Big Data | Tangenz Corporation

1. BIG DATA

2. WHO ARE WE? • Established in 2008, Tangenz is a technology consultation company serving clients across varied industries throughout the globe. • They are INC5000 listed, one of the fastest growing private US Companies. • Tangenz turns your Oracle investments into success by robust implementations, integrations, and managed services. • They are Oracle Gold partners and 100% focused on a varied stack of Oracle products.

3. Industry Expertise Tangenz provides relevant expertise to a wide range of industries • They serve customers across small, Mid-size and Enterprise segments-ranging from $50M to $50B in size-in multiple industries. • Services include: End-to-end implementations, managed services, project management, training, integrations with enterprise systems, and business process re-engineering.

4. What is BIG DATA? • Big Data is simply a mass compilation of business data that is too complex to sift through with use of traditional data management tools. • It is also a type of data but generated in huge volumes. • One of the foremost example of Big Data is Facebook in which 500+ terabytes of data gets instigated on a daily basis. The data is generated in the form of photo, video uploads, message exchanges, comments, etc.

5. About: BIG DATA • Potential and the numerous possibilities with Big Data, Machine Learning and Data Sciences are invigorating. However, going from this idea into reality has its difficulties. • The complexity of business decisions makes it hard for Organizations to understand where to begin and making a wrong choice can subsequently deplete resources and financial budget. • With exponential data available, the question that remains for every organization is “What is their Big Data and Machine learning technique?”, “How to combine Big Data with traditional data to drive actionable insights for better decision making? “ • Tangenz has a group of top notch Data Engineers and Big Data specialists who can help give a complete way towards opening bits of knowledge from Big Data.

6. Types: BIG DATA • Structured Data that can be stored in a fixed format is known as Structured Data. For eg. Employee data of whole enterprise • Unstructured Any data with an unknown form and structure is known as unstructured data. For example, The output returned by ‘Google searches’ is all unstructured • Semi-Structured Data that contains elements of structured and un-structured data is semi-structured data. For eg. Personal data stored in an XML file.

7. Scenarios Involved • Sales and Marketing • Supply Chain • Work Force • Fraud Detection and Prevention

8. Sales And Marketing • X sell and U sell Models • Use predictive models to Cross-sell and Up sell customers • Prospect Segmentation Segment prospects into small clusters and apply proper channel and messaging • Campaign Marketing Effectiveness • Analyze campaign performance with a Test and control set up • Sales Analysis and Forecasting • Sales Analysis & Forecasting using predictive models to plan for downstream fulfilment and servicing activities • Prevent CustomerAttrition • Continuous enquiry of customer conduct to forecast mix and take actions to prevent attrition

9. Supply Chain • Spend Analysis Analysis of huge volumes of spend data to identify cost saving and negotiating opportunities • Demand Forecasting Use mixture of statistical and judgmental methods to forecast Demand to enable Planning • Production Management Methods to improve asset use and reduce idle time • Inventory Management Identify inefficiencies to achieve direct and indirect cost saving, reduce waste and improve replenishment

10. Work Force • Performance Predict performance, discover gaps and predicts the best fit next level role for your employees • Retention Improve retention by predicting sign of churn and uncovering appropriate actions • Screening Improve screening by using algorithms to select resumes based on key job attributes • Forecast Forecasting hiring needs is based on past trends, seasonality and Management initiatives

11. Fraud Detection and Prevention • Fraud Reporting Comprehensive reporting packs for quickly uncovering hotspots, emerging trends and flash frauds • Predictive Modelling Spotting possibility of a fraud event using rigorous model training • Operational Analytics Help operations manage the investigation process effectively and efficiently • Preventive and Detection Strategy Analytics-led strategies for faster detection/ prevention of fraud events including optimization of fraud detection rules

