Spon­sored by: ERPFixers
Volatil­i­ty and com­plex­i­ty are the new nor­mal. Most com­pa­nies are far from where they want and need to be when it comes to imple­ment­ing ana­lyt­ics and are still rely­ing on gut feel­ing, rather than hard data, when mak­ing deci­sions. What is need­ed today is the seam­less inte­gra­tion of man­age­r­i­al method­olo­gies. Ana­lyt­ics with sta­tis­tics, includ­ing regres­sion and cor­re­la­tion analy­sis, pro­vide orga­ni­za­tions with insights to make bet­ter deci­sions and take actions. Busi­ness intel­li­gence (BI) report­ing con­sumes stored data that is trans­formed into infor­ma­tion. Busi­ness ana­lyt­ics pro­duces new infor­ma­tion from the trans­formed infor­ma­tion. There is a com­mon mis­con­cep­tion that equates busi­ness intel­li­gence (BI) tech­nolo­gies, such as query and report­ing tech­niques, with advanced ana­lyt­ics like data min­ing and fore­cast­ing. But in prac­tice expe­ri­enced ana­lysts don’t use BI like search­ing for a dia­mond in a coal mine and flog­ging the data until it con­fess­es with the truth. Ana­lysts require easy and flex­i­ble access and manip­u­la­tion of data and soft­ware to sup­port their inves­ti­ga­tion and discovery.This pre­sen­ta­tion by Gary Cokins, a lead­ing prac­ti­tion­er and author will cover:

• Learn­ing why busi­ness ana­lyt­ics and lever­ag­ing Big Data pro­vide a com­pet­i­tive advantage.
• Under­stand­ing the dif­fer­ence between busi­ness intel­li­gence (BI) and busi­ness analytics.
• How to imbed sta­tis­tics and ana­lyt­ics into enter­prise per­for­mance man­age­ment (EPM) methods.
• How to dif­fer­en­ti­ate fore­cast­ing from pre­dic­tive modeling.
• Learn­ing alter­na­tive approach­es to accel­er­at­ing the adop­tion rate of busi­ness analytics.

Speak­er:
Gary Cokins, Pres­i­dent, Ana­lyt­ics-Based Per­for­mance Man­age­ment LLC