You agree to receive updates, alerts, and promotions from the CBS family of companies - including ZDNet’s Tech Update Today and ZDNet Announcement newsletters. The primary objective is to ensure the data is of high quality and accessible for business intelligence along with big data analytics applications. Data quality should also be approached from a governance standpoint. If you are significantly behind the competition, you will have the kind of burning platform that is often required to create and sustain change. Leading companies begin the embedding process by spelling out their ambition. Big Data means a large chunk of raw data that is collected, stored and analyzed through various means which can be utilized by organizations to increase their efficiency and take better decisions.Big Data can be in both – structured and unstructured forms. We will embrace Big Data as a new way of doing business. To master increasingly complex IT, companies are turning to multiple suppliers. Humana and other health insurance carriers are also mining data to help improve patient outcomes and to reward healthy behaviors. Predictive analytics is one tool that has helped Miami University break down silos and get a better view of its student body. It’s the only way to ensure that information and insights are shared across business units and functions. "End users can now be reassured that their queries will return results promptly, no matter their complexity and the number of user concurrently accessing the system," Dave said. This adds a lot to the power of prediction. It is believed that the worldwide database will reach 175 zettabytes by 2025. And, schools like Miami University are collecting a lot of it. Please read and agree to the Privacy Policy. big data (infographic): Big data is a term for the voluminous and ever-increasing amount of structured, unstructured and semi-structured data being created -- data that would take too much time and cost too much money to load into relational databases for analysis. They provide tools that assist organizations to define goals around their big data program and to communicate their big data vision to the entire organization. You may unsubscribe from these newsletters at any time. In order to learn ‘What is Big Data?’ in-depth, we need to be able to categorize this data. Data collections. "Now, higher education measures just about everything across the entire student lifecycle, from the spectrum of students we recruit in high school, how we can better support them through the use of predictive analytics during their time on our campuses, and their graduation success and beyond," Kabbaz said. For example, if university faculty members fear the data may harm the students, Kabbaz needs to show its potential for improving the way students are taught, and their overall experience at the school. | September 1, 2017 -- 13:08 GMT (14:08 BST) Many higher education institutions feel great pressure to prove the value of a pricy four-year degree, and those that work at these schools face increasingly high expectations for performance, according to Michael Kabbaz, senior vice president for enrolment management and student success at Miami University. In the CLOC, temperature data is also constantly streaming in from more than 1,600 refrigerators and freezers across six hospitals, Barchi said. However, McIntyre said, they have begun to expand into fan data, and will use that to inform the rollout of their new fan-facing wi-fi network in 2018. A recent Bain & Company study, however, should put the question to rest. You will also receive a complimentary subscription to the ZDNet's Tech Update Today and ZDNet Announcement newsletters. Well, for that we have five Vs: 1. Set the right big data governance and quality policies. At the begging, the paper argues that increased information sharing platforms on the internet have exposed all the previously known private information. Building a solid CoE from scratch can take time. It has to assign collection and ownership of data across business functions, plan how to generate insights, and prioritize opportunities and allocation of data scientists’ time. "In an eight-hour CLOC shift, nurses monitor hundreds of clinical data points, note alarms and clinical issues, and communicate via an in-house communications network with the clinical team at the bedside," Barchi said. We say of course, because Big Data is hard to miss these days. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. The process includes management of both unstructured and structured data. Privacy Policy | All of that is a tall order. The city also recently partnered with a firm called Numina to collect data on how to make the city more walkable and bikeable, contributing to pedestrian safety, according to a June press release. SEE: How to build a successful data scientist career (free PDF) (TechRepublic). That brings us to the third, and usually the most challenging, set of table stakes: expertise. We work with ambitious leaders who want to define the future, not hide from it. