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Similar a 151116 Sedania Cloudera BDA Profile
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151116 Sedania Cloudera BDA Profile
- 1. 1© Cloudera Sedania, All rights reserved. © Copyright 2016 SEDANIA INTRODUCING
- 2. 2© Cloudera Sedania, All rights reserved. A JOURNEY TOWARDS A DATA-DRIVEN ORGANISATION USING CLOUDERA SEDANIA BIG DATA SOLUTION
- 3. 3© Cloudera Sedania, All rights reserved. We optimize data to help achieve your Business Vision We empower organization to embrace Digital Transformation
- 4. 4© Cloudera Sedania, All rights reserved. Market Leaders in Enterprise grade Apache Hadoop platform 2500+ Strong Partner Ecosystem Strong Focus & Momentum in all industries Founded by Employees of Big Data Solutions E.g.: Customer 360, Risk, EDW off-load, Telco Fraud Solution CLOUDERA OVERVIEW 1400 Employees Globally USD780M funding from Intel – Tight partnership in R&D >1000 Clients across the industry EMEA + APAC In significant new deployments #1
- 5. 5© Cloudera Sedania, All rights reserved. Data Systems Applications System Integration More than 2500 partners ensuring compatibility with existing investmentsOperational Tools Infrastructure Enterprise Data Hub Security and Administration Unlimited Storage Process Discover Model Serve ROBUST ECOSYSTEM OF PARTNERS
- 6. 6© Cloudera Sedania, All rights reserved. Operational Efficiency New Business Value WE HELP YOU DISCOVER NEW BUSINESS VALUE AND IMPROVE OPERATIONAL EFFICIENCY Data Engineering Pragmatic Data Engineering and Pipeline Creation Analytic Database Explore, analyze, and understand all your data Data Applications Build data-driven products to deliver real-time insights
- 7. 7© Cloudera Sedania, All rights reserved. Where are you? Who do you know? How / why have you contacted us? MODERN ARCHITECTURE – FLOW WITH CDH Where are you? Who do you know? How / why have you contacted us? Billing/ Ordering CRM/ Profile Marketing Campaigns Network Other Structured Sources Location Social Clickstream N/W Logs Apps Sqoop or Native Connector Secure Kafka Cluster Sqoop or Native Connector to Impala SQL Via Impala Solr HBase EDW BI Tools Search Online & Mobile Apps Flume Call Center
- 8. 8© Cloudera Sedania, All rights reserved. PUTTING BIG-DATA TO WORK FOR ENTERPRISES Top use cases across industries Customer Experience Mgmt. (Customer 360°) Network Optimization Data Monetization Operational Analytics Targeted Marketing / Personalization Predictive Churn Analytics Proactive Care Telco Fraud Real –Time Network Analytics Network Investment & Planning Revenue Leakage / Assurance Cyber Security Analytics Data Analytics as a Service (DAaaS) IoT Services & Analytics M2M Analytics Predictive Capacity Planning
- 9. 9© Cloudera Sedania, All rights reserved. Who are you? Where are you? What car have you purchased? What services do you prefer? Who do you know? What can you afford? What is your value to the business? Why have you contacted us? KNOW YOUR CUSTOMER
- 10. 10© Cloudera Sedania, All rights reserved. USE CASES ACCROSS INDUSTRIES
- 11. 11© Cloudera Sedania, All rights reserved. Transform the Customer Digital Experience Challenge: • Disparate view of customers • Unable to cost-effectively analyze unstructured data • Manual and random analysis of web chats and customer sentiments Solution: • Tapping into 100% of unstructured data compared to 1% previously • Discovering valuable patterns in web chats that were previously undetectable • Reduce customer complaints by 25% • Roadmap: expand usage to include omni- channels for 360° view Increase Customer Retention, Loyalty and Acquisition Rates using Digital Capabilities Challenge: • Fragmented systems and disparate view of customers Solution: • Serve trend information back to customers via Santander’s “Spendlytics” application • Capture, transform and enrich data in near-real time USE CASES – CUSTOMER 3600
- 12. 12© Cloudera Sedania, All rights reserved. Digital personalization: Spend data and behavior-based lifestyle segmentation Challenge: • High storage costs plus acquiring mass archival data was cost-prohibitive • Unable to obtain a 360 view of consumer spend data, preferences and behavior or tap into new data sources Solution: • Used Cloudera to analyze consumers’ preferences and interests based on their spending behavior patterns. Enhancing spend data with new data sources • Processing 500% more matches per day • 50X performance gains • Deployment in < 6 months Next Best Offer: Using better customer profiling and collaborative and content-based filtering to offer the most appropriate bundle of products at any given time. Challenge: • Too Many Sources • Disparate data is hard to correlate and analyze for sufficiently personalized product bundling, cross-sell, and up-sell opportunities served in real time Solution: • Recommendation Engine • Centralize data from silos: transactions, clickstreams, service logs, social, etc. • Find data using Search and build models USE CASES – CUSTOMER 3600
