How can you create external data-driven products and services that generate revenue and reduce costs? Should those be built in-house or based on dedicated analytics products? Tableau embedded analytics is the vehicle that can get your external solutions faster to market and start your journey towards data monetization. With Tableau embedded analytics, any organization can deliver more value to its customers by putting data that matters right at the front. Join this webinar to learn: - What is embedded analytics - What are the different levels of data monetization - Build vs. Buy? How Keyrus helped 3 different organizations to embed Tableau and gain a competitive edge - What opportunities are there to monetize Tableau’s new capabilities This webinar will be presented by Keyrus, a world-wide partner of Tableau Software, the leader in self-service Business Intelligence. As experts in Data Intelligence and the Tableau Software solution, Keyrus is dedicated to helping enterprises take advantage of the Data and Digital paradigm to enhance their performance, facilitate and accelerate their transformation, and generate new drivers of growth and competitiveness.
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As more and more data sources, platforms, and services become cloud-based the reasons for maintaining infrastructure to host a BI tool become less and less practical. Security and performance concerns are no longer the roadblocks they once were to many SaaS products, and ease of access for end users is significantly improved. This leaves many organizations with on-premises BI tools wondering if the move is right for them.
As part of its data analytics journey, an insurance company decided to migrate its data warehouse to Amazon Redshift Spectrum and wanted to take advantage of the new warehouse to upgrade its reporting system. Keyrus was brought in to start off this reporting migration and set the client up for success with Tableau.
Levallois-Perret, October 14, 2021 - An international player in consulting and technology as well as a Data and Digital specialist, Keyrus announces new goals in the market through a renewed and inspiring vision stemming from 25 years of expertise in data exploitation. Keyrus has also redesigned its visual identity, creating a new logo and slogan: “make data matter.”
In this pre-recorded webinar, we conduct a demo on the technical and business benefits of using Alteryx and Snowflake together as a modern strategy for cloud data analytics at scale.
Watch this 30-minute webinar showcasing how the Centre for Addiction and Mental Health (CAMH) used data and visual analytics to better understand and communicate the impact of COVID-19 on Canadians’ mental wellness.
In February 2020, the client created a new US company to better address their US business. This created new business processes, as well as a new instance of their ERP (SAP Business One, hereafter SAP B1). Consequently, their previously manual reporting process could no longer capture their entire business (Canada + USA). Compounding that with a lean IT team that has limited capacity to maintain complex data warehouses, and the demand for more sophisticated reporting, they were now in need of something more powerful, and considering Tableau as an option.
This second year of partnership between Keyrus Canada and HEC Montreal Data Science Club is off to a great start, with the participation of Elodie Palluet to the ''Women and Diversity in Data Science'' panel, organized in collaboration with IVADO.
Watch this webinar on-demand to learn how we use Alteryx to enable non data scientists to bring together different datasets and run those through machine learning algorithms to ensure the right promotional strategy is adopted across dynamic and complex retail systems without any coding.
Keyrus is proud to announce a partnership with the Quebec luxury brand, Maison Marie Saint Pierre. By collaborating with a brand applauded internationally for its savoir-faire and innovation, Keyrus ensures that its teams are provided with reusable protective masks of the highest quality.
Flexible data structures such as key-value pairs or more specifically entity-attribute-value (EAV), are a popular choice for many business applications. They allow for efficient storage (often in JSON format) in cases where the number of possible attributes for an entity is very large, but any given record only has data for a handful of them.