Broken Trust and Outdated IT
Posted: Thu Feb 13, 2025 4:11 am
Despite this, organizations are not investing enough to build up the skills of their workforce. Only 44% are reskilling existing resources, while 33% are recruiting new employees. Companies will have to take on a greater role in educating and upskilling their employees around AI and Data Management / analytics if they want to keep up with the current pace of advancements in the field. Those that rely on the marketplace to change the skills of their workforce risk being left behind.
Only 22% of organizations trust their own germany whatsapp number data data, and more than half (56%) of executives don’t make managing data a high investment priority. Data can be a company’s greatest asset, but only if it is accessible, responsibly managed, and secured. It’s estimated that by 2025 the world will store 200 zettabytes of data, and if nothing changes, companies will continue struggling to harness the tremendous volume of data at their disposal. In addition to the lack of employees who can engineer and analyze the data, 86% of organizations say their tech is inadequate or outdated, which also hinders them from effectively using their data.
Creating data literacy programs for employees would result in the models and output from data analytics being more widely understood and interpretable across the organization, thereby improving confidence in the data. Avoiding any inconsistencies in the data is also important to building and maintaining trust. Get rid of data mismatches by creating one dataset or “single source of truth” to streamline data sources.
Only 22% of organizations trust their own germany whatsapp number data data, and more than half (56%) of executives don’t make managing data a high investment priority. Data can be a company’s greatest asset, but only if it is accessible, responsibly managed, and secured. It’s estimated that by 2025 the world will store 200 zettabytes of data, and if nothing changes, companies will continue struggling to harness the tremendous volume of data at their disposal. In addition to the lack of employees who can engineer and analyze the data, 86% of organizations say their tech is inadequate or outdated, which also hinders them from effectively using their data.
Creating data literacy programs for employees would result in the models and output from data analytics being more widely understood and interpretable across the organization, thereby improving confidence in the data. Avoiding any inconsistencies in the data is also important to building and maintaining trust. Get rid of data mismatches by creating one dataset or “single source of truth” to streamline data sources.