Transaction Analysis Optimization
Working with Cloudera and Talend, organizations can run data discovery and analytics environment that enables auditors to more quickly find relevant emails, confirm agreements regarding deals or promotions, and correlate the relevant data. Auditors are often given hundreds of documents to review to identify a single issue, and machine-learning techniques can reduce that number significantly to enhance their productivity. Additionally, the ability to re-run and experiment on large data sets will enable staff to identify new service opportunities to deliver more value to clients.
Talend’s big data integration technology is used to bring structured and unstructured data into the Cloudera platform and prepare that data for analytics by using the power of Hadoop to cleanse and transform it. Using Talend’s visual design environment, developers can easily create data integration “jobs” that run inside Hadoop. Talend generates native Hadoop MapReduce and Apache Spark code, saving developer time while taking full advantage of the scalability and parallel processing power of Hadoop.
Apache Hive and Pig are used to process the data in batch format and perform “known” queries from auditors. Impala enables data managers to conduct ad-hoc queries for quality assurance.
Data-driven organizations use Talend’s integration solutions to gain instant value from all their data. Natively supporting the Cloudera platform, Talend’s open and unified solutions take the complexity out of any integration project and enable IT to be more responsive to the demands of the business, at a predictable cost. Talend lets organizations unlock all of their data, including historical, live, and emerging data from IoT—whether on premise or in the Cloud.