Strategies for data-led businesses in a data-first world

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Learn how other chief data officers are achieving success by transforming their organizations into data-led businesses in a data-first world.
Data transforms the vast majority of processes and areas that make up organizations: the volume of information available is constantly expanding and the extraction of value from data is becoming increasingly important.

In this context, data leadership in companies requires capabilities for information management , but also the definition of strategies to promote data-forward businesses and obtain the desired results. What do these guidelines consist of and what role do data leaders play within data-driven companies?




HubSpot BLOG

Only 40% of data leaders manage data as a business asset and botim database 26% have successfully created a data-driven organization.

Source: MIT Management



CDO Insights 2023. How to boost data-driven business resilience


Three strategies to boost data-lead businesses
There are three fundamental strategies to lead companies towards data-driven decision making.

First, leadership – the ability to implement processes to optimally coordinate and manage the information that companies have. This requires high levels of resilience to face everyday challenges such as data silos, poor quality and lack of trust in data.

Data leadership is closely related to the different facets of data management, involving data monitoring, supervision and governance. The benefits of applying this skill are numerous:

Achieving improved performance in data usage.

Identification of areas for improvement in the operation of the company.

Obtaining results free of technical errors.

Fostering collaboration and a data-driven culture across different units and sectors.


HubSpot BLOG

29 % of data leaders cite a lack of leadership support as a reason they are unable to act on their data strategy. However, 87% feel empowered to make efforts toward executing it.

Source: Informatics



Secondly, the alignment between different areas involved in the organization's processes:

of data with the business strategy,

of investments with specific uses for each area of ​​business,

and tools for processing data with the company's standards.
This provides greater control over the budget and effectiveness in the execution of the data strategy and requires that the different sectors of the organization be coordinated and oriented towards ways of working that incorporate a solid data culture while promoting democratization.