Enable Rapid Innovation with Informatica and MicroStrategy for Hybrid IT

Transcription

1 Enable Rapid Innovation with Informatica and MicroStrategy for Hybrid IT Darren Cunningham, Informatica Cloud Roger Nolan, Informatica Data Integration and Data Quality 1

2 About Us Informatica: NASDAQ: INFA Market leader in data integration, data quality, MDM Have partnered with MicroStrategy for +10 years Today s speakers: Darren Cunningham Spent 7 years at Business Objects Responsible for Informatica Cloud solutions Roger Nolan Extensive enterprise software experience Responsible for analytical Informatica 2

3 Today s Agenda Welcome to the Era of Hybrid IT Trusted Data for Analytics 5 Things that Can Go Wrong! Cloud Data Integration and Cloud BI Discussion and Next Steps 3

4 Our View of the Megatrends IT is changing FUTURE Cloud Interactions Mobile PAST On-Premise Transactions Desktops WHERE WHAT HOW 4

5 The Impact of Data Integration Data is changing FUTURE Cloud Interactions Mobile PAST On-Premise Transactions Desktops WHERE WHAT HOW 5

6 We Call it the Era Hybrid IT SaaS PaaS IaaS Your New Hybrid IT Org Your IT Org Custom Application Mainframe Custom Application Custom Application Custom Application Custom Application Your Company 6

7 A Few Enterprise Cloud Adoption Stats Large, Accelerating Market 4-6x growth rate of on-premise IT 20-27% CAGR $20-40B market (Forrester, IDC, Gartner, 451Group) 60% of all companies using SaaS w/in 12 months (Forrester) SaaS largest category PaaS fastest growing (Forrester) 84% of net new software is now SaaS (IDC) Led by Large Enterprises 76% enterprises have a formal cloud strategy (Forrester) 74% using cloud will increase cloud spend > 20% (IDC) Driven by IT 90% Cloud decisions and operations involve IT (IDC) 66% SaaS POs signed by IT (IDC) 7

8 Why SaaS? 1. Lower Cost 2. Faster to Deploy 3. Regional 4. Opex vs. Capex 5. User Acceptance 8

9 So if this is the case 9

10 And this is the case Top Impediments Preventing Cloud Adoption 1. Security 2. Data Sovereignty 3. Lack of Integration 4. Lack of Strategy 10

11 Not to mention this Why do so many Data Warehouse projects fail? Notoriously Expensive Lack of Trust Massive Over runs Integration project costs run between $250k and $1m Only 3 in 10 orgs view the data used in their analyses as always accurate On average it takes 7.8 weeks to add a new data source 11

12 Get Ready for Cloud Analytics and Cloud Data Management! 12

13 But First, Let s Talk About Trust Notoriously Expensive Lack of Trust Massive Over runs Integration project costs run between $250k and $1m Only 3 in 10 orgs view the data used in their analyses as always accurate On average it takes 7.8 weeks to add a new data source 13

14 14 Trusted Data for Analytics: Five Things That Can Go Very Wrong

15 Your Data Analytics Project What is Important to You? PRODUCTIVITY? 15

16 The Problem Trusted data for informed business decisions TRUST 40% of executives say they are making business decisions based on data they do not trust. Survey by SimCorp. Jan

17 Business Decisions are Only as Good as the Data Business analysts can spend as much as 15% of their time responding to business term definition requests 17

18 It s a Data Quality Issue Right?. 18

19 Five Ways Data Can Go Wrong And Your Business Decisions Can Go Wrong 1. The Data is Bad 2. Errors Moving Data 3. Errors Managing DI Change 4. Errors Understanding Data Meaning 5. Unseen Events. 19

20 The Data is Bad Classic is Data Quality Profiling, de-duping, missing records, format checks, address correction, etc. What s New Discovering relationships. 20

21 Errors Moving Data Two Scenarios Data is the same Data is transformed The Problem Lack of tools to address Lack of time to text completely 21

22 Errors Managing Data Integration Change You can t manage what you can t see.. 22

23 Errors Understanding Data Meaning Claims Paid Date Date Claim Approved Date Check Cut Date Check Cleared Business Decision 23

24 Unseen Events How do you monitor your DI and DQ environment? Business IT DW DM DM DM DM 24

25 Trusted Data for Analytics Your decisions are only as good as your data Build quality in. Don t test Quality in. Business-IT collaboration is critical to success Cloud adoption will make this even more critical! 25

26 Today s Agenda Welcome to the Era of Hybrid IT Trusted Data for Analytics 5 Things that Can Go Wrong! Cloud Data Integration and Cloud BI Discussion and Next Steps 26

27 Primary Cloud Data Management Use Cases 1. Cloud Application Migration 2. Operational Cloud Application Integration 3. Analytics (on the rise in the cloud) 4. Back-up / Compliance 5. Data Quality / MDM 27

28 Informatica Cloud Simplicity Rapid Deployment Unified Platform Purpose-built integration apps Designed for self service Universal connectivity Multitenant integration apps and MDM Implement in days Automatic upgrades Write once, deploy anywhere, integrate everywhere! Interoperability for Hybrid IT 28

29 High-Level Architecture Your Company 1 2 Secure Agent 3 Data Loader Data Sync Data Replication Contact Validation Master Data Management Data Quality Assessment Custom Apps 29

30 Trust.InformaticaCloud.com +1B records /day! 30

31 Replicating Data to On-Premise Target 31

32 Cloud-Based BI: Informatica Inside 32

33 Today s Agenda Welcome to the Era of Hybrid IT Trusted Data for Analytics 5 Things that Can Go Wrong! Cloud Data Integration and Cloud BI Discussion and Next Steps 33

34 Discussion and Next Steps Darren Cunningham Roger Nolan Thank You for Attending! 34

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