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CLOSED SCOPE PROJECTS
The starting point for an efficient digital transformation strategy is the application of new analytical and cognitive models capable of providing actionable intelligence in real time on the new data sources available to companies.
Incorporating data analysis from a variety of sources – such as social networks, sensors (data streaming), call centers, and more – into decision making has become a key factor in ensuring competitiveness and operational efficiency.
To reach the expected value from this new data, we need to know:
What are the important data for the business;
How to access and verify the sources;
How to apply analysis and models;
How to adapt processes according to information;
How to present results so we can view, explore, or connect them.
This new flow around data requires structural transformations. The weight of intuition in decision making will be replaced by the results of data analysis. With this, new opportunities will emerge from the information obtained and companies will be able to count on areas formed by data analysis specialists, who should be profoundly aware of the business and the possibilities of technology.
The results of data analysis act dynamically on the company’s operational processes and business. And when data is turned into assets, its governance is guaranteed.