10 data and BI trends for 2023
Posted: Tue Jan 21, 2025 3:54 am
Qlik has prepared a report on the main data trends for 2023. We invite you to learn about them and incorporate them into your business.
Power is fragmented, and so is data
Today, the world is immersed in geopolitical, social and economic problems. Reality shows us that, instead of moving towards cooperation, there is an increasing tendency towards isolation and conflict .
Many experts claim that the world is experiencing a process of deglobalization, where old structures and systems will gradually break down and multipolarity will emerge: the distribution of power among different entities.
Although this phenomenon will be unleashed on an afghanistan phone number lead international scale, its effects will be felt locally, both in businesses and in the personal lives of citizens.
There will be energy shortages, currency fluctuations, supply chain disruptions and market difficulties. Multipolarity will also impact information technologies .
Data and analytics professionals will have to adapt to this new context, which will give rise to new data trends. In a world in permanent crisis, adaptation has become an essential skill to react quickly and anticipate what the future will bring .
The time has come to go one step further than just going digital. Companies need to catch up in areas such as data governance, responsiveness and cloud access.
Top 10 Data and BI Trends for 2023
Qlik's report highlights 10 data and BI trends for 2023. We detail them one by one.
1. Real-time data helps combat supply chain disruptions
Real-time data makes it possible to predict and combat supply chain bottlenecks because it provides key knowledge to act or anticipate in accordance with contingency plans. It has been shown that forecasts allow us to react before everything collapses.
2. Speed of decision at scale
Once real-time data is available, the next step is to adapt
operational decisions at the same pace. Process automation can help achieve this.
3. Optimizing application development with low and high programming levels
In recent years, low-level programming tools have emerged for
create applications, which encouraged the development of their own apps by inexperienced users.
In addition to enabling this breakthrough, they increase the consumption of data and knowledge. For example, application automation allows workers to create chains of data-triggered events.
4. Competitiveness between humans and machines
AI, natural language processing, chatbots and other smart technologies are revolutionizing the world and changing old paradigms linked to human and machine work.
In the data and analytics universe, natural language capabilities will influence how information is queried, interpreted, and how reports are generated based on it.
Not only will we find data, we will also find other data that we would not have thought to investigate.
5. Data narratives that move to action
For years, the data industry has been all about delivering the right information to the right user at the right time. Today, this is more important than ever.
Data storytelling will not just be the way to get data for users to interpret, it will be much more than adding charts to infographics or PowerPoint presentations. It will be connected to action.
Power is fragmented, and so is data
Today, the world is immersed in geopolitical, social and economic problems. Reality shows us that, instead of moving towards cooperation, there is an increasing tendency towards isolation and conflict .
Many experts claim that the world is experiencing a process of deglobalization, where old structures and systems will gradually break down and multipolarity will emerge: the distribution of power among different entities.
Although this phenomenon will be unleashed on an afghanistan phone number lead international scale, its effects will be felt locally, both in businesses and in the personal lives of citizens.
There will be energy shortages, currency fluctuations, supply chain disruptions and market difficulties. Multipolarity will also impact information technologies .
Data and analytics professionals will have to adapt to this new context, which will give rise to new data trends. In a world in permanent crisis, adaptation has become an essential skill to react quickly and anticipate what the future will bring .
The time has come to go one step further than just going digital. Companies need to catch up in areas such as data governance, responsiveness and cloud access.
Top 10 Data and BI Trends for 2023
Qlik's report highlights 10 data and BI trends for 2023. We detail them one by one.
1. Real-time data helps combat supply chain disruptions
Real-time data makes it possible to predict and combat supply chain bottlenecks because it provides key knowledge to act or anticipate in accordance with contingency plans. It has been shown that forecasts allow us to react before everything collapses.
2. Speed of decision at scale
Once real-time data is available, the next step is to adapt
operational decisions at the same pace. Process automation can help achieve this.
3. Optimizing application development with low and high programming levels
In recent years, low-level programming tools have emerged for
create applications, which encouraged the development of their own apps by inexperienced users.
In addition to enabling this breakthrough, they increase the consumption of data and knowledge. For example, application automation allows workers to create chains of data-triggered events.
4. Competitiveness between humans and machines
AI, natural language processing, chatbots and other smart technologies are revolutionizing the world and changing old paradigms linked to human and machine work.
In the data and analytics universe, natural language capabilities will influence how information is queried, interpreted, and how reports are generated based on it.
Not only will we find data, we will also find other data that we would not have thought to investigate.
5. Data narratives that move to action
For years, the data industry has been all about delivering the right information to the right user at the right time. Today, this is more important than ever.
Data storytelling will not just be the way to get data for users to interpret, it will be much more than adding charts to infographics or PowerPoint presentations. It will be connected to action.