Datalabs
Empowering your data to Digital Transformation Journey
Francesco Isabelli, Managing DirectorClients of Datalabs are offered an efficient platform with functionalities such as data ingestion, data preparation, and data analysis profiling this simplifying the work of IT users and data engineers.
The platform also streamlines the data ingestion process by enabling data access via different sources such as RDBMS, NoSQL, and log, among others, which can then be easily uploaded into a data lake.
Business Islands™ is the head of Datalabs platform that allows access to all the information stored in the data lake by creating logical views of the data and certified the access of data. Additionally, Business Islands™ also extend its functionality by enabling the profiling, masking, and integration of the analytics process with the company’s security systems that can be deployed via cloud, on-premise, or on hybrid infrastructures.
Focusing on big data customers in the Italian enterprise market, Datalabs has successfully provided its services to businesses across many verticals ranging from banking and manufacturing to log management and document management. One of their many successful implementations has been for the Italian global banking and financial services company. For UniCredit, digitalization and the existence of a large number of applications had resulted in the generation of vast amounts of log data. Moreover, the lack of a deep understanding of the data generated made it difficult for them to analyze the log efficiently and predictive the actions. Through their Log Intelligence and Analysis solution (Datalabs LIMS), Datalabs created a data model by ingesting the login to their platform, to generate a correlation among the log data. “We also incorporated an algorithm into the data model that was capable of detecting anomalies and predictive in the log,” says Isabelli. Datalabs has similarly provided their data analysis and risk analysis and compliance solutions to several other prominent financial institutions in Italy, including Intesa Sanpaolo, Banco BPM and Banca Popolare di Sondrio.
By partnering with various system integrators (Deloitte, SopraSteria, Brain Management), the company plans to expand their capabilities, particularly in the energy and utility verticals for the manufacturing and healthcare industry. Moreover, since a majority of their customers have had issues relating to the complexity of logs, Datalabs also plans to further expand their capabilities in this area, especially in the technicality and data privacy aspects.
Having established a strong foothold in the Italian big data enterprise market, Isabelli says that the company plans to introduce their product into other European markets such as the UK and France, among others.
For a project, these days, data scientists spend more than 70 percent of their time in comprehending the data, and they usually struggle in leveraging the right data for their business
Focusing on big data customers in the Italian enterprise market, Datalabs has successfully provided its services to businesses across many verticals ranging from banking and manufacturing to log management and document management. One of their many successful implementations has been for the Italian global banking and financial services company. For UniCredit, digitalization and the existence of a large number of applications had resulted in the generation of vast amounts of log data. Moreover, the lack of a deep understanding of the data generated made it difficult for them to analyze the log efficiently and predictive the actions. Through their Log Intelligence and Analysis solution (Datalabs LIMS), Datalabs created a data model by ingesting the login to their platform, to generate a correlation among the log data. “We also incorporated an algorithm into the data model that was capable of detecting anomalies and predictive in the log,” says Isabelli. Datalabs has similarly provided their data analysis and risk analysis and compliance solutions to several other prominent financial institutions in Italy, including Intesa Sanpaolo, Banco BPM and Banca Popolare di Sondrio.
By partnering with various system integrators (Deloitte, SopraSteria, Brain Management), the company plans to expand their capabilities, particularly in the energy and utility verticals for the manufacturing and healthcare industry. Moreover, since a majority of their customers have had issues relating to the complexity of logs, Datalabs also plans to further expand their capabilities in this area, especially in the technicality and data privacy aspects.
Having established a strong foothold in the Italian big data enterprise market, Isabelli says that the company plans to introduce their product into other European markets such as the UK and France, among others.
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