Data management: the challenge of transforming data into knowledge
Posted: Tue Jan 21, 2025 5:41 am
Although data management covers different aspects, one of the most complex, and at the same time most important, points has to do with the ability to transform records into practical information for the business.
To turn data into actionable insights, organizations need to bridge the gap between data producers and consumers by treating data as a product.
In this article, we review the challenges of transforming data into knowledge, explain why it is necessary to treat data as if it were any other product offered by an organization, and introduce the advantages of using Qlik Data Products to enhance data management.
Transforming data into knowledge, a real challenge
Data is the key that opens the door to germany phone number lead making the right decisions. For this reason, organizations are focused on collecting records and building data lakes and data warehouses to unify them and be able to convert them into practical information that drives tangible results.
While this process is smooth and works well in theory, in practice, converting data into actionable insights is a challenge.
The challenge lies in the gap that exists between data producers, responsible for creating data artifacts, and data consumers, who seek to leverage them to drive valuable business outcomes.
While primarily a communication issue, the gap is exacerbated by fragmented data management practices, centralized teams that are unable to scale or incorporate data consumer perspectives, poor data quality , lack of transparency across the records value chain, and inadequately defined data ownership.
This prevents companies from taking full advantage of the potential of their data. In this sense, bridging the gap between data and knowledge becomes critical to increasing competitive advantages in an ever-evolving environment.
Treating data as a product is the key to effective data management
How can companies transform data into actionable insights that drive tangible and relevant results? By treating data as a product, managing it with the same level of care and attention as any other product offered by the organization.
This involves assigning clear ownership and responsibility for data sets, ensuring a high level of quality by implementing rigorous processes, making data accessible and understandable to consumers, and continually refining it to meet changing business needs.
By treating data as a product, organizations optimize data compression and utilization, improve tracking and management of data assets, minimize process delays and inefficiencies, facilitate data sharing across teams, and accelerate the process of integrating new data sets.
According to Harvard Business Review, companies that treat data as a product reduce the time required to implement it in new use cases by up to 90% , reduce total ownership costs (technology, development and maintenance) by up to 30% and minimize the risks posed by data governance .
Qlik Data Products, a paradigm shift in data management
The unified Qlik Talend Cloud platform combines the highest standards of data integration, transformation, quality and governance, unlocking the true potential of data and driving AI innovation to enable smarter decision making.
This solution introduces Data Products, a new data management paradigm that allows data to be treated as a real consumer product. In this way, it combines different elements into a single, reliable, domain-centric, consumable unit, bridging the gap between data producers and consumers.
To turn data into actionable insights, organizations need to bridge the gap between data producers and consumers by treating data as a product.
In this article, we review the challenges of transforming data into knowledge, explain why it is necessary to treat data as if it were any other product offered by an organization, and introduce the advantages of using Qlik Data Products to enhance data management.
Transforming data into knowledge, a real challenge
Data is the key that opens the door to germany phone number lead making the right decisions. For this reason, organizations are focused on collecting records and building data lakes and data warehouses to unify them and be able to convert them into practical information that drives tangible results.
While this process is smooth and works well in theory, in practice, converting data into actionable insights is a challenge.
The challenge lies in the gap that exists between data producers, responsible for creating data artifacts, and data consumers, who seek to leverage them to drive valuable business outcomes.
While primarily a communication issue, the gap is exacerbated by fragmented data management practices, centralized teams that are unable to scale or incorporate data consumer perspectives, poor data quality , lack of transparency across the records value chain, and inadequately defined data ownership.
This prevents companies from taking full advantage of the potential of their data. In this sense, bridging the gap between data and knowledge becomes critical to increasing competitive advantages in an ever-evolving environment.
Treating data as a product is the key to effective data management
How can companies transform data into actionable insights that drive tangible and relevant results? By treating data as a product, managing it with the same level of care and attention as any other product offered by the organization.
This involves assigning clear ownership and responsibility for data sets, ensuring a high level of quality by implementing rigorous processes, making data accessible and understandable to consumers, and continually refining it to meet changing business needs.
By treating data as a product, organizations optimize data compression and utilization, improve tracking and management of data assets, minimize process delays and inefficiencies, facilitate data sharing across teams, and accelerate the process of integrating new data sets.
According to Harvard Business Review, companies that treat data as a product reduce the time required to implement it in new use cases by up to 90% , reduce total ownership costs (technology, development and maintenance) by up to 30% and minimize the risks posed by data governance .
Qlik Data Products, a paradigm shift in data management
The unified Qlik Talend Cloud platform combines the highest standards of data integration, transformation, quality and governance, unlocking the true potential of data and driving AI innovation to enable smarter decision making.
This solution introduces Data Products, a new data management paradigm that allows data to be treated as a real consumer product. In this way, it combines different elements into a single, reliable, domain-centric, consumable unit, bridging the gap between data producers and consumers.