Suche senden
Hochladen
Building new business models through big data dec 06 2012
•
3 gefällt mir
•
2,341 views
Aki Balogh
Folgen
Melden
Teilen
Melden
Teilen
1 von 30
Jetzt herunterladen
Downloaden Sie, um offline zu lesen
Empfohlen
Data Monetization: Leveraging Subscriber Data to Create New Opportunities
Data Monetization: Leveraging Subscriber Data to Create New Opportunities
Cartesian (formerly CSMG)
Monetize Big Data
Monetize Big Data
Hewlett Packard Enterprise Business Value Exchange
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0
Srini Alavala
Big Data: Real-life Examples of Business Value Generation
Big Data: Real-life Examples of Business Value Generation
Capgemini
Data Monetization– Mine data & Track Telecom customer behavior
Data Monetization– Mine data & Track Telecom customer behavior
Mahindra Comviva
Data monetization pov
Data monetization pov
Radhakrishnan R (RK)
Data monetization webinar
Data monetization webinar
Karan Sachdeva
Big Data in Financial Services: How to Improve Performance with Data-Driven D...
Big Data in Financial Services: How to Improve Performance with Data-Driven D...
Perficient, Inc.
Empfohlen
Data Monetization: Leveraging Subscriber Data to Create New Opportunities
Data Monetization: Leveraging Subscriber Data to Create New Opportunities
Cartesian (formerly CSMG)
Monetize Big Data
Monetize Big Data
Hewlett Packard Enterprise Business Value Exchange
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0
Srini Alavala
Big Data: Real-life Examples of Business Value Generation
Big Data: Real-life Examples of Business Value Generation
Capgemini
Data Monetization– Mine data & Track Telecom customer behavior
Data Monetization– Mine data & Track Telecom customer behavior
Mahindra Comviva
Data monetization pov
Data monetization pov
Radhakrishnan R (RK)
Data monetization webinar
Data monetization webinar
Karan Sachdeva
Big Data in Financial Services: How to Improve Performance with Data-Driven D...
Big Data in Financial Services: How to Improve Performance with Data-Driven D...
Perficient, Inc.
More Personalized Banking Through Big Data and Analytics
More Personalized Banking Through Big Data and Analytics
SAP Analytics
Big Data in Financial Services
Big Data in Financial Services
Eikos Partners
Data Monetization Framework
Data Monetization Framework
Arvind Radhakrishnen
Lead to Cash: The Value of Big Data and Analytics for Telco
Lead to Cash: The Value of Big Data and Analytics for Telco
Sam Thomsett
Big Data Analytics for Banking, a Point of View
Big Data Analytics for Banking, a Point of View
Pietro Leo
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
Skillspeed
Srini Data Monetization
Srini Data Monetization
Srini Alavala
Top Data Analytics Trends for 2019
Top Data Analytics Trends for 2019
PromptCloud
201407 Global Insights and Actions for Banks in the Digital Age - Eyes Wide Shut
201407 Global Insights and Actions for Banks in the Digital Age - Eyes Wide Shut
Francisco Calzado
Leveraging Big Data to Drive Bank Customer Engagement and Loyalty
Leveraging Big Data to Drive Bank Customer Engagement and Loyalty
Jim Marous
Big-Data-The-Case-for-Customer-Experience
Big-Data-The-Case-for-Customer-Experience
Andrew Smith
Big Data & Analytics perspectives in Banking
Big Data & Analytics perspectives in Banking
Gianpaolo Zampol
Data monetization shailesh d ubey
Data monetization shailesh d ubey
Shailesh Dubey
How to reach a Data Driven culture
How to reach a Data Driven culture
Mark Beekman
The digital transformation of retail
The digital transformation of retail
Cloudera, Inc.
Cognizant Analytics for Banking & Financial Services Firms
Cognizant Analytics for Banking & Financial Services Firms
Cognizant
The Journey to Big Data Analytics
The Journey to Big Data Analytics
Dr.Stefan Radtke
TechConnex Big Data Series - Big Data in Banking
TechConnex Big Data Series - Big Data in Banking
Andre Langevin
Dubai Big Data in Finance, Intro to Hadoop 2-Apr-14 - Michael Segel
Dubai Big Data in Finance, Intro to Hadoop 2-Apr-14 - Michael Segel
Michael Segel
Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry
Capgemini
Complex Models for Big Data
Complex Models for Big Data
Data Science Research Center
Data Science Highlights
Data Science Highlights
Joe Lamantia
Weitere ähnliche Inhalte
Was ist angesagt?