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Did you know they collect 2.5 petabytes of data per hour? Big data is the data that is characterized by such informational features as the log-of-events nature and statistical correctness, and that imposes such technical requirements as distributed storage, parallel data processing and easy scalability of the solution. A company has to set its strategy for Big Data deployment. But many analytics leaders have found that a CoE has the most advantages and the fewest limitations (see Figure 2). Cookie Settings | Agile methodologies, which helped revolutionize IT, are spreading across a broad range of industries and functions. The leaders are: This helps to explain why so many companies are now asking where they stand on Big Data vis-à-vis their rivals— and whether they’re missing out on a new and essential competitive tool. The center needs experienced leadership and a clear plan for staying connected to the business. "This information provides the institution an ability to better support students and do it sooner, prior to the student leaving the institution.". With Big Data, such practices are being used more extensively. A declaration like this from the senior leadership team is an essential precondition for the kind of behavior change this article will discuss. They provide incentives for analytics-driven behavior, thereby ensuring that data is incorporated into processes for making key decisions. Leading companies typically define clear owners and sponsors for analytics initiatives. "Predictive analytics can identify students who are having trouble paying their bills, and track students who have grade drops in certain areas or who are missing courses they need to graduate on time," Kabbaz said. The term “big data” means many different things to different people. Using big data to streamline the sales cycle Perhaps the most crucial application of big data in modern organizations is the streamlining of the sales process . The company added incentives for senior executives to tap Big Data capabilities, and the firm’s leadership has reinforced this approach with a steady drumbeat of references to the importance of analytics in delivering business results. Big data has quickly become a key ingredient in the success of many modern businesses. Most large companies already have this—in fact, they generally have more than they can use. But table stakes alone won’t help you win, because Big Data isn’t just one more technology initiative. To succeed with Big Data, executives need to embed analytics deeply into their organizations, says Rasmus Wegener, a partner in Bain's Advanced Analytics practice. Abstract. To get it done, companies typically pursue one of four models: Note that in none of these models does IT own Big Data. But is building an advanced analytics capability really worth the investment? Explore our key health data products and resources from across the organization. SEE: America's coolest company: How Big Ass Fans went from cooling cows to a multinational tech powerhouse (TechRepublic cover story) | Download the PDF version. Big Data Maturity Models (BDMM) are the artifacts used to measure Big Data maturity. Intuit’s acquisition of Mint.com has helped expand its business beyond purchased software to ad-supported software. They create targets for operational or financial improvements. Ruben Sigala: You have to start with the charter of the organization. Commercial Lines Insurance Pricing Survey - CLIPS: An annual survey from the consulting firm Towers Perrin that reveals commercial insurance pricing trends. Besides these general benefits, Big Data helps a business organization in many different ways. Companies large and small are using structured and unstructured data to glean insights they can apply to boost productivity, cut costs, improve marketing efforts, and more. By moving their systems to the cloud, Zappos saw a dramatic bump in system performance, Dave said. The Cubs are halfway through their digital transformation effort, thus far focusing only on operational data. However, big data is helping to eliminate a lot of that pressure. Advertise | "We knew that in order to become the best, both on and off the field, investing time and resources into data to help us make better decisions was a must," McIntyre said. First, big data is…big. Customer service is one of the … But the senior team must also answer the question: To what end? Although new technologies have been developed for data storage, data volumes are doubling in size about every two years.Organizations still struggle to keep pace with their data and find ways to effectively store it. Big Data management is the systematic organization, administration as well as governance of massive amounts of data. Currently, Big Data is used in both the public and private sectors. This ebook, based on the latest ZDNet/TechRepublic special feature, looks at how businesses are using the data they collect to stay competitive, save money, boost profits, and power digital transformation. These devices store fluids like blood, antibiotics, and breast milk. We will incorporate advanced analytics and insights as key elements of all critical decisions. By "In that way, we provide a high-level safety net using clinical experience to note and respond to potential issues that could otherwise be missed by a busy bedside nurse.". The firm also worked with both SAP and AWS to build out a cloud-based proof-of-concept that gave them the ability to play with real-time data management, said Dave. In fact, it isn’t a technology initiative at all; it’s a business program that requires technical savvy. What will the company focus on? In the past, staff would have to manually check the temperature of these devices twice a day. Twice as likely to be in the top quartile of financial performance within their industries, Five times as likely to make decisions much faster than market peers, Three times as likely to execute decisions as intended, Twice as likely to use data very frequently when making decisions. A good first step is to benchmark your industry and determine your company’s current position in Big Data analytics and capabilities, compared with that of your chief rivals. It, of course, is Big Data—the mining and processing of petabytes’ worth of information to