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Supercharging Your Digital Transformation with Embedded Analytics

Sisense

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Become data-driven to succeed.

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The What & Why of Data Governance

erwin

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. Based on digital processes, smava compares loan offers from more than 20 banks. In this way, borrowers can choose the deals that are most favorable to them in a fast, digitalized, and efficient way.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub.

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Why The Public Sector Needs Data Governance

Alation

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.