Global DataOps

51 Entries
 
 
one year ago

View video replays of the all of the talks from the IBM Virtual Community Day: Business Ready Data for AI!

Through these videos you will learn more about how the IBM Unified Governance and Integration platform and solutions empower you to know your data is correct and available to every data user, to trust your data to deliver efficiency and protection and to use your data to drive business transformation and innovation.

#UGICommunityDay

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9 days ago

Presentation by Julie Lockner, Director for Portfolio Optimization and Offering Management IBM Data and AI, at IBM User Group Day 2020.
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#Featured-area-1-home#Highlights-home

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13 days ago

Check out this eBook from Data and AI Virtual Forum 2020 about the people, processes, and technology that will transform your business outcomes.


#Highlights
#Highlights-home

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one month ago

Too many great sessions to choose from? Couldn't attend all 92 sessions? Don't worry, we have you covered.

All of the breakout sessions were recorded and available for replay now!

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one month ago

A session covering the obvious bottleneck across your organization: data prep. Learn how Advanced Data Preparation, powered by Trifacta, can help reduce data preparation time so that you can focus on using business-ready data with analytics or business intelligence tools to drive business value.

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one month ago
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one month ago

"

Lack of quality data, siloed data ownership and inefficient processes associated with data collection and data preparation can stall the deployment of data-related projects. Many organizations face obstacles in developing data pipelines such as:

  • lack of understanding of the data by business users
  • lack of data governance and data quality
  • questionable trustworthiness of the data
  • inability to know what data is available and how to gain access

DataOps is designed to solve organizations’ challenges associated with inefficiencies in accessing, preparing, integrating and making data available – while adhering to corporate and regulatory policies. The DataOps methodlogy brings best practices from DevOps, data management and data governance into a common framework, with a collaborative way of developing and maintaining data flows across multiple stakeholders.

 

Read this whitepaper to dive deeper into:

1. Overcoming enterprise obstacles with DataOps

2. DataOps skills and organizational maturity development

3. A template to set up your first DataOps project plan"

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