Big data research


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Big data research

  1. 1. RApTOR Technical Presentation
  2. 2. TeleArc Capabilities 1) Binary Data 2) Mediate Data 3) Unified Format 4) Reconcile large Data 5) Analysis 6) Data Hosting – Applied 7) Reporting 8) Data Slice & Dice Private and Confidential 2
  3. 3. New Data Types Private and Confidential 3 BI & Analytics Business Data Web Logs Videos Images Sensor Data 3rd Party Apps
  4. 4. What is Big Data? Private and Confidential 4 What it IS Unstructured Petabytes+ Evolution of RDBMS Many Platforms Difficult for Analytics Transactional Simple or Easy Structured DW One Platform Easy or Fast for Analytics
  5. 5. Characteristics of Big Data Private and Confidential 5
  6. 6. Big Data Technologies Private and Confidential 6
  7. 7. Five ways to leverage Big Data’s potential to create Value 1) Creating Transparency – Making Big Data more accessible across department 2) Enabling Experimentation – Analyze, Identify and discover needs or opportunities 3) Segmentation Population – Customize products and services to meet customer needs 4) Replacing human decision making – Minimize decision risk and improve decision making 5) Innovating new business model, products and services – Enhance and create new products Private and Confidential 7
  8. 8. Advanced Analytics Private and Confidential 8 INFORM ATION MANAGE MENT Leveraging historical data to drive better insight into decision- making for the future FORECASTING Mine transaction databases for data of spending patterns that indicate a stolen card.. DATA MINING TEXT ANALYTICS Finding treasures in unstructured data like social media or survey tools that could uncover insights about consumer sentiment Analyze massive amounts of data in order to accurately identify areas likely to produce the most profitable results OPTIMIZATION STATISTICS
  9. 9. Big Data Analytics seen in following verticals Private and Confidential 9
  10. 10. Companies Spending on Big Data by Global Industry Private and Confidential 10
  11. 11. Business Functions Explored for Big Data Practices Marketi ng Sales Custom er Service Manufa cturing R & D Distribu tion Finance Human Resourc e Private and Confidential 11
  12. 12. Potential benefit Big Data Generate for Marketing Determining marketing campaign effectiveness Determining marketing channel effectiveness. Tailoring marketing campaigns and promotional offers Determining value customer Doing customer segmentation Pricing Predicting customer Behavior Determining which product features are valued and not valued Determining the optimal time to launch marketing campaigns Monitoring customer and market perception of the company Discerning customer needs for new product/services Personalized search results on a company’s website Monitoring and improving the customer experience on the web or mobile devices Discerning customer needs for enhancement to existing product and services Comparing pricing with competitors Identify new geographic markets for existing products Marketing to consumers based on their physical location Understanding competitor’s move (beyond pricing) Monitoring and improving the customer experience in offline channels 12
  13. 13. Potential benefit Big Data Generate for Sales Identifying customers with the most value/ potential value Identifying cross selling opportunities Determining optimal sales approaches and techniques Determining optimal sales offers and messages Creating more accurate sales forecasts Sizing and structuring sales territories Determining which customers to avoid Analyzing behavior of visitors to company’s ecommerce site to see what they are most and least interested in Determining what other purchases customers may be interested in and making recommendations to those customers Private and Confidential 13
  14. 14. Potential benefit Big Data Generate for Customer Service Identifying customers who are at risk of dropping our products / services Analyzing behavior of visitors to company’s website to see what they are most and least useful Identifying patterns in customer complaints (both internal in the call center and external) Identifying trends in customer inquiries Discerning trends in customer usage of the company’s products / services Monitoring our products as customers use them to detect manufacturing or design problems Private and Confidential 14
  15. 15. Product quality and defect tracking Supply planning Manufacturing process defect tracking Supplier components defect tracking Collecting supplier performance data to inform contract negotiations Forecasting of manufacturing output Increasing energy efficiency Simulation and testing of new manufacturing processes Enabling mass customization in manufacturing Private and Confidential 15 Potential benefit Big Data Generate for Manufacturing
  16. 16. Monitoring product quality Identifying customer needs for new products and enhancements to existing products Testing new product design Getting continuous customer feedback on products already in market Testing new products before market launch for viability with customers Enabling concurrent engineering the simultaneous design, development and engineering of a product Conducting open innovation soliciting ideas for new products through the web Private and Confidential 16 Potential benefit Big Data Generate for R & D
  17. 17. Monitoring product shipment Determining locations of inventory shrinkage Identifying spikes in logistics costs, where and why they are occuring Boosting energy efficiency Identifying supply chain bottlenecks to speed the flow of goods, materials etc Determining appropriate inventory levels Private and Confidential 17 Potential benefit Big Data Generate for Distribution
  18. 18. Budgeting/ Forecasting/ Planning Measuring risk Determining financial amounts for customers Identifying bad credit risks Identifying accounting irregularities Identifying areas of external theft Identifying areas of internal theft Private and Confidential 18 Potential benefit Big Data Generate for Finance
  19. 19. Improving employee retention by determining who is most likely to leave and trying to discourage them Identifying effectiveness of recruiting campaigns Determining employees to promote and provide other rewards Gauging employee morale/ engagement Determining optimal job candidates for a certain job/ building more productive profiles for hiring Determining the most valuable employees Identifying internal mentors who could coach other employees Finding information in the company’s digital archives Finding employee with the right knowledge to deal with a company issue Identifying potential recruits who work outside the company Private and Confidential 19 Potential benefit Big Data Generate for Human Resource
  20. 20. Solutions to drive decisions within different verticals Private and Confidential 20
  21. 21. Enhancing Fraud Detection for Banks and Credit Card Company Private and Confidential 21 Scenario Build up to date models from transactional to feed real time risk scoring systems for fraud detection Requirements Analyze volumes of data with response time that are not possible today Apply analytic model to individual client, not just client segment Benefits Detect transaction fraud in progress, allow fraud model to be updated in hours than weeks
  22. 22. Social Media Analysis for Products, Services and Brands Private and Confidential 22 Scenario Monitoring data from various sources such as blog, boards, news feeds, tweets and social media for information pertinent to brand and products, as well as competitors Requirement Extract and aggregate relevant topics, relationship, discover patterns and reveal up and coming topics and trends Benefits Brand Management for marketing campaigns, Brand protection for ad placement networks
  23. 23. Store Clustering Analysis in the Retail Industry Private and Confidential 23 Scenario Retailer with large number of stores needs to understand cluster patterns of shoppers Requirement Using shopping patters for multiple characteristics like location, income, family size for better product placement Benefits Store specific clustering of products, clustering specific types of products by locations
  24. 24. Healthcare and Energy Industry Private and Confidential 24
  25. 25. Utilities Private and Confidential 25
  26. 26. Thank You Private and Confidential 26