Big Data Use Cases

Harness Voracity for your business

Big Data creates new opportunities for data-driven companies and makes more and more companies competitive digital companies. The Data Management Platform IRI Voracity consolidates the discovery, integration, migration, governance, and analysis of large volumes of data into an affordable, agile Eclipse framework that IT and business users, data scientists, and data security teams can use collaboratively.

Take a look at some of the ways Voracity can help you leverage large data volumes!

BFSI
Healthcare

Tracking transactions for an account, lender, or provider is easy. But with thousands or millions of transactions, the data can become too large and entangled, which carries risks. Use Voracity, to sort and filter data by out-of-range values. Connect values with known issues or individuals to identify suspicious transactions and flag events that match the „profile“ of fraud. Bind your own algorithms to Voracity jobs and use your preferred visualizations within the GUI. Combining data Munging and Mining helps you find and disable accounts faster, so you can prevent losses and enforce laws more effectively.

IRI Customers

Commercial lenders can leverage vast sources of external and internal data to avoid risky loans. In addition to the borrower's credit history, regulatory compliance and market forces, climate, social data, industry repayment statistics, and the financial health of similar companies in the region are examined. With this information, repayment rates can be adjusted to the weight of these factors before they ever become an issue. Use CoSort or Hadoop engines in Voracity to filter, sort, join, aggregate, mask, and pass these data points to tools like Tableau, so that visualizations at least 8x faster can be realized.

IRI Customers

Credit risk scoring was one of the first applications of big data in the financial services industry. It started decades before Hadoop and advanced analytics at major credit bureaus like Equifax, which used CoSort and large servers to sort and integrate millions of historical data points. Companies like CoreLogic use similar techniques and can now use CoSort and Hadoop engines in Voracity use to combine traditional credit data with sources such as utility bills and rent payments. This can improve score accuracy and facilitate lending, marketing, and collections for banks and non-banks for previously unscorable or riskier borrowers.

Patient health should be assessed as a spectrum, not just through discrete data points from hospital or clinic visits. Blood pressure and glucose checks, pacemaker to EMR feeds, etc., generate data streams for more holistic patient observation. IoT health data can flow through slowly changing dimensions or changed data acquisition reports in Voracity, to compare new data basis and diagnostic values that can detect anomalies. The same workflows can also Visualizations generate and send reports to patients and doctors via email before a crisis occurs... can improve treatment outcomes and save lives.

Data on human cell lines and the genetic and environmental factors that influence them produce phenotype data, which are a rich source of knowledge in themselves. Drug studies performed on known human and mouse phenotypes show changes in gene and protein expression in their cell lines. Voracity can help you quickly transform genetic data into single-node-type networks, gene set libraries, and bipartite graphs integrate, so that you can uncover more relationships between genes, drugs, and phenotypes. This type of digital scientific application on biodata can help develop more individualized and effective therapies.

Similar to the unified view of the customer, the unified view of the patient can be a golden electronic medical record (EMR) that contains their medical, pharmacological, and family history, as well as demographic, diagnostic, treatment, and prognostic data. Voracity can merge dimensional data from different files or tables into a patient, remove duplicates and reconcile conflicts, as well as protected health information (PHI) de-identify. These data integration, cleansing, unification (MDM), and masking functions help you create HIPAA-compliant patient views to improve medical care and support research.

Telco & Media
Transportation

Telecommunications and cable companies are uniquely positioned in the world of big data, as their customers provide valuable, detailed information with every use of a service. Onboarding and call detail records (CDRs) provide data ranging from demographic and geographic usage to device usage and content preference, as well as predictive data from call, SMS, web, and app history. Leverage Voracity, um CDRs and Clickstream-Data not only for billing and analytics, but also for legal investigations and Infonomik to process, i.e., to sell, which is permitted to „affiliates“ who can use preference data that is relevant to their business.

