How to achieve data excellence?

[seonajmulislam00]

Achieving data excellence is a challenge that every organization must face for business success. Let's see why it is important to achieve this in a global context full of uncertainties like the current one.

Why is it essential to move towards data excellence?
The explosion of information, the multiplication of data sources in an uncertain economic landscape, together with the evolution and expansion of government control and compliance regulations have made data excellence complex to achieve.

The truth is, especially in times of economic uncertainty, companies need access to data to meet their business objectives and move forward.

Therefore, providing all members of the organization with the data they need to make better decisions seems to be at odds with ensuring that all of this data is controlled and of quality.

Unfortunately, uncontrolled and unreliable data can wreak havoc on organizations in multiple ways.

For example, in the event of a usa phone number lead data breach, 62% of customers blame the company rather than the hacker . And regulatory fines continue to skyrocket: In 2020, GDPR fines jumped 40% compared to the previous 20 months.

However, despite these recognized costs, 80% of organizations provide more access privileges than necessary for users to do their jobs.

Today, more than ever, companies need to find a balance between agility and control. Cutting-edge technology plays an essential role in this process.

Data excellence is guaranteed with Talend, Qlik ’s latest acquisition , because it enables secure access and visibility throughout the entire data lifecycle.

This way, organizations can focus on using their data intelligently to remain relevant and competitive, rather than struggling to find it or questioning its credibility.

By implementing a data excellence strategy with Talend , companies will immediately see tangible results and improved business quality.

Best practices for building a data excellence strategy with Talend
There are three key areas that an organization’s data excellence strategy must address.

1. Build trust in data . First, the organization must build trust in data. Without reliable data, business leaders cannot be sure of the veracity of the insights they gain and are forced to rely on their gut instinct to make critical decisions.