Remove 2018 Remove Data Collection Remove Risk Remove Risk Management
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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

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Serving the Public Through Data

Cloudera

In another example, the Singapore Accountant General’s Department turned to Robotic Process Automation (RPA) in 2018 to audit payroll increments, performance bonuses and salaries. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks.

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Cloudera on Cloudera: Our Journey to Becoming more Data-driven

Cloudera

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).