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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. But integrating data isn’t easy.

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Top 10 business needs driving IT spending today

CIO Business Intelligence

They’re also spending on data and analytics projects as a way to become more efficient, drive productivity, and support profitability. Rasmussen and others acknowledge that this year’s list of business drivers may seem like a break from past years’ priorities, where transformation generally dominated. 13, respectively.

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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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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. All three must align business and data-management strategies, complemented by streamlined data and analytics capabilities.”

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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.

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The Never-Ending Evolution of Data Governance

erwin

A great example of this is seen in new business drivers that are in alignment with data governance programs and strategies. To this day, data governance is critical to improving analytics, decision-making and regulatory compliance. Continuing to improve data governance speaks to its never-ending evolution.

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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.