SlideShare ist ein Scribd-Unternehmen logo
1 von 18
1© Cloudera, Inc. All rights reserved.
Using Big Data to Transform
your Customer Experience
- Panel Discussion
2© Cloudera, Inc. All rights reserved.
Survey Question #1
• What kind of customer data are you analyzing most?
•Call Center
•Clickstream data
•Customer Satisfaction
•Social Media
•Phone home data
•Transaction/Purchase Data
•Other
3© Cloudera, Inc. All rights reserved.
Opening Presenters
Mike Moreno
Sr. Partner Marketing Manager, Cloudera
Russ Cosentino
Co-founder & VP, Channels, Zoomdata
4© Cloudera, Inc. All rights reserved.
Panelists
Amr Awadallah – CTO Cloudera
Before co-founding Cloudera in 2008, Amr was an Entrepreneur-in-Residence at Accel Partners. Prior to Accel he
served as VP of Product Intelligence Engineering at Yahoo!, and ran one of the first organizations to use Hadoop for
data analysis and business intelligence.
Nick Halsey - CMO, Zoomdata
Nick Halsey is the Chief Marketing Officer of Zoomdata. Nick has over 25 years of experience in the business
intelligence market, in executive roles at Jaspersoft, Alphablox, Brio Software, and Apple.
Jeremy Kayne - Chief Technology Officer, Bidtellect
With over fifteen years of experience leading startup ventures, Jeremy oversees the success of Bidtellect’s
technology as CTO.
Nick Turner – Co Founder and CDA, Incited
Previously the Enterprise Data Architect at Markerstudy Group, Nick designed their Enterprise Data Hub for which
Markerstudy won three international awards. He is currently the cofounder and Chief Data Architect at Incited, a
leading UK-based big data analytics consultancy.
5© Cloudera, Inc. All rights reserved.
Analytic
Database
More data of all types is being
tapped for analytics, across
environments
Self-Service BI & Data
Open up new possibilities
for real-time insights as
data changes
Real-Time Analysis
BI & analytics are critical but
only tell part of the story. Get
more value by sharing data
across workloads
Converged Workloads
6© Cloudera, Inc. All rights reserved.
Why Cloudera for Customer Insights?
Acquire Customers & Increase
Retention
Reduce customer acquisition
costs and increase customer
loyalty and retention
Improve Cross-sell, Upsell,
Increase Loyalty
Use Insights to server the right
product and improve cross-sell,
upsell
Improve Customer Experience
Use Insights to server the right
product and improve cross-sell,
upsell
7© Cloudera, Inc. All rights reserved.
Self-Service BI for Customer Insights
• Self-Service Data Agility
• Self-Service Exploratory Analytics
• Cost-Effective Scalability with Users/Data
• Productively Use Existing Tools and Skills
Deep integration with:
Customer Insights - Delivers Enterprise Value
Cloud or On-PremiseCloud or On-Premise
Improve
Customer
Satisfaction
Reduce
Churn
Targeted
Campaign
CSI/NPS Data
Scores & Verbatims
Periodic Updates
Network/Log Data
Large Volumes
Real Time
Social Media
Multiple Sources
Streaming
Subscription Data
Secure
Periodic Updates
Zoomdata ServerEnterprise Data
Hub
24
365
7
Interactive
Dashboards
Big
Data
Broad Range
Of Users
● Single Version of the Truth
● Analyze customer interactions & opinions
● Identify Important Customers
● Understand What Drives Churn
9© Cloudera, Inc. All rights reserved.
Problem:
• Generating 20m/quotes per day
• Daily reports in PDF format
• Sampling limited analysis to 3% of the data
Solution:
• Launched Ratings Hub
• Interactive reports
• Access to 100% of the data
Results:
• Saved $7.5M via better fraud detection
• Reduced customer churn by 50%
DRIVE CUSTOMER
INSIGHTS
10© Cloudera, Inc. All rights reserved.
DRIVE CUSTOMER
INSIGHTS
Problem:
• Generating 10b/data points/day
• Metamarkets sampled 2 weeks of data
• Needed to support 6 months of data
Solution:
• Move from SaaS to in house
• Initial phase streams 1B datapoints/day
• 40 Node Cluster - 1 Zoomdata Server
Results:
• 70% Reduction in costs
• Access to 6 months of data
• Build dashboards in seconds
11© Cloudera, Inc. All rights reserved.
Survey Question #2
• Which customer solutions are you most interested in?
•Customer 360
•Customer Churn Analysis
•Recommendation Engine
•Customer Acquisition
•Other
12© Cloudera, Inc. All rights reserved.
Survey Question #3
• Where is most of your data to keep track of and analyze your customers?
•Hadoop or Big Data
•SaaS Solutions
•CRM
•RDBMS, Data Warehouse
•Unstructured, NoSQL
13© Cloudera, Inc. All rights reserved.
Panel in Session-Post Your Questions
Get more information at
www.cloudera.com/solutions
Contact us for a demo Register for next webinar
Feb 1st
EMAIL US TODAY
C360@zoomdata.com
14© Cloudera, Inc. All rights reserved.
Thank you
15© Cloudera, Inc. All rights reserved.
Cloudera Enterprise
Making Hadoop Fast, Easy, and Secure
A new kind of data platform
• One place for unlimited data
• Unified, multi-framework
data access
Cloudera makes it
• Fast for business
• Easy to manage
• Secure without compromise
OPERATIONS
DATA
MANAGEMENT
STRUCTURED UNSTRUCTURED
PROCESS, ANALYZE, SERVE
UNIFIED SERVICES
RESOURCE MANAGEMENT SECURITY
FILESYSTEM RELATIONAL NoSQL
STORE
INTEGRATE
BATCH STREAM SQL SEARCH SDK
Public Cloud
Private Cloud
Hybrid Environments
Hybrid Deployment
Flexibility
16© Cloudera, Inc. All rights reserved.
Drive Customer Insights: Experience Expectations
Relevant
in the moment to
customer’s needs
and expectations
Consistent
across all channels,
brands, and devices
Contextualized
to present location
and circumstances
Personalized
to reflect preferences
and aspirations
17© Cloudera, Inc. All rights reserved.
Business Impact of Inefficient Products & Services
Profits
Higher profit margins from
efficient processes
Marketshare
Increased marketshare &
faster time to market
Loyalty
Improved Customer and
employee loyalty
Relevancy
Offerings meeting
customer expectations
18© Cloudera, Inc. All rights reserved.
Cloudera’s Analytic Database Solution
Identify, offload, &
optimize workloads to
Hadoop
Navigator
Optimizer
Intelligent SQL editor
Hue
Audit, lineage,
encryption, key
management, & policy
lifecycles
Navigator
Integration with the
leading BI tools
BI Partners
Interactive query engine
for BI & SQL analytics
Impala
Large-scale ETL & batch
processing engine
Hive-on-
Spark
Multi-Storage, Multi-Environment

