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Case study: Petrol accelerates its analytics queries and increases retail sales
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How you can combat data errors and other major challenges
A survey of 375 asset management firms shows data management challenges that organizations are struggling with, including:
- 54% of firms are challenged by errors in data, largely due to the number of disparate data sources
- 66% of respondents require 6 to 9 people to process data to meet the needs of business stakeholders
Additionally, nearly 75% plan to invest in data management for speedier responses, risk management, and client insights.
Read the full report here.
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How Industrial DataOps is changing Industry 4.0
The change sweeping the manufacturing industry right now is so thorough that some are calling it “The 4th Industrial Revolution.”
With this change comes problems—namely the issue of unusable data.
But with the right DataOps approach, organizations are starting to make sense of remarkably complex sets of data.
This website post will walk you through the essentials of an industrial DataOps solution and demonstrate how one can be made to create value.
Read on to learn more about DataOps and the change sweeping industry today.
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How to build & scale operational data pipelines with OT systems
Integrating and contextualizing operational data has proven to be difficult when it comes to technical execution. This brief by IDC provides insights on the challenges and opportunities facing the CIO as they strive to bridge operational technology (OT) and the line of business.
Furthermore, the report explains why the unique qualities of operational data have caused IT organizations to struggle to scale the sourcing, contextualization and maintenance of operational data streams.
Explore this analyst brief to gain an understanding of how data pipelines can help overcome these challenges and empower IT and LoB to maintain hygienic data streams without amassing technical debt.
