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Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

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Top 10 business needs driving IT spending today

CIO Business Intelligence

More specifically, Rasmussen is boosting her spend on cybersecurity to help manage risk, a key element for enabling Ceridian’s planned global expansion. They’re being smart about where they spend their tech dollars,” says Dan Priest, managing partner for cloud and digital at professional services firm PwC. 13, respectively.

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7 sins of digital transformation

CIO Business Intelligence

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. In addition, business stakeholders often demand fast results. A perfectly built solution is of no value if it’s not designed around the users.”

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Even the COVID-19 pandemic and the acceleration to digital transformation — when data and data insights became two of the main business drivers — haven’t improved the situation.

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. Do we want to use the same visualization tools for each business?

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The Value of Data Governance and How to Quantify It

erwin

Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative. Risk Management and Regulatory Compliance.

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Data integration: The key to AI-supported planning systems

Jedox

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.