Sentient Enterprise for Dummies Where do we start?

Transcription

1 1 Sentient Enterprise for Dummies Where do we start?

2 Helping our Clients be More Successful Capability Shift Technology Agile Data Warehouse Behavioral Data Platform Cultural Shift People and Process Collaborative Ideation Platform Analytical Application Platform Automation Shift Smarter Machines Autonomous Decisioning Platform 2

3 3 Choosing Your Path

4 Agile Data: IDWs + VDMs + Federation Extend data warehouse Ensure agile innovation, incubation Efficient virtual data marts Build out the Unified Data Architecture New relaxed governance rules Dependent marts to avoid data drift Freedom to fail forward Consolidate cloud marts, Hadoop marts 4

5 Data drift A Data Mart Cannot be Cheap Enough to Justify its Existence Maintaining separate databases Weekly/daily/hourly data transfers Data inconsistencies Data duplication and costs Increased complexity Loss of control Executive reconciliation debates 5

6 Agile Data: Products, Services, Partners Products Services IDW, Data Labs, TVME, Aster Analytics Teradata Cloud, Teradata on AWS Federated BI tools, QueryGrid Data mart consolidation Data lakes consolidation Readiness and maturity assessments Partners Informatica, Composite AWS, Azure 6

7 Services People Agile Data: People and Process Products Foster a culture of innovation Permit people to fail forward Use agile processes liberally But not exclusively Flexible governance Levels of control, not data jailors Faster deployments needed 7

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9 From Transactions to Interactions Value from behaviors: the Why Listening to the Data Non-coupled and loosely coupled data End-to-end customer experience Continuous event streams Data granularity and structure Machine to machine behaviors From once a day to once a second New analytics new KPIs 9

10 Behavioral Data: Products, Services, Partners Products Services UDA platforms, name-value-pairs extraction Aster Npath, statistics, text analysis, and graph Data placement plans (cost and temperature) Data integration offers, transformation tools Data lake data integration Partners Informatica, IBM Datastage SAS, FuzzyLogix, Microsoft R Server 10

11 Services People Behavioral Data: People and Process Products Data scientists arrive Finding new questions New KPIs and analytic skills Search, Python, R 1000s of segments Analytics not just reports Bayes, neural net, npath, graphs 11

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13 Collaborative Ideation: Crowd Sourcing Analytics Crowdsourcing analytic knowledge Analyze my analytics Who can help me? Our Wikipedia of analytics What data is popular? Internal LinkedIn of analytics experts Corporate articles on KPIs and aggregates Where did this data come from? Who has done this analysis before? 13

14 Collaborative Ideation: Products, Services, Partners Products Data Lab Search (Solr, ElasticSearch) Services Partners Knowledge management consulting Wiki and portal builders Alation Panorama Necto, Yellowfin, Cognos ProFinda, WhoKnows, Jive Software 14

15 Services People Collaborative Ideation: People and Process Products Management objectives Foster collaboration efforts Contributing knowledge is your job Go beyond silo boundaries Reuse existing reports, dashboards Compose faster, easier Search for existing queries, analytics Catalog: tagging, blogs, forums Content tagging Data and file lineage 15

16 Analytics on Your Analytics Endorsements, deprecations & warnings propagate best practices Subject matter experts by table usage Lineage tracks deprecations and changes Like Wikipedia for analytics Data stewards Popularity of columns in queries 16

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18 Analytical Application: What is It? Analytics App Store needed App platform Crowdsource app building Collections of easy to use functions Portals, templates, mashup builders Consultants, programmers, business people, interns, 3 rd parties Self service tools: build and share a report Foster and collect intellectual capital apps Agile methods + IP capture 18

19 Analytical Application: Capturing Intellectual Capital Products Services AppCenter 2.0 App framework, portal build Design workflows Capture intellectual capital, build resusable Apps Partners WebSphere Portal, Liferay Portal BI vendor apps (MicroStrategy, Cognos, etc.) 19

20 Services People Analytical Application: People and Process Products App store for your business Easy to use software Easy to share Capturing intellectual capital from many Let me build scripts and apps too Business analysts Data scientists Capture reusable code 20

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22 Autonomous Decisioning People don t scale out Embedded algorithms Algorithmic Apps Too much data, too many reports and dashboards Machines make operational decisions at scale Display anomalies, and outliers only A lot of sifting, little decision making Example: recommendation engines Predict and fix problems before they occur 22

23 Autonomous Decisioning: Products, Services, Partners Products Active Data Warehouse DCM, Value Analyzer Apache Hbase Services Partners Develop & test algorithms Embed into websites or applications Machine learning libraries: SAS, Fuzzy Logix, R Rules engines, BPMS suites InfoSphere Streams, Tibco BusinessEvents 23

24 Services People Autonomous Decisioning: People and Process Products Work with developers on business rules Business people own the rules Embed the rules in software Handle outliers and anomalies only Focus on only the important alerts People synthesize complex responses 24

25 Sentient Enterprise Summary 25

26 100% 50% 0% Are We There Yet? Capability Shift technology drivers Virtual marts Agility Data warehouse Behavioral analysis Listening Non & loose coupled data Cultural Shift people and process drivers Finding experts Crowd source knowledge Analyze my analytics App store Quick App creation Apps platform Automation Shift efficiency drivers Exceptions People Embedded Algorithms Active UDA 26

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