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Achieving 100% Adoption of Analytics in the Enterprise

Big Data LDN 2019 | Achieving 100% Adoption of Analytics in the Enterprise | Rob Davis

Traditionally, most business intelligence software has been focused on the individual analyst. While the analyst is a key player obtaining insight for the organisation, a truly intelligent enterprise relies on all employees being able to leverage data and analytics in their day to day decisions. In order to achieve this 100% adoption, enterprises must employ novel new ways of inserting data and analytics into the day to day workflows of their employees in a way that makes their use intuitive and easy. In this session, you will learn the three elements of how an intelligent enterprise designs their analytics and business intelligence platform, how a governed single version of the truth can be paired with agile analytics, and novel new frictionless access for end users to achieve 100% adoption of analytics in the enterprise.

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analytics for all big data adoption data-driven decision-making frictionless access to data single version of the truth agile analytics

What's inside

Syllabus

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what should give you pause

and possible dealbreakers

Explores 100% adoption of analytics in the enterprise, which is standard in industry

Emphasizes the importance of a governed single version of the truth in achieving analytics adoption

Introduces novel approaches to frictionless access for end users in analytics adoption

Provides practical strategies for embedding data and analytics into daily workflows

Taught by Big Data LDN, recognized for their expertise in data and analytics

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Learners who complete Achieving 100% Adoption of Analytics in the Enterprise will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst uses relevant data to apply analytical techniques and make data-driven recommendations for a company. This course may be particularly useful for the Data Analyst who wishes to develop a deep knowledge of analytical tools and how they can be used to make actionable insights.

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Data Scientist

Working closely with Data Engineers, Data Scientists design, build, and maintain systems for data capture, analysis, and visualization. This course may be very useful for the Data Scientist who is involved in the design and implementation of these systems.

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Data Engineer

Data Engineers create, maintain, and improve systems that collect, store, manage, and process data. This course may be especially useful for the Data Engineer who is responsible for data quality, data integration, and data security.

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Business Analyst

A Business Analyst works closely with stakeholders and technical teams to define business needs and translate them into appropriate solutions. This course is may be useful for the Business Analyst who is involved in the early stages of a data analytics project.

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Software Engineer

Software Engineers design, develop, and test software applications. This course may be useful for the Software Engineer who is interested in developing data-driven applications.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. This course may be particularly helpful for those who want to develop a deeper understanding of the quantitative techniques used in financial analysis.

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Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. This course may be useful for the Actuary who is interested in using data analytics to develop risk models.

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Statistician

Statisticians collect, analyze, interpret, and present data. This course may be useful for the Statistician who is interested in using data analytics to solve business problems.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of organizations. This course may be useful for the Operations Research Analyst who is interested in using data analytics to solve operational problems.

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Data Management Analyst

Data Management Analysts plan, implement, and manage data management systems. This course may be especially useful for the Data Management Analyst who is responsible for data governance and data quality.

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Information Security Analyst

Information Security Analysts plan, implement, and manage information security systems. This course may be useful for the Information Security Analyst who is responsible for protecting data from unauthorized access.

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Chief Data Officer

Chief Data Officers are responsible for overseeing the use of data within an organization. This course may be useful for the Chief Data Officer who is interested in developing a data-driven culture within their organization.

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Data Governance Officer

Data Governance Officers are responsible for developing and implementing data governance policies and procedures. This course may be useful for the Data Governance Officer who is interested in ensuring the integrity and security of data within their organization.

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Data Architect

Data Architects design and implement data architectures. This course may be useful for the Data Architect who is interested in developing a data architecture that supports the organization's data analytics needs.

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Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course may be useful for the Database Administrator who is interested in learning how to manage and maintain data analytics systems.

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