Weitere ähnliche Inhalte

Was ist angesagt?

Protecting health and life science organizations from breaches and ransomware
Protecting health and life science organizations from breaches and ransomwareProtecting health and life science organizations from breaches and ransomware
Protecting health and life science organizations from breaches and ransomwareCloudera, Inc.
 
Moving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache KuduMoving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache KuduCloudera, Inc.
 
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...Cloudera, Inc.
 
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
 
High-Performance Analytics in the Cloud with Apache Impala
High-Performance Analytics in the Cloud with Apache ImpalaHigh-Performance Analytics in the Cloud with Apache Impala
High-Performance Analytics in the Cloud with Apache ImpalaCloudera, Inc.
 
Preparing for the Cybersecurity Renaissance
Preparing for the Cybersecurity RenaissancePreparing for the Cybersecurity Renaissance
Preparing for the Cybersecurity RenaissanceCloudera, Inc.
 
Optimizing Regulatory Compliance with Big Data
Optimizing Regulatory Compliance with Big DataOptimizing Regulatory Compliance with Big Data
Optimizing Regulatory Compliance with Big DataCloudera, Inc.
 
Transforming Insurance Analytics with Big Data and Automated Machine Learning

Transforming Insurance Analytics with Big Data and Automated Machine Learning
Transforming Insurance Analytics with Big Data and Automated Machine Learning

Transforming Insurance Analytics with Big Data and Automated Machine Learning
Cloudera, Inc.
 
Cloudera Altus: Big Data in der Cloud einfach gemacht
Cloudera Altus: Big Data in der Cloud einfach gemachtCloudera Altus: Big Data in der Cloud einfach gemacht
Cloudera Altus: Big Data in der Cloud einfach gemachtCloudera, Inc.
 
The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)Cloudera, Inc.
 
Engaging with Cloudera & Morning Wrap Up
Engaging with Cloudera & Morning Wrap UpEngaging with Cloudera & Morning Wrap Up
Engaging with Cloudera & Morning Wrap UpCloudera, Inc.
 
Data Drive Applications_Webinar
Data Drive Applications_WebinarData Drive Applications_Webinar
Data Drive Applications_WebinarSean Spediacci
 
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
 
Introducing Workload XM 8.7.18
Introducing Workload XM 8.7.18Introducing Workload XM 8.7.18
Introducing Workload XM 8.7.18Cloudera, Inc.
 