gain insights into customer behavior, supply chain efficiency and many other aspects of business performance. Using this data, the organization was able to make sure its products were properly distributed and marketed in the correct channels, McIntyre said. The City of Las Vegas recently began collecting data on road usage, including whether streets are being used by vehicles, pedestrians, or bicycles, according to the city's CIO Michael Sherwood. Generally speaking, it describes the collection of information – from both offline and online sources – to support the ongoing development and operations of a company or organization. Together, we achieve extraordinary outcomes. Businesses today, can receive huge datasets, known as big data, from traditional business systems, social networks, IoT devices, or any number of systems that are spread throughout an organization. This also guarantees the entire company recognizes the synergies and scale benefits that a well-conceived analytics capability can provide. Three qualities can help any company restart its growth engine by removing gunk and complexity that has built up over the years. “Big data”, machine learning, and artificial intelligence (AI) promise great benefit to the practice of medicine and to the health of populations. This is a big job. "It's important to place a distinct focus on making sure each business department understands how data and technology can help them reach their goals -- helping them to build trust in the platform," McIntyre said. The World Health Organization manages and maintains a wide range of data collections related to global health and well-being as mandated by our Member States. Bookmark content that interests you and it will be saved here for you to read or share later. For other organizations that may be considering a big data play, McIntyre cautioned that it may seem like an uphill battle at first, as some departments may be slow to embrace data integration. Big data is growing with a geometric progression, which soon could lead to its global migration to the cloud. There are some organizations that start with a fairly focused view around support on traditional functions like marketing, pricing, and other specific areas. In terms of the tools used, McIntyre said Informatica's data management platform is essential to the team's data analytics efforts, and the company has worked with the Cubs to build out an enterprise data warehouse. Still, nearly every company can improve its trajectory by determining priorities and picking the right angle of entry. Conner Forrest These models help organizations to create structure around their Big Data capabilities and to identify where to start. Subscribe to Bain Insights, our monthly look at the critical issues facing global businesses. This type of review will help you determine your Big Data ambition, embed a culture of analytics and decide where Big Data’s organizational home should be. But it isn’t too late. By exploiting the power of big data, firms can more effectively target the digital transformation projects that will have the biggest impact on their bottom line. At NewYork-Presbyterian Hospital, big data has helped accomplish two very important goals: Improving patient care and remaining compliant. Most companies are opportunity-rich when it comes to analytics, and large enterprises can pursue multiple avenues, either simultaneously or sequentially. The value of data must be demonstrated clearly to any skeptics in the organization, said Kabbaz. "The data is helpful beyond just traffic planning and safety: the data collected can also be used for economic benefits, such as knowing the number of potential customers who might drive by a business during certain times of the day," Sherwood said. A top challenge for McIntyre and the Cubs was preserving the "magic" of the legendary Wrigley Field, while still improving the fan experience. They learn how to overcome internal resistance, and create both the will and the skill to use data throughout the organization. Until now, data to answer that question has been scarce. By registering, you agree to the Terms of Use and acknowledge the data practices outlined in the Privacy Policy. It will house these capabilities in a variety of settings, but all will be coordinated by a CoE. Combining back office data with data from student-facing offices has given a much clearer picture of the lifecycle of a student, Kabbaz said. LexisNexis Risk Solutions uses it to identify individuals, including family relationships, thus helping financial institutions and other clients reduce fraud. These objectives often overlap. Staffing can be a particular challenge. Even if they did, the rest of the company would be unlikely to act on those insights. It … Big Data and Organization Management. By using this technology, the city can perform the counts on an ongoing basis, providing better data about how the roads are used and any needed repairs or improvements. A CoE requires not only skilled PhD-level data scientists, but also analytics engineers, business managers to identify and prioritize opportunities, and legal talent for advice on standards for data privacy and security. Travis Pearson is a partner with Bain & Company and based in the firm’s San Francisco office. Before committing to a specific big data project, Sherwood recommended that an organization start small, testing different potential solutions to the … If you don't know who (and where) your chief analytics officer is, you may already be behind the curve. Right now, many of these leaders are pulling even farther ahead of competitors, so others are playing the necessary game of catch-up. Xplenty is a platform to