More Personalized Banking Through Big Data and Analytics
More Personalized Banking Through Big Data and Analytics
SAP Analytics
Big Data in Financial Services
Big Data in Financial Services
Eikos Partners
Data Monetization Framework
Data Monetization Framework
Arvind Radhakrishnen
Lead to Cash: The Value of Big Data and Analytics for Telco
Lead to Cash: The Value of Big Data and Analytics for Telco
Sam Thomsett
Big Data Analytics for Banking, a Point of View
Big Data Analytics for Banking, a Point of View
Pietro Leo
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
Skillspeed
Srini Data Monetization
Srini Data Monetization
Srini Alavala
Top Data Analytics Trends for 2019
Top Data Analytics Trends for 2019
PromptCloud
201407 Global Insights and Actions for Banks in the Digital Age - Eyes Wide Shut
201407 Global Insights and Actions for Banks in the Digital Age - Eyes Wide Shut
Francisco Calzado
Leveraging Big Data to Drive Bank Customer Engagement and Loyalty
Leveraging Big Data to Drive Bank Customer Engagement and Loyalty
Jim Marous
Big-Data-The-Case-for-Customer-Experience
Big-Data-The-Case-for-Customer-Experience
Andrew Smith
Big Data & Analytics perspectives in Banking
Big Data & Analytics perspectives in Banking
Gianpaolo Zampol
Data monetization shailesh d ubey
Data monetization shailesh d ubey
Shailesh Dubey
How to reach a Data Driven culture
How to reach a Data Driven culture
Mark Beekman
The digital transformation of retail
The digital transformation of retail
Cloudera, Inc.
Cognizant Analytics for Banking & Financial Services Firms
Cognizant Analytics for Banking & Financial Services Firms
Cognizant
The Journey to Big Data Analytics
The Journey to Big Data Analytics
Dr.Stefan Radtke
TechConnex Big Data Series - Big Data in Banking
TechConnex Big Data Series - Big Data in Banking
Andre Langevin
Dubai Big Data in Finance, Intro to Hadoop 2-Apr-14 - Michael Segel
Dubai Big Data in Finance, Intro to Hadoop 2-Apr-14 - Michael Segel
Michael Segel
Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry
Capgemini
Was ist angesagt?
(20)
More Personalized Banking Through Big Data and Analytics
More Personalized Banking Through Big Data and Analytics
Big Data in Financial Services
Big Data in Financial Services
Data Monetization Framework
Data Monetization Framework
Lead to Cash: The Value of Big Data and Analytics for Telco
Lead to Cash: The Value of Big Data and Analytics for Telco
Big Data Analytics for Banking, a Point of View
Big Data Analytics for Banking, a Point of View
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
Srini Data Monetization
Srini Data Monetization
Top Data Analytics Trends for 2019
Top Data Analytics Trends for 2019
201407 Global Insights and Actions for Banks in the Digital Age - Eyes Wide Shut
201407 Global Insights and Actions for Banks in the Digital Age - Eyes Wide Shut
Leveraging Big Data to Drive Bank Customer Engagement and Loyalty
Leveraging Big Data to Drive Bank Customer Engagement and Loyalty
Big-Data-The-Case-for-Customer-Experience
Big-Data-The-Case-for-Customer-Experience
Big Data & Analytics perspectives in Banking
Big Data & Analytics perspectives in Banking
Data monetization shailesh d ubey
Data monetization shailesh d ubey
How to reach a Data Driven culture
How to reach a Data Driven culture
The digital transformation of retail
The digital transformation of retail
Cognizant Analytics for Banking & Financial Services Firms
Cognizant Analytics for Banking & Financial Services Firms
The Journey to Big Data Analytics
The Journey to Big Data Analytics
TechConnex Big Data Series - Big Data in Banking
TechConnex Big Data Series - Big Data in Banking
Dubai Big Data in Finance, Intro to Hadoop 2-Apr-14 - Michael Segel
Dubai Big Data in Finance, Intro to Hadoop 2-Apr-14 - Michael Segel
Big Data Analytics in light of Financial Industry
Big Data Analytics in light of Financial Industry
Andere mochten auch
Complex Models for Big Data
Complex Models for Big Data
Data Science Research Center
Data Science Highlights
Data Science Highlights
Joe Lamantia
Engineering patterns for implementing data science models on big data platforms
Engineering patterns for implementing data science models on big data platforms
Hisham Arafat
Becoming Data-Driven Through Cultural Change
Becoming Data-Driven Through Cultural Change
Cloudera, Inc.
