Let's understand this relationship better. For modern companies with a data-focused culture , one of the best ways to generate value from this information is through the construction of models and other tools that automate decision-making processes, making them more efficient and effective.
However, to build these models and tools, a large volume of historical information is always required. This data is used in training and statistically validating the predictions and suggestions offered by these techniques. Obtaining a relevant amount of quality historical data is always one of the biggest challenges for all companies.
BigDataCorp’s data sandbox is the solution to this problem. It allows access to large volumes of historical information quickly and easily, enabling the automation of sophisticated processes with great assertiveness and quality in decision-making. Next, we will see how the sandbox can positively impact your business.
Summary
What is data sandbox?
What are the main uses of data sandbox?
How do companies or businesses benefit from data sandboxing?
Discover the advantages of data sandboxing
With insights from BDC, the data sandbox is your data science team's playground
What is data sandbox?
The sandbox , as the name explains, is a “sandbox”, a playground where anyone who wants to perform an exploratory analysis of BigDataCorp data can play with this information in a way that is isolated from production environments.
In addition to allowing access to large volumes of data in a simpler and faster way than the conventional API, the sandbox also represents a significant cost reduction compared to the direct use of the API to retrieve historical information.
It was designed as a data delivery mechanism kuwait whatsapp number code aimed at meeting the demands and needs of researchers, data science and statistical modeling teams, and teams working on the development of artificial intelligence.
But it can also be used by any area of the company to discover how data can improve their processes and day-to-day activities.
What are the main uses of data sandbox?
The main uses of the sandbox are:
Building and backtesting statistical models (credit, fraud, risk, etc.): Models are built using historical information to train these models. With the sandbox, BDC, for example, delivers data from the period the client wants, charging less than if the client were to consume this data via a conventional API.
Building and validating customer review and approval flows: As with statistical models, customer review flows need to be tested and validated against historical data to assess the impact of checks on approval outcomes. With the sandbox, customers can access historical data to analyze how checks have impacted the business.
Development of artificial intelligence models: The availability of large volumes of data is one of the bottlenecks for building artificial intelligence models of all types. With the sandbox, customers can access the large volumes of data they need at a much lower cost.
Historical data backfill: Customers often need historical information to fill gaps in their databases – whether to meet audit requirements or perform more sophisticated data analysis. With sandboxing, these customers can access the historical data they need at a lower cost and with a simpler integration process.
How do companies or businesses benefit from data sandboxing?
In addition to the financial advantage of being able to access a large volume of historical data at a lower cost than queries, via the API or file exchange, the sandbox also brings a series of operational benefits to its users.
The historical data access mechanism facilitates the integration of this data into any DevOps, MLOps or AIOps flow in a simple and direct way, exponentially increasing its potential within organizations and making it part of their day-to-day operations.
Additionally, the sandbox provides a faster and more efficient way to access the volumes of data needed for model development and other more advanced predictive and prescriptive analytics work on past information. It simplifies the process of exploring, testing, and validating data within organizations.
Discover the advantages of data sandboxing
As explained, the sandbox is a delivery method for information from BigDataCorp's data platform, which allows customers to access a large volume of historical data at a reduced price.
Credit bureaus, data science areas, statistical modeling, registry management, or even data science consultancies are the types of clients that benefit most from the resources provided by the sandbox.
We have already mentioned several advantages that this data delivery mechanism brings to customers, but we will highlight the main ones below:
Simplification of exploratory data analysis – instead of establishing an endless and inconvenient flow of tests and proof-of-concept processes that are run by exception by companies, the sandbox allows the integration of a relevant volume of data in the initial stages of attribute exploration and data evaluation, with low cost and operational efficiency;
Reduced cost of testing and model validation – with the sandbox, companies can integrate the use of historical data into their MLOps and model deployment processes, without relying on special data requests to validate the models built, and without additional data purchase costs;
Accelerate the training and development of data science teams – with the sandbox, your company has access to a historical data environment that can be integrated into the training process for new employees, providing the possibility of testing new techniques and learning the modeling steps on a real data set, at a reduced cost;
With insights from BDC, the data sandbox is your data science team's playground
As we have seen, the data sandbox is one of the best solutions for testing systems and other functionalities. It is a true playground for data science teams to exercise their creativity.
Therefore, it is essential to rely on those who have the technology and expertise to help your team undertake a more productive journey in the data sandbox. BDC is the only datatech that guarantees 100% of the origin of the data and has the most complete data catalog on the market.
Our information is identified, non-sensitive and public. Therefore, it is fully compliant with the LGPD and other privacy legislation.