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Big Data LDN
Big Data LDN 2019 | The Future of Business Intelligence Isn't a Tool | Jonathan Walls
Business data has changed radically. Enterprises today use thousands of SaaS applications and business systems that create more data than ever imagined, resulting in a struggle for users to gain holistic and actionable insights. Organizations need a solution to simplify the end to end workflow - from data prep and governance to visualization, delivery, and action. This talk with Jonathan Walls will reveal a proven solution with real world examples and how it creates future opportunities for your organization.
This course is no longer available. Find a similar course by searching these:
future of analytics
big data analysis
holistic data insights
actionable analytics
business intelligence trends
data-driven decision making
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What's inside
Syllabus
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Read about what's good
what should give you pause and
possible dealbreakers
Fits an audience interested in business data and business intelligence
Examines future opportunities for business organizations created by modern big data practices
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The Future of Business Intelligence Isn't a Tool.
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Career center
Learners who complete The Future of Business Intelligence Isn't a Tool will develop knowledge and skills
that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for providing data-driven insights to help organizations make better decisions. This course can help you develop the skills you need to succeed in this role by teaching you how to gather, analyze, and interpret data. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Data Scientist
Data Scientist
A Data Scientist uses advanced statistical and machine learning techniques to extract insights from data. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis and visualization. You will also learn how to use data mining and machine learning algorithms to identify patterns and trends in data.
Data Analyst
Data Analyst
A Data Analyst plays a vital role in the data-driven world of business intelligence. This course can help you excel in this role by developing your understanding of how to use data to solve business problems. You will learn how to prepare and analyze data, identify trends, and create actionable insights. With the skills you gain from this course, you will be well-equipped to help organizations make better decisions and improve their performance.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This course can help you develop the skills you need to succeed in this role by teaching you how to work with big data technologies such as Hadoop and Spark. You will also learn how to use data integration tools to create a unified view of data from multiple sources.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help you develop the skills you need to succeed in this role by teaching you how to design, implement, and manage database systems. You will also learn how to use database administration tools to monitor and optimize database performance.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course can help you develop the skills you need to succeed in this role by teaching you how to use data analysis techniques to improve the quality and performance of software systems. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand customer needs and develop product strategies. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for planning and executing marketing campaigns. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand customer behavior and develop marketing strategies. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand customer needs and develop sales strategies. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making investment recommendations. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand financial markets and make sound investment decisions. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Operations Manager
Operations Manager
An Operations Manager is responsible for managing the day-to-day operations of a business. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to improve operational efficiency and productivity. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Human Resources Manager
Human Resources Manager
A Human Resources Manager is responsible for managing the human resources function of a business. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand employee needs and develop HR strategies. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to track project progress and identify risks. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Consultant
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand business problems and develop solutions. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
Entrepreneur
Entrepreneur
An Entrepreneur starts and runs their own business. This course can help you develop the skills you need to succeed in this role by teaching you how to use data to understand market opportunities and develop business strategies. You will also learn how to use data visualization tools to communicate your findings to stakeholders.
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Time
30 hours
Level
Intermediate
Via
Pluralsight
Instructor
Big Data LDN
Language
English
This course belongs to a
collection
called
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 (viewing)
- 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
- 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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