Relational_AJ0 databases_NN2 are_VBB designed_VVN to_TO0 recognize_VVI relations_NN2 among_PRP stored_AJ0 items_NN2 of_PRF information_NN1 ._SENT However_AV0 ,_PUN even_AV0 if_CJS it’s_NN2 difficult_AJ0 for_PRP relational_AJ0 databases_NN2 to_TO0 process_VVI big_AJ0 data_NN0 ,_PUN big_AJ0 data_NN0 is_VBZ still_AV0 important_AJ0 because_CJS it_PNP drives_VVZ things_NN2 like_PRP machine_NN1 learning_NN1 ,_PUN which_DTQ forms_VVZ the_AT0 building_NN1 blocks_NN2 of_PRF artificial_AJ0 intelligence_NN1 (_PUL AI_NN1 )_PUR ._SENT Users_NN2 can_VM0 discover_VVI patterns_NN2 to_TO0 better_AV0 understand_VVI why_AVQ things_NN2 happen_VVB by_PRP mining_NN1 and_CJC analyzing_VVG big_AJ0 data_NN0 ._SENT 
AI_NN1 also_AV0 uses_VVZ big_AJ0 data_NN0 to_TO0 predict_VVI how_AVQ things_NN2 may_VM0 happen_VVI in_PRP the_AT0 future_NN1 and_CJC provide_VVB solutions_NN2 based_VVN on_PRP these_DT0 insights_NN2 ._SENT Google_NP0 is_VBZ an_AT0 example_NN1 of_PRF a_AT0 company_NN1 that_CJT uses_VVZ big_AJ0 data_NN0 ._SENT Their_DPS algorithm_NN1 uses_VVZ data_NN0 collected_VVN from_PRP users_NN2 and_CJC search_NN1 engine_NN1 queries_NN2 to_TO0 develop_VVI a_AT0 better_AJC understanding_NN1 of_PRF what_DTQ a_AT0 user_NN1 is_VBZ trying_VVG to_TO0 search_VVI for_PRP so_AV0 it_PNP can_VM0 present_VVI the_AT0 right_AJ0 results_NN2 ._SENT 
Structured_AJ0 /_PUN unstructured_AJ0 data_NN0 
All_DT0 data_NN0 has_VHZ a_AT0 structure_NN1 in_PRP one_CRD way_NN1 or_CJC another_DT0 ._SENT So_AV0 ,_PUN identifying_VVG if_CJS a_AT0 data_NN0 is_VBZ structured_AJ0 or_CJC unstructured_AJ0 comes_VVZ down_AVP to_PRP whether_CJS it_PNP has_VHZ a_AT0 predefined_AJ0 data_NN0 model_NN1 and_CJC whether_CJS it’s_NP0 organized_VVD in_PRP a_AT0 predefined_AJ0 way_NN1 ._SENT 
The_AT0 first_ORD difference_NN1 between_PRP the_AT0 two_CRD is_VBZ that_CJT structured_AJ0 data_NN0 refers_VVZ to_PRP clearly_AV0 defined_AJ0 and_CJC searchable_AJ0 data_NN0 types_NN2 ,_PUN while_CJS unstructured_AJ0 data_NN0 is_VBZ usually_AV0 stored_VVN in_PRP its_DPS native_AJ0 format_NN1 ._SENT This_DT0 is_VBZ why_AVQ structured_AJ0 data_NN0 is_VBZ easier_AJC to_TO0 search_VVI and_CJC analyze_VVI ,_PUN while_CJS unstructured_AJ0 data_NN0 requires_VVZ more_DT0 work_NN1 to_TO0 process_VVI and_CJC understand_VVI ._SENT 
Structured_AJ0 data_NN0 is_VBZ also_AV0 typically_AV0 quantitative_AJ0 ,_PUN while_CJS unstructured_AJ0 data_NN0 is_VBZ generally_AV0 qualitative_AJ0 ._SENT Some_DT0 examples_NN2 of_PRF structured_AJ0 data_NN0 include_VVB names_NN2 ,_PUN addresses_NN2 ,_PUN credit_NN1 card_NN1 numbers_NN2 ,_PUN geolocation_NN1 ,_PUN etc._AV0 Examples_NN2 of_PRF unstructured_AJ0 data_NN0 include_VVB text_NN1 ,_PUN social_AJ0 media_NN0 activity_NN1 ,_PUN surveillance_NN1 imagery_NN1 ,_PUN etc._AV0 
Metadata_NN1 