- 13. 13© Cloudera Sedania, All rights reserved. Builds Holistic Picture of US Market By Looking at 50BN Events/Day Challenge: • Overseeing transactions from more than 4,100 firms incl. exchanges, brokers-dealers & trade reporting facilities • Difficult and costly to aggregate and analyze increasing volume of data from numerous sources incl. orders, quotes and trades Solution: • Built market event graph database using EDH • Provides interactive access to graph data for investigations • Using EDH on-premise and in the cloud • Monitoring and analyzing transactions to detect fraud, insider trading, short sale, best execution • Savings of $10-20M annually Portfolio Analysis: Improves accuracy and reduces trade delays. Challenge: • Bank staff wanted faster notification when database issues impacted market events. • Using very large data volumes in portfolio analysis, but the traditional databases and grid computing technology they used wouldn’t scale. • Long time to process analytic workload Solution: • An enterprise data hub to reduce the time and cost of its analytics. • The bank can work with large-scale data and explore it from all angles, meaning their portfolio analysis is run on a much larger scale, delivering better results. • Improve processing time from 10hrs to 30 mins USE CASES – DATA DISCOVERY & ANALYTICS
- 14. 14© Cloudera Sedania, All rights reserved. Delivering deep insights and best practices in big data security & compliance Challenges: • Need to process 10 Petabyte of data daily and unable to detect granular fraud and run next best offer analytics. +24hours to process • Existing solution too expensive and too slow to perform Solution: • First PCI certified Hadoop platform • Secures 10 PB in a PCI-compliant manner daily • Improved fraud detection and prevention via Machine Learning in real time • Increase customer analytics turn around time in less than 15minutes USE CASES - DATA DISCOVERY & ANALYTICS
- 15. 15© Cloudera Sedania, All rights reserved. Pervasive Analytics Information-driven business culture that uses ubiquitously available analytics of all kinds to continuously improve operations efficiency and decision-making. “Everyone would be working off the same datasets“ – Mike Olson, Cloudera's Chief Strategy Officer. Outcome: Allow federal agencies to sweep up and store everything. It could then leverage emerging big data analytics tools to sift through sensor data and social media chatter based on needs. Source: http://www.enterprisetech.com/2015/02/26/cia-embraces-cloudera-data-hub/ CIA EMBRACES CLOUDERA DATA HUB
- 16. 16© Cloudera Sedania, All rights reserved. ASIAN MINISTRY OF HOME AFFAIR Collected CDRs data from all nationwide telco into a centralized Cloudera Data Hub for national security monitoring. PAST: Not possible to store semi- structured streaming data from mobile devices into traditional databases but now possible with Hadoop. OUTCOME: React in real time to counter threats and counter cybercrime by understanding the social network connection of the population.
- 17. 17© Cloudera Sedania, All rights reserved. DRIVING A 360° CUSTOMER VIEW @ SFR Actionable 360 Customer View SFR wanted to create a centralized, shared, detailed view into the customer journey that would be available to employees across the company for real-time search, reporting, and analysisBusiness Challenge Solution Deployment Key Benefits Realized A Single, Centralized Data Store • Complemented its data warehouse with Cloudera Enterprise platform – dedicated to collecting data and doing all the analytics, while MongoDB feeds SFR’s front-office tools • SFR is able to deliver the 360-degree view that is helping the company optimize the customer journey Better Customer Experience coupled with IT Efficiencies • Centralized, real-time 360 degree customer view that spans many devices and data sources • Improved Data warehouse performance – Life extended up to 3X times
- 18. 18© Cloudera Sedania, All rights reserved. Financial Services Telecom Healthcare & Life Sciences Media & Technology Retail & CP Public Sector LEADING COMPANIES RUN ON CLOUDERA
- 19. 19© Cloudera Sedania, All rights reserved. Download or Deploy in the Cloud GETTING STARTED IS EASY Signup for Training Contact us or a Partner to Start a POC
- 20. 20© Cloudera Sedania, All rights reserved. Mahadzer Arshad CEO, Sedania Innovator Bhd mahadzer@sedaniainnovator.com CONTACT US
Notas del editor
- Cloudera is the leader in next generation data management. We provide the world’s fastest, easiest, and most secure enterprise grade Apache Hadoop platform to help organizations solve the most challenging business problems with data. Cloudera was founded in 2008, and we were the first company to commercialize Apache Hadoop. Doug Cutting, who co-created Hadoop is Cloudera’s Chief Architect and part of our management team. We are pretty much the market leaders when it comes to enterprise Hadoop platform and Today, Cloudera is largest contributor to the Hadoop open source community. Employees: We continue to be on a rapid growth trajectory – we have already grown to more than 1000 employees all across the globe Partnerships: We have more than 1900 partners today in our partner ecosystem - across infrastructure solutions, Business Intelligence partners, cloud vendors, independent Software vendors & system integrators. Customers: Cloudera has enterprise customers in every vertical market, including financial services, public sector, telecommunications, retail, and healthcare and technology space. Specifically, when it comes to Telecom domain, we support some of the leading Tier 1/ Tier 2 Service Providers across the globe It is one of the key verticals of focus for us and we continue to see a lot of growth and momentum in the communications domain. ------------------ In addition to being the most significant contributor to the development of the Hadoop open source software ecosystem, Cloudera has developed differentiated software like Cloudera Manager (system management), Cloudera Navigator (data management, lineage, governance, & security), Cloudera Director (cloud-based deployment) and other capabilities that augment our open source core for enterprise use.