integrate, process, and prepare data for analytics on the cloud. In today’s high-speed world, most analysts do not have the familiar luxury of … Walmart is a big organization that gets 250 million customers in 10,000 stores. Since you have learned ‘What is Big Data?’, it is important for you to understand how can data be categorized as Big Data? Progressive’s new “Snapshot” device, which monitors driving behavior, helps the company determine whether a given driver is the right customer for the company. Operational Agility. Many companies are already dipping their toes into Big Data waters. That means spelling out their ambitions, developing analytics skills and mindsets throughout the company, and creating an organizational home for the new Big Data capability. Data organization, in broad terms, refers to the method of classifying and organizing data sets to make them more useful. There are four areas where analytics can be relevant: improving existing products and services, improving internal processes, building new product or service offerings, and transforming business models. To catch up, other companies need the right people and tools—but they also need to embed Big Data in their organizations. Examining more than 400 large companies, we found that those with the most advanced analytics capabilities are outperforming competitors by wide margins (see Figure 1). IEEE Big Data Initiative is a new IEEE Future Directions initiative. To get in the Big Data game, a company needs three kinds of table stakes. Students have a lot of choices for where they will attend school, and Miami University is using data to ensure that it's providing the best education possible and remaining competitive in the market, Kabbaz said. Big Data in the cloud. ALL RIGHTS RESERVED. Advanced analytics requires staff with state-of-the-art skills in everything from data science to worldwide privacy laws, along with an understanding of the business and the relevant sources of value. More information can be found in our Privacy Policy. Let’s see how. Big data can also be extremely valuable to big cities. You may unsubscribe at any time. How is Big Data going to improve our performance as a business? As you can see from the image, the volume of data is rising exponentially. Big data can be a great asset in achieving digital transformation. The second is advanced analytical tools, such as Hadoop and NoSQL. By continuing to browse this site, you consent to the use of cookies. Early adopters of Big Data analytics have gained a significant lead over the rest of the corporate world. For example, Nordstrom elevated responsibility for analytics to a higher management level in its organization, pushed to make analytical tools and insights more widely available and embedded analytics-driven goals into its most important strategic initiatives. *I have read the Privacy Policy and agree to its terms. While they expected to see some fluctuations with the new data, they found that some refrigerators were drifting above and below the acceptable narrow temperature band -- similar to a sine wave going in and out of compliance, Barchi said. Structured Data is more easily analyzed and organized into the database. By signing up, you agree to receive the selected newsletter(s) which you may unsubscribe from at any time. With the monitor probes, the organization is now able to easily monitor the devices every hour, 24 hours a day, seven days a week. Volume:This refers to the data that is tremendously large. As such, big data has become a foundational piece of many digital transformation efforts. With ambition defined, Big Data leaders work on developing a horizontal analytics capability. At a high level, a big data strategy is a plan designed to help you oversee and improve the way you acquire, store, manage, share and use data within and outside of your organization. Please review our terms of service to complete your newsletter subscription. This exercise will help you determine the investment necessary to improve your relative position. But given the complexities we have discussed—in particular the need to anchor analytics capabilities in the organization—toe-dipping isn’t likely to produce significant insights. | Topic: Turning Big Data into Business Insights. The experts describe big data projects in the three ways – Volume, velocity, and variety. Here are five organizations that have used data science to boost their business. Data silos. "With performance improvements across critical business processes -- ranging from 3 to 240 times faster -- and no timeout queries, employees become more productive.". Before committing to a specific big data project, Sherwood recommended that an organization start small, testing different potential solutions to the biggest problems and gauging the results. Special report: Turning big data into business insights. Data Science in Cambodia Mekong Big Data is an advanced analytics consultancy and systems integration partner specialized in Data Science and project management based in Phnom Penh. Some IT experts apply this primarily to physical records, although some types of data organization can also be applied to digital records. However, the city now uses technology from MotionLoft to conduct the counts, eliminating the need for ad hoc human counts, Sherwood said. A company’s choice of model obviously depends on its ambition and its existing operating model. The 2017 Big Data Analytics Market Study represents a cross-section of data that spans geographies, functions, organization size, and vertical industries. But that strategy creates another risk: loss of control over mission-critical functions. You also agree to the Terms of Use and acknowledge