Meta_NP0 is_VBZ a_AT0 prefix_NN1 that_CJT means_VVZ an_AT0 underlying_AJ0 description_NN1 ._SENT Thus_AV0 ,_PUN metadata_NN1 is_VBZ mainly_AV0 described_VVN as_PRP data_NN0 that_CJT provides_VVZ information_NN1 about_PRP other_AJ0 data_NN0 ._SENT So_AV0 ,_PUN metadata_NN1 can_VM0 be_VBI defined_VVN as_PRP a_AT0 summary_NN1 of_PRF basic_AJ0 data_NN0 information_NN1 ,_PUN making_VVG it_PNP easier_AJC to_TO0 find_VVI ,_PUN use_VVB ,_PUN and_CJC reuse_VVB particular_AJ0 data_NN0 instances_NN2 ._SENT 
Metadata_NN1 can_VM0 be_VBI created_VVN automatically_AV0 ,_PUN but_CJC it_PNP may_VM0 contain_VVI basic_AJ0 information_NN1 ._SENT When_CJS it’s_NP0 created_VVD manually_AV0 ,_PUN metadata_NN1 tends_VVZ to_TO0 be_VBI more_AV0 accurate_AJ0 ._SENT Metadata_NN1 is_VBZ used_VVN for_PRP computer_NN1 files_NN2 ,_PUN images_NN2 ,_PUN relational_AJ0 databases_NN2 ,_PUN videos_NN2 ,_PUN webpages_NN2 ,_PUN etc._AV0 
For_PRP instance_NN1 ,_PUN the_AT0 metadata_NN1 on_PRP your_DPS business_NN1 website_NN1 might_VM0 be_VBI pieces_NN2 of_PRF information_NN1 you_PNP use_VVB to_TO0 tell_VVI the_AT0 search_NN1 engines_NN2 and_CJC any_DT0 site_NN1 visitors_NN2 more_AV0 about_PRP your_DPS page_NN1 and_CJC the_AT0 information_NN1 it_PNP contains_VVZ ._SENT This_DT0 information_NN1 may_VM0 include_VVI title_NN1 ,_PUN author_NN1 ,_PUN date_NN1 published_AJ0 ,_PUN content_AJ0 description_NN1 ,_PUN etc._AV0 Having_VHG the_AT0 ability_NN1 to_TO0 search_VVI for_PRP a_AT0 piece_NN1 of_PRF particular_AJ0 information_NN1 from_PRP that_DT0 metadata_NN1 also_AV0 makes_VVZ it_PNP easier_AJC for_PRP users_NN2 to_TO0 find_VVI what_DTQ they’re_NN1 looking_VVG for_PRP ._SENT 
Real-time_AJ0 data_NN0 
Real-time_AJ0 data_NN0 refers_VVZ to_PRP data_NN0 that’s_NN2 available_AJ0 as_CJS soon_AV0 as_CJS it’s_NN2 created_VVN and_CJC acquired_VVN ._SENT Instead_AV0 of_PRF being_VBG stored_VVN ,_PUN this_DT0 type_NN1 of_PRF data_NN0 is_VBZ forwarded_VVN to_PRP users_NN2 as_CJS soon_AV0 as_CJS it’s_NP0 collected_VVD ._SENT Real-time_AJ0 data_NN0 is_VBZ used_VVN in_PRP real-time_AJ0 analytics_NN2 or_CJC operational_AJ0 intelligence_NN1 ._SENT 
Operational_AJ0 intelligence_NN1 ,_PUN also_AV0 called_VVN business_NN1 intelligence_NN1 ,_PUN refers_VVZ to_PRP the_AT0 process_NN1 of_PRF turning_VVG raw_AJ0 data_NN0 into_PRP practical_AJ0 and_CJC meaningful_AJ0 insights_NN2 to_TO0 give_VVI users_NN2 a_AT0 real-time_AJ0 understanding_NN1 of_PRF what’s_NN2 happening_VVG across_PRP their_DPS systems_NN2 and_CJC technology_NN1 infrastructure_NN1 to_TO0 help_VVI them_PNP make_VVI informed_AJ0 decisions_NN2 ._SENT It’s_NN2 used_VVN in_PRP many_DT0 industries_NN2 in_PRP circumstances_NN2 where_AVQ a_AT0 quick_AJ0 response_NN1 is_VBZ critical_AJ0 ._SENT 
