Aspire Systems Case Studies Architecting and Implementing a Data Lake for a Big5 Consulting Firm

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	Architecting and Implementing a Data Lake for a Big5 Consulting Firm Aspire Systems

Architecting and Implementing a Data Lake for a Big5 Consulting Firm

Aspire Systems

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Education Equipment & Machinery
Use Cases	Movement Prediction Predictive Maintenance
Services	Data Science Services System Integration
Challenge	Our customer, a Big5 Consulting Firm, wanted to digitize their business operations and needed a partner to do a technical proof of concept on Cortana analysis suite (CAS's) data lake set of offerings. They needed to bring in data from multiple cloud tenants into a single location, run descriptive and predictive analytics on the data, establish a regular schedule and data organization, and have one consolidated version of data points. Read More
About Customer	The customer is a part of a global network of professional services firms providing audit, tax, and advisory services. They operate in Australia and were looking to digitize their business operations. Read More
Customer Name	Not disclosed Read More
Solution	Aspire Systems provided a solution by analyzing the requirements and bringing in data from different sources into Data Lake Store using Data Factory. They used U-SQL for descriptive analytics and Azure Machine Learning (ML) for predictive analytics. Azure Data Factory was used to create multiple data pipelines for data orchestration and scheduling. The Cortana analysis suite (CAS) and Azure ML provided an integrated set of components and an extensive set of algorithms, reducing the need for external sources. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Education

Equipment & Machinery

Use Cases

Movement Prediction

Predictive Maintenance

Services

Data Science Services

System Integration

Challenge

Our customer, a Big5 Consulting Firm, wanted to digitize their business operations and needed a partner to do a technical proof of concept on Cortana analysis suite (CAS's) data lake set of offerings. They needed to bring in data from multiple cloud tenants into a single location, run descriptive and predictive analytics on the data, establish a regular schedule and data organization, and have one consolidated version of data points.

About Customer

The customer is a part of a global network of professional services firms providing audit, tax, and advisory services. They operate in Australia and were looking to digitize their business operations.

Customer Name

Not disclosed

Solution

Aspire Systems provided a solution by analyzing the requirements and bringing in data from different sources into Data Lake Store using Data Factory. They used U-SQL for descriptive analytics and Azure Machine Learning (ML) for predictive analytics. Azure Data Factory was used to create multiple data pipelines for data orchestration and scheduling. The Cortana analysis suite (CAS) and Azure ML provided an integrated set of components and an extensive set of algorithms, reducing the need for external sources.

Benefit #1	The solution became a natural extension of the customer's existing investments, improving their overall operational efficiency and enabling them to make data-driven decisions. However, specific quantitative benefits are not mentioned in the provided content.

Benefit #1

The solution became a natural extension of the customer's existing investments, improving their overall operational efficiency and enabling them to make data-driven decisions. However, specific quantitative benefits are not mentioned in the provided content.

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Overview

Architecting and Implementing a Data Lake for a Big5 Consulting Firm

Quantitative Benefit