Page 124 - Artificial Intellegence_v2.0_Class_12
P. 124

As  data  analytics  becomes  more  accessible  and  prevalent,  data  scientists  need  a  core  methodology  that  can
        provide a guiding strategy, regardless of the technology, volume of relevant data, or approach.  his methodology
        emphasises many of the ne  approaches in data science. It consists of    steps that form an iterative process using
        data to discover information.  ach step plays an important role in the conte t of the overall methodology.



                                             usiness                  Analytic
                                          understanding               approach


                                                                                     Data
                              eedback
                                                                                 requirements


                                                                                     Data
                            Deployment
                                                                                   collection


                                                                                     Data
                              valuation
                                                                                 understanding


                                                                        Data
                                             odelling
                                                                     preparation


        S tag e 1 : B usiness U nder standing
         very pro ect starts  ith a business understanding.  usiness sponsors,  ho need analytical solutions, play the most
        important  role  at  this  time  in  defining  the  problem,  pro ect  ob ectives,  and  solution  requirements  from  a  business
        perspective.  his first step lays the foundation for successful business problem solving and is perhaps the hardest.  o
        help ensure pro ect success, sponsors should be involved throughout the pro ect to provide e pert kno ledge, revie
        interim conclusions and ensure that  ork remains on track to produce the intended solution.


        S tag e 2 : A nalytic A ppr oach
        Once the business problem is clearly stated, the data scientist can define an analytical approach to solving the problem.
         his step is to represent a problem in the conte t of statistical techniques and machine learning so that the organisation
        can determine the most appropriate for the desired outcome.
         or e ample,

        •    If the goal is to predict an ans er such as  yes  or  no , then the analytical method can be defined as building,

            testing, and e ecution of a classification model.
        •   If the goal is to determine the probability of action, then predictive modelling can be used.
        •   If the goal is to sho  relationships, a descriptive approach may be necessary.

        S tag e 3 : Data R eq uir ements
         he analytical approach chosen characterises the requirements for the data. In particular, the analytical methods used
        require some content, format, and initial data collection.


        S tag e 4 : Data C ollection
        During the initial data collection phase, data scientists identify available data sources  structured, unstructured, and
        semi structured) relevant to the problem area. If there is a gap in data collection, the data scientist may need to modify
        data requirements accordingly and collect ne  and or more data.  oday's high performance database analytics enable

                      Touchpad Artificial Intelligence (Ver. 2.0)-XII
   119   120   121   122   123   124   125   126   127   128   129