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Data management crucial for business survival – opinion

Organizations need to manage vast amounts of data from a variety of sources. The data that flows into organizations includes financial data, customer data, sales data, social media campaign data, marketing data, and more.

In these complex times, good data management can provide a significant competitive advantage, enabling organizations to make better-informed decisions, improve business efficiency and enhance the customer experience.

Every organization today has the ability to collect vast amounts of data from a variety of sources. For example, retail companies use purchase data to understand customer preferences, financial companies analyze market data to predict future trends, and even government agencies use data to improve public services. Good data management can turn this information into business gold, but the process is not easy.

Building independent data pipelines requires extensive maintenance and high expertise. Often, data teams primarily manage these processes rather than advancing the organization’s business goals.

This is where special tools for data pipeline management come into the picture.

These tools offer several key benefits: business focus and reduced maintenance.

Dedicated data pipeline management tools offer easier maintenance and greater flexibility for changes and upgrades. In contrast, internal systems require ongoing, often complex maintenance. In addition, these tools enable data teams to focus on more creative and innovative work, maximizing employee potential and driving better business outcomes.

It goes without saying that during difficult times or economic crises, organizational manpower can be significantly reduced. Therefore, it is crucial to manage data efficiently through a single platform that allows for easy, efficient management and consolidation.

This ensures that the organization continues to function smoothly and efficiently despite the reduced manpower. Data pipeline management tools enable the organization to continue to use data effectively, even with fewer available resources.

Let’s not forget about the improvement in data security: Advanced data pipeline management tools provide higher levels of security, including access control and authentication. This ensures that sensitive organizational data is stored safely and prevents data leaks.

How does all this relate to artificial intelligence? The data pipeline field is starting to show impressive innovations with the use of Generative AI technology, which accelerates the process of building data pipelines in the organization. With Generative AI, data pipelines can be generated automatically and quickly, saving the data teams a lot of time and effort.


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Another key benefit is the ability to solve previously challenging complex problems, such as supporting a wide range of data sources. Modern data pipeline management tools that integrate Generative AI can support a wide range of data sources. This technology helps organizations stay competitive and address rapidly changing market challenges.

In conclusion, nowadays, when organizations are dealing with huge amounts of diverse data, the use of dedicated data pipeline management platforms becomes essential and crucial. In an era of workforce reduction, these tools become even more crucial to ensure the continued smooth functioning of the organization.

Good data management using special tools can lead to organizational success and continuous improvement of business performance. Organizations that use these tools can enjoy significant competitive advantages and be better prepared for the challenges and opportunities of the digital market.

The author is head of innovation at Rivery.



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