Building a data culture: 6 points to ponder over

Building a data culture: 6 points to ponder over

What does it take to bridge the knowledge gap between the digital transformation pioneers and organisations struggling to find their footing? In this data era, the answer is quite simple – data culture. But what does it take to build one?

A data culture is one that brings together the talent and the tools necessary to empower business decision making. It cannot be imposed or imported. It must be introduced and encouraged until it is imbibed. This blog takes you through the steps you can take to build a data culture.

Data Privacy: Trends and predictions for 2019

Data Privacy: Trends and predictions for 2019

Privacy laws are increasingly getting comprehensive about data protection and the awareness about data privacy among the consumers is on the rise. This means companies must go the extra mile in protecting the privacy of their customers. This blog explores few trends in data privacy for this year.

4 examples of how smart data practices have changed the way businesses operate

4 examples of how smart data practices have changed the way businesses operate

More and more organizations are realizing the importance of data and the types of data that can be tapped to provide the best customer experience and improve products and services. This has led a few data-first companies to formulate their own set of data practices. And these smart data practices are changing the way these businesses operate and are setting precedence for times to come. Read this blog to know about the smart data practices that you can adopt in your business.

The consequences of bad data and how to tackle them

The consequences of bad data and how to tackle them

Imagine driving down an expressway as fast as you are legally allowed to. At some point of time, your windshield fogs up to the extent that you can barely make out the taillights of the vehicles in front. Can you drive at the same pace you were? Are you just as safe as before?

That’s what bad data does to an organization. Read on to know the possible consequences of bad data and how to avoid them.