The_AT0 information_NN1 you_PNP get_VVB from_PRP your_DPS GPS_NN2 is_VBZ an_AT0 example_NN1 of_PRF real-time_AJ0 data_NN0 ._SENT Banks_NN2 and_CJC other_AJ0 financial_AJ0 institutions_NN2 also_AV0 apply_VVB real-time_AJ0 analytics_NN2 to_TO0 detect_VVI credit_NN1 card_NN1 fraud_NN1 as_PRP the_AT0 transaction_NN1 is_VBZ taking_VVG place_NN1 ._SENT 
Machine_NN1 data_NN0 
Machine_NN1 data_NN0 ,_PUN also_AV0 called_VVN machine-generated_AJ0 data_NN0 ,_PUN refers_VVZ to_PRP digital_AJ0 information_NN1 created_VVN by_PRP online_AJ0 activities_NN2 and_CJC operations_NN2 of_PRF networked_AJ0 devices_NN2 ._SENT It_PNP contains_VVZ a_AT0 definitive_AJ0 ,_PUN real-time_AJ0 record_NN1 of_PRF all_DT0 the_AT0 activity_NN1 and_CJC behavior_NN1 of_PRF users_NN2 ,_PUN transactions_NN2 ,_PUN applications_NN2 ,_PUN servers_NN2 ,_PUN networks_NN2 ,_PUN and_CJC mobile_AJ0 devices_NN2 ._SENT 
Machine_NN1 data_NN0 is_VBZ created_VVN automatically_AV0 on_PRP a_AT0 fixed_AJ0 schedule_NN1 or_CJC as_PRP a_AT0 response_NN1 to_PRP an_AT0 event_NN1 ._SENT And_CJC it’s_NP0 rarely_AV0 modified_VVN by_PRP humans_NN2 ,_PUN but_CJC it_PNP can_VM0 be_VBI collected_VVN and_CJC analyzed_VVN ._SENT This_DT0 automation_NN1 is_VBZ why_AVQ machine_NN1 data_NN0 is_VBZ said_VVN to_TO0 be_VBI one_CRD of_PRF the_AT0 fastest_AJS growing_AJ0 and_CJC complex_AJ0 areas_NN2 of_PRF big_AJ0 data_NN0 ._SENT 
The_AT0 transaction_NN1 records_NN2 from_PRP an_AT0 ATM_NN1 and_CJC IP_NN1 addresses_NN2 from_PRP network_NN1 logs_NN2 are_VBB examples_NN2 of_PRF machine_NN1 data_NN0 ._SENT The_AT0 data_NN0 is_VBZ valuable_AJ0 for_PRP businesses_NN2 because_CJS it_PNP contains_VVZ critical_AJ0 information_NN1 on_PRP user_NN1 behavior_NN1 ,_PUN machine_NN1 behavior_NN1 ,_PUN security_NN1 threats_NN2 ,_PUN and_CJC fraudulent_AJ0 activity_NN1 ,_PUN among_PRP others_NN2 ._SENT 
Data_NN0 analysts_NN2 value_NN1 machine_NN1 data_NN0 because_CJS if_CJS it’s_NN2 accessed_VVN and_CJC analyzed_VVN ,_PUN it_PNP can_VM0 help_VVI organizations_NN2 identify_VVI threats_NN2 ,_PUN solve_VVB problems_NN2 ,_PUN and_CJC use_NN1 machine_NN1 learning_NN1 to_TO0 help_VVI predict_VVI future_AJ0 issues_NN2 ._SENT 
Quantitative_AJ0 vs._PRP qualitative_AJ0 data_NN0 
Quantitative_AJ0 data_NN0 is_VBZ data_NN0 that_CJT can_VM0 be_VBI measured_VVN using_VVG numbers_NN2 and_CJC values_NN2 ._SENT It’s_NP0 statistical_AJ0 and_CJC typically_AV0 structured_VVN in_PRP nature_NN1 ,_PUN which_DTQ means_VVZ it’s_NN2 more_AV0 rigid_AJ0 and_CJC defined_AJ0 ._SENT For_PRP example_NN1 ,_PUN this_DT0 data_NN0 type_NN1 may_VM0 answer_VVI the_AT0 question_NN1 ,_PUN “_VVB How_AVQ much_DT0 ?_SENT ”_NP0 or_CJC “_NP0 How_AVQ many_DT0 ?_SENT ”_NP0 Meanwhile_AV0 ,_PUN descriptive_AJ0 data_NN0 analysis_NN1 provides_VVZ the_AT0 “_NN1 What_DTQ happened_VVD ?_SENT ”_NP0 when_CJS analyzing_VVG quantitative_AJ0 data_NN0 ._SENT 
