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Cloud-Based Data Architecture

Self-Service Data Access

Self-service access to data empowers business users, increases organizational agility, improves data literacy, reduces IT workload, and streamlines decision-making.
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How to Empower Your Organization with Self-Service Data Access?

As C&F, we believe data democratization is critical to building a competitive advantage for our clients. That’s why we first focus on implementing user-friendly data visualization and BI tools that enable non-technical users to access and analyze data without IT intervention. We implement clear access policies and controls to maintain data security and integrity while providing users the flexibility they need to explore data. We provide seamless integration with existing data sources and platforms to ensure data from different sources is accessible and up to date on self-service platforms.

Reduction in IT workload

Reduce the burden on IT by minimizing ad hoc data requests, freeing up your IT resources for critical projects and infrastructure improvements.

Empowerment of business users

Empower business users by giving them the tools and data they need to make informed decisions without relying heavily on IT.

Enhanced Data Literacy and engagement

Provide self-directed data literacy tools to improve data literacy across the organization, and employees will become more comfortable and skilled at using data within their roles.

Improved decision-making

Provide direct access for decision makers to the data they need to make more accurate and timely decisions. Informed decisions are essential to gaining a competitive position in the market, and IT can play a crucial role in this.

Implementing self-service data access is the holy grail of IT departments. However, it is not always an easy task, so my priority is to implement solid data cleansing and integration processes to deliver reliable and accurate data to end users, which is extremely difficult when multiple data sources exist in different formats and standards. One of the most challenging aspects I encounter is integrating self-service data tools with existing IT infrastructure. Ensuring compatibility and smooth data flow between new and legacy systems can be complex and requires careful planning and execution. Using the proper integration platforms can alleviate some of these challenges, but it is still the most difficult part of the implementation.

Overview

Self-service data combines tools, technology, and business processes that empower data consumers to access data without intervention from specialists. Instead of requesting insights from specialized data teams, self-service data analytics empowers users to perform queries and generate reports on their own. This improves efficiency, speed of decision-making, and agility in an organization while fostering a data-driven culture. Our solutions combine various self-service analytics tools and self-service data platforms that make it easy and intuitive for non-technical users to access, analyze, and manipulate data assets. We also prioritize data governance policies with rules, access controls, and lineages to promote security and compliance.

Experts in the field

Piotr Daszczyński
Senior Solutions Architect
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Piotr Drozd
Senior Director
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