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The Data Driven Leader: A New-World Order to Leadership

  Technology   February 2, 2021

In an evolving business landscape and unprecedented levels of uncertainty, it is crucial that businesses forge new paths to enable a data-and-analytics-centric culture within their organizations.

Leadership is never easy – especially during times of uncertainty and change. Majority of business-technology leaders across the globe have seen their industries upended as the spread of COVID-19 impacted business operations, priorities, processes and more.

Leadership is never easy – especially during times of uncertainty and change. Majority of business-technology leaders across the globe have seen their industries upended as the spread of COVID-19 impacted business operations, priorities, processes and more.

The challenge is exacerbated by employees’ ‘pandemic fatigue’, lack of face-to-face interactions and rapidly evolving customer needs. Today, these leaders acknowledge that data has become more critical than before, and is necessary to determine and progress upon the path to recovery.

The challenge is exacerbated by employees’ ‘pandemic fatigue’, lack of face-to-face interactions and rapidly evolving customer needs. Today, these leaders acknowledge that data has become more critical than before, and is necessary to determine and progress upon the path to recovery.

Data culture: A new world order
New Data Culture


If you are running operations to improve the productivity of your manufacturing plant, or looking to drive higher wallet-share from customers, or improving logistics of the supply chain; every single decision presents an opportunity to leverage data and drive superior decision-making from different sources.

A recent Gartner report states that by 2022, around 90 percent of corporate strategies will explicitly mention information/data as a critical enterprise asset and analytics as an essential competence.

In such an evolving business landscape and unprecedented levels of uncertainty, it is crucial that CIOs along with data and analytics leaders forge new paths to enable a data-and-analytics-centric culture within their organizations.

Enterprises will need to promote this shift through example. There has to be a pressing need to practice new habits, and create expectations for what it really means to root decisions in data.

CIOs and data leaders can drive this adoption through evangelization, business sponsorship, capability building, innovation and experimentation. They must focus and shift towards augmenting machine learning (ML) and artificial intelligence (AI) across all aspects of data management and data analytics.

Unlocking the data challenge

The path to driving a data–centric culture is not easy with many challenges along the way. These concerns can vary from one organization to another.

One common challenge across industries revolves around poor data quality issues, making data unfit for analytical purposes, unless it is cleaned and standardized. Synchronization of data across various sources is another challenge. Not having a single version of truth can result in multiple variations, and interpretations of it.

It is here that the enterprises will need to capitalize on digital interventions. They will first need to convert all their data into a digital format across the plethora of interactions and varied data types amongst humans, humans and machines, or amongst machines. The next step is to process the data and mine it using analytical horsepower to unearth hidden and actionable insights. And finally, implement and execute it through recommendations, actions, and process transformation by leveraging various physical and digital mediums.

Coupled with this is the aspect of data governance, information security, and responsible and permissible usage of data where applicable to ensure conformance to regulatory and customer privacy standards.

To circumvent these issues, it is important for enterprises to understand their data landscape, and then make necessary interventions. They need to look at what stage is their data today? Is the data qualified? Is it stored in an organized manner, and is it being used effectively for business decision-making?

How Cloudera can help in navigating the data storm

According to IDC, the amount of data created over the next three years will be more than the data created over the past 30 years. Companies will need to harness the power of data to serve customers better and improve overall business operations.

As a valued enterprise data cloud player, Cloudera has been helping enterprises transform complex data into clear actionable insights. It has been at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely.

Cloudera Machine Learning (CML) has solved numerous data lifecycle challenges associated with successfully adopting machine learning to power enterprise AI initiatives. Data integration is another key area where Cloudera has been working as part of its Enterprise Data Cloud strategy since the merger with Hortonworks.

The efforts by the engineering and product teams has been rewarded through availability of Cloudera Data Platform (CDP). CDP Private Cloud by Cloudera has been designed to be portable across multiple platforms. The company has public cloud partnerships with AWS from Amazon (AMZN), Azure and Google.

Integrating emerging technologies like AI, ML and data analytics tools has already helped businesses automate certain operations and become more intelligent, but it will be vital in today’s scenario of business recovery and growth.

Companies can no longer afford to allow lack of information hamper decision-making. Embracing a data-first mentality will not just rebuild; but help in completely reimagining business. Winners will be the ones who are using data, not guessing.

To know more on how you can transform complex data into clear and actionable insights, visit Cloudera’s on-demand content at:

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Disclaimer: The views expressed in this feature article are of the author. This is not meant to be an advisory to purchase or invest in products, services or solutions of a particular type or, those promoted and sold by a particular company, their legal subsidiary in India or their channel partners. No warranty or any other liability is either expressed or implied.
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