Dataiku Case Studies Faster, Higher Quality Dashboards for Better Customer Analysis

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	Faster, Higher Quality Dashboards for Better Customer Analysis Dataiku

Faster, Higher Quality Dashboards for Better Customer Analysis

Dataiku

Technology Category	Analytics & Modeling - Data-as-a-Service
Applicable Functions	Business Operation
Services	Data Science Services
Challenge	OVH, a global provider of hyperscale cloud services, was facing challenges with its dashboarding system. The business analysts responsible for disseminating data and insights to inform the commercialization and optimization of the website were spending more than 80% of their time on data preparation for the dashboard. The existing dashboard only provided basic, high-level metrics and did not combine different data sources for a complete view. This necessitated ad-hoc analysis, for which the analysts had little time. Additionally, the ETL process for the dashboard presented concerns for the data architects around data and insights quality, as there was a lack of transparency around exactly what data was being transformed and how. Read More
About Customer	OVH is a global provider of hyperscale cloud, which offers businesses a benchmark for value and performance in the sector. Founded in 1999, the group manages and maintains 27 datacentres in 12 sites across four continents, deploys its own global fibre optic network, and manages the entire supply chain for web hosting. Running on its own infrastructures, OVH provides simple, powerful tools for businesses, revolutionizing the way that more than 1 million customers work across the globe. Respect for individuals’ right to privacy and equal access to new technologies are central to the company’s values. Read More
Solution	OVH chose Dataiku Data Science Studio (DSS) to power their dashboards. With Dataiku, business analysts at OVH were able to connect directly to any number of data sources, combine data sources for more complete customer insights, and do data preparation work efficiently thanks to an intuitive visual interface and the automation of much of the process. This freed up their time for more creative and innovative ad-hoc analysis. Dataiku also gave data architects peace of mind, thanks to clear visualization of data flows, that analysts were working with quality data. Data scientists were also able to work directly with data prepared by analysts to apply machine learning techniques to other facets of the business more efficiently. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data-as-a-Service

Applicable Functions

Business Operation

Services

Data Science Services

Challenge

OVH, a global provider of hyperscale cloud services, was facing challenges with its dashboarding system. The business analysts responsible for disseminating data and insights to inform the commercialization and optimization of the website were spending more than 80% of their time on data preparation for the dashboard. The existing dashboard only provided basic, high-level metrics and did not combine different data sources for a complete view. This necessitated ad-hoc analysis, for which the analysts had little time. Additionally, the ETL process for the dashboard presented concerns for the data architects around data and insights quality, as there was a lack of transparency around exactly what data was being transformed and how.

About Customer

OVH is a global provider of hyperscale cloud, which offers businesses a benchmark for value and performance in the sector. Founded in 1999, the group manages and maintains 27 datacentres in 12 sites across four continents, deploys its own global fibre optic network, and manages the entire supply chain for web hosting. Running on its own infrastructures, OVH provides simple, powerful tools for businesses, revolutionizing the way that more than 1 million customers work across the globe. Respect for individuals’ right to privacy and equal access to new technologies are central to the company’s values.

Solution

OVH chose Dataiku Data Science Studio (DSS) to power their dashboards. With Dataiku, business analysts at OVH were able to connect directly to any number of data sources, combine data sources for more complete customer insights, and do data preparation work efficiently thanks to an intuitive visual interface and the automation of much of the process. This freed up their time for more creative and innovative ad-hoc analysis. Dataiku also gave data architects peace of mind, thanks to clear visualization of data flows, that analysts were working with quality data. Data scientists were also able to work directly with data prepared by analysts to apply machine learning techniques to other facets of the business more efficiently.

Impact #1	With Dataiku, OVH saw a 40 percent lift in the productivity of data scientists thanks in part to increased efficiency among data analysts.
Impact #2	Dataiku’s more efficient solutions for data preparation and data workflow monitoring contributed to the time savings.
Impact #3	Dataiku allowed for a faster time-to-market overall, accelerating OVH’s ability to go from data warehouse to meaningful business insights.

Impact #1

With Dataiku, OVH saw a 40 percent lift in the productivity of data scientists thanks in part to increased efficiency among data analysts.

Impact #2

Dataiku’s more efficient solutions for data preparation and data workflow monitoring contributed to the time savings.

Impact #3

Dataiku allowed for a faster time-to-market overall, accelerating OVH’s ability to go from data warehouse to meaningful business insights.

Benefit #1	40% increase in the productivity of data scientists.
Benefit #2	Significant time savings in data preparation and data workflow monitoring.
Benefit #3	Faster time-to-market for business insights.

Benefit #1

40% increase in the productivity of data scientists.

Benefit #2

Significant time savings in data preparation and data workflow monitoring.

Benefit #3

Faster time-to-market for business insights.

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Overview

Faster, Higher Quality Dashboards for Better Customer Analysis

Operational Impact

Quantitative Benefit