Quantitative_AJ0 data_NN0 can_VM0 be_VBI gathered_VVN through_PRP instruments_NN2 ,_PUN tests_NN2 ,_PUN experiments_NN2 ,_PUN surveys_NN2 ,_PUN market_NN1 reports_NN2 ,_PUN and_CJC metrics_NN2 ._SENT A_AT0 few_DT0 examples_NN2 of_PRF quantitative_AJ0 data_NN0 are_VBB your_DPS age_NN1 ,_PUN the_AT0 number_NN1 of_PRF visitors_NN2 a_AT0 website_AJ0 records_NN2 per_PRP day_NN1 ,_PUN and_CJC the_AT0 number_NN1 of_PRF iPhones_NN2 sold_VVN in_PRP 2021._CRD 
On_PRP the_AT0 other_AJ0 hand_NN1 ,_PUN qualitative_AJ0 data_NN0 describes_VVZ qualities_NN2 or_CJC characteristics_NN2 ._SENT That’s_NP0 why_AVQ it_PNP can_VM0 be_VBI challenging_AJ0 to_TO0 measure_VVI and_CJC analyze_VVI ._SENT It’s_NP0 categorized_VVD based_VVN on_PRP properties_NN2 ,_PUN attributes_NN2 ,_PUN labels_NN2 ,_PUN and_CJC other_AJ0 identifiers_NN2 ._SENT It’s_NP0 also_AV0 described_VVN as_CJS nonstatistical_AJ0 and_CJC unstructured_AJ0 ._SENT 
Qualitative_AJ0 data_NN0 can_VM0 be_VBI collected_VVN using_VVG questionnaires_NN2 ,_PUN interviews_NN2 ,_PUN focus_NN1 groups_NN2 ,_PUN or_CJC observation_NN1 ._SENT For_PRP example_NN1 ,_PUN a_AT0 person’s_NP0 hair_NN1 color_NN1 ,_PUN the_AT0 shape_NN1 of_PRF the_AT0 cookies_NN2 in_PRP a_AT0 box_NN1 ,_PUN and_CJC the_AT0 type_NN1 of_PRF car_NN1 you_PNP drive_VVB are_VBB all_DT0 examples_NN2 of_PRF qualitative_AJ0 data_NN0 ._SENT 
Best_AJS data_NN0 analysis_NN1 techniques_NN2 
There_EX0 are_VBB several_DT0 methods_NN2 of_PRF data_NN0 analysis_NN1 that_CJT data_NN0 analysts_NN2 use_VVB ._SENT However_AV0 ,_PUN the_AT0 methods_NN2 vary_VVB depending_VVG on_PRP the_AT0 type_NN1 of_PRF data_NN0 in_PRP question_NN1 and_CJC the_AT0 goal_NN1 of_PRF the_AT0 data_NN0 analysis_NN1 ._SENT The_AT0 best_AJS data_NN0 analysis_NN1 techniques_NN2 used_VVN across_PRP industries_NN2 include_VVB :_PUN 
Regression_NN1 analysis_NN1 
Cluster_NN1 analysis_NN1 
Factor_NN1 analysis_NN1 
Cohort_NN1 analysis_NN1 
Text_NN1 analysis_NN1 
Time_NN1 series_NN0 analysis_NN1 
1._CRD Regression_NN1 analysis_NN1 
Regression_NN1 analysis_NN1 is_VBZ a_AT0 common_AJ0 technique_NN1 used_VVN in_PRP finance_NN1 ,_PUN investing_VVG ,_PUN and_CJC marketing_NN1 ._SENT This_DT0 data_NN0 analysis_NN1 technique_NN1 helps_VVZ analysts_NN2 understand_VVB the_AT0 relationship_NN1 of_PRF independent_AJ0 variables_NN2 to_PRP a_AT0 dependent_AJ0 variable_NN1 ._SENT It_PNP shows_VVZ how_AVQ the_AT0 dependent_AJ0 variable_AJ0 changes_NN2 in_PRP relation_NN1 to_PRP changes_NN2 in_PRP independent_AJ0 variables_NN2 ._SENT 
Regression_NN1 analysis_NN1 is_VBZ used_VVN by_PRP businesses_NN2 to_TO0 understand_VVI how_AVQ sales_NN0 of_PRF a_AT0 particular_AJ0 product_NN1 (_PUL dependent_AJ0 variable_NN1 )_PUR are_VBB impacted_VVN when_CJS there_EX0 are_VBB changes_NN2 in_PRP price_NN1 ,_PUN available_AJ0 designs_NN2 ,_PUN and_CJC quantity_NN1 available_AJ0 (_PUL independent_AJ0 variables_NN2 ._SENT )_PUR 
