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4 Data-Driven Ways to Improve Employee Engagement

datapine

Also, a great way to collect employee engagement data is using Gallup’s Q12 survey , which consists of 12 carefully crafted questions that gauge the most crucial aspects of employee engagement. While there’s plenty you can do to boost engagement at work, the four ways discussed above are proven to be effective based on recent data.

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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data.

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What is a business analyst? A key role for business-IT efficiency

CIO Business Intelligence

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders. Washington, D.C.,

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Learn how the top Global 500 clients are solving their most pressing business problems

Decision Management Solutions

Decision Management Solutions provides solutions and services that help organizations make more data-driven decisions by applying advanced analytics, artificial intelligence (AI), business rules, and supporting technologies. Class Summaries. Operationalizing Machine Learning with DMN. Week of October 3, 2022 . Learn more or register.

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Dynamic DAG generation with YAML and DAG Factory in Amazon MWAA

AWS Big Data

Dynamic DAGs helps you to create, schedule, and run tasks within a DAG based on data and configurations that may change over time. By harnessing the power of YAML files and the DAG Factory library, we unleash a versatile approach to building and managing DAGs, empowering you to create robust, scalable, and maintainable data pipelines.

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Business process reengineering (BPR) examples

IBM Big Data Hub

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.