Marc Andrews Vice President, Big Data Industry Team Presented by Kirk Boothe Worldwide Big Data Enablement. Big Data and Analytics

Transcription

1 Marc Andrews Vice President, Big Data Industry Team Presented by Kirk Boothe Worldwide Big Data Enablement Big Data and Analytics

2 How is Big Data transforming the way organizations analyze and generate actionable insights?

3 Paradigm shifts enabled by big data Leverage more of the data being captured TRADITIONAL APPROACH BIG DATA APPROACH All available Analyzed All available analyzed Analyze small subsets of Information Analyze all

4 Paradigm shifts enabled by big data Reduce effort required to leverage data TRADITIONAL APPROACH BIG DATA APPROACH Small amount of carefully organized Large amount of messy Carefully cleanse before any analysis Analyze as is, cleanse as needed

5 Paradigm shifts enabled by big data Data leads the way and sometimes correlations are good enough TRADITIONAL APPROACH BIG DATA APPROACH Hypothesis Question Data Exploration Answer Data Insight Correlation Start with hypothesis and test against selected data Explore all data and identify correlations

6 Paradigm shifts enabled by big data Leverage data as it is captured TRADITIONAL APPROACH BIG DATA APPROACH Data Analysis Data Repository Analysis Insight Insight Analyze data after it s been processed and landed in a warehouse or mart Analyze data in motion as it s generated, in real-time

7 How have most companies made available for decision making across the enterprise?

8 Traditional enterprise data and analytics environments Extract, normalize and provide guided, interactive access to operational data Data types Actionable insight Transaction and application data Operational Staging area warehouse Data mart Reporting and analysis

9 Traditional enterprise data and analytics environments Deliver data for deeper analysis and modeling Data types Actionable insight Predictive analytics and modeling Transaction and application data Operational Staging area warehouse Data mart Reporting and analysis

10 Traditional enterprise data and analytics environments Typical enterprise data management environment Data types Actionable insight Predictive analytics and modeling Transaction and application data Operational Staging area warehouse Data mart Reporting and analysis Archive

11 How are leading companies transforming their data and analytics environment to provide faster, better insights at reduced costs?

12 Big Data Hadoop There s a belief that if you want big data, you need to go out and buy Hadoop and then you re pretty much set. People shouldn t get ideas about turning off their relational systems and replacing them with Hadoop. Ken Rudin Head of Analytics at Facebook

13 Better through transformation Deliver faster, deeper insights while reducing costs Data types Actionable insight Predictive analytics and modeling Transaction and application data Operational Staging area warehouse Data mart Reporting and analysis Archive

14 Better through transformation Leverage column-store and in-memory capabilities to improve performance of reporting & analysis Data types Actionable insight Predictive analytics and modeling Transaction and application data Operational Staging area warehouse Reporting & interactive analysis Reporting and analysis Archive

15 Better through transformation Provide dedicated analytics processing for faster, deeper analysis and modeling Data types Actionable insight Deep analytics & modeling Predictive analytics and modeling Transaction and application data Operational Staging area warehouse Reporting & interactive analysis Reporting and analysis Archive

16 Better through transformation Leverage Hadoop to capture operational data, leverage additional data types and enable exploration of data prior to normalization Data types Actionable insight Image and video content + Deep analytics & modeling Predictive analytics and modeling Transaction and application data Social data Third-party data Operational Exploration, landing and archive warehouse Archive Reporting & interactive analysis Reporting, analysis, content analytics Discovery and exploration

17 Better through transformation Leverage Hadoop for archive Data types Actionable insight Image and video content Transaction and application data Social data Third-party data Operational + + Exploration, landing and archive warehouse Archive Deep analytics & modeling Reporting & interactive analysis Predictive analytics and modeling Reporting, analysis, content analytics Discovery and exploration

18 Better through transformation Leverage data in motion Data types Real-time analytics Actionable insight Machine and sensor data Image and video content Transaction and application data Social data Third-party data Operational + + Exploration, landing and archive warehouse Deep analytics & modeling Reporting & interactive analysis Decision management Predictive analytics and modeling Reporting, analysis, content analytics Discovery and exploration

19 Better through transformation Extend transformation, matching, security and governance capabilities to ALL data Data types Real-time analytics Actionable insight Machine and sensor data Image and video content Transaction and application data Social data Third-party data Operational Information Integration Data Quality + + Exploration, landing and archive Data Matching & MDM warehouse Metadata & Lineage Security & Privacy Deep analytics & modeling Reporting & interactive analysis Lifecycle Management Decision management Predictive analytics and modeling Reporting, analysis, content analytics Discovery and exploration

20 Next generation architecture for delivering and insights Data types Real-time analytics Actionable insight Machine and sensor data Image and video content Transaction and application data Social data Third-party data Operational + + Exploration, landing and archive warehouse Deep analytics & modeling Reporting & interactive analysis Decision management Predictive analytics and modeling Reporting, analysis, content analytics Discovery and exploration Information governance

21 IBM Big Data & Analytics offerings Data types INFOSPHERE STREAMS Real-time analytics Actionable insight Machine and sensor data Image and video content Transaction and application data Social data Third-party data DB2, INFORMIX Operational INFOSPHERE BIGINSIGHTS Exploration, landing and archive PUREDATA OPERATIONAL ANALYTICS warehouse PUREDATA ANALYTICS Deep analytics & modeling DB2 BLU PUREDATA ANALYTICS Reporting & interactive analysis SPSS MODELER GOLD Decision management SPSS MODELER Predictive analytics and modeling COGNOS BI COGNOS TM1 Reporting, analysis, content analytics DATA EXPLORER SPSANALYTICATALYST Discovery and exploration INFORMATION SERVER, MDM, G2, GUARDIUM, OPTIM Information governance

22 What are IBM s key differentiators?

23 Key differentiators More than Hadoop Data in Motion Analytics Everywhere Complete Portfolio Domain Expertise

24 The IBM difference Services Software Hardware Research Imagine it. Realize it. Trust it. Build a culture that infuses analytics everywhere Invest in a big data & analytics platform Be proactive about privacy, security and governance