Unlocking the true potential of cloud data requires the right culture, talent, processes, and database. A robust database should provide easy and timely access to data that is integrated, reliable, and ready for analysis at scale. For most companies, the power of information is limited by an inadequate or non-existent database. As a result, data is locked on platforms that are often isolated, making it difficult for different types of data to work together. This makes it even more difficult for users to find and consume the right data to make the right decisions.
An efficient database has three fundamental characteristics: modern data engineering, AI-assisted data governance, and the democratization of data. Together, these characteristics help companies overcome some of the most common barriers to value: accessibility, reliability and availability of data. In a modern database, data is acquired from various sources (internal and external) and ways (batch, real-time, API) and assembled into highly curated and reusable data sets that can be consumed for a variety of purposes. analytical purposes. Thanks to the cloud, data arrives with lower latency to increase the speed of analysis.
When it comes to AI-assisted data governance, cloud-based artificial intelligence tools bring the advanced capabilities and scale to help automatically clean, classify, and secure data in the cloud. To support data ethics, cloud-based AI and automation can help govern how data is collected, stored, accessed and managed throughout its useful life. Advanced cloud technologies make it easy to catalog data so that it is better understood and can be properly classified. They even reveal the biases embedded in the data sets. In summary, advanced tools available from the cloud deliver confidence in the quality and reliability of data.
Regarding the democratization of data, a modern database makes data accessible and easy to use at the right time, while fueling multiple consumption models (self-service, data AI models, etc.). The latest cloud-based tools democratize data and allow more people in the business to easily find and consume the information that is relevant to their roles, faster. Also, the tools and technologies available in the cloud allow to obtain much more value from the data, since it is possible to combine more types of data, in real time and at scale, and apply advanced technologies, such as AI and machine learning, in a which is not possible in the company’s own facilities. Achieving all of this effectively would be unimaginable on legacy platforms.
To operate with speed, agility and scale; enhance human talent; enrich customer relationships; Access new markets and compete effectively, now is the time to adopt a modern database in the cloud. Data and cloud are the key tools for today’s businesses to grow, innovate and generate sustainable value.
Líder de Applied Intelligence de Accenture Argentina.
