Data Modernization: Driving positive outcomes by Operationalizing your Digital Feedback Loop

Data Modernization: Driving positive outcomes by Operationalizing your Digital Feedback Loop

In the current Covid-19 business environment, the value of a modern data platform has been amplified, driven by the need for businesses to digitally transform with urgency and intensity. By modernizing every aspect of their data operations, customers can realize the positive outcomes of Cost Savings, Innovation through Rapid Insights, and Maximum Security. Collectively, these outcomes are the key to successfully navigate a crisis such as Covid-19, plan the comeback, and indeed shape the new normal going forward.

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To realize these outcomes, organizations need to modernize each step of their data journey from capturing the signals at origination, to cost-effective storage and management at scale, agile extraction of insights, and ultimately to act on those insights. The resulting actions generate new data signals and the cycle will continue. We think about this virtuous cycle as the Digital Feedback Loop that creates value for organizations across all industries and geos. Companies who operationalize this Digital Feedback Loop in near-real-time and at scale, will not only achieve their own digital transformation aspirations, but also transform their industry in the process.


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Customers need the ability to choose the right data store for the right task and typically leverage relational, non-relational, and open-source data engines to meet their needs. Rather than implementing point solutions for each scenario, customers will maximize benefits when they choose an integrated data platform that provides for choice in data engines while maintaining best-in-class capabilities across each one. A modern data platform should provide Limitless scale, Intelligence by default, Hybrid compatibility, and Security that is always a step-ahead. These capabilities delivered across all data engines in a cost-effective manner represent the core evaluation criteria that companies establish for modernizing their data platform. Additionally, it is essential for the platform to offer rich migration tools and programmatic offers to support this modernization journey in a timely manner.


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Organizations should prioritize modernizing their existing data as a foundational capability for their Digital Transformation aspirations. Optimizing the storage and management of their new data being created through applications and devices every day will further strengthen this foundation. This modernized “data estate” will then enable the extraction and execution of actionable insights through the modern Analytics & AI solutions and visualized with modern business intelligence tools.

Our Data Modernization team will leverage the Azure Data platform to deliver on all these customer priorities and unlock value for our customers by operationalizing their Digital Feedback Loop. Together with our partner ecosystem, we will help our customers realize the modernization outcomes of Cost savings, Innovation through Rapid Insights, and Maximum Security to drive their comeback and sustained growth in the new normal. 

Nyrmin Quintero, MBA

Regional Vice-President - Salesforce | Consumer Goods | People Leader | Coach | D&I Advocate

4 年

Congratulations Pradeep!

回复

Well written. Thanks for sharing Pradeep Raman !!

Arijit Roy

Veeam Cloud - Asia Pacific and Japan

4 年

Congratulations Pradeep Raman

Hans Wieser

Everybody is ready for AI, except your data | Managing Director Azure Databases | Microsoft EMEA Timezone | Advisor, Mentor & Coach

4 年

Great post, Pradeep! You cannot expect to get the digital transformation benefits, sitting on last decade tech and processes. An opportunity embraced by leaders, and a hard truth for many others.

Jean-Claude "JC" Armand

Sales Leader in Cloud & AI Solutions | 20+ Years at Microsoft | Driving Billion-Dollar Growth & Digital Transformation

4 年

Truly great post!

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