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How to Create a Successful Real-time Dashboard

Juice Analytics

Real-time dashboards provide a single view to the most important performance metrics for an organization. In addition to key success metrics, real-time dashboards may show detailed data about the action “on the ground.” Business drivers Your dashboard should express a well-understood structure of the business.

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Top 10 business needs driving IT spending today

CIO Business Intelligence

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. This is the common theme among most technology leaders,” she says. 13, respectively.

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Using Data to Adapt Your Workforce

Sisense

At this time, it might be tempting to let the HR side of your metrics go. Metrics can be used to measure the eventual success of hires, where they came from, what channels are positively correlated with eventual job success, the right mix of skills to deliver maximum productivity, and a lot more.

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

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. A recent Experian survey found that 55% of business leaders don’t trust their data assets, hindering their ability to be fully data driven.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

Spend time forecasting what matters: Identify Key Business Drivers. It is critical to understand the key drivers of Revenue and Expenses and how they interrelate. By identifying five to 10 key business drivers before starting the planning process, you greatly enhance the relevance and achievability of your plan.

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Announcing data filtering for Amazon Aurora MySQL zero-ETL integration with Amazon Redshift

AWS Big Data

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. For this reason, the company has identified zero-ETL as a potential solution.

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

The Unofficial Google Data Science Blog

Over the life of the forecast, the data scientist will publish historical accuracy metrics. But due to the long time lag between forecasts and actuals, these metrics alone are insufficient. Every forecast update will include metrics to provide insight on change drivers, and will flag significant gaps between different model forecasts.