12. Elements of Data Management services for BIG DATA • Big Data Analytics • Big Data Integration • Big Data Management

13. Big Data Analytics Oracle Analytics: A unified and scalable family of products that empower your entire organization to ask any question of any data, in any environment, on any device. Get the machine learning capabilities necessary to achieve your business objectives, all in scalable solutions. Oracle Data Science:Oracle Data Science is a collaborative, open, and enterprise-grade platform that helps data science teams become more productive and effective Oracle Machine Learning for Spark: Supported by Oracle R Advanced Analytics for Hadoop (a component of Big Data Connectors), Oracle Machine Learning for Spark provides an R interface for manipulating data across multiple sources with powerful features. Oracle Big Data Spatial and Graph:Handle the most challenging graph, spatial, and processing workloads on Apache Hadoop and NoSQL database technologies. Oracle MachineLearning The Oracle Machine Learning product family enables scalable data science projects with complementary components that help data scientists, analysts, developers, and IT achieve goals faster.

14. Big Data Integration Ingest, manage, and deploy data to the service needs of your business with Oracle's big data integration tools. Oracle Big Data Connectors Oracle Big Data Connectors is a suite of softwares that integrates Apache Hadoop with Oracle Database. Oracle Stream AnalyticsRapidly create real-time event stream processing applications and manage and execute solutions. Oracle Internet of ThingsGain new data-driven insights and drive actions by connecting, analyzing, and integrating device data.

15. Big Data Management Oracle Big Data ServiceOracle Big Data Service is an automated service based on Cloudera Enterprise that provides a cost-effective Hadoop data lake environment. Oracle Autonomous Data WarehouseOracle Autonomous Database scales elastically, delivers fast query performance, and requires no database administration. Big data management maximizes resources for organizations of all sizes for stronger data value and organizational processes. Oracle Cloud Infrastructure Data Catalog Oracle Cloud Infrastructure Data Catalogue is a robust metadata management service that powers the ability to organize, govern, and enrich information about data within Oracle Cloud and beyond. Oracle Big Data Appliance A comprehensive big data platform designed to acquire, organize, and analyze large data workloads from diverse sources at speed and scale. Oracle Cloud Infrastructure Data FlowOracle Cloud Infrastructure Data Flow is a fully managed big data service that lets you run Apache Spark applications with no infrastructure to deploy or manage. Oracle Cloud Infrastructure Data IntegrationOracle Cloud Infrastructure Data Integration is a cloud native, serverless ETL service for integrating, transforming, and moving data within the Oracle Cloud Infrastructure ecosystem. Oracle NoSQL Database A scale-out, low latency, key-value database service that includes support for JSON and table data types.

16. Big Data: Major challenges faced • Lack of understanding of Big Data • Most businesses fail to understand the clear picture regarding Big Data and fail to utilize its potential and importance. • Lack of Data Professionals • For proper handling of Big Data, companies require Big Data professionals experienced in working with Big Data with and put to use its tools efficiently. • Securing Data • Safety of such huge volumes of sensitive data is a daunting task. Companies push data security for later stages and end up facing data leaks • Optimal use of Big Data • The cases of Gaana Application, Microsoft etc signify that Big Data can be utmost critical. However, most businesses lack the dedication towards Big Data to achieve such feats and insights.

17. What does Tangenz do? • Being Oracle Gold Partners, and 100% Oracle focused, Tangenz converts your Oracle investments into a success. • They provide end-to-end implementations, managed services, project management, cloud roadmap and migration, third party integrations, training, etc to manage and optimally utilize your company’s big data. • Provide experienced Big Data solutions to help you achieve business goals.

18. Why choose Tangenz? • 100% Oracle focused and Oracle Gold Partners to provide robust implementation of varied Oracle products and services • They bring 12 years of experience and expertise of making your Oracle implementations a success • They bring in-depth business knowledge, and present valuable and important solutions for business success • They properly understand customer challenges, create necessary strategies to counter those challenges, and provide business solutions that matter • A team of experienced Oracle experts that work alongside your business • They can convert confusing Big Data into something meaningful.