Information Management Strategy: Exploiting Big data and Advanced Analytics

Transcription

1 Information Managmnt Stratgy: Exploiting Big data and Advancd Analytics William Duply Stratgist HP Cloud Hwltt-Packard Canada

2 Big : What w ar building: Actionabl intllignc Businss valu Traditional BI/MIS/CRM/ data warhous SW vndor scop Rporting What happnd? Businss intllignc Why? Diagnostic Advancd analytics What will happn? Prdictiv Insight What should I do? Optimization Forsight Advancd analytics Dscriptiv Hindsight 2 Analytics volution

3 1. HP Cas study: Voic of th Workforc Insight Hypothsis: W will b abl to dvlop mor comprhnsiv corrctiv plan if w could analyz VoW rsults to dtrmin th fling of th mploys Advancd Analytics Approach Autonomy Explor loadd with VoW commnts data aim discovr smantic maning from th writtn commnts Ky discovris Commnt data had not bn mind othr than ky word sarch in th past Abl to dtrmin consistnt maning rathr than intrprtation by lin managrs Ovrall mploy bas concrnd for HP futur but saw th right stps starting Explor 3-3 -

4 2. HP Cas study: Gn 8 Srvr Call hom analysis Insight Hypothsis: W may b abl to rduc failur and outags if w can rad th Gn 8 Call hom data captur and dtrmin corrlations. Approach Aggrgat th Gn 8 srvr call hom data packags. Gn 8 monitors 1600 attributs and snds ncryptd data packags to HP Mthod Encryptd xml data fil snt from srvr to HP scurity gatway Fil is unwrappd and loadd into Hadoop Hadoop supports a schma on rad fatur that allows to map an SQL structur Som rlationships and xtract and loadd into Vrtica SAS is usd to Visualiz th data in Vrtica Toa d Qur y Build r SAS /R Adva ncd Analy tics Lgacy Businss Ownd Oprational Unstruct. Human Businss Busins s Ownd Businss 3rd Party C h a t Snti mnt Analy sis SQL / Vrtica Autonomy C al l C n t r BI Sarc h Wb & Mobil S o ci al M di a Qlik Flxib viw l Rpo rting A u di o V id o Intract Businss iv Objcts Multidi Rport Writr Struct m. urd Rporti Rpo ng rting Informatica Virtualization IDOL M ai l N w s M di a Hadoop Machin L o g s Scor cards C o n fi g Analy Cust om tic Appli cation s Vrtica Analytic DW Exc l / Plann Ess bas ing & Simul ation MS Paralll warhou s Rlational DW Autonomy Hadoop ETL (Informatica) Financ Sals & Srvic Supply Markti ng s Chain Unstructurd Contnt Big S t a t u s Entrpris Rsults Rlationship hav bn found btwn 3 configuration changs that if don in squnc will produc a srvic call within 24 hours Qlik viw Intra ction Auto Optim nom izatio y n & Scori ng Collaboration Portal Dashboard Mobility Alrts Administra tion Scurity Manag ability Mtadat a Mastr data manag mnt Quality control 4

5 Th changing natur of BI systms Th lins btwn traditional OLTP, OLAP and Analytics workloads hav blurrd Transactional Sals Financ Markting Oprations CRM ETL and Information Managmnt warhous Analytics and Rports/Dashboards Analytics cubs Rporting, analysis & visualization tools 5 HR Sals Targts, Financ Targts, tc. xtract, clans, intgrat Extract Transform Homognizd grain, tim rlationships, dimnsionality Load (Structurd data (Build Normalizd form) (Into analytical tool) Copyright 2014 Hwltt-Packard Dvlopmnt Company, L.P. sourc) Th information containd hrin is subjct to chang without notic. Businss calculations, Summarization, hirarchis Rport (Static)

6 Concptual nd-stat architctur UNSTRUCTURED Forsight: Actionabl intllignc: What should I do? Insight: Advancd analytics: What will happn? STRUCTURED Hindsight: Rporting: What happnd? BI: Why? Ral Tim Rspons Advancd Analytics Foundational Businss Intllignc DATA SCIENTISTS BUSINESS ANALYSTS MANAGEMENT APPLICATIONS/Public Cloud (Aas) Accss Srvics Advancd Analytics Load Sntimnt Analysis Analytical Enablmnt BI Sarch Mash-ups Intractiv Multidim. Rporting Virtualization Structurd Rporting Architctur Enablmnt Transform Extract Scorcards (Into Prsntation/Analytical (Structurd/unstructurd data/vnts (Build Rlationships) Tool) MDM Lgacy Businss Ownd Oprational Unstruct. Human On-boarding Machin Analytic Applications Illustrat Accss Srvics (Dynamic ral tim) SaaS Analytic DW Intgration Rlational Stor DW Intraction Optimizatio n & Scoring SaaS Intgration Elastic infrastructur provisioning bas Oprations Scurity Dfinition Industry Businss Ownd 6 3rd Party Chat Quality Call Cnt r Wb & Mobil Social Mdia Trustd Dfinition Audio Vido Unstructurd Information Managmnt Mail Nws Mdia Logs Config Status Big Financ clansing and profiling Sals & Markting Srvics Supply Chain Structurd Information Managmnt accss prmission

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8 Information managmnt architctur xampl UNSTRUCTURED Forsight: Actionabl intllignc: What should I do? Insight: Advancd analytics: What will happn? STRUCTURED Hindsight: Rporting: What happnd? BI: Why? Ral Tim Rspons Advancd Analytics Foundational Businss Intllignc CONSUMPTION Toad Qury Buildr DATA SCIENTISTS SAS/R Spot Fir Tablau Advancd Analytics Sntimnt Analysis Autonomy BUSINESS ANALYSTS BI Sarch Qlikviw Flxibl Rporting Intractiv Multidim. Rporting MANAGEMENT Businss Objcts Rport Writr Structurd Rporting Qlikviw Scorcards Custom Analytic Applications APPLICATIONS Excl / Essbas Planning & Simulation Autonomy Explor Intraction Optimization & Scoring Collaboration Portal Dashboard Mobility Alrts MANAGEMENT COLLECTION 8 IDS Intgratd Stor Lgacy Corporat Businss unit Systms Businss Ownd 3rd Party Businss unit SQL / Vrtica Businss Unit Chat Call Cntr SAP Hana Ral Tim DB Wb & Mobil Social Mdia Virtualization Unstruct. Human Audio Vido IDOL Mail Nws Mdia Hadoop Machin/Fil Logs Config Status Vrtica Analytic DW Financ Sals & Markting Entrpris warhous Rlational DW Autonomy Hadoop ETL (Informatica) Srvics Unstructurd Big Structurd Supply Chain Administration Scurity Managability Mtadata Mastr data managmnt Quality control

9 Nw Tchnology: Rapid Hadoop Clustr Dvlopmnt Sahara provid usrs with simpl mans to provision Hadoop clustrs Aftr usr fills in all th paramtrs, Sahara dploys th clustr in a fw minuts. Also Sahara provids mans to scal alrady provisiond clustr by adding/rmoving workr 9nods on dmand.

10 hp.com/go/bigdata