april 11, 2019 the evolution of business intelligence and … · 2019. 4. 15. · 3. casual users....

9
The Evolution of Business Intelligence and Analytics Ashraf Khan IBM Data and AI Technical Sales Leader IBM Cloud and Cognitive Software [email protected] April 11, 2019

Upload: others

Post on 17-Aug-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

The Evolution of Business Intelligence and Analytics

Ashraf KhanIBM Data and AI Technical Sales LeaderIBM Cloud and Cognitive Software

[email protected]

April 11, 2019

Page 2: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

2

Predictive & prescriptive modeling, data mining & statistical analysis

Data science & ML, design, build, train, run

Automate analytical and data science process deployment

Integrate across the businessDynamic planning, budgeting and forecasting

AI-assisted business intelligence and dashboarding

Data Science & Business AnalyticsLifeCycle

What will happen next? What

should we do?

MODERNIZE AI Infused

ANALYTICS LIFE CYCLE

Page 3: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

3

Casual UsersPower Users

Data Analysts 8%

Data Scientists 2%

Data Explorers 30%

Data Consumers 60%

There is a growing population of Professionals hungry to put data to work- and they are not going to wait

Source Eckerson Group 2017

Static reports

Personalizedreports

Dashboards &Stories

Data modules & ad hoc reports / dashboards

Data model & professional reports

Interactive reports

Data discovery & analysis

Advanced analytic modeling

Page 4: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

ACCOUNTDEFAULTS ADDRESS ADDUSER AGREEMENTINPU AMCREW AMCREWAVAIL AMCREWCHNGST AMCREWLABO AMCREWLABPO AMCREWLABUNRESTRICTED AMCREWMODAVAIL AMCREWQUA AMCREWSTATHIS AMCREWT AMCREWTOO AMCREWTOOLSQ AMCREWTOOLUNRESTRICTED AMCREWWOLAB AMCREWWORKZONE AMCREWWOTL AMCTCRAF AMCTQUAL AMCTSTATHIST AMCTTOOL APPTBKCOMMITGROUP APPTBKCOMMITPERSON APPTBKSTATUS APPTBKWINDOWAVAIL APPTBKWINDOWS APPTBOOK APPTBOOKASSIGNMENTS APPTBOOKJOBPLAN APPTWINDOWRANGE ARCHIVE AREASAFFECTED ASSET ASSETANCESTOR ASSETATTRIBUTE ASSETFEASPECHIST ASSETFEATURE ASSETFEATUREHIST ASSETFEATURESPEC ASSETHIERARCHY ASSETHISTORY ASSETINPUT ASSETLOCCOMM ASSETLOCRELATION ASSETLOCRELHIST ASSETLOCUSERCUST ASSETMETER ASSETMNTSKD ASSETMOVEDFLT ASSETOPSKD ASSETSPEC ASSETSPECHISTASSETSTATUS ASSETSTATUSDUMMY ASSETTRANS ASSETUSERCUST ASSETWORKZONE ASSIGNCREW ASSIGNLABOR ASSIGNLOC ASSIGNMENT ASSIGNREPLOCASSOCCONTINPUT ATTENDANCE AUTOATTRUPDATE BBOARDAUDIENCE BILLTOSHIPTO BIMATTRIBUTEMAP BUDGET BUDGETANALYSISAXISNUMBER BUDGETCHANGESTATUS BUDGETGEN BUDGETLINE BUDGETRULE BUDGETRULEASSOC BUDGETRULETRANSDATE BUDGETSTATUS BUDGETUPD