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How to Solve Data Management Challenges

In the world of digital marketing the need for clean, accurate data is essential to create targeted campaigns and automated systems that nurture leads to become customers. Without the appropriate tools, processes, and procedures in place the business could encounter a variety of data management issues that could lead to costly missteps.

One of the most significant problems with managing data is addressing poor and inconsistent processes across the entire enterprise. Inadequate management of data can lead to mistakes and inefficiencies that can affect the company’s overall efficiency and effectiveness. If it’s data loss, security breaches, poor quality data or slow access to vital information, poor data management can have severe consequences for the business.

Businesses can overcome these obstacles by adopting a holistic approach to data-management that takes into account the entire data ecosystem. This approach integrates technological solutions like data integration platforms, analytics software, and organizational change such as process improvement and training. Incorporating natural language processing (NLP) and machine learning models and other solutions for managing data can help transform unstructured data into usable, structured data, automate processes, and improve overall efficiency.

Rockwool International is a global manufacturer and supplier of stone wool solutions, which include wall and facade systems and industrial and technical insulation. Data management challenges affected its global growth. The company was required to improve data flow as well as reduce siloed systems to achieve a single view of product and supplier master data while adhering to international regulations. It implemented Informatica Intelligent Cloud Integration Services to create a unified platform of global data management and to accelerate its digital transformation.

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