From Insight to Action: Using Data Science to Transform Your Organization
From Insight to Action: Using Data Science to Transform Your Organization
Cloudera, Inc.
How to create new business models with Big Data and Analytics
How to create new business models with Big Data and Analytics
Aki Balogh
Analytics Trends 2016: The next evolution
Analytics Trends 2016: The next evolution
Deloitte United States
Andere mochten auch
(7)
Complex Models for Big Data
Complex Models for Big Data
Data Science Highlights
Data Science Highlights
Engineering patterns for implementing data science models on big data platforms
Engineering patterns for implementing data science models on big data platforms
Becoming Data-Driven Through Cultural Change
Becoming Data-Driven Through Cultural Change
From Insight to Action: Using Data Science to Transform Your Organization
From Insight to Action: Using Data Science to Transform Your Organization
How to create new business models with Big Data and Analytics
How to create new business models with Big Data and Analytics
Analytics Trends 2016: The next evolution
Analytics Trends 2016: The next evolution
Ähnlich wie Building new business models through big data dec 06 2012
Build it…will they come by Shawn Trainer
Build it…will they come by Shawn Trainer
Data Con LA
The value of our data
The value of our data
EnterpriseGRC Solutions, Inc.
Big Data as Competitive Advantage in Financial Services
Big Data as Competitive Advantage in Financial Services
Cloudera, Inc.
Entry Points – How to Get Rolling with Big Data Analytics
Entry Points – How to Get Rolling with Big Data Analytics
Inside Analysis
Four Key Considerations for your Big Data Analytics Strategy
Four Key Considerations for your Big Data Analytics Strategy
Arcadia Data
Top 5 Business Intelligence (BI) Trends in 2013
Top 5 Business Intelligence (BI) Trends in 2013
Siva Shanmugam
Deciding to go cloud 09212010
Deciding to go cloud 09212010
ERwin Modeling
Modern Data Challenges require Modern Graph Technology
Modern Data Challenges require Modern Graph Technology
Neo4j
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...
Santiago Cabrera-Naranjo
How Startups can leverage big data?
How Startups can leverage big data?
Rackspace
Leveraging Streaming Data through Automation
Leveraging Streaming Data through Automation
Enterprise Management Associates
Overview - IBM Big Data Platform
Overview - IBM Big Data Platform
Vikas Manoria
How to get started in extracting business value from big data 1 of 2 oct 2013
How to get started in extracting business value from big data 1 of 2 oct 2013
Jaime Nistal
Cloud without Compromise
Cloud without Compromise
Arrow ECS UK
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
Harvinder Atwal
Self-service analytics @ Leaseplan Digital: from business intelligence to int...
Self-service analytics @ Leaseplan Digital: from business intelligence to int...
webwinkelvakdag
Analytics: What is it really and how can it help my organization?
Analytics: What is it really and how can it help my organization?
SAS Canada
Leaders in the Cloud: Identifying Cloud Business Value for Customers
Leaders in the Cloud: Identifying Cloud Business Value for Customers
OpSource
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
Enterprise Management Associates
Collaboration and Productivity with Microsoft SharePoint
Collaboration and Productivity with Microsoft SharePoint
Edgewater
Ähnlich wie Building new business models through big data dec 06 2012
(20)
Build it…will they come by Shawn Trainer
Build it…will they come by Shawn Trainer
The value of our data
The value of our data
Big Data as Competitive Advantage in Financial Services
Big Data as Competitive Advantage in Financial Services
Entry Points – How to Get Rolling with Big Data Analytics
Entry Points – How to Get Rolling with Big Data Analytics
Four Key Considerations for your Big Data Analytics Strategy
Four Key Considerations for your Big Data Analytics Strategy
Top 5 Business Intelligence (BI) Trends in 2013
Top 5 Business Intelligence (BI) Trends in 2013
Deciding to go cloud 09212010
Deciding to go cloud 09212010
Modern Data Challenges require Modern Graph Technology
Modern Data Challenges require Modern Graph Technology
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...
