Reframing Data Strategy Alignment

03/22/23 • 29 min

Organizational alignment on a data strategy is essential to realizing the transformative impact of applying an organization’s data to its fullest potential. This is easier said than done, despite there being a general alignment amongst an organization’s leaders on the transformative opportunities to apply their data. Why is it hard for an organization to align on a data strategy? What are the top-line considerations for an organization’s leadership to avoid or break out of the deadlock states that hinder the acceleration of data value creation? What is the breakthrough path for ‘The Data Strategy Alignment Conundrum’?

In this episode, you’ll learn:

Should we centralize, de-centralize, or federate our data transformation investments?
How Karthik built and bootstrapped Microsoft's internal data office
The cultural alignment and how to think about connected data
The challenges that come with being a data-driven organization

Some questions we ask:

What is data strategy?
What informs the compliance and security requirements that organizations work towards?
How can you get data investments to evolve in most organizations?
What do we need to do to responsibly accelerate our data value creation opportunities?

Guest bio

General Manager of Enterprise Data at Microsoft, Karthik Ravindran, has delivered a modern cloud-native data and analytics foundation on Microsoft Azure for Microsoft's own digital transformation. He also standardized and scaled enterprise data governance to democratize data and applications responsibly. Leading data transformation engagements with Microsoft, Karthik works with customers and partners on data modernization strategies, architecting a cloud-native data and analytics foundation, and scaling data governance for responsible data democratization.

Resources:

View Karthik Ravindran on LinkedIn

View Patrick LeBlanc on LinkedIn

Discover and follow other Microsoft podcasts at microsoft.com/podcasts

Hosted on Acast. See acast.com/privacy for more information.

In this episode, you’ll learn:

Should we centralize, de-centralize, or federate our data transformation investments?
How Karthik built and bootstrapped Microsoft's internal data office
The cultural alignment and how to think about connected data
The challenges that come with being a data-driven organization

Some questions we ask:

What is data strategy?
What informs the compliance and security requirements that organizations work towards?
How can you get data investments to evolve in most organizations?
What do we need to do to responsibly accelerate our data value creation opportunities?

Guest bio

Resources:

View Karthik Ravindran on LinkedIn

View Patrick LeBlanc on LinkedIn

Discover and follow other Microsoft podcasts at microsoft.com/podcasts

Hosted on Acast. See acast.com/privacy for more information.

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Insights Tomorrow - Trailer

Insights Tomorrow, brought to you by Microsoft, features in-depth conversations with data leaders and experts about the revolutionary journeys they're taking in the world of data, analytics, and governance. Join host Patrick LeBlanc to explore how unlocking value from data is trailblazing the way to digital transformation.

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Next Episode

Demystifying Data Modernization Patterns

Data modernization refers to the process of upgrading and transforming data systems, infrastructure, and processes to meet the demands of modern data-driven organizations. It involves the adoption of new technologies and techniques to increase data quality, speed, scalability, and agility. To help organizations navigate this complex process, several data modernization patterns have emerged that provide a framework for modernizing data systems.

In this episode, you’ll learn:

The types of challenges that come with building a data warehouse
How customers can embrace modernization
The challenges an organization may face going on-premises or to the cloud

Some questions we ask:

How does modernization data differ from traditional data warehouses?
What are some of the major challenges that customers face today?
Is the data warehouse dead?

Guest bio

Entrepreneur and International Business Management Executive Jeeva Akr leads the Cloud Scale Analytics go-to-market for Microsoft, growing the global sales of Azure Cloud Scale Analytics offerings, including Azure Synapse, Azure Databricks, Azure Stream Analytics, Azure Data Factory, Microsoft Purview, and more. He leads a direct team of sales strategists, program owners, go-to-market leaders, and partner development leaders, providing thought leadership and managing sales execution of the entire global business.

Resources:

Discover and follow other Microsoft podcasts at microsoft.com/podcasts

Hosted on Acast. See acast.com/privacy for more information.