BUILDINGMODEL CAASSETWO CALENDAR CALENDARBREAK CALOCATIONWO CHANGECAPSTATUS CHARPOINTACTION CHARTOFACCOUNTS CI CLASSANCESTOR CLASSIFICATION CLASSSPEC CLASSSPECUSEWITH CLASSSTRUCTURECOLLECTDETAILS COMPANIES COMPANYACCDEF COMPCOMMODITY COMPCONTACT COMPUTERSYSTEM CONSTRANSACTION CONTASSETMETER CONTCOMMODITY CONTLEASEENDASST CONTLINEASSET CONTLINEMETER CONTRACT CONTRACTASSET CONTRACTAUTH CONTRACTFROMPO CONTRACTFROMPR CONTRACTFROMRFQCONTRACTLEASE CONTRACTLINE CONTRACTMASTER CONTRACTPURCH CONTRACTSFW CONTRACTSTATUS CONTRACTSWLIC CONTRACTTERM CONTRACTTYPE CONTRACTTYPETERM CONTSFWLIC COSTINPUT CRAFT CRAFTRATE CRAFTSKILL CREATEINVOICE CREATERELINPUT DAILYCREWREASSIGN DEPHISTORY DEPLOYEDASSET DEPRECIATION DEPSCHED DEPSCHEDHISTORY DEPSCHEDPERIODS DEPTRANS DOWNTIMEREPORT DRILLDOWN ESCALATION ESCREFPOINT ESCSTATUS EXCHANGE FAILURECODE FAILURELIST FAILUREREMARK FAILUREREPORT FINANCIALPERIODS FINCNTRL GENERATEWO GLAUTH GLCOMPONENTS GLCONFIGURE GLNAVTEMPORG GLUPDATEDATABASE HAZARD HAZARDPREC INCIDENT INSPECTIONFORM INSPECTIONFORMSTATUS INSPECTIONRESULT INSPFIELD INSPFIELDOPTION INSPFIELDRESULT INSPFORMSCRIPT INSPFORMUSEWITH INSPQUESTION INSPRESULTFORM INSPRESULTSTATUS INVADJUSTMENT INVBALANCES INVCOST INVENTORY INVLIFOFIFOCOST INVLOT INVOICE INVOICECOST INVOICELINE INVOICEMATCH INVOICESTATUS INVOICETERM INVOICETRANS INVRESERVE INVSTATUS INVTRANS INVUSE INVUSELINE INVUSELINESPLIT INVUSESTATUS INVVENDOR ISSUECURRENTITEM ISSUEDITEMFORRETURN ISSUEITEMTOASSET ITEMORGCHGSTATUS ITEMORGINFO ITEMORGSTATUS ITEMSPECITEMSTRUCTJOBITEM JOBLABOR JOBMATERIAL JOBPLAN JOBPLANSPEC JOBSERVICE JOBTASK JOBTASKSPEC JOBTOOL JPASSETSPLINK JPDUMMYSTATUS JPFROMWOINPUT JPTASKLOOKUP JPTASKRELATION JPTOTAL KIT KPIOEE LABINVLOCCHANGE LABOR LABORAUTH LABORCERTHIST LABORCRAFTRATE LABORQUAL LABORQUALSTATUS LABORSTATUS LABORVIEW LABORWORKZONE LABTRANS LABTRANSENTERBY LBSCREWVIEW LBSLABORVIEW LEASEVIEWLEASEVIEWLINE LIFOFIFOCOST LIMITTOLERANCE LINESPLIT LNKCLAUSEATRNAME LOCANCESTOR LOCATIONMETER LOCATIONMNTSKD LOCATIONOPSKD LOCATIONS LOCATIONSPEC LOCATIONUSERCUST LOCATIONWORKZONE LOCAUTH LOCHIERARCHY LOCKOUT LOCLEADTIME LOCMETERREADING LOCOPER LOCSTATUSLOCSYSTEM LVCMSGINFO MASTERPMWORKTYPEMASTERVIEW MATRECTRANS MATUSETRANS MAXVARINPUT MEASUREMENT MEASUREPOINT MEASUREUNIT METERDATA METERREADING MODDOWNTIMEHIST MPWOGENCRONPARAM MR MRCOST MRLINE MRSTATUS MULTIASSETLOCCI MULTIASSETLOCCIPR MXGLTXN MXRECEIPT NAMEDUSERS NETDEVICE NETPRINTER NWORKZONE ORGANIZATION ORGFILTER PDSPEC PERSCOMMODITY PERSON PERSONCAL PERSONGROUPTEAM PERSONGROUPVIEW PERSONSEARCH PM PMANCESTOR PMFORECAST PMFORECASTCOSTCRONPARAM PMFORECASTCRONPARAM PMFORECASTJP PMMETER PMSEASONS PMSEQUENCE PO POCOST POECOMSTATUS POFROMPRINPUT