How to become a data-driven organization even with legacy systems?
Posted: Tue Jan 21, 2025 6:16 am
Qlik Data Integration is Qlik's platform that facilitates data integration and transforms legacy systems, enabling advanced, large-scale analytics. Find out more in this article.
Current challenges facing companies with legacy systems
Legacy systems refer to computer systems that are installed and in operation and that have long been reliably responding to the needs of businesses and the people who use these platforms.
The reality is that they have survived multiple versions and revisions, because in many cases they are high-performance and highly reliable, facilitating vital initiatives for organizations.
However, legacy systems alone are unable to keep up with the huge demand and volumes of new zealand phone number lead data that companies now have to manage , as revealed by a study by McKinsey , which asserts that there are many challenges to overcome in order to achieve analytics at scale.
Specifically, the main challenges are:
The cost and sheer complexity of migrating to newer platforms is enormous, making it virtually impossible for many companies to do so.
Accessing data in legacy systems turns out to be a very difficult and slow task.
Updates are slow , generating a negative impact on the efficiency of all business areas.
But legacy systems need to be able to support new requirements and demands. The solution lies in a reference architecture capable of modernizing the best of these systems and replacing what is obsolete.
Qlik Data Integration: The Value of Becoming a Data-Driven Organization
Business leaders around the world have begun to understand that they must become a data-driven organization and that in that construction, data integration is a central requirement.
In this scenario, they have started implementing advanced analytics and artificial intelligence use cases to make use of data efficiently and cost-effectively.
An example of this is the great impact of Qlik Data Integration , the leading data integration platform for extracting, analyzing, storing and governing valuable information that maximizes intelligent decision-making.
This solution is tasked with transforming existing legacy systems by supporting new requirements and large-scale analysis that the vast majority of traditional platforms cannot yet achieve.
The benefits extend to the entire organization that employs this solution .
In the past, business analysts spent too much time on reports instead of analyzing, synthesizing, and governing data. Today, success stories show that analysts spend 90% of their time solving business problems, and developer productivity has also increased fivefold.
This also leads to smarter business decisions through data. Instead of being limited to how it is stored in databases, analysts build information models from new points of view.
This provides access to business-relevant knowledge related to customers, distributors, sales, revenues and much more, allowing for intelligent identification of improvements that the company must make to optimize its resources and to focus budgets effectively.
The impact of Qlik Data Integration is transformative : businesses have the tools they need to share and access a consolidated view of their data, gaining a new level of insight to inform future strategy.
Data Integration: Key Elements of Data Architectures
We have mentioned that many data warehouses and platforms created a few years ago are unable to cope with the new requirements of big data and third-generation Business Intelligence . The key is then to structure them to regain the ability to scale and flexibly integrate additional platforms, for example by adding a data lake to manage new demands.
Current challenges facing companies with legacy systems
Legacy systems refer to computer systems that are installed and in operation and that have long been reliably responding to the needs of businesses and the people who use these platforms.
The reality is that they have survived multiple versions and revisions, because in many cases they are high-performance and highly reliable, facilitating vital initiatives for organizations.
However, legacy systems alone are unable to keep up with the huge demand and volumes of new zealand phone number lead data that companies now have to manage , as revealed by a study by McKinsey , which asserts that there are many challenges to overcome in order to achieve analytics at scale.
Specifically, the main challenges are:
The cost and sheer complexity of migrating to newer platforms is enormous, making it virtually impossible for many companies to do so.
Accessing data in legacy systems turns out to be a very difficult and slow task.
Updates are slow , generating a negative impact on the efficiency of all business areas.
But legacy systems need to be able to support new requirements and demands. The solution lies in a reference architecture capable of modernizing the best of these systems and replacing what is obsolete.
Qlik Data Integration: The Value of Becoming a Data-Driven Organization
Business leaders around the world have begun to understand that they must become a data-driven organization and that in that construction, data integration is a central requirement.
In this scenario, they have started implementing advanced analytics and artificial intelligence use cases to make use of data efficiently and cost-effectively.
An example of this is the great impact of Qlik Data Integration , the leading data integration platform for extracting, analyzing, storing and governing valuable information that maximizes intelligent decision-making.
This solution is tasked with transforming existing legacy systems by supporting new requirements and large-scale analysis that the vast majority of traditional platforms cannot yet achieve.
The benefits extend to the entire organization that employs this solution .
In the past, business analysts spent too much time on reports instead of analyzing, synthesizing, and governing data. Today, success stories show that analysts spend 90% of their time solving business problems, and developer productivity has also increased fivefold.
This also leads to smarter business decisions through data. Instead of being limited to how it is stored in databases, analysts build information models from new points of view.
This provides access to business-relevant knowledge related to customers, distributors, sales, revenues and much more, allowing for intelligent identification of improvements that the company must make to optimize its resources and to focus budgets effectively.
The impact of Qlik Data Integration is transformative : businesses have the tools they need to share and access a consolidated view of their data, gaining a new level of insight to inform future strategy.
Data Integration: Key Elements of Data Architectures
We have mentioned that many data warehouses and platforms created a few years ago are unable to cope with the new requirements of big data and third-generation Business Intelligence . The key is then to structure them to regain the ability to scale and flexibly integrate additional platforms, for example by adding a data lake to manage new demands.