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Big Data LDN
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Customer Experience
Big Data
Data Analysis
Team Motivation
Register for this course and see more details by visiting:
OpenCourser.com/course/v6gwus/the
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Examines the benefits big data analytics provides to customer experience (CX) professionals
Studies how big data analytics strengthens CX professionals' skills in delivering value-based outcomes
Analyzes the impact big data analytics has on CX professionals' job satisfaction and reducing burnout
Appropriate for CX professionals seeking to enhance their understanding of data analytics
Practical examples of how big data analytics can be implemented in a business setting
Marina Shapira brings extensive experience in the field of digital CX
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Activities
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We're preparing activities for
The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work will develop knowledge and skills
that may be useful to these careers:
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for overseeing the use of data within an organization. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Chief Data Officers to better understand the customer experience and to develop a data strategy that is aligned with the organization's goals. Additionally, the course may help Chief Data Officers to develop their skills in data governance and data security.
Customer Experience Manager
Customer Experience Manager
Customer Experience Managers are responsible for improving the customer experience across all channels. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Customer Experience Managers to better understand the customer experience and to identify opportunities for improvement. Additionally, the course may help Customer Experience Managers to develop their skills in customer journey mapping and experience design.
Data Governance Officer
Data Governance Officer
Data Governance Officers are responsible for developing and implementing data governance policies and procedures. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Data Governance Officers to better understand the customer experience and to develop data governance policies that are effective and efficient. Additionally, the course may help Data Governance Officers to develop their skills in data management and compliance.
Data Security Officer
Data Security Officer
Data Security Officers are responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Data Security Officers to better understand the customer experience and to develop data security policies that are effective and efficient. Additionally, the course may help Data Security Officers to develop their skills in data protection and cybersecurity.
Data Architect
Data Architect
Data Architects are responsible for designing and building data systems. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Data Architects to better understand the customer experience and to design data systems that are scalable, reliable, and secure. Additionally, the course may help Data Architects to develop their skills in data modeling and database design.
Data Engineer
Data Engineer
Data Engineers are responsible for developing and maintaining data pipelines. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Data Engineers to better understand the customer experience and to develop data pipelines that are efficient and reliable. Additionally, the course may help Data Engineers to develop their skills in data integration and data processing.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products and services. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Product Managers to better understand the customer experience and to develop new products and services that meet the needs of customers. Additionally, the course may help Product Managers to develop their skills in market research and product development.
Data Scientist
Data Scientist
Data Scientists use statistical methods, machine learning, and other advanced techniques to extract insights from data. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Data Scientists to better understand the customer experience and to develop new products and services that meet the needs of customers. Additionally, the course may help Data Scientists to develop their skills in data mining and predictive modeling.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Operations Managers to better understand the customer experience and to identify opportunities for improvement. Additionally, the course may help Operations Managers to develop their skills in process improvement and supply chain management.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Business Analysts to better understand the customer experience and to identify opportunities for improvement. Additionally, the course may help Business Analysts to develop their skills in data analysis and problem-solving.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Marketing Managers to better understand the customer experience and to develop marketing campaigns that are more effective. Additionally, the course may help Marketing Managers to develop their skills in market research and campaign management.
Sales Manager
Sales Manager
Sales Managers are responsible for developing and executing sales strategies. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Sales Managers to better understand the customer experience and to develop sales strategies that are more effective. Additionally, the course may help Sales Managers to develop their skills in customer relationship management and sales forecasting.
Data Analyst
Data Analyst
Data Analysts gather, clean, and interpret data to solve problems and provide insights. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Data Analysts to better understand the customer experience and to identify opportunities for improvement. Additionally, the course may help Data Analysts to develop their skills in data visualization and communication.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. This course may be useful in this field by teaching how to use big data to uncover business value and meaning at work. This knowledge can help Project Managers to better understand the customer experience and to develop projects that are more effective. Additionally, the course may help Project Managers to develop their skills in project planning and risk management.
For more career information including salaries, visit:
OpenCourser.com/course/v6gwus/the
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work.
Provides a comprehensive overview of data science, including data mining and data-analytic thinking. It good foundation for understanding the concepts covered in the course.
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Provides a practical guide to data mining. It covers topics such as data preprocessing, feature selection, and model evaluation. It good resource for learning how to use big data to build predictive models.
Save
Provides a practical guide to predictive analytics, including techniques for data preparation, model building, and evaluation. It valuable resource for learning how to use big data to make predictions.
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Provides a practical guide to big data analytics. It covers topics such as data management, data analysis, and data visualization.
Save
Explores the impact of big data on various aspects of our lives, including business, work, and personal life. It provides insights into how big data is changing the world and how we can use it to our advantage.
Provides a practical guide to digital transformation. It covers topics such as developing a digital strategy, building a digital team, and implementing digital technologies. It good resource for understanding how to use big data to drive digital transformation.
Provides a comprehensive overview of Hadoop.
Provides a comprehensive overview of Spark.
Provides a comprehensive overview of Elasticsearch.
Provides a comprehensive overview of MongoDB.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v6gwus/the
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Big Data LDN
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
- 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 (viewing)
- 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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