Delivering improved patient outcomes through advanced analytics 6.26.18
Delivering improved patient outcomes through advanced analytics 6.26.18Delivering improved patient outcomes through advanced analytics 6.26.18
Delivering improved patient outcomes through advanced analytics 6.26.18Cloudera, Inc.
 
How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformHow to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
 
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...Cloudera, Inc.
 

Was ist angesagt? (20)

Protecting health and life science organizations from breaches and ransomware
Protecting health and life science organizations from breaches and ransomwareProtecting health and life science organizations from breaches and ransomware
Protecting health and life science organizations from breaches and ransomware
 
Moving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache KuduMoving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache Kudu
 
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...
 
Top 5 IoT Use Cases
Top 5 IoT Use CasesTop 5 IoT Use Cases
Top 5 IoT Use Cases
 
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18
 
Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8Building a Modern Analytic Database with Cloudera 5.8
Building a Modern Analytic Database with Cloudera 5.8
 
High-Performance Analytics in the Cloud with Apache Impala
High-Performance Analytics in the Cloud with Apache ImpalaHigh-Performance Analytics in the Cloud with Apache Impala
High-Performance Analytics in the Cloud with Apache Impala
 
Preparing for the Cybersecurity Renaissance
Preparing for the Cybersecurity RenaissancePreparing for the Cybersecurity Renaissance
Preparing for the Cybersecurity Renaissance
 
Optimizing Regulatory Compliance with Big Data
Optimizing Regulatory Compliance with Big DataOptimizing Regulatory Compliance with Big Data
Optimizing Regulatory Compliance with Big Data
 
Big Data Fundamentals
Big Data FundamentalsBig Data Fundamentals
Big Data Fundamentals
 
Transforming Insurance Analytics with Big Data and Automated Machine Learning

Transforming Insurance Analytics with Big Data and Automated Machine Learning
Transforming Insurance Analytics with Big Data and Automated Machine Learning

Transforming Insurance Analytics with Big Data and Automated Machine Learning

 
Cloudera Altus: Big Data in der Cloud einfach gemacht
Cloudera Altus: Big Data in der Cloud einfach gemachtCloudera Altus: Big Data in der Cloud einfach gemacht
Cloudera Altus: Big Data in der Cloud einfach gemacht
 
The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)The Transformation of your Data in modern IT (Presented by DellEMC)
The Transformation of your Data in modern IT (Presented by DellEMC)
 
Engaging with Cloudera & Morning Wrap Up
Engaging with Cloudera & Morning Wrap UpEngaging with Cloudera & Morning Wrap Up
Engaging with Cloudera & Morning Wrap Up
 
Data Drive Applications_Webinar
Data Drive Applications_WebinarData Drive Applications_Webinar
Data Drive Applications_Webinar
 
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists
 
Introducing Workload XM 8.7.18
Introducing Workload XM 8.7.18Introducing Workload XM 8.7.18
Introducing Workload XM 8.7.18
 
Delivering improved patient outcomes through advanced analytics 6.26.18
Delivering improved patient outcomes through advanced analytics 6.26.18Delivering improved patient outcomes through advanced analytics 6.26.18
Delivering improved patient outcomes through advanced analytics 6.26.18
 
How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformHow to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
How to Build Multi-disciplinary Analytics Applications on a Shared Data Platform
 
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...
 

Andere mochten auch

Partner Ecosystem Showcase for Apache Ranger and Apache Atlas
Partner Ecosystem Showcase for Apache Ranger and Apache AtlasPartner Ecosystem Showcase for Apache Ranger and Apache Atlas
Partner Ecosystem Showcase for Apache Ranger and Apache AtlasDataWorks Summit
 
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...Cloudera, Inc.
 
Building the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time AnalyticsBuilding the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time AnalyticsSingleStore
 
The Fast Path to Building Operational Applications with Spark
The Fast Path to Building Operational Applications with SparkThe Fast Path to Building Operational Applications with Spark
The Fast Path to Building Operational Applications with SparkSingleStore
 
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineSpark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineData Con LA
 
Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...
Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...
Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...confluent
 
Put Alternative Data to Use in Capital Markets

Put Alternative Data to Use in Capital Markets
Put Alternative Data to Use in Capital Markets

Put Alternative Data to Use in Capital Markets
Cloudera, Inc.
 