How Startups can leverage big data?
How Startups can leverage big data?
Leveraging Streaming Data through Automation
Leveraging Streaming Data through Automation
Overview - IBM Big Data Platform
Overview - IBM Big Data Platform
How to get started in extracting business value from big data 1 of 2 oct 2013
How to get started in extracting business value from big data 1 of 2 oct 2013
Cloud without Compromise
Cloud without Compromise
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
Self-service analytics @ Leaseplan Digital: from business intelligence to int...
Self-service analytics @ Leaseplan Digital: from business intelligence to int...
Analytics: What is it really and how can it help my organization?
Analytics: What is it really and how can it help my organization?
Leaders in the Cloud: Identifying Cloud Business Value for Customers
Leaders in the Cloud: Identifying Cloud Business Value for Customers
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
How Analytics Optimize Migration to Amazon Web Services, Microsoft Azure and ...
Collaboration and Productivity with Microsoft SharePoint
Collaboration and Productivity with Microsoft SharePoint
Building new business models through big data dec 06 2012
1.
Creating New Business
Models with Big Data & Analytics Aki Balogh www.linkedin.com/in/akibalogh
2.
More resources: www.GenerationAnalytics.com
|2 Agenda 1. What is Driving Big Data? 2. What is Big Data? 3. What is Analytics? 4. What can you do with Big Data & Analytics? 5. Example Architectures © Diamond Management & Technology Consultants, Inc.
3.
More resources: www.GenerationAnalytics.com
|3 Where is Big Data today? © Diamond Management & Technology Consultants, Inc.
4.
More resources: www.GenerationAnalytics.com
|4 What is driving Big Data? 1.Rising volumes of data 2.Falling cost of data management tools 3.Rising number of Data © Diamond Management & Technology Consultants, Inc. Scientists
5.
More resources: www.GenerationAnalytics.com
|5 #1: Data volumes are growing © Diamond Management & Technology Consultants, Inc.
6.
More resources: www.GenerationAnalytics.com
|6 #2: Data management tools like Hadoop are driving down cost © Diamond Management & Technology Consultants, Inc.
7.
More resources: www.GenerationAnalytics.com
|7 #3: Data Science as a discipline is growing © Diamond Management & Technology Consultants, Inc.
8.
More resources: www.GenerationAnalytics.com
|8 What is Big Data? © Diamond Management & Technology Consultants, Inc.
9.
More resources: www.GenerationAnalytics.com
|9 Big Data is Turning data into insights to drive decision-making © Diamond Management & Technology Consultants, Inc. Source: Allen (1999)
10.
More resources: www.GenerationAnalytics.com
| 10 A Simple Framework: 3 Vs of Big Data • Volume • Variety • Velocity © Diamond Management & Technology Consultants, Inc.
11.
More resources: www.GenerationAnalytics.com
| 11 #1: Volume © Diamond Management & Technology Consultants, Inc. Source: Christopher Bingham, Crimson Hexagon. “Better Algorithms from Bigger Data.”
12.
More resources: www.GenerationAnalytics.com
| 12 #2: Variety Data can dramatically change the way marketers gain customer intelligence and measure campaign effectiveness. 1. CRM Data + Web Data = Improve lead quality scoring 2. Call-Center Data + Web data = Better analyze calls you should avoid 3. Past Purchase Data + Web Data = Segment customers based on past buying behavior and target them on your website 4. Campaign Data + Web Data = Understand multi-touch attribution and optimize your campaign mix © Diamond Management & Technology Consultants, Inc. 5. Social Media Data + Web Data = Measure traffic to your website from social media campaigns Source: “Why Web Analytics is Not Enough.” Quantivo. (Paraphrased)
13.
More resources: www.GenerationAnalytics.com
| 13 #3: Velocity © Diamond Management & Technology Consultants, Inc. Source: Guavus Reflex Platform. http://www.guavus.com/#/solutions/guavus-platform/
14.
More resources: www.GenerationAnalytics.com
| 14 What is Analytics? © Diamond Management & Technology Consultants, Inc.
15.