In_PRP this_DT0 example_NN1 ,_PUN the_AT0 analysis_NN1 might_VM0 show_VVI that_CJT a_AT0 price_NN1 increase_NN1 and_CJC available_AJ0 designs_NN2 increase_VVB the_AT0 demand_NN1 and_CJC sales_NN0 for_PRP the_AT0 product_NN1 ._SENT It_PNP could_VM0 also_AV0 show_VVI that_CJT a_AT0 decrease_NN1 in_PRP the_AT0 quantity_NN1 of_PRF available_AJ0 inventory_NN1 increases_VVZ the_AT0 order_NN1 and_CJC sales_NN0 for_PRP the_AT0 item_NN1 ._SENT 
2._CRD Cluster_NN1 analysis_NN1 
Cluster_NN1 analysis_NN1 is_VBZ considered_VVN a_AT0 statistical_AJ0 method_NN1 and_CJC is_VBZ used_VVN to_PRP group_NN1 similar_AJ0 data_NN0 into_PRP categories_NN2 ._SENT This_DT0 analysis_NN1 technique_NN1 aims_VVZ to_TO0 sort_VVI data_NN0 elements_NN2 into_PRP groups_NN2 where_AVQ the_AT0 degree_NN1 of_PRF association_NN1 between_PRP the_AT0 data_NN0 elements_NN2 is_VBZ high_AJ0 if_CJS they_PNP belong_VVB to_PRP the_AT0 same_DT0 group_NN1 and_CJC low_AJ0 if_CJS they_PNP belong_VVB to_PRP different_AJ0 groups_NN2 ._SENT 
Cluster_NN1 analysis_NN1 doesn’t_NN1 make_VVB any_DT0 distinction_NN1 between_PRP dependent_AJ0 and_CJC independent_AJ0 variables_NN2 ._SENT Instead_AV0 ,_PUN it’s_NP0 used_VVD to_TO0 find_VVI hidden_AJ0 patterns_NN2 in_PRP the_AT0 data_NN0 or_CJC provide_VVB additional_AJ0 context_NN1 to_PRP a_AT0 dataset_NN1 ._SENT 
The_AT0 most_AV0 common_AJ0 usage_NN1 of_PRF cluster_NN1 analysis_NN1 is_VBZ to_TO0 develop_VVI market_NN1 segments_NN2 ._SENT Customers_NN2 are_VBB divided_VVN into_PRP clusters_NN2 based_VVN on_PRP demographics_NN2 ,_PUN purchasing_VVG behaviors_NN2 ,_PUN or_CJC other_AJ0 factors_NN2 relevant_AJ0 to_PRP a_AT0 company_NN1 ._SENT Then_AV0 ,_PUN the_AT0 data_NN0 is_VBZ used_VVN to_TO0 optimize_VVI a_AT0 business’s_AJ0 marketing_NN1 efforts_NN2 to_TO0 give_VVI customers_NN2 the_AT0 best_AJS experience_NN1 based_VVN on_PRP their_DPS needs_NN2 or_CJC preferences_NN2 ._SENT 
3._CRD Factor_NN1 analysis‍_NN1 
Factor_NN1 analysis_NN1 is_VBZ a_AT0 statistical_AJ0 analysis_NN1 method_NN1 used_VVN in_PRP data_NN0 mining_NN1 ._SENT Its_DPS primary_AJ0 objective_NN1 is_VBZ to_TO0 reduce_VVI the_AT0 number_NN1 of_PRF observed_AJ0 and_CJC unobserved_AJ0 variables_NN2 in_PRP datasets_NN2 ._SENT The_AT0 unobserved_AJ0 variables_NN2 ,_PUN also_AV0 called_VVN factors_NN2 ,_PUN are_VBB not_XX0 directly_AV0 observed_VVN but_CJC are_VBB rather_AV0 inferred_VVN (_PUL through_PRP a_AT0 mathematical_AJ0 model_NN1 )_PUR from_PRP other_AJ0 variables_NN2 ._SENT 