POFROMRFQINPUT POINTWO POLINE POSTATUS POTERM PPCRAFTRATE PPLABORRATE PR PRCOST PRECAUTION PREMIUMPAY PRICALC PRLINE PROBLEM PROPERTYDEFAULT PRSTATUS PRTERM PURCHVIEW QUALCRAFTSKILL QUALIFICATION QUALSTATUS QUOTATIONLINE RECEIPTINPUT RECEIPTINPUTFIND RELATEDRECORD REORDERMUTEX REORDERPAD REPFACAUTH REPORTADHOC REPORTLIST RESERVATION REVINVINPUT RFQ RFQLINE RFQSTATUS RFQTERM RFQVENDOR RFQVENDORTERM ROTINSPECTION ROTINSPECTIONLINE ROUTE_STOP ROUTES SAFETYLEXICON SAFETYPLAN SCHEDULE SCHEDULELINE SCHLEASEVIEW SCHPURCHVIEW SCHWARRANTYVIEW SEARCHATTRIBUTE SEARCHHIRCHYREL SERVICEADDRESS SERVRECTRANS SFWLICENSE SFWLINE SFWVIEWSFWVIEWLINE SHIFT SHIFTPATTERNDAY SHIFTRANGE SHIPMENT SHIPMENTLINE SITE SITEAUTH SITEECOM SKDACTIVITYQBE SKDEXTRACAPACITY SKDEXTRACAPCRAFTVIEW SKDEXTRACAPCREWVIEW SKDEXTRACAPTOOLVIEWSKDORIGINDESTMATRIX SKDOVERRIDEAVAIL SKDPMFORECAST SKDPMFORECASTJP SKDPROJECT SKDPROJECTASSTS SKDPROJECTSHIFTS SKDUSAGE SKDWOMODIFYDETAIL SKDWORKPLANEXTCAP SLA SLADUMMYSTATUS SLARECORDS SLROUTE SOLUTION SOLUTIONSPEC SPAREPART SPLEXICONLINK SPLITUSELINE SPRELATEDASSET SPWORKASSET SR TAGLOCK TAGOUT TAX TAXORDER TAXTYPE TERM TICKET TICKETSPEC TIMEZONERULE TKOWNERHISTORY TKSERVICEADDRESS TKSTATUS TKTEMPLATE TKTEMPLATESPEC TKTEMPLTACTIVITY TKTEMPLTACTYSPEC TLOAMPRMDFLT TLOAMPRMVALUE TLOAMPROMOTE TOOLINV TOOLQUAL TOOLTRANS TRANSFERCURITEM UNASSIGNEDWORKVIEW USERPURGL VENDORSTATUS VIEWCONTINPUT WARRANTYASSET WARRANTYLINE WARRANTYVIEW WARRANTYVIEWLINE WEATHERZONE WHEREUSED WMASSIGNMENT WMASSIGNTMP WMMATCH WMMATCHCRW WOACTIVITY WOANCESTOR WOASSETSTOMOVEWOASSETTYPE WOASSETUSERCUST WOCHANGE WOCONTRACT

Maximo Database

Page 5: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

Cognos Analytics multiple data sources

package

data server

files

data modules

CognosAnalytics

Page 6: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

Maximo 7.6.1

Maximo Database

Cognos Analytics Server

Meta Data Publishing (Integration Framework)

Maximo 7.6 Cognos: Package Publishing

Page 7: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

define connection to maximo database

maximo database

data server

Page 8: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

• Overview• Entitlement and licenses• New user interface• New features: Sources• Packages, Data Server, Files, Data Modules• New features: Dashboards• New features: Reports: Standard and Active• Integration Installation

http://bit.ly/2vgmfYc

Maximo Cognos Analytics video series

On-Line Forum

Page 9: April 11, 2019 The Evolution of Business Intelligence and … · 2019. 4. 15. · 3. Casual Users. Power Users. Data Analysts 8%. Data Scientists 2%. Data Explorers 30%. Data Consumers

QUESTIONS ?

THANK YOU.