Elaine Hanley

Elaine Hanley is the IBM WW Lead for DataOps Center of Excellence, helping organizations across the globe to understand the value and whereabouts of their data to drive analytics-based decisions for success. This involves leading globally diverse organizations to understand how to direct their energy and resources to a focused business goal. Elaine works with the engineering teams within IBM to serve this market need, determining and driving product strategy to combine multiple facets of information management. This role is a culmination of the last 25 years of work in information management across all aspects, from coding to product management. Elaine has presented at many conferences on Data Governance and Data Management and holds a BAI (Software Engineering) from Trinity College, Dublin, and an M.Sc. (Computer Applications) from Dublin City University.

Apr 29th 2024

Course Auditing

Coursera

IBM

Categories

Data Science

Statistics & Data Analysis

Effort

Languages

DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided [...]

DataOps

Business Value

KPIs

Key Performance Indicators

Data Management

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Apr 29th 2024

Course Auditing

Coursera

IBM

Data Science

Statistics & Data Analysis