So_AV0 ,_PUN factor_NN1 analysis_NN1 is_VBZ used_VVN in_PRP data_NN0 interpretation_NN1 to_TO0 reduce_VVI the_AT0 number_NN1 of_PRF variables_NN2 ._SENT Factor_NN1 analysis_NN1 allows_VVZ for_PRP better_AJC visibility_NN1 of_PRF patterns_NN2 in_PRP the_AT0 data_NN0 ,_PUN and_CJC it_PNP helps_VVZ analysts_NN2 focus_NN1 and_CJC clarifies_VVZ the_AT0 results_NN2 ._SENT For_PRP example_NN1 ,_PUN some_DT0 uses_NN2 of_PRF factor_NN1 analysis_NN1 in_PRP marketing_NN1 include_VVB identifying_VVG the_AT0 price_NN1 most_AV0 appealing_AJ0 to_PRP customers_NN2 and_CJC determining_VVG brand_NN1 features_NN2 that_CJT influence_VVB consumer_NN1 choice_NN1 ._SENT 
4._CRD Cohort_NN1 analysis_NN1 
Cohort_NN1 analysis_NN1 is_VBZ a_AT0 data_NN0 analysis_NN1 process_NN1 where_AVQ users_NN2 are_VBB grouped_VVN based_VVN on_PRP their_DPS shared_AJ0 traits_NN2 to_PRP better_AJC track_NN1 and_CJC understand_VVB their_DPS actions_NN2 ._SENT After_PRP all_DT0 ,_PUN a_AT0 cohort_NN1 means_VVZ a_AT0 group_NN1 of_PRF people_NN0 with_PRP shared_AJ0 characteristics_NN2 ._SENT So_AV0 ,_PUN this_DT0 type_NN1 of_PRF data_NN0 analysis_NN1 method_NN1 uses_VVZ historical_AJ0 data_NN0 to_TO0 examine_VVI and_CJC compare_VVI a_AT0 customer’s_NP0 segment_NN1 based_VVN on_PRP behavior_NN1 ._SENT 
Google_NN1 Analytics_NN1 is_VBZ an_AT0 example_NN1 of_PRF a_AT0 data_NN0 analysis_NN1 tool_NN1 that_CJT has_VHZ a_AT0 cohort_NN1 analysis_NN1 feature_NN1 ._SENT It_PNP groups_NN2 website_AJ0 visitors_NN2 by_PRP acquisition_NN1 date_NN1 —_PUN the_AT0 first_ORD time_NN1 a_AT0 user_NN1 visits_VVZ a_AT0 website_NN1 ._SENT You_PNP can_VM0 use_VVI this_DT0 feature_NN1 to_TO0 compare_VVI the_AT0 behavior_NN1 and_CJC metrics_NN2 of_PRF different_AJ0 cohorts_NN2 over_PRP time_NN1 ._SENT Cohort_NN1 analysis_NN1 can_VM0 also_AV0 be_VBI useful_AJ0 if_CJS you’re_NN1 looking_VVG to_TO0 find_VVI out_AVP how_AVQ your_DPS marketing_NN1 efforts_NN2 impact_VVB your_DPS sales_NN0 on_PRP specific_AJ0 groups_NN2 of_PRF customers_NN2 ._SENT 
For_PRP instance_NN1 ,_PUN you_PNP may_VM0 decide_VVI to_TO0 create_VVI two_CRD versions_NN2 of_PRF a_AT0 marketing_NN1 campaign_NN1 with_PRP different_AJ0 messaging_NN1 ,_PUN calls_VVZ to_PRP action_NN1 (_PUL CTAs_NP0 )_PUR ,_PUN and_CJC landing_NN1 pages_NN2 ._SENT You’ll_NP0 then_AV0 run_VVN the_AT0 campaign_NN1 on_PRP different_AJ0 cohorts_NN2 and_CJC use_NN1 cohort_NN1 analysis_NN1 to_TO0 track_VVI the_AT0 performance_NN1 of_PRF your_DPS campaign_NN1 ._SENT The_AT0 results_NN2 could_VM0 help_VVI you_PNP understand_VVI which_DTQ type_NN1 of_PRF messaging_NN1 and_CJC content_NN1 gets_VVZ your_DPS visitors_NN2 to_TO0 sign_VVI up_AVP ,_PUN buy_VVB ,_PUN or_CJC engage_VVB with_PRP your_DPS website_NN1 ._SENT 
Data_NN0 analysts_NN2 can_VM0 not_XX0 only_AV0 help_VVI you_PNP run_VVI analytics_NN2 on_PRP your_DPS website_NN1 ,_PUN but_CJC they_PNP also_AV0 can_VM0 turn_VVI whatever_DTQ metrics_NN1 you’re_NN1 staring_VVG at_PRP into_PRP practical_AJ0 ,_PUN actionable_AJ0 information_NN1 ._SENT Connect_VVB with_PRP world-class_AJ0 data_NN0 analysts_NN2 on_PRP Upwork_NN1 to_TO0 get_VVI started_VVN with_PRP your_DPS data_NN0 analysis_NN1 project_NN1 ._SENT 
