Remove Business Driver Remove Data-driven Remove Metrics
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How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

Its a business imperative, says Juan Perez, CIO of Salesforce. CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. Its a CIOs job to prioritize data privacy and ethical use, and ensure innovation doesnt outpace safeguards, he says.

Risk 105
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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

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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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Using Data to Adapt Your Workforce

Sisense

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. Key to all this is data, and those organizations that are data-driven have been on the leading edge of these changes. Using data today to build tomorrow’s workforce.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

Financial planning and analysis are usually categorised by a multitude of data sources, slow manual processes, and long planning cycles, which are out of step with the speed of the business. Covid-19’s impact on business has completely changed the forecasts and outlook for organisations both large and small.

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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. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.