How to Achieve Harmony with Data Orchestration

Summary

Synopsis:

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    What is data orchestration and how does it help deliver insights that drive organizational efficiency and growth

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    The roadmap for implementing data orchestration and best practices

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    Combining data orchestration with machine learning and AI to scale its impact

WHAT IS DATA ORCHESTRATION?

According to a 2018 survey by Gartner, 87% of organizations have low business intelligence and analytics maturity. This is not due to a lack of data but rather an inability to unlock the true potential of big data, and the five most common reasons for this challenge include:

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    Difficulties in locating data

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    Data being trapped in silos

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    Outdated data or inaccuracies

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    Insufficient data security and protection

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    A lack of proficient data analytic resources

To drive actionable outcomes with data, you need to first ensure access by removing silos and implementing a standardized process for data scrubbing before utilizing analytic tools to extract granular insights. This process is known as data orchestration and leverages automation to facilitate analysis.

Today, data orchestration tools are an integral part of a company’s tech stack and are essential for gleaning business insights that help drive organizational growth and efficiency.

DATA ORCHESTRATION TECHNIQUES

BEST PRACTICES IN DATA ORCHESTRATION

DATA ORCHESTRATION PLATFORMS

THE FUTURE OF DATA ORCHESTRATION

KEY TAKEAWAYS

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