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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. One of the fields that is leveraging data analytics to educate employees is the engineering and architecture sector.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. Introduction. You’ve got a new boss. And she is numbers driven – great! What should I track?

Metrics 130
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QA Teams Need All-in-One Data Analytics Platforms for Testing

Smart Data Collective

Data analytics is an invaluable part of the modern product development process. Advances in data analytics have raised the bar with QA standards. Companies need to invest in higher quality data analytics solutions to make the most of their QA methodologies. Companies are using big data for a variety of purposes.

Testing 106
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Start DataOps Today with ‘Lean DataOps’

DataKitchen

In short, Lean DataOps is the fastest path to DataOps value. The pipelines and workflows that ingest data, process it and output charts, dashboards, or other analytics resemble a production pipeline. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities.

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GKN Aerospace — Journey to integrated business planning

IBM Big Data Hub

This manual process often led to errors and delays. This prompted the finance director to authorize the development of a more robust and accurate solution. What departments are Planning Analytics used for? Currently, Planning Analytics (formerly TM1 ) is being utilized in several departments within the organization.

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How process mining improves IT service management to save your business time and money

IBM Big Data Hub

Similarly with ticket reopens: if a ticket is reopened after being resolved, it indicates the need to address an issue with training or IT resources. Although AI and machine learning are often touted as the solution to all problems, it’s important to understand that automating a flawed process can make things worse.

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Skills and Tools Every Data Engineer Needs to Tackle Big Data

Sisense

As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. Data Warehousing.