Trends that shape the future of data analysis

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At the beginning of 2020, it seemed unlikely that organizations would continue to invest heavily in analytics, so it is clear that the pandemic has been an accelerator in the transition towards a data culture for business leaders, since they have understood that the already established Big Data represents a great differential value compared to the competition. Therefore, it is not surprising that many companies have already implemented big data initiatives at a department or company level.

Furthermore, by 2025, the world is expected to generate 463 exabytes per day. Imagine how much value there is in that sentence. As decision-makers within a company turn their attention to data analytics, they can take advantage of the trends shaping the future of analytics, which we look at below.

– As we just discussed, the world is expected to sri lanka whatsapp resource generate 463 exabytes per day by 2025 and this figure will continue to grow, so companies must ensure they have trained and qualified personnel with the right skills to support advanced data analysis initiatives across the company.

Note: At Tecon Soluciones Informáticas we are going to collaborate in the Master's Degree in Continuing Education in Business Analytics in a Digital Environment at UCLM, in which we have more than 60% of the teaching staff. All the information here:

– Data and analytics leaders must grapple with generating business outcomes from their current data-driven programs while simultaneously building an effective data and analytics organization that is fit for the future. To meet these challenges, such leaders must develop and take ownership of a data and analytics strategy .

– Define models that create a single source of truth for the enterprise. For example, some companies use sophisticated data modeling capabilities to create enterprise-grade semantic models within business intelligence data sets, which are then visualized in reports and dashboards. This requires leveraging technologies such as cloud and machine learning to achieve scale and speed and to forge strategic alliances with service providers to fill gaps in their internal capabilities.