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Advanced Data Analysis Techniques for Enhanced Insight in Business Strategy

Discover the latest advanced data analysis techniques designed to unlock insights and enhance strategic decision-making in your business. In this comprehensive guide, you will learn various methods, including predictive analytics, machine learning algorithms, and data visualization tools. Implementing these techniques can significantly improve your understanding of customer behavior, market trends, and operational efficiency, ultimately leading to better business outcomes. Stay competitive and informed by leveraging the power of data analytics.

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Advanced Data Analysis Techniques for Enhanced Insight in Business Strategy

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  1. Ukkxfjd pkVZj laLFkku dk ifjp;

  2. laLFkku dh vofLFkfr% • tuin bVkok eq[;ky;@jsyos LVs'ku ls eSuiqjh :V ij bVkok ls yxHkx 21 fdeh0 dh nwjh ij lM+d ekxZ ij lSQbZ dLcs esa LFkkfir gSA bVkok jsyos LVs'ku gkoMk&ubZ fnYyh eq[; jsy ekxZ ij fLFr gS vFkkZr ns'k dh jkt/kkuh fnYyh o jkT; dh jkt/kkuh y[kuÅ ls tqMk gqvk gSA

  3. laLFkku dh LFkkiuk ds mn~ns';% • xzkeh.k vapy esa fuokl djus okyh 80 izfr'kr xzkeh.k turk dks Hkh 'kgjksa dh Hkk¡fr fof'k"V xq.koRrk;qDr vR;k/kqfud fpfdRlh; lqfo/kk;sa miyC/k djk;k tkuk eq[;r% mn~ns'; gSA bl fpfdRlky; dh LFkkiuk bVkok ls layXu tuinksa ;Fkk vkSjs;k] eSuiqjh] ,Vk] fQjkstkckn] vkxjk] Q:Z[kkckn] fHk.M ¼,e0ih0½ ds tuinksa esa fuokl djus okyh xzkeh.k turk dks ftUgsa fof'k"V bykt gsrq vHkh rd fnYyh o y[kuÅ tkuk iM+rk gS dks lLrk o fo'oluh; mPp Lrjh; bykt lqyHk gqvk gSA bl laLFkku dh LFkkiuk dk lEiw.kZ Js; iwoZ eq[;ea=h Jh eqyk;e flga ;kno dks tkrk gS] ftUgksaus dh bldh ifjdYiuk dhA

  4. laxBukRed <kWpk%'kklh fudk; 'kklh fudk; esa fuEufyf[kr O;fDr gkasxsa vFkkZr%& ¼d½ v/;{k ¼[k½ iz[;kr dqyk/;{k ¼x½ funs'kd ¼?k½ izeq[k lfpo @ lfpo] mRrj izns'k ljdkj] fpfdRlk f'k{kk foHkkx&insu ¼M+½ izeq[k lfpo@ lfpo] mRrj izns'k ljdkj] foRr foHkkx& insu ¼;½ egkfuns'kd] fpfdRlk f'k{kk] mRrj izns'k& insu ¼N½ egkfo|ky;ksa ds izpk;kZx.k ¼t½ jkT; fo/kku e.My dk lnL; tks ml fo/kku lHkk fuokZpu {ks= dk izfrfuf/kRo dj jgk gks] ftlesa laLFkku fLFkr gksA ¼>½ laln dk lnL; tks ml lalnh; fuokZpu {ks= dk izfrfuf/kRo dj jgk gks] ftlesa laLFkku fLFkr gksA ¼´½ ;Fkkfofgr jhfr ls pØkuqØe esa uke fufnZ"V fd;s tkus okys nks O;fDr] tks laLFkku es foHkkxk/;{k gksaA ¼V½ ;Fkkfofgr jhfr ls p;fur fd;s tkus okys laLFkku ds v/;kidksa esa ls nks O;fDrA ¼B½ v/;{k }kjk uke fufnZ"V fd;s tkus okys nks O;fDr

  5. foRr lfefr ¼d½ funs'kd tks lfefr dk lHkkifr Hkh gksxkA ¼[k½ izeq[k lfpo@ lfpo] mRrj izns'k ljdkj] fpfdRlk f'k{kk foHkkx ;k mudk uke funsZf'krh] tks fo'ks"k lfpo dh Js.kh ds uhps dk u gksA ¼x½ izeq[k lfpo@ lfpo] mRrj izns'k ljdkj] foRr foHkkx ;k mudk uke funsZf'krh] tks fo'ks"k lfpo dh Js.kh ds uhsps dk u gksA ¼?k½ nks O;fDr ftudk uke&funsZ'ku 'kklh fudk; }kjk vius lnL;ksa esa ls fd;k tk;sxkA ¼M+½ dk;kZikyd dqy lfpoA ¼p½ foRr fu;a=d tks lfefr dk lfpo Hkh gksxkA

  6. VsfDudy dksj desVh • funs'kd] vkj0vkbZ0,e0,l0] lSQbZ bVkok v/;{k • funs'kd] ,l0th0ih0th0vkbZ0] y[kuÅ lg v/;{k • egkfuns'kd] fpfdRlk f'k{kk ,oa izf'k{k.k] m0iz0] y[kuÅ lnL; • izksQslj ,oa foHkkxk/;{k lEcf/kr fo'ks"kKrk vkj0vkbZ0,e0,l0 lSQbZ bVkokA lnL; • izksQslj ,oa foHkkxk/;{k lEcf/kr fo'ks"kKrk] ,l0th0ih0th0vkbZ0] y[kuÅA lnL;

