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Denodo Technologies > Case Studies > Sicredi Enables Data Democratization and Self-Service with the Denodo Platform
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Sicredi Enables Data Democratization and Self-Service with the Denodo Platform

Technology Category
  • Analytics & Modeling - Data-as-a-Service
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Business Operation
Services
  • Data Science Services
  • System Integration
The Challenge
Sicredi, formed by 108 credit unions, has a large number of data systems and platforms that make up the backbone of its IT infrastructure. Each individual credit union, besides wanting to ensure that it was serving unique data needs for informed decision-making, also wanted to improve its time-to-market. Most data needs at Sicredi are fulfilled through dashboards, reports, and offline files, all of which is leveraged by data analysts to generate insights. Due to the siloed nature of these data assets, data analysts have been relying on extract, transform, and load (ETL) processes to consolidate data from different data systems, including a data warehouse, a data lake (on AWS), and several sandboxes, to create local data repositories, which takes a lot of data analyst time and requires additional storage systems. Most of the organization’s data was stored in the data warehouse and data lake, which delivered dashboards and reports to business intelligence and analytics applications. Sicredi needed an integrated data platform that could scale at demand and promote both data democratization and self-service for data and analytics, without the need to replicate data. Sicredi also wanted to implement data governance throughout the organization.
About The Customer
Sicredi, comprised of 108 different credit unions, is the biggest credit union in Brazil. As a cooperative system, Sicredi offers financial solutions to increase income and contribute to improving the quality of life of its members and society. Sicredi has more than 5 million associates spread across almost every state of Brazil, who participate in its business decision-making process. Overall, the union has more than $31 billion in assets and an employee base of more than 30 thousand.
The Solution
Sicredi deployed the Denodo Platform, which uses data virtualization to create a logical data layer that consolidates data from the data warehouse, data lake, flat files (CSV/Xls), web services (internal and external), and other sources. Since the Sicredi data warehouse is located on-premises and contains most of the data, the company decided to implement the Denodo Platform on-premises. This was the first step in the process to create a unified and integrated view of data for users. The Denodo Platform serving as a logical data fabric (LDF), consolidating data from disparate sources and making it available to consuming applications. In the long run, the LDF is expected to be the main data source for reports and dashboards, as well as for data delivery, through APIs, to several internal and partner applications. Additionally, Sicredi is leveraging the Denodo Platform’s data catalog to tag all data with business terms so that users can easily find the relevant data for themselves. The Denodo Platform has been instrumental not only in monitoring, but also in analyzing data traceability through its data lineage features, as well as in creating data-quality validations.
Operational Impact
  • With a logical data fabric (LDF) and a single data source for data consumers, BI teams are delivering data faster, bypassing the resource- and time-intensive ETL processes.
  • The Denodo Platform’s data catalog capabilities for helping users to find, understand, use, and manage relevant data assets, has been critical in realizing the goal of data democratization at Sicredi.
  • The Denodo Platform’s extensive out-of-the-box data adapters and support for various APIs and web protocols have enabled users to connect their favorite tools to the LDF with a minimum of effort, including Power BI, Excel, and several Notebooks.
Quantitative Benefit
  • The data delivery time is expected to be reduced by around 50-70% within the first year of the implementation of the Denodo Platform.

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