These days, data is presented as one of the most valuable assets companies have. The management of the data, it’s the correct reading, and use generates important advantages for business and operations decisions.
In fact, according to Forbes, the ability to capitalize on information and data analysis “can make or break a business; And that is why big data, artificial intelligence, and predictive analytics make organizations today are fighting for an advantage, or fearing disruption. “
Having an analytical advantage is essential. And companies are looking for it. The results of one study reveal what the bottom line is: 58% of leading analytics companies saw a direct correlation between data analytics initiatives and “significant improvement” in their competitive positions.
In fact, 60% of these organizations reported revenue growth of more than 7%, while more than a quarter of the analytical elite reported revenue growth of more than 15%. On the contrary, 18% of the companies called “followers” registered income increases below 5%.
PowerData data management maximizing customer insight is a major challenge for an increasing number of companies, who must work to become a data-driven organization and operate with the increasing complexity of data sources – customer complaints, employee feedback, sales and account management reviews, profit and loss data, market research, transactional information, general and industry surveys, online customer forums, etc.
In this field of data management and analytics, the consulting firm Gartner envisions a series of clear trends for the next 3 to 5 years. For example:
Investing in data and analytics projects is almost a strategic imperative in today’s context. But if the essential reasons were to be outlined, they could be synthesized as follows:
It is clear that by achieving analytical maturity, companies reach a stronger competitive position. Developing successful processes in the field of data management and analytics leads to improving the customer experience and optimizing the processes themselves.
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