5._CRD Text_NN1 analysis_NN1 
Text_NN1 analysis_NN1 uses_VVZ machine_NN1 learning_NN1 to_TO0 organize_VVI unstructured_AJ0 text_NN1 data_NN0 to_TO0 gain_VVI valuable_AJ0 insights_NN2 automatically_AV0 ._SENT Businesses_NN2 use_VVB text_NN1 analysis_NN1 tools_NN2 to_TO0 digest_VVI online_AJ0 data_NN0 and_CJC documents_NN2 and_CJC transform_VVB the_AT0 information_NN1 into_PRP actionable_AJ0 insights_NN2 ._SENT For_PRP example_NN1 ,_PUN by_PRP transforming_VVG human_AJ0 language_NN1 into_PRP machine-readable_AJ0 data_NN0 ,_PUN text_NN1 analysis_NN1 tools_NN2 can_VM0 sort_VVI text_NN1 by_PRP topic_NN1 ,_PUN extract_NN1 keywords_NN2 ,_PUN and_CJC read_VVB for_PRP emotion_NN1 and_CJC intent_NN1 ._SENT 
Text_NN1 analysis_NN1 identifies_VVZ important_AJ0 information_NN1 within_PRP the_AT0 text_NN1 and_CJC delivers_VVZ qualitative_AJ0 results_NN2 ._SENT For_PRP example_NN1 ,_PUN you_PNP can_VM0 use_VVI text_NN1 analysis_NN1 to_TO0 extract_VVI specific_AJ0 information_NN1 ,_PUN like_PRP keywords_NN2 ,_PUN names_NN2 ,_PUN or_CJC company_NN1 information_NN1 from_PRP thousands_CRD of_PRF emails_NN2 ._SENT You_PNP can_VM0 also_AV0 use_VVI it_PNP to_TO0 categorize_VVI survey_NN1 responses_NN2 by_PRP sentiment_NN1 and_CJC topic_NN1 ._SENT 
Since_CJS text_NN1 analysis_NN1 tools_NN2 can_VM0 categorize_VVI vast_AJ0 quantities_NN2 of_PRF information_NN1 in_PRP seconds_NN2 rather_AV0 than_CJS days_NN2 ,_PUN this_DT0 technique_NN1 allows_VVZ you_PNP to_TO0 attend_VVI to_PRP more_DT0 important_AJ0 business_NN1 tasks_NN2 ._SENT It’s_NP0 also_AV0 a_AT0 game-changer_NN1 when_CJS it_PNP comes_VVZ to_PRP detecting_VVG urgent_AJ0 messages_NN2 in_PRP real-time_AJ0 ._SENT By_PRP training_NN1 text_NN1 analysis_NN1 models_NN2 to_TO0 detect_VVI urgent_AJ0 impressions_NN2 or_CJC negative_AJ0 sentiments_NN2 ,_PUN companies_NN2 can_VM0 flag_VVI tweets_NN2 ,_PUN reviews_NN2 ,_PUN videos_NN2 ,_PUN or_CJC tickets_NN2 that_CJT contain_VVB such_DT0 and_CJC resolve_VVB the_AT0 issue_NN1 immediately_AV0 ._SENT 
6._CRD Time_NN1 series_NN0 analysis_NN1 
Time_NN1 series_NN0 analysis_NN1 is_VBZ a_AT0 certain_AJ0 way_NN1 of_PRF analyzing_VVG a_AT0 sequence_NN1 of_PRF data_NN0 points_NN2 collected_VVN over_PRP an_AT0 interval_NN1 of_PRF time_NN1 ._SENT A_AT0 time_NN1 series_NN0 ,_PUN in_PRP other_AJ0 words_NN2 ,_PUN is_VBZ simply_AV0 a_AT0 series_NN0 of_PRF data_NN0 points_NN2 ordered_VVN in_PRP time_NN1 ._SENT The_AT0 independent_AJ0 variable_NN1 is_VBZ time_NN1 ,_PUN and_CJC the_AT0 goal_NN1 is_VBZ usually_AV0 to_TO0 make_VVI a_AT0 forecast_NN1 for_PRP the_AT0 future_NN1 ._SENT 
