5 Reasons Why DataOps Matters to Data-Driven Companies

August 26, 2020 | Article

Have you ever wondered why your data projects take longer? It’s mostly due to long lead times to find the data, get access, fix data quality issues, and solve other unexpected bottlenecks. Complex and unclear data security processes make it hard for users to gain access to the right data.

Analysts spend almost 80% of their time finding and cleaning data. They aren’t aware of or trained in the latest powerful analytics tools.

A ‘data operations’ team (DataOps) can help you address these issues and get the most value out of your data.

Benefits of DataOps:

1. Verified Datasets

Establish organized, high integrity, documented data sources that your data stakeholders can rely on.

2. Faster Access

Enable quick access to the right datasets for all stakeholders ranging from operational managers to data scientists.

3. Latest Tools & Training

Empower your team with the right data tools for vital data processes, including data analysis, transformation, visualization, and machine learning.

4. Process efficiency

Set up data lifecycle processes, and provide ongoing admin support.

5. Data Security and Compliance

Establish and operate processes that ensure the highest level of data security and meet all regulatory requirements like GDPR, PCI, HIPAA, etc.

5 Reasons Why DataOps Matters to Data-Driven Companies

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