BIG DATA MANAGEMENT

Project Management: Data analysis and project success | What is data analysis in projects?

October 8, 2021

Project data analytics uses past and current project data to enable effective decisions on project delivery. All projects create data and this can be used to help project managers make choices about current and future projects. Project data analysis is all about being inquisitive and asking questions to find information but we must also interpret data in a meaningful way.

Spotlight

Big Data Intel

Big Data Intel (BDI) is an IT Staffing Firm that lives and breathes Data Science. We can help with staff augmenting an entire team for a FLC implementation, upgrade, or even maintaining your existing Data Solutions. With offices in the United States of America & Canada, we are able to leverage our talent pool and help customers in both countries. Our consultants show a lot of flexibility with the willingness to travel and/or relocate on-site. As a staffing company, we have helped build multiple teams that can carry out a Full Life Cycle implementation, or support an existing project. Below are the following areas BDI can help you in: Business Intelligence, Customer Analytics, Financial Analytics, Operational Analytics,Risk Analytics.

OTHER VIDEOS

Data Analytics for Trust Law Firm

video | July 2, 2022

Data Analytics is the process of sorting through massive amounts of information to find valuable trends in your law. Artificial intelligence makes it possible to take huge stacks of data and break it down into easily digestible visuals. Analytics motivates staff to become more efficient....

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Seagate | Video Management and Data Analytics Use Case

video | June 22, 2022

Smart cars. Smart factories. Smart cities. Massive volumes of data are being used to improve safety, efficiency, and quality of life. But collecting, aggregating, and storing big data for deep analysis remains a challenge. In this video, you’ll learn why Seagate Lyve Cloud provides an ideal platform for the demands of video and analytics data....

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Atlas Copco Research School | Data Analytics for Higher Efficiency

video | July 1, 2022

Data analytics is a fast-growing area and in times to come this field will have a huge impact on society. Lifei Tang, a student working with Atlas Copco is doing research on trustworthy machine learning, both on the cloud and the edge. He shares insights about his work and how he aims to create software that can do data analytics like a human expert. His research is trying to combine machine learning with tightening and customers’ production data to create intelligent service which can help the production line. This will help customers improve their product quality and reduce the total time of production. Watch this video to know more....

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Conversational Insights the Next big thing in Data Analytics | Kea - Smart Data Analyst

video | June 28, 2022

The data engineering challenge of today’s digital organization is not in the Capturing and Storing of data. Rather it is in the ‘Analyze’ or the ‘Utility’ value of data. As most of the data storage, data integration, and analytics problems get commoditized, enterprises will have more data than ever before, capturing every byte that they have very less idea on how to use them. How do we effectively use the data for the right use cases to derive value?...

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Spotlight

Big Data Intel

Big Data Intel (BDI) is an IT Staffing Firm that lives and breathes Data Science. We can help with staff augmenting an entire team for a FLC implementation, upgrade, or even maintaining your existing Data Solutions. With offices in the United States of America & Canada, we are able to leverage our talent pool and help customers in both countries. Our consultants show a lot of flexibility with the willingness to travel and/or relocate on-site. As a staffing company, we have helped build multiple teams that can carry out a Full Life Cycle implementation, or support an existing project. Below are the following areas BDI can help you in: Business Intelligence, Customer Analytics, Financial Analytics, Operational Analytics,Risk Analytics.

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