Cloudera and Qlik: Big Data Analytics for Business
Cloudera and Qlik: Big Data Analytics for BusinessCloudera and Qlik: Big Data Analytics for Business
Cloudera and Qlik: Big Data Analytics for BusinessData IQ Argentina
 
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...Spark Summit
 
빅데이터윈윈 컨퍼런스_데이터시각화자료
빅데이터윈윈 컨퍼런스_데이터시각화자료빅데이터윈윈 컨퍼런스_데이터시각화자료
빅데이터윈윈 컨퍼런스_데이터시각화자료ABRC_DATA
 
Security implementation on hadoop
Security implementation on hadoopSecurity implementation on hadoop
Security implementation on hadoopWei-Chiu Chuang
 
Spark meetup - Zoomdata Streaming
Spark meetup  - Zoomdata StreamingSpark meetup  - Zoomdata Streaming
Spark meetup - Zoomdata StreamingZoomdata
 
CWIN17 Frankfurt / Cloudera
CWIN17 Frankfurt / ClouderaCWIN17 Frankfurt / Cloudera
CWIN17 Frankfurt / ClouderaCapgemini
 
The Evolution of Data Architecture
The Evolution of Data ArchitectureThe Evolution of Data Architecture
The Evolution of Data ArchitectureWei-Chiu Chuang
 
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...Spark Summit
 
Benefits of Transferring Real-Time Data to Hadoop at Scale
Benefits of Transferring Real-Time Data to Hadoop at ScaleBenefits of Transferring Real-Time Data to Hadoop at Scale
Benefits of Transferring Real-Time Data to Hadoop at ScaleHortonworks
 

Andere mochten auch (20)

Partner Ecosystem Showcase for Apache Ranger and Apache Atlas
Partner Ecosystem Showcase for Apache Ranger and Apache AtlasPartner Ecosystem Showcase for Apache Ranger and Apache Atlas
Partner Ecosystem Showcase for Apache Ranger and Apache Atlas
 
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...
 
Building the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time AnalyticsBuilding the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time Analytics
 
The Fast Path to Building Operational Applications with Spark
The Fast Path to Building Operational Applications with SparkThe Fast Path to Building Operational Applications with Spark
The Fast Path to Building Operational Applications with Spark
 
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineSpark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine
 
Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...
Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...
Real-Time Analytics Visualized w/ Kafka + Streamliner + MemSQL + ZoomData, An...
 
Softnix Security Data Lake
Softnix Security Data Lake Softnix Security Data Lake
Softnix Security Data Lake
 
Put Alternative Data to Use in Capital Markets

Put Alternative Data to Use in Capital Markets
Put Alternative Data to Use in Capital Markets

Put Alternative Data to Use in Capital Markets

 
Cloudera and Qlik: Big Data Analytics for Business
Cloudera and Qlik: Big Data Analytics for BusinessCloudera and Qlik: Big Data Analytics for Business
Cloudera and Qlik: Big Data Analytics for Business
 
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...
 
빅데이터윈윈 컨퍼런스_데이터시각화자료
빅데이터윈윈 컨퍼런스_데이터시각화자료빅데이터윈윈 컨퍼런스_데이터시각화자료
빅데이터윈윈 컨퍼런스_데이터시각화자료
 
Softnix Messaging Server
Softnix Messaging ServerSoftnix Messaging Server
Softnix Messaging Server
 
Security implementation on hadoop
Security implementation on hadoopSecurity implementation on hadoop
Security implementation on hadoop
 
Spark meetup - Zoomdata Streaming
Spark meetup  - Zoomdata StreamingSpark meetup  - Zoomdata Streaming
Spark meetup - Zoomdata Streaming
 
CWIN17 Frankfurt / Cloudera
CWIN17 Frankfurt / ClouderaCWIN17 Frankfurt / Cloudera
CWIN17 Frankfurt / Cloudera
 
Zoomdata
ZoomdataZoomdata
Zoomdata
 
The Evolution of Data Architecture
The Evolution of Data ArchitectureThe Evolution of Data Architecture
The Evolution of Data Architecture
 
Ibm watson
Ibm watsonIbm watson
Ibm watson
 
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...
 
Benefits of Transferring Real-Time Data to Hadoop at Scale
Benefits of Transferring Real-Time Data to Hadoop at ScaleBenefits of Transferring Real-Time Data to Hadoop at Scale
Benefits of Transferring Real-Time Data to Hadoop at Scale
 

Ähnlich wie Using Big Data to Transform Your Customer’s Experience - Part 1


How Big Data Can Help Marketers Improve Customer Relationships
How Big Data Can Help Marketers Improve Customer RelationshipsHow Big Data Can Help Marketers Improve Customer Relationships
How Big Data Can Help Marketers Improve Customer RelationshipsCloudera, Inc.
 
Using Big Data to Drive Customer 360
Using Big Data to Drive Customer 360Using Big Data to Drive Customer 360
Using Big Data to Drive Customer 360Cloudera, Inc.
 
151116 Sedania Cloudera BDA Profile
151116 Sedania Cloudera BDA Profile151116 Sedania Cloudera BDA Profile
151116 Sedania Cloudera BDA ProfileZarul Zaabah
 
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%Cloudera, Inc.
 
