�ݺ�ߣshows by User: gstanley87

�ݺ�ߣshows by User: gstanley87 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: gstanley87 / Wed, 22 Feb 2017 17:57:11 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: gstanley87 Getting Your Team to Plan and Track Time. /slideshow/getting-your-team-to-plan-and-track-time/72470302 bricteampresentation-170222175711
If you manage a team of creative professionals — designers, developers, copywriters — you need to make sure that you plan and track time. This will increase your profitability, and employee engagement. Use this presentation to introduce Bric for planning and tracking time.]]>
If you manage a team of creative professionals — designers, developers, copywriters — you need to make sure that you plan and track time. This will increase your profitability, and employee engagement. Use this presentation to introduce Bric for planning and tracking time.]]> Wed, 22 Feb 2017 17:57:11 GMT /slideshow/getting-your-team-to-plan-and-track-time/72470302 gstanley87@slideshare.net(gstanley87) Getting Your Team to Plan and Track Time. gstanley87 If you manage a team of creative professionals — designers, developers, copywriters — you need to make sure that you plan and track time. This will increase your profitability, and employee engagement. Use this presentation to introduce Bric for planning and tracking time. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bricteampresentation-170222175711-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> If you manage a team of creative professionals — designers, developers, copywriters — you need to make sure that you plan and track time. This will increase your profitability, and employee engagement. Use this presentation to introduce Bric for planning and tracking time.

Getting Your Team to Plan and Track Time. from Bric — Project Planning and Time Tracking

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0 Big Data Research Methods – Contemporary Analysis /slideshow/big-data-research-methods-contemporary-analysis/39600124 c5gxbfkrqtqcm4k11shz-signature-5dc04db37534dca1d4785bf99272dbf9fed1ee6ff3ad11524ac3d1e1f4d651c6-poli-140927120457-phpapp01
We are turning more and more “work” over to computers. However, this comes with a lot of responsibility. As we automate work, the impact of bad policies and decisions grows exponentially. We need to be vigilant to make sure that our work produces accurate results using sound research methods. We need to remember that the process of research is as important as the results. It is easy to forsake methodology, as Big Data distances researchers from the research process, and puts the focus on data collection, storage, and processing. However, practicing solid methods is the best way to produce accurate results. During this presentation we will explore important research topics. For example we will explore the exponential increase in noise — spurious relationships — as the number of variables increase and time horizons narrow. We will also cover ways to detect and prevent spurious relationships in a Big Data context.]]>
We are turning more and more “work” over to computers. However, this comes with a lot of responsibility. As we automate work, the impact of bad policies and decisions grows exponentially. We need to be vigilant to make sure that our work produces accurate results using sound research methods. We need to remember that the process of research is as important as the results. It is easy to forsake methodology, as Big Data distances researchers from the research process, and puts the focus on data collection, storage, and processing. However, practicing solid methods is the best way to produce accurate results. During this presentation we will explore important research topics. For example we will explore the exponential increase in noise — spurious relationships — as the number of variables increase and time horizons narrow. We will also cover ways to detect and prevent spurious relationships in a Big Data context.]]> Sat, 27 Sep 2014 12:04:57 GMT /slideshow/big-data-research-methods-contemporary-analysis/39600124 gstanley87@slideshare.net(gstanley87) Big Data Research Methods – Contemporary Analysis gstanley87 We are turning more and more “work” over to computers. However, this comes with a lot of responsibility. As we automate work, the impact of bad policies and decisions grows exponentially. We need to be vigilant to make sure that our work produces accurate results using sound research methods. We need to remember that the process of research is as important as the results. It is easy to forsake methodology, as Big Data distances researchers from the research process, and puts the focus on data collection, storage, and processing. However, practicing solid methods is the best way to produce accurate results. During this presentation we will explore important research topics. For example we will explore the exponential increase in noise — spurious relationships — as the number of variables increase and time horizons narrow. We will also cover ways to detect and prevent spurious relationships in a Big Data context. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/c5gxbfkrqtqcm4k11shz-signature-5dc04db37534dca1d4785bf99272dbf9fed1ee6ff3ad11524ac3d1e1f4d651c6-poli-140927120457-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> We are turning more and more “work” over to computers. However, this comes with a lot of responsibility. As we automate work, the impact of bad policies and decisions grows exponentially. We need to be vigilant to make sure that our work produces accurate results using sound research methods. We need to remember that the process of research is as important as the results. It is easy to forsake methodology, as Big Data distances researchers from the research process, and puts the focus on data collection, storage, and processing. However, practicing solid methods is the best way to produce accurate results. During this presentation we will explore important research topics. For example we will explore the exponential increase in noise — spurious relationships — as the number of variables increase and time horizons narrow. We will also cover ways to detect and prevent spurious relationships in a Big Data context.

Big Data Research Methods – Contemporary Analysis from Bric — Project Planning and Time Tracking

]]> 844 5 https://cdn.slidesharecdn.com/ss_thumbnails/c5gxbfkrqtqcm4k11shz-signature-5dc04db37534dca1d4785bf99272dbf9fed1ee6ff3ad11524ac3d1e1f4d651c6-poli-140927120457-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-gstanley87-48x48.jpg?cb=1556403372 Grant Stanley is the CEO of Bric. He previously spent 8 years as the CEO of Contemporary Analysis. Contemporary Analysis specialized in providing predictive analytics to Fortune 500 companies and political campaigns. While he was at CAN, they developed solutions for healthcare, insurance, trucking, the railroad, and manufacturing. His experience developing CAN, has made him passionate about Bric’s mission to help creative professionals build great businesses by creating tools that meet the same demanding standards that creatives have for themselves. Grant graduated from the University of Nebraska at Omaha with a degree in Economics in only 2.5 years. He has also studied Mandarin Chinese... getbric.com https://cdn.slidesharecdn.com/ss_thumbnails/bricteampresentation-170222175711-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/getting-your-team-to-plan-and-track-time/72470302 Getting Your Team to P... https://cdn.slidesharecdn.com/ss_thumbnails/c5gxbfkrqtqcm4k11shz-signature-5dc04db37534dca1d4785bf99272dbf9fed1ee6ff3ad11524ac3d1e1f4d651c6-poli-140927120457-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/big-data-research-methods-contemporary-analysis/39600124 Big Data Research Meth...