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The data governance body needs to assess the internal and external context in which the organization operates in order to make effective decisions on how data will be used and controlled. Iterative activities in Data Governance Evaluate The three iterative activities involved in the governance of data are: Data governance focuses on how decisions are made about data, as well as the behavior expected from people and processes interacting with it.

Governance is all about direction and control. (Check out our data governance explainer.) Activities that support data governance Facing the twin risks of massive financial loss as well as huge penalties for non-compliance, the need to ensure data is correctly used and adequately protected is a responsibility of the highest leadership level.Īccording to the CMMI Institute’s Data Management Maturity Model, the purpose of data governance is to develop the ownership, stewardship and operational structures needed to ensure that corporate data is managed as a critical asset and implemented in an effective and sustainable manner.
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The increased financial worth assigned to digital data as seen by big tech valuations, plus the enhanced scrutiny from governments and consumers on how enterprises use it for this gain, has triggered the need for oversight within organizations.
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Meanwhile the fines for breach of data privacy laws are in the hundreds of millions of dollars, with China’s Didi Global getting hit with a penalty of $1.19 billion in 2022. An IDC study estimates that global data will double in size within the next three years, passing 180 zettabytes (billion terabytes) in 2025. The surge in the amount of data being generated and consumed continues - with no sign of stopping. Let’s dive into these concepts in greater detail. Data management involves the coordinated activities to define, control, supervise and improve the entire data lifecycle.Data governance is defined as the ownership, stewardship and operational structures needed to ensure that you’re managing corporate data as a critical asset.Splunk provides support for using JavaScript for custom visualizations and 3rd party JavaScript libraries for dashboards.Understanding the difference between data governance and data management is paramount in any setting where you’re managing (and monetizing) data. Report: Splunk allows users to easily create real-time reports that can be scheduled to run at any pre-defined intervals and these reports can be shared with other users.ĭashboards and Visualizations: Splunk offers powerful capabilities to rich dashboards and visualization that helps consolidate data from various reports to portray a particular use case with drill-down capability. Search: Splunk offers the ability to apply free-form searches and investigate log files, raw events, and statistical information using its SPL and eventually convert the results into charts. Splunk even allows to define customized alert actions. You can forward data from different devices, ingest data into your Splunk, and monitor that data in real-time.Īlerts: Splunk provides an alert mechanism to intimate users about critical events and sends those alerts via email, message or other such options. It provides a powerful SPL (Search Processing Language) to monitor huge log files and extract fields of interest from them.

Monitoring: Splunk allows you to monitor terabytes of data.
