[vc_row full_width=”stretch_row” full_height=”yes” css=”.vc_custom_1680766727372{margin-top: -25px !important;background-color: #000000 !important;}” _et_uniqid=”et_custom_uniqid_new_642e76fdbe31d”][vc_column][vc_row_inner][vc_column_inner width=”1/2″][vc_custom_heading text=”Prescriptive analytics” font_container=”tag:h2|text_align:left|color:%23ffffff” google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][vc_custom_heading text=”Prescribes the best course of action when making complex decisions involving tradeoffs between business goals and constraints, using optimization technology” font_container=”tag:h4|text_align:justify|color:%23ffffff” google_fonts=”font_family:Muli%3A300%2C300italic%2Cregular%2Citalic|font_style:400%20regular%3A400%3Anormal” css=”.vc_custom_1620474107901{margin-top: 50px !important;}”][vc_btn title=”Contact Us” style=”custom” custom_background=”#0354e9″ custom_text=”#ffffff” i_align=”right” i_icon_fontawesome=”fas fa-long-arrow-alt-right” add_icon=”true” link=”url:https%3A%2F%2Fglobalturner.com%2Fcontact-2%2F|title:Contact%20Us|target:_blank” css=”.vc_custom_1680766085749{margin-top: 50px !important;}”][/vc_column_inner][vc_column_inner width=”1/2″][vc_single_image image=”17593″ img_size=”full” style=”vc_box_border”][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row css=”.vc_custom_1680452787761{margin-top: 50px !important;margin-bottom: 50px !important;}” _et_uniqid=”et_custom_uniqid_new_6429ac9f90b00″][vc_column width=”1/2″][vc_custom_heading text=”Prescriptive Analytics Definition” font_container=”tag:h2|text_align:left|color:%23000000″ google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][vc_custom_heading text=”Prescriptive analytics is a statistical method used to generate recommendations and make decisions based on the computational findings of algorithmic models.
For learning analytics, this could range from simple automated recommendations made to employees who are taking online training, to recommendations that indicate how instructors or course designers can improve the design of a course or program.
At present, prescriptive analytics is not widely used in the field of learning & development due to the complex requirements needed in the field of machine learning. It can be found in adaptive learning and also within some learning experience platforms (LXP).” font_container=”tag:p|text_align:justify|color:%23000000|line_height:1.7em” google_fonts=”font_family:Muli%3A300%2C300italic%2Cregular%2Citalic|font_style:400%20regular%3A400%3Anormal” css=”.vc_custom_1620474339354{margin-top: 50px !important;}”][/vc_column][vc_column width=”1/2″][vc_single_image image=”16940″ img_size=”full” style=”vc_box_border” css=”.vc_custom_1680766679588{margin-top: 50px !important;}”][/vc_column][/vc_row][vc_row css=”.vc_custom_1680452844855{margin-bottom: 50px !important;}” _et_uniqid=”et_custom_uniqid_new_6429ace640b7a”][vc_column][vc_custom_heading text=”Benefits” font_container=”tag:h2|text_align:left|color:%23000000″ google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][vc_row_inner][vc_column_inner width=”1/3″ css=”.vc_custom_1620475105866{border-right-width: 10px !important;border-right-color: #0354e9 !important;}”][bsf-info-box icon_type=”custom” icon_img=”id^17600|url^http://www.routeget.com/wp-content/uploads/2021/05/prescriptiveanalytics-icon3.png|caption^null|alt^null|title^prescriptiveanalytics-icon3|description^null” img_width=”” title=”Mitigate risks” heading_tag=”h4″ title_font=”font_family:Raleway|font_call:Raleway” desc_font=”font_family:Raleway|font_call:Raleway”]

Gain insight into how decisions can have business-wide impacts and hedge against data uncertainty.

[/bsf-info-box][/vc_column_inner][vc_column_inner width=”1/3″ css=”.vc_custom_1620475146202{border-right-width: 10px !important;border-right-color: #0354e9 !important;}”][bsf-info-box icon_type=”custom” icon_img=”id^17598|url^http://www.routeget.com/wp-content/uploads/2021/05/prescriptiveanalytics-icon1-1.png|caption^null|alt^null|title^prescriptiveanalytics-icon1 (1)|description^null” img_width=”” title=”Improve operations” heading_tag=”h4″ title_font=”font_family:Raleway|font_call:Raleway” desc_font=”font_family:Raleway|font_call:Raleway”]

Optimize product planning, reduce inefficiencies, drive smarter operational decision-making.

[/bsf-info-box][/vc_column_inner][vc_column_inner width=”1/3″ css=”.vc_custom_1620475226448{border-right-width: 10px !important;}”][bsf-info-box icon_type=”custom” icon_img=”id^17599|url^http://www.routeget.com/wp-content/uploads/2021/05/prescriptiveanalytics-icon2-1-1.png|caption^null|alt^null|title^prescriptiveanalytics-icon2 (1) (1)|description^null” img_width=”” title=”Manage resources more efficiently” heading_tag=”h4″ title_font=”font_family:Raleway|font_call:Raleway” desc_font=”font_family:Raleway|font_call:Raleway”]

Better utilize: capital, personnel, equipment, vehicles and facilities.

[/bsf-info-box][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_custom_heading text=”How does prescriptive analytics work?” font_container=”tag:h2|text_align:left|color:%23000000″ google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][vc_row_inner][vc_column_inner width=”1/2″][vc_custom_heading text=”Generating automated decisions or recommendations requires specific and unique algorithmic models and clear direction from those utilizing the analytical technique. A recommendation cannot be generated without knowing what to look for or what problem is desired to be solved. In this way, prescriptive analytics begins with a problem.” font_container=”tag:p|text_align:justify|color:%23000000|line_height:1.7em” google_fonts=”font_family:Muli%3A300%2C300italic%2Cregular%2Citalic|font_style:400%20regular%3A400%3Anormal” css=”.vc_custom_1620475437541{margin-top: 50px !important;}”][vc_custom_heading text=”Example:The accuracy of a generated decision or recommendation, however, is only as good as the quality of data and the algorithmic models developed. What may work for one company’s training needs may not make sense when put into practice in another company’s training department.” font_container=”tag:p|text_align:justify|color:%23000000|line_height:1.7em” google_fonts=”font_family:Muli%3A300%2C300italic%2Cregular%2Citalic|font_style:400%20regular%3A400%3Anormal” css=”.vc_custom_1620475575690{margin-top: 50px !important;}”][/vc_column_inner][vc_column_inner width=”1/2″][vc_single_image image=”16938″ img_size=”full” style=”vc_box_border” css=”.vc_custom_1680766626865{margin-top: 60px !important;}”][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row]