Rtech gets you there faster.
SOLUTIONS
Big Data is the new competitive advantage.
With data being generated today at breathtaking rates, enterprises have significant ability to differentiate their offerings, improve outcomes for their customers, and increase their operational efficiency on the basis of data.
Rtech enables organizations to make the most of their data by providing a seamless Big Data experience from day one—Big Data-as-a-service.
Financial Services
Information is central to every financial services firm, and the industry is awash in data from which information advantage can be gleaned. Whether the source is consumer data from retail banking and insurance, transaction data captured by the payments industry, or market feeds to which capital markets firms subscribe, financial institutions seek to maximize revenue opportunities and minimize risk using insights obtained by analyzing their data. Rtech provides high-performance, secure Big Data solutions that enable financial services firms to extract the most value from their data.
Use cases include:
Customer 360. Aggregating structured and unstructured data from multiple customer interactions to obtain a holistic view of customers.
Trading analytics. Analyzing a combination of historical and real-time market data to make investment decisions.
Risk management. Accurately modeling the credit and investment risk the firm is exposed to at any point in time.
Insurance analytics. Using advanced analytics to set insurance rates, particularly from usage-based insurance programs.
Fraud detection. Identifying instances of fraud, such as unauthorized transactions, false insurance claims, and money laundering.a
Links
Rtech Data Cloud for financial services
Learn more about the Rtech Data Cloud
Learn more about the Rtech Insight Cloud
Links
Learn more about the Rtech Data Cloud
Learn more about the Rtech Insight Cloud
Rtech Data Cloud for manufacturing
Manufacturing
The manufacturing sector is in the midst of a major transformation, fueled by the proliferation of connected devices and sensors employed in complex industrial systems—the Industrial Internet of Things. This wave of instrumentation brings with it billions of new data sources and vast amounts of data, and its full potential can only be realized when coupled with Big Data analytics. Rtech enables manufacturing firms to bring together all of their data streams for analysis in a scalable, cloud-based Big Data ecosystem.
Use cases include:
Predictive asset maintenance. Proactively managing physical systems based on failure-prediction and anomaly-detection algorithms to prevent loss of productivity.
Supply chain optimization. Analyzing inventory and location data to ensure availability and on-time delivery of material while minimizing cost.
Product quality analytics. Monitoring product quality through the analysis of product sensor data and customer sentiment.
Healthcare
Data and analytics in the hands of healthcare providers, pharmaceutical companies, and research institutions have great potential to improve medical outcomes. Analysis of medical records and real-time patient data allows providers to deliver better care, while the combination of clinical, research, and public data can increase the odds of getting new treatments to market. In addition, some fields of healthcare research have always dealt with very large data sets, and Big Data technologies now offer the ability to process this data cost effectively. Rtech provides healthcare organizations a path to game-changing analytics without major data center investment, while meeting mandated privacy and security requirements.
Use cases include:
DNA sequencing. Sequencing patients’ DNA to predict risk of disease and prescribe personalized treatments.
Precision medicine. Determining optimal treatments based on genetic information, molecular analysis, environmental factors, and statistical clustering.
Predictive analytics for patient care. Identifying patients at risk of infection or readmission using a combination of historical data and real-time patient vitals.
Links
Rtech Data Cloud for healthcare
Rtech is HIPPA compliant
Learn more about the Rtech Data Cloud
Learn more about the Rtech Insight Cloud
Links
Read the MarketShare case study
Learn more about the Rtech Data Cloud
Learn more about the Rtech Insight Cloud
Marketing
Marketing analytics companies work with Rtech to process a multitude of information, from point of sale (POS) and transaction data to clickstream, ad tracking, and social media data, so that they can develop richer customer profiles and analytics solutions for their own clients. Using Rtech to store and analyze the extensive data available, companies have significant opportunity to gain analytic insight and differentiate.
Use cases include:
Customer segmentation
Customer 360
Predictive lead scoring
Personalized marketing
Sentiment analysis
Platform for client analytics services
Digital Media and Gaming
Marketing analytics companies work with Rtech to process a multitude of information, from point of sale (POS) and transaction data to clickstream, ad tracking, and social media data, so that they can develop richer customer profiles and analytics solutions for their own clients. Using Rtech to store and analyze the extensive data available, companies have significant opportunity to gain analytic insight and differentiate.
Use cases include:
Customer segmentation
Customer 360
Predictive lead scoring
Personalized marketing
Sentiment analysis
Platform for client analytics services
Links
Read the Visible Measures case study
See webinar on maximizing Gamer Lifetime Value
Learn more about the Rtech Insight Cloud
Learn more about the Rtech Data Cloud
Read the Glu care study