the data collection and usage practices outlined in our Privacy Policy. NewYork-Presbyterian senior vice president and CIO Daniel Barchi said that digital transformation of patient care took off with the hospital's Clinical Operations Center (CLOC) building, where nurses monitor the real-time physiological data of patients currently admitted in the Weill Cornell Medical Center Emergency Department. Only 4% of companies said they have the right resources to draw meaningful insights from data—and to act on them. Big data will change how even the smallest companies do business as data collection and interpretation become more accessible. Big data trends for 2020 – 2025. It should have a strategy designed to ensure continuous learning, so that it maintains state-of-the-art capabilities. You have to be very specific about the aim of the function within the organization and how it’s intended to interact with the broader business. It must host and maintain the technological infrastructure, set privacy policy and access rights, and determine accountability for compliance with local laws and data security. After the success of that initial move and the data insights that came with it, Zappos decided to move some other SAP systems to HANA on AWS as well. Stay ahead in a rapidly changing world. what is big data? Rasmus Wegener is a Bain partner based in Atlanta. "For most sports organizations, that comes down to five different areas: Ticketing, merchandise, retail, sponsorship, and broadcast rights," McIntyre said. They started by focusing on the data pouring into the organization from the three million fans that visit Wrigley every year -- particularly the data that affected internal operations and revenue. Mekong Big Data works with clients to realize huge rewards from data and to execute challenging projects. Xplenty. Prolifics. "Simply having the real-time data allowed us to identify more than 900 refrigerators that required replacement and upgrade, and improve our overall blood and drug safety compliance," Barchi said. A leading European telecommunications company, for example, is in the process of deploying Big Data for a range of purposes, including analyzing customer data to provide better offers and services, and using network trsffic data to optimize network management and investments. That also had implications for Las Vegas businesses, given that the city is now collecting up-to-the-minute data. This paper reviews the current legislature on the impact of big data on organization decision making. Another global consumer electronics company selected high-impact analytics projects for additional support, creating positive business results stories and additional demand for Big Data solutions. Big Data Strategies – Organizational Structure and Technology from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Many CDOs and Data Scientists came into being as part of a Big Data program. Sure enough, using the right big data platforms allows you to deliver the right message to the right audience and at the right time. Both proprietary and open-source tools and platforms are widely available these days— all you need are people capable of putting them to work. On the corporate level, the CoE serves as the go-to organization for analytics strategy and insight support. Big Data Analytics As a Driver of Innovations and Product Development. The potential for causing risk to the business can be serious if consistent rules and processes are not applied consistently. For companies looking to run big data in the cloud, Dave recommended looking to similar organizations that have made the move, and choosing an experienced vendor that offers the hardware architecture needed for their projects. The way that an organization deals with big data is an ongoing cycle and not a one-time project. Bain uses cookies to improve functionality and performance of this site. Another huge advantage of … Finding team leaders and identifying partners to fill out the center’s staffing may take between six and 12 months, with scaling up requiring another 12 to 18 months. Roughly two years ago, online retailer Zappos made the decision to migrate its data warehouse to the cloud. Big data management is the organization, administration and governance of large volumes of both structured and unstructured data . A big data strategy sets the stage for business success amid an abundance of data. They may need to help people change their everyday behaviors and then continue along the new path without backsliding. Samsung uses it to power the content recommendation engine on its newest smart TVs. The Big Data leaders then create an organizational home for their advanced analytics capability, often a Center of Excellence (CoE) overseen by a chief analytics officer. New, innovative, and cost-effective technologies make it easy for any organization to seamlessly implement big data solutions. Real-time Data to Improve Customer Engagement and Retention. Additionally, this helped validate the company's investments in big data and the cloud. It sets the road map, and it establishes and maintains privacy policies. For other organizations considering a big data approach to digital transformation, Barchi recommended considering any opportunity for automated monitoring, which has allowed NewYork-Presbyterian to improve operations, centralize tasks, and leverage clear, actionable insights. Currently, open-source ecosystems such as Hadoop and NoSQL deal with data storing and processing. It takes responsibility for supporting and coordinating every initiative from a business unit, thus providing synergies and scale benefits. Humana, the insurance provider, is using Big Data to