  7. cksMZ vkQ LVMht] ,ukVeh foHkkx 1- Mk0 ,l0 ,u0 flga] ,dsMfed ,DliVZ] vkpk;Z ,oa foHkkxk/;{k] ,ukVeh foHkkx] th0,l0oh0,e0 esfMdy dkyst] dkuiqjA 2- Mk0 fouksn dqekj] vkpk;Z ,oa foHkkxk/;{k ,oa dUosuj] ,ukVeh foHkkx] th0,l0oh0,e0 esfMdy dkyst] dkuiqjA 3- Mk0 fuR;kuUn JhokLro] lgk0 vkpk;Z ,oa foHkkxk/;{k] ,ukVeh foHkkx] ;w0ih0 fjEl ,.M vkj] lSQbZ bVkokA 4- Mk0 t;Ur oekZ] ysDpjj] ,ukVeh foHkkx] ;w0ih0 fjEl ,.M vkj] lSQbZ bVkokA

  8. cksMZ vkQ LVMht] fQft;ksykWth foHkkx 1- Mk0 lq’kek xqIrk] dUosuj ,oa foHkkxk/;{k] fQft;ksykWth foHkkx] th0,l0oh0,e0 esfMdy dkyst] dkuiqjA 2- Mk0 ,l0 ,u0 flga] vkpk;Z ,oa foHkkxk/;{k] fQft;ksykWth foHkkx] th0,l0oh0,e0 esfMdy dkyst] dkuiqjA 3- Mk0 ,l0 Hkwfu;k] esEcj ,oa vkpk;Z] fQft;ksykWth foHkkx] ;w0ih0 fjE; ,.M vkj] lSQbZ bVkokA 4- Mk0 ,l0 ds0 lUr] esEcj ,oa vflLVsUV izksQslj] fQft;ksykWth foHkkx] ;w0ih0 fjE; ,.M vkj] lSQbZ bVkokA 5- Mk0 dhfrZ tSloky] esEcj ,oa ysDpjj] fQft;ksykWth foHkkx] ;w0ih0 fjEl ,.M vkj] lSQbZ bVkokA s

  9. cksMZ vkQ LVMht] ck;ksdSesLVªhss foHkkx • Mk0 vt; dqekj] dUosuj] vkpk;Z ,oa foHkkxk/;{k] ck;ksdSesLVªh foHkkx] th0,l0oh0,e0 esfMdy dkyst] dkuiqjA • Mk0 dYos tkokn] vkpk;Z ,oa foHkkxk/;{k] ck;ksdSesLVªh foHkkx] ;w0ih0 fjEl ,.M vkj] lSQbZ bVkokA • Mk0 vkfny jgeku] lgk;d vkpk;Z] ck;ksdSesLVªh foHkkx] ;w0ih0 fjEl ,.M vkj] lSQbZ bVkokA • Mk0 ,l0,u0 flga] vkpk;Z ,oa foHkkxk/;{k] iSFkksykWth foHkkx th0,l0oh0,e0 esfMdy dkyst] dkuiqjA

  10. xzhokUl ,.M foftysUl • Mk0 ts0 ,u0 iqjh] izksQslj ,oa foHkkxk/;{k] QkekZdksykWth foHkkx] v/;{k xzhokUl ,.M foftysUlA

  11. vf/kdkfj;ksa dk fooj.k • funs'kd • vij funs”kd iz”kklu • foRr vf/kdkjh • fpfdRlk v/kh{kd • ys[kk vf/kdkjh • iz'kklfud vf/kdkjh • lgk;d ys[kkf/kdkjh • dk;kZy; v/kh{kd • fofHkUu foHkkxks ds foHkkxk/;{k@ izHkkjh vf/kdkjh

  12. fofHkUu dk;ksZ ds mRrjnk;h@i;Zos{k.k gsrq ukfer vf/kdkjh%

  13. fu.kZ; izfdz;k esa lfEefyr vf/kdkfj;ksa dk fooj.k%

  14. vf/kdkfj;ksa ,oa deZpkfj;ksa dh lsok 'krsZ% • laLFkku dh lsok “krsZ ,l0th0ih0th0 vkbZ0 ,oa ,El ds iSVuZ ij ykxw gSA

  15. tu lwpuk ds vUrZxr ukfer tu lwpuk vf/kdkjh@ vihysV dk fooj.k% • Jh d`’.k xksiky] I vihysV vf/kdkjh • Mk0 pUnzohj flag] tu lwpuk vf/kdkjh • Jh ,l0ds0 flag pUnsy] lgk;d tu lwpuk vf/kdkjh

  16. Hkouksa ds uke o ,fj;k

  17. vfrfFk;ksa o deZpkfj;ksaa gsrq miyC/k izoklh; lqfo/kk

  18. lapkfjr ikB;Øeksa ds uke

  19. Nk=ksa] deZpkfj;ksa o vf/kdkfj;ksa dh dqy la[;k

  20. vkmVlkslZ ,tsUlht ds uke

  21. lqj{kk O;oLFkklqj{kk O;oLFkk HkwriwoZ lSfud dY;k.k fuxe fy0 }kjk dh tkrh gS mudk fooj.k fuEuor gSA

  22. gkfLiVy dh csM {kerk

  23. lapkfyr foHkkx

  24. vks0ih0Mh0 esa vkus okys jksfx;ksa dh la[;k

  25. ,EcqysUl

  26. jksfx;ks o vf/kdkfj;ksa ,oa deZpkfj;ksa gsrq ifjogu O;oLFkk • jksfx;kssa ds fy, ,EcqysUl dh lqfo/kk iznku dh tkrh gS rFkk dk;kZy; dk;Z gsrq vf/kdkfj;ksa ,oa deZpkfj;ksa ds fy, laLFkku }kjk cl ,oa ek:rh oSu dh lqfo/kk miyC/k djk;h tkrh gSA

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