Evolve with Advanced Analytics
What opportunities could your business drive if the right data was surfaced at the right time? How much more efficiently could your operations perform? The potential for transformation with insights from data analytics spans every industry, from healthcare to banking and transportation to manufacturing. For many early adopters, data is already reshaping their business, whether through new discoveries, improved products and services or better customer experiences overall, as they evolve from traditional Business Intelligence (BI) practices to more advanced analytics (predictive and prescriptive) that enable actionable insights.
Using Data Science in Healthcare with Johnson & Johnson
Johnson & Johnson (J&J), the world's largest healthcare provider, uses data science in
Watch the data science in
From Data to Insight—Priming Your Business for Analytics
Insights from complex data offer unprecedented opportunity to make discoveries and deliver better services and customer experiences. Deploying the right analytics strategy for your business is about more than just technology, and requires thoughtful navigation across the different stages of the analytics maturity curve. Businesses need to ask the right questions, take a rigorous approach to learning from experiments and most of all, address key organizational issues that are inhibitors to fostering a broad “data culture”.
Key questions to ask when assessing your analytics program ›
Industry Successes with Advanced Analytics
Early adopters are already finding that investments in analytics are driving real value today by addressing specific business problems. Consider a few representative examples below spanning very different industries:
Banking
European bank La Caixa uses analytics to reach new digital customers with an Intel and Oracle-based solution.
Entertainment
Caesars Entertainment reduced processing time for key jobs from six hours to 45 minutes, using the insight to improve customer segmentation for marketing and to improve security for meeting Payment Card Industry (PCI) and other standards.
Education
TeacherMatch has developed models that correlate a broad variety of teacher attributes with actual student performance measures to increase the effectiveness of the teacher hiring process.
Retail
China-based Nippon Paint uses predictive analytics to move their business ahead, thanks to a solution from SAP/HANA and Intel.
IT at Intel
Intel’s new in-memory data platform is transforming our own supply chain by providing real-time predictive business analytics to enable better, faster decision making.
Analytics Solutions
Intel’s technology investments and collaboration with software vendors are breaking down the barriers to analytics adoption and making analytics applications easier to deploy.
Cloudera
Partnering with Cloudera, Intel has helped deliver enterprise-grade innovations to the Apache Hadoop* framework in security, performance, management, and governance.
SAS
With SAS Analytics* 9.4 optimized for Intel® Xeon® E7 processors, organizations can see performance increases in predictive analytics workloads on one new powerful system.
SAP
Through the joint optimization of SAP* HANA and Intel® Xeon® E7 processors with TSX, organizations get performance improvements for real-time transactions and analytics.
Dell EMC
Dell EMC IT utilized Intel® Xeon® processor technology to develop a data lake architecture to enable real insights that move businesses forward.
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