 

Big Data means that data extracted from traditional and current sources of consumer preferences keeps in-demand and popular content trending. Use Voracity, ...to extract string and pattern matching values from social data from Hubspot and Marketo and link them with internal transactional and public demographic data to identify display, browsing, and purchasing habits, establish ratings and rankings, understand opinions, and discover other factors that will identify target audiences and predict the type of content your customers or prospects will want...before they even know they want it.

Street cameras, highway sensors, speed monitoring devices, mobile apps, weather reports, and other traffic-related devices automatically generate more and more data. Your agency can quickly use them to VoracityData integration engines process and route this data to BIRT in its Eclipse GUI, which in turn works with Integeo to Geodetic maps to create. See how weather impacts congestion and safety conditions. Identify and respond to accidents and other dangerous incidents to ensure the free flow of traffic on the roads. Analyze all this information as it arrives and better manage the roads you drive on.

Railways use big data for track safety, departure scheduling, pricing, timetabling, fuel efficiency, and cargo security. For example, acoustic and visual sensors under each carriage feed can provide predictive analytics to detect track and wheel issues before a derailment. Other sensor data from rails, switches, motors, and terminals can be integrated with weather data to make schedule, personnel, and cargo delivery adjustments. By providing origin and destination data with historical and competitive pricing in Voracity Can Sabre's air and rail customers predict demand and thus support forecasting, pricing, and seat allocation, as well as staffing, shipping capacity, etc.?.
 
E-commerce
Energy
Customer data collected at various touchpoints is often inconsistent or siloed. And now with even larger sources (e.g., social, mobile, and demographic sources) available for advertising, loyalty, and sales decision analysis, the problems of standardizing, correlating, and utilizing all of this data are growing. But so are the business opportunities, as big data offers larger frames of reference for trend analysis and “higher resolution" views of individual customers. Leverage Voracity, for the creation of purchasing groups for targeted marketing segment and holistic, uniform views create each customer that will help you customize the service and strengthen customer loyalty.
 
Understanding what products customers want is key to understanding when and where to deliver them (in-store, online, or geographically). Leverage sales data, survey responses, demographic data, and social media to identify, for example, color, style, and design preferences, and to find out what's popular to increase brand appeal and industry penetration. And how? Utilize data integration and the analysis capabilities of Voracity, to mix purchasing behavior and sentiment data against seasonal, regional, weather-related, and other factors, and with Regression analysis, analyze the trends. Act on them before the competition does to gain more market share.
 

Big data helps retailers track market forces, demand trends, income demographics, and pricing history to adjust inventory and prices, and plan sales promotions. They adapt to changing business conditions to avoid lost opportunities and mistimed expenditures. Use Voracity, to integrate preference and price data from retail data brokers, public data, your own pricing history, and competitor research. By recognizing and understanding these trends, you can fine-tune pricing to: meet market conditions, get ahead of the competition, and improve profits through better-timed discount launches and profitable stop data.

IRI Customers

Thanks to the growth of smart sensors and the vast amounts of data they produce, businesses and homeowners can track their energy consumption and reduce waste in ways that weren't previously possible. The Pecan Street Research Project in Austin collects 90 million unique electricity usage data points, with voltage sampled daily from just 900 meters. The technology of smart meters and devices like Wi-Fi-enabled thermostats that communicate over the internet (the „Enernet“) can transfer data through tools such as Voracity to transfer to create detailed inspection reports (that look more like phone bills) so that customers can better understand their energy consumption and avoid or minimize waste.
 

Beyond Enernet sensors, there is today a grid management technology that measures, captures, and reports on the condition of every part of a grid in real-time. It makes it possible to fix customer issues and pinpoint exactly where problems lie, extract data to uncover potentially systemic weak parts and systems before they become a larger threat, and monitor energy movement. By correlating this data with weather or other demand factors on Voracity Can you understand when to shift energy consumption to save money, which lines need inspection or repair, and provide location-specific recommendations remotely.

IRI Customers