The Journey to Success with Big Data
The Journey to Success with Big DataThe Journey to Success with Big Data
The Journey to Success with Big DataCloudera, Inc.
 
The role of Big Data and Modern Data Management in Driving a Customer 360 fro...
The role of Big Data and Modern Data Management in Driving a Customer 360 fro...The role of Big Data and Modern Data Management in Driving a Customer 360 fro...
The role of Big Data and Modern Data Management in Driving a Customer 360 fro...Cloudera, Inc.
 
Big Data as Competitive Advantage in Financial Services
Big Data as Competitive Advantage in Financial ServicesBig Data as Competitive Advantage in Financial Services
Big Data as Competitive Advantage in Financial ServicesCloudera, Inc.
 
Understanding Customer Buying Journey with Big Data
Understanding Customer Buying Journey with Big DataUnderstanding Customer Buying Journey with Big Data
Understanding Customer Buying Journey with Big DataAnalyticsWeek
 
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB
 
Come fare business con i big data in concreto
Come fare business con i big data in concretoCome fare business con i big data in concreto
Come fare business con i big data in concretoHP Enterprise Italia
 
Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic IntelAPAC
 
The 5 Biggest Data Myths in Telco: Exposed
The 5 Biggest Data Myths in Telco: ExposedThe 5 Biggest Data Myths in Telco: Exposed
The 5 Biggest Data Myths in Telco: ExposedCloudera, Inc.
 
Machine Learning Loves Hadoop
Machine Learning Loves HadoopMachine Learning Loves Hadoop
Machine Learning Loves HadoopCloudera, Inc.
 
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondStanding Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondCloudera, Inc.
 
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
 
Making Self-Service BI a Reality in the Enterprise
Making Self-Service BI a Reality in the EnterpriseMaking Self-Service BI a Reality in the Enterprise
Making Self-Service BI a Reality in the EnterpriseCloudera, Inc.
 
Hadoop and Manufacturing
Hadoop and ManufacturingHadoop and Manufacturing
Hadoop and ManufacturingCloudera, Inc.
 
Seeking Cybersecurity--Strategies to Protect the Data
Seeking Cybersecurity--Strategies to Protect the DataSeeking Cybersecurity--Strategies to Protect the Data
Seeking Cybersecurity--Strategies to Protect the DataCloudera, Inc.
 
Data-driven marketing - expert panel
Data-driven marketing - expert panelData-driven marketing - expert panel
Data-driven marketing - expert panelCloudera, Inc.
 
Becoming Data-Driven Through Cultural Change
Becoming Data-Driven Through Cultural ChangeBecoming Data-Driven Through Cultural Change
Becoming Data-Driven Through Cultural ChangeCloudera, Inc.
 

Ähnlich wie Using Big Data to Transform Your Customer’s Experience - Part 1
 (20)

How Big Data Can Help Marketers Improve Customer Relationships
How Big Data Can Help Marketers Improve Customer RelationshipsHow Big Data Can Help Marketers Improve Customer Relationships
How Big Data Can Help Marketers Improve Customer Relationships
 
Using Big Data to Drive Customer 360
Using Big Data to Drive Customer 360Using Big Data to Drive Customer 360
Using Big Data to Drive Customer 360
 
151116 Sedania Cloudera BDA Profile
151116 Sedania Cloudera BDA Profile151116 Sedania Cloudera BDA Profile
151116 Sedania Cloudera BDA Profile
 
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%
Kelley Blue Book Uses Big Data to Increase User Engagement Over 100%
 
The Journey to Success with Big Data
The Journey to Success with Big DataThe Journey to Success with Big Data
The Journey to Success with Big Data
 
The role of Big Data and Modern Data Management in Driving a Customer 360 fro...
The role of Big Data and Modern Data Management in Driving a Customer 360 fro...The role of Big Data and Modern Data Management in Driving a Customer 360 fro...
The role of Big Data and Modern Data Management in Driving a Customer 360 fro...
 
Big Data as Competitive Advantage in Financial Services
Big Data as Competitive Advantage in Financial ServicesBig Data as Competitive Advantage in Financial Services
Big Data as Competitive Advantage in Financial Services
 
Understanding Customer Buying Journey with Big Data
Understanding Customer Buying Journey with Big DataUnderstanding Customer Buying Journey with Big Data
Understanding Customer Buying Journey with Big Data
 
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, Cloudera
 
Come fare business con i big data in concreto
Come fare business con i big data in concretoCome fare business con i big data in concreto
Come fare business con i big data in concreto
 
Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic Gab Genai Cloudera - Going Beyond Traditional Analytic
Gab Genai Cloudera - Going Beyond Traditional Analytic
 
