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Big Data LDN

Big Data LDN 2019 | Why Self-service Data Analytics Usually Fails & Ideas for Succeeding | Steve Keil

Organizations adopt old approaches to analytics; our tools are typically okay, but the way we use them is wrong. Approaches and processes ensure we fail. Takeaways from this session will include what self-service analytics really means and how it should be enabled.

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the challenges and mistakes often made with self-service data analytics tools, helping learners become aware of common pitfalls early in their learning
Taught by Steve Keil, an experienced data analytics professional and instructor
Suitable for business professionals and data analysts seeking to implement effective self-service data analytics strategies within their organizations
Covers essential concepts and practical approaches for overcoming common challenges in self-service data analytics

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Career center

Learners who complete Why Self-service Data Analytics Usually Fails & Ideas for Succeeding will develop knowledge and skills that may be useful to these careers:
Business Analyst
As a Business Analyst, you will collaborate with stakeholders to understand their business needs and translate these needs into technical requirements. This course will be valuable in this role as it provides insights into how to effectively gather and analyze data, which can lead to improved decision-making.
Data Analyst
As a Data Analyst, you will collect, clean, and analyze data to identify trends and patterns that inform decision-making. This course may be beneficial as it provides insights into how to use self-service data analytics tools to derive meaningful insights from data.
Data Engineer
As a Data Engineer, you will design, build, and maintain the infrastructure and processes to ensure that data is available, reliable, and secure. This course may help you succeed as a Data Engineer by providing guidance on how to implement effective self-service data analytics solutions.
Chief Data Officer
As a Chief Data Officer, you will oversee the organization's data strategy and ensure the effective use of data. This course may provide valuable strategic insights into the implementation and governance of self-service data analytics across the organization.
Data Architect
As a Data Architect, you will design, build, and manage the infrastructure for data storage and processing. This course may assist you in designing data systems that support self-service analytics and ensure the successful implementation of these systems.
Data Management Specialist
As a Data Management Specialist, you will ensure that data is properly managed and utilized. This course may provide valuable insights into data management best practices, particularly in the context of self-service data analytics.
Database Administrator
As a Database Administrator, you will manage and maintain databases, ensuring data integrity and security. This course can be helpful for understanding how to set up and manage databases that support self-service data analytics.
Business Intelligence Manager
As a Business Intelligence Manager, you will lead the development and implementation of business intelligence strategies. This course may provide valuable guidance on how to develop and implement self-service data analytics solutions that support business objectives.
Data Governance Officer
As a Data Governance Officer, you will develop and implement data governance policies and procedures to ensure the ethical, secure, and compliant use of data. This course may provide insights into data governance considerations specifically related to self-service data analytics.
Data Science Manager
As a Data Science Manager, you will lead a team of data scientists and oversee data science projects. This course may provide valuable insights into the management of self-service data analytics initiatives and the effective utilization of data science resources.
Statistician
As a Statistician, you will collect, analyze, interpret, and present data to help organizations make informed decisions. This course can provide valuable knowledge on statistical techniques and how to apply them effectively in self-service data analytics projects.
Data Scientist
As a Data Scientist, you will utilize data to provide actionable insights, trends, and solutions that help an organization make data-driven decisions. This course may help you prepare for this role by providing guidance on how to turn complex data into actionable plans.
Machine Learning Engineer
As a Machine Learning Engineer, you will design and implement machine learning models to solve business problems. This course has the potential to be beneficial for this role as it may provide insights into how to use self-service data analytics to gather and prepare data for machine learning.
Project Manager
As a Project Manager, you will plan, execute, and close projects, ensuring that they are completed within scope, on time, and within budget. This course can assist in developing project management skills that are essential for leading self-service data analytics initiatives.
Information Security Analyst
As an Information Security Analyst, you will protect data and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may provide valuable insights into security considerations for self-service data analytics.

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