- Where should you get started? There are many opportunities. A suggested starting point is Data Engineering to address Active Archive, ETL Offload or EDW Optimization. As you mature and lay the foundation, you could start solving analytics use cases - Self service BI, Advanced Analytics or Data science Lastly, use for developing data application or data products - Recommendation engines, algorithm development or event detection All of these are enabled by EDH
- Link to account record in SFDC (for Cloudera employees only): https://na6.salesforce.com/0018000000oqdOF?srPos=0&srKp=001 A national security organization in the US offers real-time information, warnings and guidelines that strengthen our ability to protect against cyber attacks. Background: In today’s digital world, cyber security is a serious effort. A US national security organization is tasked with identifying potentially suspicious activity across the worldwide web, and they must make that information available to 700 commercial and federal organizations. Challenge: More data lends itself to more accurate predictions, so logically the organization has been collecting massive volumes of cyber data in order to prevent cyber attacks. But their incumbent IBM Netezza environment was hitting scalability and performance limitations. Solution: The organization deployed a Cloudera Enterprise platform with Sherpasurfing, an open source cyber security solution created by Six3 Systems. Cloudera runs data processing, staging and storage; the Cloudera environment is integrated with Netezza which performs analytics. The system is also integrated with HP ArcSite, Tableau and Centrifuge. Hadoop components in use include Accumulo, Hive, Flume, MapReduce and Sqoop. This organization is growing their Cloudera cluster to 100 PB. Results: Since deploying Cloudera alongside Netezza, this organization can offer real-time information and warnings to other government organizations. They can also now show rich information on major malware outbreaks and provide guidelines to strengthen organizations’ protection against cyber attacks -- this is a net new capability that resulted from their Cloudera deployment.
- Link to account record in SFDC (for Cloudera employees only): https://na6.salesforce.com/0018000000oqdOF?srPos=0&srKp=001 A national security organization in the US offers real-time information, warnings and guidelines that strengthen our ability to protect against cyber attacks. Background: In today’s digital world, cyber security is a serious effort. A US national security organization is tasked with identifying potentially suspicious activity across the worldwide web, and they must make that information available to 700 commercial and federal organizations. Challenge: More data lends itself to more accurate predictions, so logically the organization has been collecting massive volumes of cyber data in order to prevent cyber attacks. But their incumbent IBM Netezza environment was hitting scalability and performance limitations. Solution: The organization deployed a Cloudera Enterprise platform with Sherpasurfing, an open source cyber security solution created by Six3 Systems. Cloudera runs data processing, staging and storage; the Cloudera environment is integrated with Netezza which performs analytics. The system is also integrated with HP ArcSite, Tableau and Centrifuge. Hadoop components in use include Accumulo, Hive, Flume, MapReduce and Sqoop. This organization is growing their Cloudera cluster to 100 PB. Results: Since deploying Cloudera alongside Netezza, this organization can offer real-time information and warnings to other government organizations. They can also now show rich information on major malware outbreaks and provide guidelines to strengthen organizations’ protection against cyber attacks -- this is a net new capability that resulted from their Cloudera deployment.
- Identify trends over time which can inform effective practices, help you become aware of issues, and illuminate possible innovations or solutions A study from the MIT Center for Digital Business found that organizations driven most by data-based decision making had 4% higher productivity rates and 6% higher profits. Data is a good benchmark for staff to connect their actions to business results, which will reveal new opportunities for improvement. Performance appraisals can then be based on measurable accomplishments and managers are able to see how well the whole organization is doing and where the organization’s strengths and weaknesses lie The three areas of opportunities within businesses generally are: Customer 360 - How do I understand my customers and my channel better to improve my topline? Data-driven products - How do I create better and more products to satisfy the needs of my customers? Risk - How do I make sure that the company complies to rules and regulations, protects customer and enterprise information, and minimize the risk factors?