4: They invest in next-generation technology using a bimodal architecture

A couple years ago, Peter Sondergaard, senior vice president at Gartner and global head of research, observed that “CIOs can’t transform their old IT organization into a digital startup, but they can turn it into a bi-modal IT organization. Forty-five percent of CIOs state they currently have a fast mode of operation, and we predict that 75% of IT organizations will be bimodal in some way by 2017.”

Based on the results of the SAP Center for Business Insight study, Sondergaard’s prediction was spot on. As digital leaders dive into advanced technologies, 72% are using a digital twin of the conventional IT organization to operate efficiently without disruption while refining innovative scenarios to resolve business challenges and integrate them to stay ahead of the competition. Unfortunately, only 30% of less advanced businesses embrace this view.

Working within this bimodal architecture is emboldening digital leaders to take on incredibly progressive technology. For example, the study found that 50% of these firms are using artificial intelligence and machine learning, compared to seven percent of all respondents. They are also leading the adoption curve of Big Data solutions and analytics (94% vs. 60%) and the Internet of Things (76% vs. 52%).

Digital leadership is a practice of balance, not pure digitization

Most executives understand that digital transformation is a critical driver of revenue growth, profitability, and business expansion. However, as digital leaders are proving, digital strategies must deliver a balance of organizational flexibility, forward-looking technology adoption, and bold change. And clearly, this approach is paying dividends for them. They are growing market share, increasing customer satisfaction, improving employee engagement, and, perhaps more important, achieving more profitability than ever before.

For any company looking to catch up to digital leaders, the conversation around digital transformation needs to change immediately to combat three deadly sins: Stop investing in one-off, isolated projects hidden in a single organization. Stop viewing IT as an enabler instead of a strategic partner. Stop walling off the rest of the business from siloed digital successes.

As our study shows, companies that treat their digital transformation as an all-encompassing, all-sharing, and all-knowing business imperative will be the ones that disrupt the competitive landscape and stay ahead of a constantly evolving economy.

Follow me on twitter @vivek_bapat 

For more insight on digital leaders, check out the SAP Center for Business Insight report, conducted in collaboration with Oxford Economics,SAP Digital Transformation Executive Study: 4 Ways Leaders Set Themselves Apart.”

Comments

About Vivek Bapat

Vivek Bapat is the Senior Vice President, Global Head of Marketing Strategy and Thought Leadership, at SAP. He leads SAP's Global Marketing Strategy, Messaging, Positioning and related Thought Leadership initiatives.