How to Leverage the Power of Alteryx Designer for Pharmaceutical Use Cases

How to Leverage the Power of Alteryx Designer for Pharmaceutical Use Cases 

Alte­ryx Desi­gner for Phar­maceu­ti­cal Use Cases 
Alte­ryx Desi­gner is a powerful tool sui­ted for many dif­fe­rent chal­lenges in the domain of data sci­ence. It deli­vers strong capa­bi­li­ties for data inges­ti­on, pre­pa­ra­ti­on (or wrang­ling), get­ting insights and dis­tri­bu­ting (or export­ing) them to the right places. All of this is not only available ad-hoc but can also be easi­ly auto­ma­ted and repli­ca­ted for re-occur­ring tasks. Desi­gner is indus­try-agno­stic and, howe­ver, very sui­ta­ble for use cases in the phar­maceu­ti­cal manu­fac­tu­ring space. 

Data Inges­ti­on and Pre­pa­ra­ti­on 
Take for exam­p­le the data inges­ti­on pro­cess. It is easy to import data from many dif­fe­rent sources, be it local data in Excel or Text for­mat or from cen­tral data sources like data­ba­ses and warehou­ses. With Alte­ryx Designer’s drag and drop capa­bi­li­ties and easy to use UI you are well sui­ted to acces­sing the data wit­hout nee­ding to con­sult with your IT depart­ment to pro­vi­de dedi­ca­ted extra­cts or the right for­mat. 

Fol­lo­wing the inges­ti­on pro­cess you can easi­ly mer­ge mul­ti­ple data sources by con­nec­ting them with the appro­pria­te tool and con­fi­gu­ring it with a cou­ple of clicks. This com­ple­te­ly avo­ids the need to learn lan­guages like SQL and gives any­bo­dy the capa­bi­li­ty to com­bi­ne the data sources nee­ded for ana­ly­sis. Desi­gner is capa­ble to hand­le very lar­ge data sets in the pro­cess. Far lar­ger than what you came to expect form Excel for exam­p­le. 

Cus­tom Tools 
Designer’s vast pre­pa­ra­ti­on capa­bi­li­ties can be exten­ded with cus­tom tools sui­ted for your spe­ci­fic use case. The­se can be packa­ged, dis­tri­bu­ted, and repli­ca­ted as so-cal­led macros. A macro can be con­side­red a “sub pro­ce­du­re” that is being cal­led from your “main pro­gram” but with the addi­ti­on of a user inter­face to con­fi­gu­re the spe­ci­fics of your needs in the con­cre­te use case. Don’t be foo­led though: a macro is still crea­ted in a visu­al envi­ron­ment you or your team can design by arran­ging and orchest­ra­ting tools in the form of a work­flow. A macro can have a cus­tom icon to be easi­ly iden­ti­fia­ble and the macro’s UI can be as lean or as com­plex as you or your team requi­re. 

Ana­ly­zing and Under­stan­ding 
After the data pre­pa­ra­ti­on you might want to ana­ly­ze and under­stand your data bet­ter. Desi­gner has a lot of tools available for that as well. Visua­liza­ti­on and report­ing capa­bi­li­ties satis­fy many needs out of the box. If you need more than that or have some spe­ci­fic requi­re­ments, it is a good idea to visit Alteryx’s acti­ve com­mu­ni­ty that can pro­vi­de you with a lot of pre-built solu­ti­ons (as work­flows or macros) that you can easi­ly use and inte­gra­te and tail­or to your needs. 

Dis­tri­bu­ti­on and Expan­si­on 
When it comes to results (tabu­lar or gra­phi­cal), you can easi­ly export or dis­tri­bu­te them whe­re you need them to be. Sto­ring them to disk, to data­ba­se or sen­ding them via email is only a con­fi­gu­ra­ti­on away. 

This way you can also orchest­ra­te addi­tio­nal soft­ware tools in com­bi­na­ti­on with Desi­gner. Whe­re Desi­gner has its strengths in the data pre­pa­ra­ti­on and the auto­ma­ti­on of said pro­ces­ses, a dash­boar­ding soft­ware like Spot­fi­re is more sui­ted towards a fle­xi­ble visua­liza­ti­on of the results. If you need your users to be able to “touch” the data, drill, zoom and explo­re in a more fle­xi­ble fashion, Spot­fi­re is per­fect­ly sui­ted for that. 

Both tools play stron­gly tog­e­ther and can be nice­ly inte­gra­ted: by trans­fer­ring data from one tool to the other as well as by being able to trig­ger func­tions in the other tool when nee­ded. 

The Big Pic­tu­re 
Your suite of data sci­ence tools con­ver­ges to enhan­ce their indi­vi­du­al fea­tures, ther­eby bols­te­ring your team’s capa­bi­li­ties, and ulti­m­ate­ly, pain­ting the big pic­tu­re of data sci­ence within your orga­niza­ti­on. Equip yours­elf with the appro­pria­te tools tail­o­red to each chall­enge. Once you and your solu­ti­ons are pre­pared, seam­less­ly tran­si­ti­on them to ser­vers for dis­tri­bu­ti­on, manage­ment, and auto­ma­ti­on. This ensu­res that the appli­ed data sci­ence, encap­su­la­ted within the­se tools, seam­less­ly inte­gra­tes into your organization’s pro­ces­ses. 


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