988 - Semalt Shares a Secret on How to OBecome Successful in the Bid Data World

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23.05.2018 ong>Semaltong> ong>Sharesong> A ong>Secretong> On How To Become Successful In The Bid Data World In the world of business, business analysis has often been considered to be in the realm of left-brained analysts, while the qualitative jobs, such as advertising and marketing, the realm of right-brained creative kinds. These two activities, though both essential to the success of the business, hardly speak the same language. Igor Gamanenko, the Customer Success Manager of ong>Semaltong> Digital Services, states that the tide of big data has altered the status quo. The creators of this big data are by all de nitions the up and coming generation. They live out their lives on social media, having practically all their everyday activities recorded in text messages, digital photos and their playlists as well as their preferences captured by internet cookies. They converse in text-speak, emoji and memes, all transmitted digitally and transformed to data, which is essentially encoded in bits and bytes. This form of digital marketing data, spawned by digital and social media has brought these two activities together. Therefore, to be successful, business managers of this age have to learn to speak in geek as well as strategy and the syntax of both styles is data. https://rankexperience.com/articles/articleong>988ong>.html 1/2

23.05.2018<br />

<str<strong>on</strong>g>Semalt</str<strong>on</strong>g> <str<strong>on</strong>g>Shares</str<strong>on</strong>g> A <str<strong>on</strong>g>Secret</str<strong>on</strong>g> On <strong>How</strong> To<br />

Become <strong>Successful</strong> In The <strong>Bid</strong> <strong>Data</strong><br />

<strong>World</strong><br />

In <strong>the</strong> world of bus<strong>in</strong>ess, bus<strong>in</strong>ess analysis has often been c<strong>on</strong>sidered <strong>to</strong> be <strong>in</strong> <strong>the</strong> realm of left-bra<strong>in</strong>ed analysts,<br />

while <strong>the</strong> qualitative jobs, such as advertis<strong>in</strong>g and market<strong>in</strong>g, <strong>the</strong> realm of right-bra<strong>in</strong>ed creative k<strong>in</strong>ds. These two<br />

activities, though both essential <strong>to</strong> <strong>the</strong> success of <strong>the</strong> bus<strong>in</strong>ess, hardly speak <strong>the</strong> same language.<br />

Igor Gamanenko, <strong>the</strong> Cus<strong>to</strong>mer Success Manager of <str<strong>on</strong>g>Semalt</str<strong>on</strong>g> Digital Services, states that <strong>the</strong> tide of big data has<br />

altered <strong>the</strong> status quo. The crea<strong>to</strong>rs of this big data are by all de niti<strong>on</strong>s <strong>the</strong> up and com<strong>in</strong>g generati<strong>on</strong>. They live out<br />

<strong>the</strong>ir lives <strong>on</strong> social media, hav<strong>in</strong>g practically all <strong>the</strong>ir everyday activities recorded <strong>in</strong> text messages, digital pho<strong>to</strong>s<br />

and <strong>the</strong>ir playlists as well as <strong>the</strong>ir preferences captured by <strong>in</strong>ternet cookies.<br />

They c<strong>on</strong>verse <strong>in</strong> text-speak, emoji and memes, all transmitted digitally and transformed <strong>to</strong> data, which is essentially<br />

encoded <strong>in</strong> bits and bytes. This form of digital market<strong>in</strong>g data, spawned by digital and social media has brought<br />

<strong>the</strong>se two activities <strong>to</strong>ge<strong>the</strong>r. Therefore, <strong>to</strong> be successful, bus<strong>in</strong>ess managers of this age have <strong>to</strong> learn <strong>to</strong> speak <strong>in</strong><br />

geek as well as strategy and <strong>the</strong> syntax of both styles is data.<br />

https://rankexperience.com/articles/article<str<strong>on</strong>g>988</str<strong>on</strong>g>.html 1/2


23.05.2018<br />

If you do not want your bus<strong>in</strong>ess <strong>to</strong> be left out, you need <strong>to</strong><br />

embrace data democracy. Big data has become <strong>the</strong><br />

lifeblood of bus<strong>in</strong>ess activities, thus giv<strong>in</strong>g rise <strong>to</strong> a new<br />

democracy of data. It is open sourced and crowd sourced.<br />

Also, its volume and variety are great, mak<strong>in</strong>g it dif cult <strong>to</strong><br />

ma<strong>in</strong>ta<strong>in</strong> <strong>the</strong> traditi<strong>on</strong>al report<strong>in</strong>g process which<br />

essentially delivers data <strong>in</strong> a well-de ned process.<br />

Instead, bus<strong>in</strong>ess analysts need <strong>to</strong> deploy self-service<br />

analytics <strong>to</strong> make sure <strong>the</strong> fr<strong>on</strong>t l<strong>in</strong>e managers get <strong>the</strong> data <strong>the</strong>y require <strong>to</strong> make decisi<strong>on</strong>s and take valid acti<strong>on</strong>s.<br />

With larger volumes of data available <strong>in</strong> a form that is less processed, a bus<strong>in</strong>ess can implement data governance,<br />

analytics, security and report<strong>in</strong>g as guard rails <strong>to</strong> ensure <strong>the</strong> <strong>in</strong>formati<strong>on</strong> keeps ow<strong>in</strong>g securely and accurately.<br />

Marketers have had <strong>to</strong> learn <strong>the</strong> new syntax of data and<br />

analytics. It is no l<strong>on</strong>ger enough <strong>to</strong> target cus<strong>to</strong>mers based<br />

<strong>on</strong> static demographics. They now need <strong>to</strong> learn how <strong>to</strong><br />

identify and react <strong>to</strong> emerg<strong>in</strong>g behavior patterns and<br />

preferences that <strong>the</strong>y glean from <strong>the</strong> digital footpr<strong>in</strong>ts of<br />

<strong>the</strong>ir cus<strong>to</strong>mers.<br />

Similarly, analysts are now learn<strong>in</strong>g <strong>the</strong> language of<br />

market<strong>in</strong>g and how it can translate <strong>in</strong><strong>to</strong> cus<strong>to</strong>mer<br />

behaviors and preferences that may be measured and<br />

analyzed. In this way, both marketers and analysts can jo<strong>in</strong>tly develop data report<strong>in</strong>g and analytic models that t <strong>the</strong><br />

requirements for both back end data and fr<strong>on</strong>t end report<strong>in</strong>g. for it.<br />

Most cus<strong>to</strong>mer objectives are very uid, and thus cannot be captured <strong>in</strong> a xed set of speci cati<strong>on</strong>s. They are<br />

ephemeral objects that come and go, much like ocean waves, and <strong>in</strong> most cases, <strong>the</strong> wave is g<strong>on</strong>e l<strong>on</strong>g before a<br />

report is generated and delivered.<br />

Therefore, if you want <strong>to</strong> be successful <strong>in</strong> <strong>the</strong> c<strong>on</strong>temporary world of Big <strong>Data</strong>, you need <strong>to</strong> learn how <strong>to</strong> <strong>in</strong>tegrate<br />

quantitative processes such as bus<strong>in</strong>ess analytics and data science with <strong>the</strong> qualitative process, for <strong>in</strong>stance,<br />

market<strong>in</strong>g strategy and decisi<strong>on</strong> analysis. By do<strong>in</strong>g this, you will set yourself up for success <strong>in</strong> <strong>the</strong> new digital<br />

landscape.<br />

https://rankexperience.com/articles/article<str<strong>on</strong>g>988</str<strong>on</strong>g>.html 2/2

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