More resources: www.GenerationAnalytics.com
| 15 Five Common Analytics Objectives Classify • Clustering • Unsupervised and supervised machine learning • Fraud analytics Trend • Time-series analysis Optimize • Find the optimal outcome of an objective function (min/max) © Diamond Management & Technology Consultants, Inc. Predict • Predict the outcome of a single event Simulate • Explore the consequences of different choices to help drive decision- making • Open-ended: Scenario planning, DSS
16.
More resources: www.GenerationAnalytics.com
| 16 What can you do with Big Data & Analytics? © Diamond Management & Technology Consultants, Inc.
17.
More resources: www.GenerationAnalytics.com
| 17 What does Big Data Analytics require? Data: data availability + storage + integration + data management tools + Analytics: analytic formulas + statistical integrity + analytic applications + Interpretation: business problem + domain expertise + visualization + decision-making This typically requires a team of people with different skillsets. © Diamond Management & Technology Consultants, Inc.
18.
More resources: www.GenerationAnalytics.com
| 18 What can you do with Big Data & Analytics? 1. New revenue models Ex: Rapleaf scraping the web, collecting contact information and selling full datasets 2. New user experiences Ex: Gmail recommendations for people to CC: on your email 3. Cost optimization (i.e. deliver same product or service at less cost) Ex: Give your financial advisors tools to help automate your investment decisions © Diamond Management & Technology Consultants, Inc.
19.
More resources: www.GenerationAnalytics.com
| 19 Example Architectures © Diamond Management & Technology Consultants, Inc.
20.
More resources: www.GenerationAnalytics.com
| 20 Combining Big Data and the Enterprise Data Warehouse © Diamond Management & Technology Consultants, Inc.
21.
More resources: www.GenerationAnalytics.com
| 21 Database Types and Examples Database Type Example Database Usage SQL Row DBMS MySQL, PostgreSQL Real-time transactions on SQL data SQL Column DBMS Vertica, InfiniDB Real-time analytics on SQL data SQL In-Memory MemSQL Real-time transactions © Diamond Management & Technology Consultants, Inc. Document-store MongoDB JSON data Graph Database Neo4j Social network connections Hadoop Hive, Hadapt, Unstructured and Accumulo semi-structured data Complex Event Storm Real-time events Processing Math Package R Analytic libraries
22.
More resources: www.GenerationAnalytics.com
| 22 Redis © Diamond Management & Technology Consultants, Inc. Source: http://redis.io/presentation/Redis_Cluster.pdf
23.
More resources: www.GenerationAnalytics.com
| 23 MongoDB © Diamond Management & Technology Consultants, Inc. Source: http://www.slideshare.net/PhilippeJulio/big-data-architecture
24.
More resources: www.GenerationAnalytics.com
| 24 HDFS © Diamond Management & Technology Consultants, Inc. Source: http://gigaom.com/cloud/what-it-really-means-when-someone-says-hadoop/
25.
More resources: www.GenerationAnalytics.com
| 25 Hadoop + R © Diamond Management & Technology Consultants, Inc. Source: http://blog.revolutionanalytics.com/2011/09/slides-and-replay-from-r-and-hadoop- webinar.html
26.
More resources: www.GenerationAnalytics.com
| 26 Stream Processing + Column DBMS © Diamond Management & Technology Consultants, Inc. Source: Guavus Reflex Platform. http://www.guavus.com/#/solutions/guavus-platform/
27.
More resources: www.GenerationAnalytics.com
| 27 EDW + HDFS + NoSQL + CEP (Simplified) © Diamond Management & Technology Consultants, Inc. Source: http://www.oracle.com/technetwork/topics/entarch/articles/oea-big-data-guide-1522052.pdf
28.
More resources: www.GenerationAnalytics.com
| 28 EDW + Hadoop + Reporting © Diamond Management & Technology Consultants, Inc. Source: http://www.oracle.com/technetwork/topics/entarch/articles/oea-big-data-guide-1522052.pdf
29.
More resources: www.GenerationAnalytics.com
| 29 EDW + Data Science Sandboxes + CEP © Diamond Management & Technology Consultants, Inc. Source: Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations (SAS)
30.
More resources: www.GenerationAnalytics.com
| 30 Appendix: 451 Group Big Data Landscape © Diamond Management & Technology Consultants, Inc. Source: http://blogs.the451group.com/information_management/files/2012/11/DB_landscape.jpg
Jetzt herunterladen