The 5 Biggest Data Myths in Telco: Exposed
The 5 Biggest Data Myths in Telco: ExposedThe 5 Biggest Data Myths in Telco: Exposed
The 5 Biggest Data Myths in Telco: Exposed
 
Machine Learning Loves Hadoop
Machine Learning Loves HadoopMachine Learning Loves Hadoop
Machine Learning Loves Hadoop
 
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondStanding Up an Effective Enterprise Data Hub -- Technology and Beyond
Standing Up an Effective Enterprise Data Hub -- Technology and Beyond
 
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
 
Making Self-Service BI a Reality in the Enterprise
Making Self-Service BI a Reality in the EnterpriseMaking Self-Service BI a Reality in the Enterprise
Making Self-Service BI a Reality in the Enterprise
 
Hadoop and Manufacturing
Hadoop and ManufacturingHadoop and Manufacturing
Hadoop and Manufacturing
 
Seeking Cybersecurity--Strategies to Protect the Data
Seeking Cybersecurity--Strategies to Protect the DataSeeking Cybersecurity--Strategies to Protect the Data
Seeking Cybersecurity--Strategies to Protect the Data
 
Data-driven marketing - expert panel
Data-driven marketing - expert panelData-driven marketing - expert panel
Data-driven marketing - expert panel
 
Becoming Data-Driven Through Cultural Change
Becoming Data-Driven Through Cultural ChangeBecoming Data-Driven Through Cultural Change
Becoming Data-Driven Through Cultural Change
 

Mehr von Cloudera, Inc.

Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxPartner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxCloudera, Inc.
 
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
 
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Cloudera, Inc.
 
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
 
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
 
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
 
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
 
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
 
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
 
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Cloudera, Inc.
 
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Cloudera, Inc.
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
 
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
 
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
 
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
 
Get started with Cloudera's cyber solution
Get started with Cloudera's cyber solutionGet started with Cloudera's cyber solution
Get started with Cloudera's cyber solutionCloudera, Inc.
 
Spark and Deep Learning Frameworks at Scale 7.19.18
Spark and Deep Learning Frameworks at Scale 7.19.18Spark and Deep Learning Frameworks at Scale 7.19.18
Spark and Deep Learning Frameworks at Scale 7.19.18Cloudera, Inc.
 

Mehr von Cloudera, Inc. (20)

Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptxPartner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptx
 
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists
 
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019
 
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19
 
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19
 
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19
 
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
 
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19
 
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
 
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18
 
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3
 
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2
 
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1
 
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the PlatformExtending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
 
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18
 
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360
 
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18
 
Cloudera SDX
Cloudera SDXCloudera SDX
Cloudera SDX
 
Get started with Cloudera's cyber solution
Get started with Cloudera's cyber solutionGet started with Cloudera's cyber solution
Get started with Cloudera's cyber solution
 
Spark and Deep Learning Frameworks at Scale 7.19.18
Spark and Deep Learning Frameworks at Scale 7.19.18Spark and Deep Learning Frameworks at Scale 7.19.18
Spark and Deep Learning Frameworks at Scale 7.19.18
 

Kürzlich hochgeladen

Cloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEECloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEEVICTOR MAESTRE RAMIREZ
 
Software Coding for software engineering
Software Coding for software engineeringSoftware Coding for software engineering
Software Coding for software engineeringssuserb3a23b
 
Precise and Complete Requirements? An Elusive Goal
Precise and Complete Requirements? An Elusive GoalPrecise and Complete Requirements? An Elusive Goal
Precise and Complete Requirements? An Elusive GoalLionel Briand
 
What is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWhat is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWave PLM
 
MYjobs Presentation Django-based project
MYjobs Presentation Django-based projectMYjobs Presentation Django-based project
MYjobs Presentation Django-based projectAnoyGreter
 
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...confluent
 
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...Angel Borroy López
 
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样umasea
 
Ahmed Motair CV April 2024 (Senior SW Developer)
Ahmed Motair CV April 2024 (Senior SW Developer)Ahmed Motair CV April 2024 (Senior SW Developer)
Ahmed Motair CV April 2024 (Senior SW Developer)Ahmed Mater
 
Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...Velvetech LLC
 
How to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationHow to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationBradBedford3
 
Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...
Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...
Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...Natan Silnitsky
 
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...OnePlan Solutions
 
React Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaReact Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaHanief Utama
 
cpct NetworkING BASICS AND NETWORK TOOL.ppt
cpct NetworkING BASICS AND NETWORK TOOL.pptcpct NetworkING BASICS AND NETWORK TOOL.ppt
cpct NetworkING BASICS AND NETWORK TOOL.pptrcbcrtm
 
What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...Technogeeks
 
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving CarsSensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving CarsChristian Birchler
 
