際際滷shows by User: researchmoz1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: researchmoz1 / Tue, 07 Jul 2015 12:55:48 GMT 際際滷Share feed for 際際滷shows by User: researchmoz1 Dietary supplements market in Poland 2015 Development forecasts for 2015-2020 /slideshow/dietary-supplements-market-in-poland-2015-development-forecasts-for-20152020/50255535 dietarysupplementsmarketinpoland2015developmentforecastsfor2015-2020-150707125548-lva1-app6891
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]]> Tue, 07 Jul 2015 12:55:48 GMT /slideshow/dietary-supplements-market-in-poland-2015-development-forecasts-for-20152020/50255535 researchmoz1@slideshare.net(researchmoz1) Dietary supplements market in Poland 2015 Development forecasts for 2015-2020 researchmoz1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dietarysupplementsmarketinpoland2015developmentforecastsfor2015-2020-150707125548-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Dietary supplements market in Poland 2015 Development forecasts for 2015-2020 from Shrikant Mandlik
]]> 144 5 https://cdn.slidesharecdn.com/ss_thumbnails/dietarysupplementsmarketinpoland2015developmentforecastsfor2015-2020-150707125548-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to 2021 /slideshow/sports-analytics-market-shares-strategy-and-forecasts-worldwide-2015-to-2021/49830725 sportsanalyticsmarketsharesstrategyandforecastsworldwide2015to2021-150625125044-lva1-app6892
The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere. Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems? Lets start with the story of Babe Ruth. The Babe used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the Babe would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the Babe out and Babe Ruth could hit with ease, winning the game defying the statisticians. So, Babe Ruth used sports analytics in the 1930s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics. Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called Curse of the Bambino. John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for business to organize and manage teams. Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal. Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate]]>
The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere. Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems? Lets start with the story of Babe Ruth. The Babe used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the Babe would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the Babe out and Babe Ruth could hit with ease, winning the game defying the statisticians. So, Babe Ruth used sports analytics in the 1930s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics. Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called Curse of the Bambino. John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for business to organize and manage teams. Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal. Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate]]> Thu, 25 Jun 2015 12:50:44 GMT /slideshow/sports-analytics-market-shares-strategy-and-forecasts-worldwide-2015-to-2021/49830725 researchmoz1@slideshare.net(researchmoz1) Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to 2021 researchmoz1 The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere. Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems? Lets start with the story of Babe Ruth. The Babe used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the Babe would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the Babe out and Babe Ruth could hit with ease, winning the game defying the statisticians. So, Babe Ruth used sports analytics in the 1930s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics. Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called Curse of the Bambino. John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for business to organize and manage teams. Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal. Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sportsanalyticsmarketsharesstrategyandforecastsworldwide2015to2021-150625125044-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The 2015 study has 472 pages, 177 tables and figures. Worldwide markets are poised to achieve significant growth as the cloud computing for utility infrastructure and the tablets and smart phone communications systems make training information more cogent and more available, remaking all sporting everywhere. Information services will leverage automated process to leverage cloud computing: services The value of sports analytics is the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. What to measure? What real time information is the best? Can the players game the analytics systems? Lets start with the story of Babe Ruth. The Babe used to come to every at bat with the desire to win the game. So early in the game, aware that at the end of the game it would fall on him to win the game, the Babe would deliberately strike out on pitches that he really could hit. Later in the game, the pitcher would remember the pitches that had gotten the Babe out and Babe Ruth could hit with ease, winning the game defying the statisticians. So, Babe Ruth used sports analytics in the 1930s in reverse, hoping to entice the pitcher to throw that very pitch he could hit in a tight situation later in the game. His very success illustrates that in sports analytics sophistication is needed. For sports analytics to track Babe Ruth, it would have been