Data and BI trends 2021: the great digital transformation
Posted: Tue Jan 21, 2025 6:59 am
In a year of crisis, the impact on different markets has been imminent. However, companies can be prepared and stay afloat, even thriving despite anomalies and standing out from the competition. What was once thought of as a gradual evolution towards digital must now happen immediately and the route to get there is by accelerating this great digital conversion, where data and analysis are essential.
In this article, we will look at the 10 data and BI trends for 2021 that companies must consider to be up to the great digital transformation that awaits us.
To adapt in a volatile world, two imminent changes are necessary
Rapid reaction and smart decision-making have become important factors to consider in times of crisis. How can this be achieved? By implementing two fundamental changes.
React. The evolution of digital and transformation within an organization has so far been linear. But now, digital must work immediately, which requires modernizing information flows, infrastructure qatar phone number lead and applications. In this sense, up-to-date, accessible and accurate data is essential.
Act earlier . How can we see the signs earlier and react faster? To address future anomalies, we need to prepare and act. This involves analysis – preparing scenarios and options, and not just having up-to-date data with triggers acting at the speed of business.
Data is at the heart of both changes , so companies need to improve their analytical level and their approaches across the board.
The 10 data and BI trends that support the great digital transformation
1) SaaS is the new best friend
For many businesses in 2020, the increased use of cloud and online providers has been essential to keeping the “lights on” in virtual environments. This has led to businesses using SaaS more than ever before. These changes have had beneficial side effects, such as adding scale and elasticity.
Furthermore, the pace of innovation in data and analytics is rapid and SaaS provides access to new technologies such as augmented analytics, facilitating transformation. The shift to SaaS will be a trigger for further migration of databases and applications.
2) Self-service has evolved into self-sufficiency
In a virtual world, self-service must evolve. When there is no manual instruction and no one to support the user, fast and intuitive acceleration becomes a must. However, we have seen that users often do not want self-service, but instead increasingly expect us to provide them with knowledge.
As a result, we will see more micro insights and ready-to-consume stories, as well as training for users to access data, knowledge and business.
The new, more intuitive logic will allow us to move from self-service visualization to data self-sufficiency. AI will play an important role here, bringing micro-insights to light and helping us navigate complex processes.
If more people can be self-sufficient with data earlier in the value chain, anomalies can be detected earlier and problems resolved earlier.
3) Data sharing, visualizations and data storytelling
In 2020, data and data visualizations exploded into mainstream news: the world had to look closely at data, not just at the Covid-19 case level but at the institutional level, in every company or organization.
Shared data, its visualization and storytelling will continue to be key during 2021.
4) Up-to-date, business-ready data is more important than ever
Since the pandemic hit, we have seen an increase in the need for accurate, real-time data. Alerts, data updates, and forecasts need to be more frequent and include the latest variables. As the velocity of data increases, the speed of business must follow.
In this article, we will look at the 10 data and BI trends for 2021 that companies must consider to be up to the great digital transformation that awaits us.
To adapt in a volatile world, two imminent changes are necessary
Rapid reaction and smart decision-making have become important factors to consider in times of crisis. How can this be achieved? By implementing two fundamental changes.
React. The evolution of digital and transformation within an organization has so far been linear. But now, digital must work immediately, which requires modernizing information flows, infrastructure qatar phone number lead and applications. In this sense, up-to-date, accessible and accurate data is essential.
Act earlier . How can we see the signs earlier and react faster? To address future anomalies, we need to prepare and act. This involves analysis – preparing scenarios and options, and not just having up-to-date data with triggers acting at the speed of business.
Data is at the heart of both changes , so companies need to improve their analytical level and their approaches across the board.
The 10 data and BI trends that support the great digital transformation
1) SaaS is the new best friend
For many businesses in 2020, the increased use of cloud and online providers has been essential to keeping the “lights on” in virtual environments. This has led to businesses using SaaS more than ever before. These changes have had beneficial side effects, such as adding scale and elasticity.
Furthermore, the pace of innovation in data and analytics is rapid and SaaS provides access to new technologies such as augmented analytics, facilitating transformation. The shift to SaaS will be a trigger for further migration of databases and applications.
2) Self-service has evolved into self-sufficiency
In a virtual world, self-service must evolve. When there is no manual instruction and no one to support the user, fast and intuitive acceleration becomes a must. However, we have seen that users often do not want self-service, but instead increasingly expect us to provide them with knowledge.
As a result, we will see more micro insights and ready-to-consume stories, as well as training for users to access data, knowledge and business.
The new, more intuitive logic will allow us to move from self-service visualization to data self-sufficiency. AI will play an important role here, bringing micro-insights to light and helping us navigate complex processes.
If more people can be self-sufficient with data earlier in the value chain, anomalies can be detected earlier and problems resolved earlier.
3) Data sharing, visualizations and data storytelling
In 2020, data and data visualizations exploded into mainstream news: the world had to look closely at data, not just at the Covid-19 case level but at the institutional level, in every company or organization.
Shared data, its visualization and storytelling will continue to be key during 2021.
4) Up-to-date, business-ready data is more important than ever
Since the pandemic hit, we have seen an increase in the need for accurate, real-time data. Alerts, data updates, and forecasts need to be more frequent and include the latest variables. As the velocity of data increases, the speed of business must follow.