transform its business: Using claims data, the company can determine who is likely to end up in a hospital for preventable reasons and then intervene early. Similarly, high frequency allows businesses to test theories in real-time. Creating an organizational home involves several key design decisions. While IT often plays a critical role in providing and maintaining the infrastructure and tools required to run Big Data analytics, most companies find that it’s a mistake to have IT own or manage the business adoption capability. They work hard to trace the causal impact of Big Data on the achievement of these targets. Data silos are basically big data’s kryptonite. Benchmarking European retail banks quantifies the benefits of digital for customers, employees and shareholders. Big data is much more than … In many shops Big Data is the core driver for better Data Governance (DG) and Data […] That’s why only a select few, so far, have made substantial progress. Early adopters of Big Data are outperforming competitors on several dimensions. The first is the data itself: large quantities of information in a format allowing for easy access and analysis. This allowed the Cubs to free up capital that could be reinvested in the team itself and other development projects. Prolifics is a global digital transformation company with expertise in data and analytics, … Industry analysts and media observers hype it as the next big thing for every enterprise, and many companies have been rushing to climb on board. Improving student success, retention, and graduation rates are the key goals of Miami University's big data and digital transformation effort. A well-functioning CoE enables cross-business-unit access and sharing of data. Previously, Las Vegas performed those counts manually every year, or as needed. What they do is store all of that wonderful … So you can’t just add more capacity and expertise, and expect your IT or marketing functions to begin generating data-based insights. For example, companies with deep analytics capabilities and an emphasis on experimentation and innovation, such as Google and Progressive, can rely on a generally decentralized approach. Organizations don’t change easily and the value of analytics may not be apparent to everyone, so senior leaders may have to make the case for Big Data in one venue after another. Big data challenges. "Together they co-innovated and tested a migration methodology that allows for the fast migration of SAP ERP Central Component [SAP ECC] from an on-premises instance running Oracle Database to a Memory Optimized AWS X1 instance running SAP ECC on HANA -- all while relying on the same proven SAP applications for core business processes," Dave said. As with any major initiative, executives and managers have a variety of tools at their disposal. Amazon's Andy Jassy talks up AWS Outposts, Wavelength as the right edge for hybrid cloud, AWS launches preview of QuickSight Q, its latest play for the BI market, AWS launches Amazon Connect real-time analytics, customer profiles, machine learning tools, AWS eyes more database workloads via migration, data movement services, © 2020 ZDNET, A RED VENTURES COMPANY. Progressive Insurance relies on it to capture driving behavior, determine customer risk profiles and decide on competitive pricing. An organization from the retail shopping domain that heavily utilizes big data is Walmart. While big data holds a lot of promise, it is not without its challenges. Saul Dave, the company's director of enterprise systems, said that Zappos started with moving its SAP Business Warehouse (BW) environment onto HANA, hosted by Amazon Web Services (AWS). And then there are other organizations that take a much broader view of … As the analytics leaders have discovered, succeeding with Big Data requires a different approach: You need to embed Big Data deeply into your organization. Terms of Use, Five organizations that are using big data to power digital transformation, Turning big data into business insights: The state of play, Infographic: Most companies are collecting data, but aren't using big data solutions, Free PDF download: Turning Big Data into Business Insights, Seven pitfalls to avoid when using big data to power digital transformation, Choosing the best big data partners: Eight questions to ask, Tech's war on drugs: How big data is being used to fight the US opioid epidemic, Booktopia uses big data to test assumptions before implementing changes, How Wayfair used big data and omnichannel retail to transform shopping, How HelloFresh uses big data to cook up millions of custom meals, How to build a successful data scientist career (free PDF), How to make sure your big data solution actually gets used, In-memory computing: Where fast data meets big data, How to keep your big data lakes clear and navigable. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with … When Andrew McIntyre, vice-president of technology for the Chicago Cubs, joined the organization in 2011, he quickly saw opportunities for IT infrastructure investments that could make a big impact. In 2016, the data created was only 8 ZB and it … However, as part of its digital transformation effort, the hospital installed networked monitor probes in each refrigerator and freezer, which send data back to a reporting and monitoring system at the CLOC. You can then begin experimenting, testing hypotheses to learn where and how advanced analytics is most likely to help your business. Once this system was put in place, the hospital was able to more clearly identify patients who needed intervention and improve their care. Here are five organizations that have used big data to power digital transformation.