necessary to look at the pitches he could hit at the end of the game, not just everything that came at him. How sophisticated is that? You have to know your players to do good sports analytics. Babe Ruth is at the center of one of the sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003, had not won a world series since Babe Ruth was sold to New York, the so called Curse of the Bambino. John Henry, a financial analytics wizard came along and purchased the Boston Red Sox along with other partners and he took the team to three world series using sports analytics as the dominant force for running the team and building fan enthusiasm. Sports become the model for predictive business decision making. Business has been reorganized among teams, inspired by sports. Analytics, developed by businesses are finding innovative use in sports, leading to models for business to organize and manage teams. Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal. Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate
Sports Analytics: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to 2021 from Shrikant Mandlik
]]> 531 6 https://cdn.slidesharecdn.com/ss_thumbnails/sportsanalyticsmarketsharesstrategyandforecastsworldwide2015to2021-150625125044-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Latest Research on UK Loyalty to Retailers Industry Trend and Analysis Share 2014 /slideshow/latest-research-on-uk-loyalty-to-retailers-november-2014/41442150 loyaltytoretailers-uk-november2014-141112005925-conversion-gate02
Whilst the consumer has long sought to be treated as an individual and not simply as a collective, there remains an opportunity for retailers to further tailor their offerings to their customers individual needs. Further development of digital technology, such as smartphone apps, is likely to make this more possible, as it will allow retailers to engage more directly with their shopper and create a truly personalised service.]]>
Whilst the consumer has long sought to be treated as an individual and not simply as a collective, there remains an opportunity for retailers to further tailor their offerings to their customers individual needs. Further development of digital technology, such as smartphone apps, is likely to make this more possible, as it will allow retailers to engage more directly with their shopper and create a truly personalised service.]]> Wed, 12 Nov 2014 00:59:25 GMT /slideshow/latest-research-on-uk-loyalty-to-retailers-november-2014/41442150 researchmoz1@slideshare.net(researchmoz1) Latest Research on UK Loyalty to Retailers Industry Trend and Analysis Share 2014 researchmoz1 Whilst the consumer has long sought to be treated as an individual and not simply as a collective, there remains an opportunity for retailers to further tailor their offerings to their customers individual needs. Further development of digital technology, such as smartphone apps, is likely to make this more possible, as it will allow retailers to engage more directly with their shopper and create a truly personalised service. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loyaltytoretailers-uk-november2014-141112005925-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Whilst the consumer has long sought to be treated as an individual and not simply as a collective, there remains an opportunity for retailers to further tailor their offerings to their customers individual needs. Further development of digital technology, such as smartphone apps, is likely to make this more possible, as it will allow retailers to engage more directly with their shopper and create a truly personalised service.
Latest Research on UK Loyalty to Retailers Industry Trend and Analysis Share 2014 from Shrikant Mandlik
]]> 242 5 https://cdn.slidesharecdn.com/ss_thumbnails/loyaltytoretailers-uk-november2014-141112005925-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Air Care - US - August 2014 Research Report /slideshow/air-care-us-august-2014-research-report/38088104 aircare-us-august2014-140818064157-phpapp02
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]]> Mon, 18 Aug 2014 06:41:57 GMT /slideshow/air-care-us-august-2014-research-report/38088104 researchmoz1@slideshare.net(researchmoz1) Air Care - US - August 2014 Research Report researchmoz1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aircare-us-august2014-140818064157-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Air Care - US - August 2014 Research Report from Shrikant Mandlik
]]> 269 4 https://cdn.slidesharecdn.com/ss_thumbnails/aircare-us-august2014-140818064157-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-researchmoz1-48x48.jpg?cb=1523488534 https://cdn.slidesharecdn.com/ss_thumbnails/dietarysupplementsmarketinpoland2015developmentforecastsfor2015-2020-150707125548-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dietary-supplements-market-in-poland-2015-development-forecasts-for-20152020/50255535 Dietary supplements ma... https://cdn.slidesharecdn.com/ss_thumbnails/sportsanalyticsmarketsharesstrategyandforecastsworldwide2015to2021-150625125044-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sports-analytics-market-shares-strategy-and-forecasts-worldwide-2015-to-2021/49830725 Sports Analytics: Mark... https://cdn.slidesharecdn.com/ss_thumbnails/loyaltytoretailers-uk-november2014-141112005925-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/latest-research-on-uk-loyalty-to-retailers-november-2014/41442150 Latest Research on UK ...