With_PRP time_NN1 series_NN0 analysis_NN1 ,_PUN analysts_NN2 record_VVB data_NN0 points_NN2 at_PRP consistent_AJ0 intervals_NN2 over_PRP a_AT0 set_AJ0 period_NN1 of_PRF time_NN1 instead_AV0 of_PRF recording_NN1 in_PRP response_NN1 to_PRP an_AT0 event_NN1 ,_PUN randomly_AV0 or_CJC intermittently_AV0 ._SENT This_DT0 data_NN0 analysis_NN1 technique_NN1 helps_VVZ businesses_NN2 understand_VVI why_AVQ trends_NN2 occur_VVB ._SENT By_PRP analyzing_VVG data_NN0 over_PRP consistent_AJ0 intervals_NN2 ,_PUN companies_NN2 can_VM0 also_AV0 use_VVI time-series_AJ0 analysis_NN1 as_PRP a_AT0 predictive_AJ0 technique_NN1 to_TO0 foresee_VVI the_AT0 likelihood_NN1 of_PRF an_AT0 event_NN1 happening_VVG in_PRP the_AT0 future_NN1 ._SENT 
Stock_NN1 market_NN1 reports_NN2 are_VBB excellent_AJ0 examples_NN2 of_PRF time_NN1 series_NN0 analysis_NN1 in_PRP action_NN1 ._SENT The_AT0 finance_NN1 industry_NN1 also_AV0 uses_VVZ this_DT0 technique_NN1 to_TO0 plot_VVI reports_NN2 as_PRP currency_NN1 changes_NN2 over_PRP time_NN1 ._SENT Another_DT0 example_NN1 is_VBZ when_AVQ businesses_NN2 record_VVB their_DPS quarterly_AJ0 sales_NN0 or_CJC create_VVB projected_AJ0 sales_NN0 reports_NN2 ._SENT 
See_VVB what_DTQ data_NN0 analysis_NN1 can_VM0 do_VDI for_PRP your_DPS business_NN1 
Data_NN0 is_VBZ key_AJ0 to_PRP better-informed_AJC business_NN1 decisions_NN2 ._SENT Data_NN0 can_VM0 help_VVI businesses_NN2 improve_VVI their_DPS customer_NN1 service_NN1 experience_NN1 and_CJC the_AT0 efficiency_NN1 and_CJC security_NN1 of_PRF their_DPS operations_NN2 ._SENT However_AV0 ,_PUN the_AT0 amount_NN1 of_PRF data_NN0 and_CJC its_DPS accessibility_NN1 can_VM0 be_VBI a_AT0 challenge_NN1 ._SENT So_AV0 ,_PUN your_DPS company’s_AJ0 ability_NN1 to_TO0 collect_VVI data_NN0 ,_PUN interpret_VVB it_PNP ,_PUN and_CJC turn_VVB it_PNP into_PRP actionable_AJ0 insights_NN2 could_VM0 either_AV0 hinder_VVI your_DPS growth_NN1 or_CJC boost_VVB your_DPS success_NN1 ._SENT 
As_CJS you_PNP can_VM0 see_VVI ,_PUN there_EX0 are_VBB several_DT0 data_NN0 analysis_NN1 techniques_NN2 to_TO0 consider_VVI ._SENT However_AV0 ,_PUN to_TO0 turn_VVI your_DPS raw_AJ0 data_NN0 into_PRP useful_AJ0 information_NN1 ,_PUN you_PNP need_VVB to_TO0 start_VVI with_PRP the_AT0 kind_NN1 of_PRF data_NN0 you_PNP have_VHB and_CJC define_VVB what_DTQ you_PNP want_VVB to_TO0 achieve_VVI in_PRP the_AT0 process_NN1 ._SENT 
It’s_NP0 also_AV0 best_AJS to_TO0 turn_VVI to_PRP professionals_NN2 who_PNQ know_VVB what_DTQ they’re_NP0 doing_VDG ._SENT Connect_VVB with_PRP talented_AJ0 data_NN0 analytics_NN1 specialists_NN2 through_PRP Upwork_NN1 ._SENT We_PNP have_VHB the_AT0 largest_AJS network_NN1 of_PRF independent_AJ0 professionals_NN2 ._SENT You’ll_NP0 find_VVB someone_PNI whether_CJS you’re_NN1 looking_VVG for_PRP an_AT0 expert_NN1 on_PRP data_NN0 collection_NN1 ,_PUN qualitative_AJ0 data_NN0 analysis_NN1 ,_PUN quantitative_AJ0 data_NN0 analysis_NN1 ,_PUN Python_NP0 ,_PUN or_CJC data_NN0 science_NN1 ._SENT 
