The data democratization in relationship-oriented data analysis, which is the latest approach in data analytics, enables business users to access data and capture insights from connected data.
Data science is a constantly developing field and one of the best challenges for this field is to make data accessible for all business users as well as data and IT experts. This approach is called data democratization* and works efficiently through self-service analytics and BI systems, but what about the analytic systems that are defined as more “complex”? Can the same “democratization” be applied to these systems as well?
Datateam’s main goal is to develop functional products and services for all business users. We take the data democratization approach for our relationship-oriented data analytics systems, which provide solutions for the detection of illicit connections, as well as business intelligence and reporting products. Therefore, we aim to provide users to combine their field experiences with the technology and capture more valuable insights without the need for advanced technical knowledge. We bring cutting-edge technology and users involved in the business processes together.
Relationship-oriented data analytics systems should analyze data from different sources to uncover the logical connection between these data. Hence, advanced technology is a must to achieve this goal, and the necessity of advanced technology is assumed as “complex” for business users. Thus, these systems are generally under the control of analysts and IT experts. By observing the power of bringing field experiences and advanced technology together to capture valuable insights, we enable business users to discover the unknown from connected data with Datactive.
How This Democratization Is Provided?
Making Data More Accessible
Datactive queries structured and unstructured data on their sources to solve the data management in the fastest way. By accessing all data sources directly including web services, Datactive makes data analyzable for the end-user and enables them to capture the details with a single click.
Zero-Code Approach
System resilience provides users to add functions and features dynamically without coding. Users can add entities and features in line with their analysis objective quickly on the management panel. Under normal circumstances, this process may be complicated and time-consuming. DQL, the query language developed completely by us, makes this process easier.
User-Friendly Interface
Not only adding various features but also making these features easily accessible is the crucial point during the development process of Datactive. Advanced network visualization screen and data discovery through this screen with a single click is important for data democratization. Hence, various sectors such as law enforcement and financial institutions can easily take the advantage of relationship-oriented data analytics.
Data Democratization in Crime Detection for Law Enforcements
Making data accessible for law enforcement together with the data democratization approach is a breakthrough for crime analysis methods. Law enforcement experts, who have advanced field experience and are capable of all the dynamics of investigation practically, can carry out their investigations comprehensively by taking the advantage of a strong software solution. Therefore, they uncover the hidden connections instantly by analyzing the wide variety of high-volume data, and this provides an outstanding success for crime detection.
Data Democratization in Relationship-Oriented Data Analytics for Financial Crime Detection
Fraudsters use indirect methods to hide, and they know how to bypass rules-based systems. Hence, financial companies prefer relationship-oriented data analysis methods to traditional rule-based systems to catch the hidden points. Compliance departments take the advantage of this method, for example, to detect money laundering. Since the system is used directly by compliance professionals, it provides an integrated solution for financial crime detection. A comprehensive relationship-oriented system that is adopted for regulation technologies also reduces false positives when compared to rule-based systems.
In summary, Datactive for crime intelligence and RegTech systems help business professionals to reach effective results by saving time. We bring the advanced technology together with the users who take an active role in the business processes.