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Big Data LDN
This course is no longer available. Find something similar by browsing:
Data Monetization
Revenue Generation
CDO Strategy
Analytics
Internal Operations
Leadership
Register for this course and see more details by visiting:
OpenCourser.com/course/el9esn/converting
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Core audience is for CDOs and their teams, who want to explore new ways to monetize their data and create new revenue streams for their organizations
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Converting the CDO to a Profit Centre.
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Career center
Learners who complete Converting the CDO to a Profit Centre will develop knowledge and skills
that may be useful to these careers:
Chief Data Officer
Chief Data Officer
The Chief Data Officer (CDO) is responsible for leading the organization's data and analytics strategy. This course can help CDOs develop the skills and knowledge they need to create new revenue streams for their organizations by monetizing data.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems and develop new products and services. This course can help Data Scientists learn how to monetize data and create new revenue streams for their organizations.
Data Analyst
Data Analyst
Data Analysts help businesses understand their data and make better decisions. This course can help Data Analysts learn how to monetize data and create new revenue streams for their organizations.
Business Analyst
Business Analyst
Business Analysts help businesses understand their business needs and develop solutions to improve their operations. This course can help Business Analysts learn how to monetize data and create new revenue streams for their organizations.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products and services. This course can help Product Managers learn how to monetize data and create new revenue streams for their organizations.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course can help Marketing Managers learn how to monetize data and create new revenue streams for their organizations.
Sales Manager
Sales Manager
Sales Managers are responsible for leading sales teams and developing new business opportunities. This course can help Sales Managers learn how to monetize data and create new revenue streams for their organizations.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. This course can help Customer Success Managers learn how to monetize data and create new revenue streams for their organizations.
Operations Manager
Operations Manager
Operations Managers are responsible for overseeing the day-to-day operations of a business. This course can help Operations Managers learn how to monetize data and create new revenue streams for their organizations.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and providing recommendations to investors. This course may be useful for Financial Analysts who are interested in learning how to monetize data and create new revenue streams for their organizations.
Investment Banker
Investment Banker
Investment Bankers help companies raise capital and advise them on mergers and acquisitions. This course may be useful for Investment Bankers who are interested in learning how to monetize data and create new revenue streams for their organizations.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. This course may be useful for Consultants who are interested in learning how to monetize data and create new revenue streams for their clients.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. This course may be useful for Entrepreneurs who are interested in learning how to monetize data and create new revenue streams for their businesses.
Teacher
Teacher
Teachers educate students in a variety of subjects. This course is not relevant to Teachers.
Doctor
Doctor
Doctors diagnose and treat patients. This course is not relevant to Doctors.
For more career information including salaries, visit:
OpenCourser.com/course/el9esn/converting
Reading list
We haven't picked any books for this reading list yet.
Written by a professor at Columbia University, this book provides a theoretical and practical framework for understanding data monetization and its role in driving business value.
Is tailored for business leaders, providing a comprehensive overview of data monetization strategies and how to align them with business objectives.
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Focuses on developing data-driven business models that leverage data to generate revenue and improve operational efficiency.
Provides a comprehensive guide to revenue generation, covering topics such as market analysis, customer segmentation, and sales optimization.
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Provides a lean and agile approach to revenue generation for startups and covers topics such as customer development and validation.
Provides a step-by-step guide to implementing revenue optimization strategies, covering topics such as customer lifetime value analysis and churn management.
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Provides a roadmap for developing and executing a successful revenue generation strategy and emphasizes the importance of leadership and organizational alignment.
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Emphasizes the importance of innovation and differentiation in revenue generation and provides case studies of successful businesses that have implemented these principles.
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Explores the impact of digital technologies on revenue generation and provides strategies for leveraging these technologies to drive growth.
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Focuses on the mindset and beliefs that drive successful revenue generators and provides exercises and techniques for developing a growth-oriented mindset.
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Focuses on helping businesses accelerate their revenue growth through effective sales and marketing strategies.
Focuses specifically on revenue generation strategies for non-profit organizations and covers topics such as fundraising, grantsmanship, and corporate partnerships.
Explores revenue generation strategies for educational institutions and covers topics such as online learning, blended learning, and microcredentials.
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Offers a practical and actionable guide to generating revenue through various channels, including online marketing and affiliate programs.
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Provides a comprehensive overview of deep learning, which subfield of machine learning.
Provides a comprehensive overview of machine learning, which subfield of data analytics.
Is excellent for gaining a broad understanding of analytics, focusing on the fundamental principles of data science and the 'data-analytic thinking' necessary for extracting business value from data. It's commonly used as a textbook in MBA and analytics programs and provides a solid foundation for anyone looking to understand how analytics supports business decision-making.
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Provides an accessible introduction to the concepts and applications of predictive analytics. It uses engaging examples to illustrate how predictive models work and their impact across various industries. It's a good read for gaining a broad understanding of predictive analytics without delving into deep technical details.
