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Modernize Data Infrastructure for Enhanced Business Intelligence

sphereinc.com

Business services

Information technology

Challenges

The client is facing challenges with inefficient reporting workflows, siloed data sources across Quickbase and Excel, and scalability issues hindering proactive decision-making and timely access to key performance indicators (KPIs). Manual data processing is time-consuming and prone to errors, resulting in delayed insights and a reactive approach to business challenges.

About the Client

A leading experience provider specializing in [hypothetical industry - e.g., travel, entertainment] solutions, experiencing rapid growth and a need for improved data-driven decision-making.

Objectives

Automate reporting workflows to reduce manual data processing time.
Establish a unified view of business performance by integrating data from disparate sources.
Improve data accessibility by providing real-time self-service dashboards.
Ensure the data infrastructure can scale to accommodate future growth and increasing data complexity.
Empower leadership with actionable insights for better decision-making.

Functional Requirements

Automated ETL pipelines from Quickbase and Excel.
Real-time data dashboards and reporting.
Self-service data exploration and analysis.
Scalable data storage and processing.
Data governance and security features.

Preferred Technologies

Azure

Databricks

Power BI

Required Integrations

Quickbase
Excel

Non-Functional Requirements

Scalability to handle increasing data volumes.
High performance for real-time data processing and visualization.
Data security and access control.
Reliability and availability.

Expected Business Impact

By implementing a modern data architecture, the client expects to reduce manual data processing time by 80%, gain real-time access to KPIs, eliminate data silos, ensure future scalability, and ultimately empower leadership to make more data-driven decisions, leading to improved operational efficiency and business growth.