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024StefanoLambiase
 
PREDICTING RIVER WATER QUALITY ppt presentation
PREDICTING  RIVER  WATER QUALITY  ppt presentationPREDICTING  RIVER  WATER QUALITY  ppt presentation
PREDICTING RIVER WATER QUALITY ppt presentationvaddepallysandeep122
 
Sending Calendar Invites on SES and Calendarsnack.pdf
Sending Calendar Invites on SES and Calendarsnack.pdfSending Calendar Invites on SES and Calendarsnack.pdf
Sending Calendar Invites on SES and Calendarsnack.pdf31events.com
 

Kürzlich hochgeladen (20)

Cloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEECloud Data Center Network Construction - IEEE
Cloud Data Center Network Construction - IEEE
 
Software Coding for software engineering
Software Coding for software engineeringSoftware Coding for software engineering
Software Coding for software engineering
 
Precise and Complete Requirements? An Elusive Goal
Precise and Complete Requirements? An Elusive GoalPrecise and Complete Requirements? An Elusive Goal
Precise and Complete Requirements? An Elusive Goal
 
What is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWhat is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need It
 
MYjobs Presentation Django-based project
MYjobs Presentation Django-based projectMYjobs Presentation Django-based project
MYjobs Presentation Django-based project
 
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...
 
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
 
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
 
Ahmed Motair CV April 2024 (Senior SW Developer)
Ahmed Motair CV April 2024 (Senior SW Developer)Ahmed Motair CV April 2024 (Senior SW Developer)
Ahmed Motair CV April 2024 (Senior SW Developer)
 
Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...
 
How to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationHow to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion Application
 
Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...
Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...
Taming Distributed Systems: Key Insights from Wix's Large-Scale Experience - ...
 
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
 
React Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief UtamaReact Server Component in Next.js by Hanief Utama
React Server Component in Next.js by Hanief Utama
 
cpct NetworkING BASICS AND NETWORK TOOL.ppt
cpct NetworkING BASICS AND NETWORK TOOL.pptcpct NetworkING BASICS AND NETWORK TOOL.ppt
cpct NetworkING BASICS AND NETWORK TOOL.ppt
 
What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...What is Advanced Excel and what are some best practices for designing and cre...
What is Advanced Excel and what are some best practices for designing and cre...
 
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving CarsSensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
 
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
 
PREDICTING RIVER WATER QUALITY ppt presentation
PREDICTING  RIVER  WATER QUALITY  ppt presentationPREDICTING  RIVER  WATER QUALITY  ppt presentation
PREDICTING RIVER WATER QUALITY ppt presentation
 
Sending Calendar Invites on SES and Calendarsnack.pdf
Sending Calendar Invites on SES and Calendarsnack.pdfSending Calendar Invites on SES and Calendarsnack.pdf
Sending Calendar Invites on SES and Calendarsnack.pdf
 

