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BEST PRACTICES & STRATEGIES




             It’s all about understanding the

             connections between data



                                                                 Specialist  in  IT  technology  and  process  optimization
                                                                 are probably the best to bring these systems together
                                                                 and integrate them.

                                                                 If controlling is to meet the requirements of digital trans-
                                                                 formation,  it  must  be  able  to  look  to  the  future  –  with
                                                                 powerful analysis systems and the time gained through
                                                                 automation will be used in the future for forward-looking
                                                                 analysis, i.e., for "predictive analytics".

                                                                 There is a plethora of software tools capable of spotting
                                                                 patterns in vast amounts of data or making connections
            Data  is  now  an  important  part  of  a  company’s   between  seemingly  unrelated  data.  This  software  is
            assets  and  for  some  even  the  most  important   used not only to dare to make forecasts with the help of
            one.  It  is  not  about  collecting  as  much       the  appropriate  algorithms,  but  also  to  calculate  the
            information  as  possible,  but  about  converting   probability of occurrence of certain events and to deter-
            the "raw material" information into usable know-     mine the risk distribution.
            how:  knowledge  about  the  customers  and  their   Computers can now predict with relative accuracy who
            likes  and  dislikes,  knowledge  about  the  course   will cancel their newspaper or magazine subscription or
            of  business  processes  and  how  they  are         when  they  will  switch  insurers. The  art  of  looking  into
            controlled,  and  knowledge  about  which  friction   the future is not art, but the result of careful evaluation
            losses  must  be  avoided  to  increase  employee    and correct interpretation of huge amounts of data. In
            productivity.                                        order to be able to make forecasts about future devel-
                                                                 opments in the company, you need reliable data on the
            Analysts at Altimeter Group once delivered one of the   probability  of  occurrence  and  risk  distribution.  This  is
            best  definitions  of  digital  transformation  that  puts  this   the  only  way  to  create  reliable  scenario  calculations
            task as its core,  namely  the  "realignment of technolo-  and make decisions based on a stable database.
            gies and business models to enable collaboration with
            digital customers at every possible touch point with the   Unfortunately,  financial  planning  (profit  and  loss  ac-
            company and the customer relationship lifecycle.” This   count, balance sheet, cash flow) and operational plan-
            means  it’s  not  about  collecting  data,  but  about  being   ning  (sales,  production,  human  resources)  are  carried
            able to understand the connections between the data.   out separately in most companies. They therefore often
                                                                 have no real connection to the drivers of the operative
            A  major  strength  of  big  data  is  the  ability  to  use  the   business. However, if strategic goals are not taken into
            computer  to  identify  correlations  and  patterns  where   account, this can lead to different expectations at differ-
            humans only see data chaos. According to a report by   ent levels in the company, and thus to a considerable
            the analyst firm Gartner: "In the future, machines will be   amount of coordination work.
            intuitive enough to process human intentions instead of
            just  reacting  to  instructions."  As  the  systems  deliver   It is quicker and more efficient to directly link the value
            increasingly complex data, the demands on data quality   driver planning tailored to the business model with pre-
            multiplies. Someone has to make sure the data is up-to  dictive analytics, as used in many companies today. In
            -date, relevant and comes from trusted sources. Today   this  way,  significantly  better  predictions  can  be  made
            this is by no means always guaranteed.               and  the  effects  on  the  operational  business  can  be
                                                                 shown more clearly.
            Consistency checks and data cleaning, as well as the
            creation  of  so-called  “meta  directories”,  are  tasks  that   Automated systems do not need to think twice but can
            are  located  somewhere  in  the  middle  of  nowhere  be-  act  in  fractions  of  a  second.  For  major  decisions,  the
            tween  marketing,  controlling  and  IT.  Today,  data  is   system can promptly provide recommendations for ac-
            generated and stored in different systems, the famous   tion, which are then discussed in management and ulti-
            "data silos", which usually only the responsible depart-  mately decided by people. ◊
            ment has access to.

                                                              20                              July 2022: Search Marketing
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