Create Real-time Business Value with Advanced Analytics

Analytics is at a threshold. Next-generation big data analytics offers substantial benefits, as the latest technology advances unlock enormous potential from the rivers and mountains of data we now produce. In general terms, organizations across the board stand to gain from Return On Investment (ROI), enhanced customer experiences, and reduced costs, but how do these map onto tangible business benefits? Let’s look at use cases showing how advances in analytics platforms are leading to incredible breakthroughs in business models, capabilities, and results.

Less Fraud and Waste in Healthcare

Given its data-fueled nature and massive complexity, healthcare is a strong candidate for next-generation analytics. Imagine a patient visits the doctor for a broken wrist, for which the doctor prescribes a painkiller. An opportunity for fraud exists, as the patient could fill the prescription at multiple pharmacies, or indeed bill two different insurers for the same prescription. Just as likely is the risk that the person might go to another doctor for a different condition, to be prescribed medication which reacts against the painkiller.

Organizations can mitigate the potential for fraud or sub-optimal outcomes with the help of advanced analytics, which can combine siloed data sets and deliver real-time alerts (or block transactions) if transgressions or discrepancies are identified.

For example, an Intel collaborator and Solution Integrator (SI) has recently been working with the Open Source Trusted Analytics Platform (TAP) toolkit to create intellectual property around algorithms specifically designed for clinical trial data sets. The SI has delivered successful proof-of-concept demonstrations to government organizations including the Veteran’s Administration, Centers for Disease Control, U.S. Army, and National Institutes of Health.

Proactivity and Actionability in Cyber Intelligence

Cyber-crime is another area of risk that next-generation analytics can address. While cyber intelligence focuses on assessment and identification of internal and external vulnerabilities and threats, legacy solutions tend to be reactive and largely based on event data gathered from internal sources. As such they may not identify new anomalies or threats—so-called “zero-day attacks”—quickly enough to shut them down before they cause damage.

In contrast, next-generation analytics can employ a far broader set of information inputs to the risk assessment process, such as social media accounts, financial histories, employment records, and a wide variety of other data sources. In combination with the right frameworks and algorithms, this allows for predictive intelligence that can provide actionable risk signals far in advance of legacy approaches.

Accelerating Innovation and Driving Higher Outcomes

Looking more broadly, many organizations are starting to benefit from accelerated innovation through next-generation analytics, combining the positive impacts of analytical accuracy, personalization, and speed of insights. The latest generation of Intel® Xeon® Scalable processors specifically aids multi-terabyte big data workloads with outsized execution resources, large memory capacity, and advanced reliability features, helping deliver:

  • Improved accuracy, as enhanced algorithms enable not only better insights but also greater confidence in their quality and applicability
  • Greater personalization, moving data users and decision makers into the driving seat and giving them direct access to deeper levels of insight
  • Faster delivery, removing bottlenecks to real-time decision making and creating new opportunities to deliver value from the insights created.

Organizations can deliver on their big data analytics goals by configuring analytics servers with task-optimized hardware components such as:

Intel® Xeon® Scalable processor. Significantly increased cores, memory bandwidth and I/O enable the Intel® Xeon® Scalable processor to deliver improved performance and faster results across a range of analytics workloads.

Intel® Optane™ Solid State Drives. Built on pioneering Intel® 3D XPoint™ technology, Intel® Optane™ SSDs combine high I/O at low queue depths, quality of service and low latency under load, enabling greater server scaling and reducing transaction costs.

High-speed Integrated Intel® Ethernet. Up to 4x10GbE capacity keeps data flow between network nodes running at peak levels, with reduced total system cost, lower power consumption, and improved transfer latency of large storage blocks.

Intel® Omni-Path Architecture. Intel Omni-Path Architecture (Intel® OPA) delivers the performance for tomorrow’s high performance computing (HPC) analytics workloads and the ability to scale to tens of thousands of nodes—and eventually more—at a price competitive with today’s fabrics.

By processing larger, more diverse data sets more quickly, enterprises and agencies can innovate faster, advancing corporate goals such as customer satisfaction, profitability, public health, and preservation of resources. Across industries, we see examples such as more customized, accurate drugs in healthcare, supply chain and inventory management efficiency in retail, or fraud prevention in financial markets.

Benefits from next-generation analytics can also be seen across stakeholder groups, as customers gain from improved healthcare outcomes, shorter travel times and lower hospital costs, while SIs and other collaborators gain from additional revenue models, based on insights gained from analytics work.

The scale of benefits of next-generation analytics is only bounded by the scale of solutions. With high-performance components from Intel at the heart of analytics servers, and tools optimized for Intel® technology throughout the solution stack, next-generation analytics and accelerated innovation are now within reach for all organizations.

Learn more about some of the exciting use cases that next generation analytics is helping enable in the solution brief Create Real-time Business Value with Advanced Analytics.

Or discover how advanced analytics can help transform your business, visit www.intel.com/analytics.


Intel® technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com.

All information provided here is subject to change without notice. Contact your Intel representative to obtain the latest Intel product specifications and roadmaps.

Cost reduction scenarios described are intended as examples of how a given Intel- based product, in the specified circumstances and configurations, may affect future costs and provide cost savings.  Circumstances will vary. Intel does not guarantee any costs or cost reduction.

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About Ken LeTourneau

Ken LeTourneau has been with Intel for 20 years and is a Solutions Architect focused on Big Data and Artificial Intelligence. He works with leading software vendors on architectures and capabilities for Big Data solutions with a focus on analytics. He provides a unique perspective to leading IT decision makers on why AI is important for 21st century organizations, advising them on architectural best practices for deploying and optimizing their infrastructure to meet their needs. Previously, Ken served as an Engineering Manager and Build Tools Engineer in Intel's Graphics Software Development and Validation group. He got his start as an Application Developer and Application Support Specialist in Intel's Information Technology group.