Using Big Data to Transform Your Customer’s Experience - Part 1


  • 1. 1© Cloudera, Inc. All rights reserved. Using Big Data to Transform your Customer Experience - Panel Discussion
  • 2. 2© Cloudera, Inc. All rights reserved. Survey Question #1 • What kind of customer data are you analyzing most? •Call Center •Clickstream data •Customer Satisfaction •Social Media •Phone home data •Transaction/Purchase Data •Other
  • 3. 3© Cloudera, Inc. All rights reserved. Opening Presenters Mike Moreno Sr. Partner Marketing Manager, Cloudera Russ Cosentino Co-founder & VP, Channels, Zoomdata
  • 4. 4© Cloudera, Inc. All rights reserved. Panelists Amr Awadallah – CTO Cloudera Before co-founding Cloudera in 2008, Amr was an Entrepreneur-in-Residence at Accel Partners. Prior to Accel he served as VP of Product Intelligence Engineering at Yahoo!, and ran one of the first organizations to use Hadoop for data analysis and business intelligence. Nick Halsey - CMO, Zoomdata Nick Halsey is the Chief Marketing Officer of Zoomdata. Nick has over 25 years of experience in the business intelligence market, in executive roles at Jaspersoft, Alphablox, Brio Software, and Apple. Jeremy Kayne - Chief Technology Officer, Bidtellect With over fifteen years of experience leading startup ventures, Jeremy oversees the success of Bidtellect’s technology as CTO. Nick Turner – Co Founder and CDA, Incited Previously the Enterprise Data Architect at Markerstudy Group, Nick designed their Enterprise Data Hub for which Markerstudy won three international awards. He is currently the cofounder and Chief Data Architect at Incited, a leading UK-based big data analytics consultancy.
  • 5. 5© Cloudera, Inc. All rights reserved. Analytic Database More data of all types is being tapped for analytics, across environments Self-Service BI & Data Open up new possibilities for real-time insights as data changes Real-Time Analysis BI & analytics are critical but only tell part of the story. Get more value by sharing data across workloads Converged Workloads
  • 6. 6© Cloudera, Inc. All rights reserved. Why Cloudera for Customer Insights? Acquire Customers & Increase Retention Reduce customer acquisition costs and increase customer loyalty and retention Improve Cross-sell, Upsell, Increase Loyalty Use Insights to server the right product and improve cross-sell, upsell Improve Customer Experience Use Insights to server the right product and improve cross-sell, upsell
  • 7. 7© Cloudera, Inc. All rights reserved. Self-Service BI for Customer Insights • Self-Service Data Agility • Self-Service Exploratory Analytics • Cost-Effective Scalability with Users/Data • Productively Use Existing Tools and Skills Deep integration with:
  • 8. Customer Insights - Delivers Enterprise Value Cloud or On-PremiseCloud or On-Premise Improve Customer Satisfaction Reduce Churn Targeted Campaign CSI/NPS Data Scores & Verbatims Periodic Updates Network/Log Data Large Volumes Real Time Social Media Multiple Sources Streaming Subscription Data Secure Periodic Updates Zoomdata ServerEnterprise Data Hub 24 365 7 Interactive Dashboards Big Data Broad Range Of Users ● Single Version of the Truth ● Analyze customer interactions & opinions ● Identify Important Customers ● Understand What Drives Churn
  • 9. 9© Cloudera, Inc. All rights reserved. Problem: • Generating 20m/quotes per day • Daily reports in PDF format • Sampling limited analysis to 3% of the data Solution: • Launched Ratings Hub • Interactive reports • Access to 100% of the data Results: • Saved $7.5M via better fraud detection • Reduced customer churn by 50% DRIVE CUSTOMER INSIGHTS
  • 10. 10© Cloudera, Inc. All rights reserved. DRIVE CUSTOMER INSIGHTS Problem: • Generating 10b/data points/day • Metamarkets sampled 2 weeks of data • Needed to support 6 months of data Solution: • Move from SaaS to in house • Initial phase streams 1B datapoints/day • 40 Node Cluster - 1 Zoomdata Server Results: • 70% Reduction in costs • Access to 6 months of data • Build dashboards in seconds
  • 11. 11© Cloudera, Inc. All rights reserved. Survey Question #2 • Which customer solutions are you most interested in? •Customer 360 •Customer Churn Analysis •Recommendation Engine •Customer Acquisition •Other
  • 12. 12© Cloudera, Inc. All rights reserved. Survey Question #3 • Where is most of your data to keep track of and analyze your customers? •Hadoop or Big Data •SaaS Solutions •CRM •RDBMS, Data Warehouse •Unstructured, NoSQL
  • 13. 13© Cloudera, Inc. All rights reserved. Panel in Session-Post Your Questions Get more information at www.cloudera.com/solutions Contact us for a demo Register for next webinar Feb 1st EMAIL US TODAY C360@zoomdata.com
  • 14. 14© Cloudera, Inc. All rights reserved. Thank you
  • 15. 15© Cloudera, Inc. All rights reserved. Cloudera Enterprise Making Hadoop Fast, Easy, and Secure A new kind of data platform • One place for unlimited data • Unified, multi-framework data access Cloudera makes it • Fast for business • Easy to manage • Secure without compromise OPERATIONS DATA MANAGEMENT STRUCTURED UNSTRUCTURED PROCESS, ANALYZE, SERVE UNIFIED SERVICES RESOURCE MANAGEMENT SECURITY FILESYSTEM RELATIONAL NoSQL STORE INTEGRATE BATCH STREAM SQL SEARCH SDK Public Cloud Private Cloud Hybrid Environments Hybrid Deployment Flexibility
  • 16. 16© Cloudera, Inc. All rights reserved. Drive Customer Insights: Experience Expectations Relevant in the moment to customer’s needs and expectations Consistent across all channels, brands, and devices Contextualized to present location and circumstances Personalized to reflect preferences and aspirations
  • 17. 17© Cloudera, Inc. All rights reserved. Business Impact of Inefficient Products & Services Profits Higher profit margins from efficient processes Marketshare Increased marketshare & faster time to market Loyalty Improved Customer and employee loyalty Relevancy Offerings meeting customer expectations
  • 18. 18© Cloudera, Inc. All rights reserved. Cloudera’s Analytic Database Solution Identify, offload, & optimize workloads to Hadoop Navigator Optimizer Intelligent SQL editor Hue Audit, lineage, encryption, key management, & policy lifecycles Navigator Integration with the leading BI tools BI Partners Interactive query engine for BI & SQL analytics Impala Large-scale ETL & batch processing engine Hive-on- Spark Multi-Storage, Multi-Environment