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Provides practical guidance on how to use data analytics to solve real-world problems.
Provides a comprehensive overview of the field of data analytics and is written in an easy-to-understand style.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/el9esn/converting
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This course belongs to a
collection
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Big Data LDN 2019 . It's comprised of 101 courses:
- The Database Is Only Half Done
- Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
- Multiparadigm Data Science: The Next Frontier in Decision Making
- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital
- Building a Modern Data Architecture for the Data Driven Enterprise
- Harnessing the Power of Data to Improve Public Health
- Real-time Data Analytics at Scale Using Cloud Services
- Quick and Easy Access to Data through a Logical Data Warehouse Environment
- The Promise of Data Mastering at Scale
- Research vs. Reality in AI: Would You Trust Your Model with Your Life?
- Modernise Your IT Infrastructure for AI
- Scaling Machine Learning at Holiday Extras
- Why Do Some Machine Learning Models Fail?
- AI: Lessons Learned from the Front Line
- Machine Learning in Real-time: Predicting Taxi Fare in NYC
- How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
- Multi-model Powered Machine Learning
- ML in Production: Serverless and Painless
- Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
- Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
- Modern Data Warehousing at Scale Using Azure Data Factory
- Balancing Performance, Scalability, and High Availability in Your Database Environment
- Enabling Microservices for Big Data On-demand in the Cloud
- From ETL to ELT: Building a Scalable Data Stack with SQL
- Data, Governance, and Freedom
- How to Get the Technology Stack Right for Your Business
- Data Modelling with Apache Cassandra
- How to Orchestrate Your ML Pipelines in Hybrid Cloud
- Full Stack Metadata Driven Thinking to Drive Business Agility
- Enhance Developer Experience Using OpenShift on Azure
- Fast Data for Faster Business
- Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
- Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
- Bridge to Cloud
- How to Train Your AI Models at Scale
- 99% of Your IoT Data Is Worthless, but Which 99%?
- Data Engineering in MagicLab: The Birth and Life of an Event
- RNA - Event Stream Processing Made Simple
- When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
- Saving Energy in Homes with a Unified Approach to Data and AI
- Building Stream Processing Applications with Apache Kafka Using KSQL
- Real-world, Real-time Digital Transformation
- Machine Data in Industry 4.0: How to Handle It Better
- Why CockroachDB in the Kindred Platform?
- The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
- Effective Cloud Migration Strategies for Your Modern Data Applications
- Snowflake? Why Should I Care?
- The Future of Business Intelligence Isn't a Tool
- AI-driven Retail for the 21st Century
- The Next Generation of Data Architecture
- Modern Enterprise Data Engineering
- Taking Control of User Analytics with Snowplow
- Flex Your Data(Ops) Muscles
- You Love Big Data, so Does R
- Building Predictive Maintenance Solutions
- Quickly, Codelessly Connect Any Application to Any REST API
- Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
- From Waterfall to Agile – A Data Warehouse Modernisation Story
- Freeing up Engineering and Infrastructure Resources to Scale with DataOps
- Unit Testing with pytest
- Credit Card Fraud – Why the Database Matters
- Data Science at SEGA
- British Telecom: Data-driven Digital Transformation
- Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
- Data Analytics & IoT Innovations at Bosch
- Converting the CDO to a Profit Centre (viewing)
- Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
- Governed Data Discovery
- Journey to Create a Great Analytic Culture
- Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
- Democratising Data – How We Built a Self-serve Data Platform
- Discover the “Why” You Didn't Know Existed
- Selecting Your Fantasy Premier League Team with Advanced Analytics
- Decouple Storage from Compute
- Data Skills: Building a Data Team Fit for a Data-driven Enterprise
- Consent, Compliance, and the Impact on Customer Experience
- AI & Communication: Meaningful Data from New Sources
- Real-time Personalised Customer Interaction at Scale
- Data: The Musical, with LW Theatres
- Self-service and Tableau Community at Lloyds Banking Group
- The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
- Using Location Intelligence to Place Solar Panels in Rwanda
- Embedding Intelligence into the Heart of Customer Operations
- The Art of Customer Conversations
- How to Build a Fully Autonomous Card Fraud Detection System
- At Last! The Real-time Customer Experience
- Data Privacy Mythbusting
- Demystifying Data – What They Don’t Tell You at Data School
- Optimizing Your Data Value Chain with Agile Data Management
- Data at SEGA Europe
- Keep Your Data Lake from Getting Hadooped
- Top 10 Privacy Tips & Tricks in Big Data
- Data Governance as a Customer Service
- 7 AI Quick Win Projects
- Delivering Value with Intelligent Data Governance
- The Culture Competition – Personalisation vs. Privacy
- DataOps for AI and Digital Transformation
- Big Data LDN: A GDPR Retrospective
- GDPR: A Sword Not a Shield
- Drive Business Growth While Satisfying GDPR and CCPA
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