SlideShare a Scribd company logo
1 of 22
Download to read offline
Business Analytics software




IBM Business Analytics
Deepak Advani
VP, Business Analytics Products & Solutions
February 7, 2012




                                              © 2011 IBM Corporation
Imagine if you could…




       … track disease
   outbreaks across country
     borders in real time?




                              © 2009 IBM Corporation
Imagine if you could…




   …catch money laundering
     before it happens?




                             © 2009 IBM Corporation
Imagine if you could…




   … apply social relationships
    of customers to prevent
            churn?




                                  © 2009 IBM Corporation
Imagine if you could…




       …identify at-risk
     students before they
      drop out of school?




                            © 2009 IBM Corporation
Business Analytics software




    Our world is becoming smarter

                              Instrumented


                              Interconnected


                              Intelligent




6                                              © 2011 IBM Corporation
Business Analytics software


With this change comes an                  … Yet organizations are
explosion in information …                 operating with blind spots

                                            Lack of Insight
                                            1 in 3 managers frequently make
                                            critical decisions without the
                                            information they need
                Volume of Digital Data



                                            Inefficient Access
                                            1 in 2 don’t have access to the
                                            information across their organization
                                            needed to do their jobs
                Variety of Information



                                            Inability to Predict
                                            3 in 4 business leaders say more
                                            predictive information would drive better
                                            decisions
             Velocity of Decision Making


                                                                                     © 2011 IBM Corporation
                                                                Source: IBM Institute for Business Value
Opportunity for value creation is significant, and growing


                                   Data AVAILABLE to an
                                        organization
                                                              Missed
                                                                     ity
                                                             opportun

                                                     data an organization can
                                                            PROCESS




     Organizations are able to
                                            Enterprises are “more blind”
    process less and less of the
                                               to new opportunities.
          available data.



8                                                                © 2009 IBM Corporation
Business Analytics software




hanging Business Imperatives
   The Vast Majority of CMOs are Underprepared
                                    Marketing Priority Matrix                                                  1       Data explosion
                Underpreparedness
                Percent of CMOs reporting                                                                      2       Social media
                underprepared
                                                        1                                                      3       Growth of channel and device choices
          70
                                                                           2                                   4       Shifting consumer demographics
                                                                                    3
                                                                                                               5       Financial constraints
                                                       4                                                       6       Decreasing brand loyalty
          60
                                                5                                                              7       Growth market opportunities
                                                                6
                               10               7                   8                     9
                                                                                                               8       ROI accountability
                          11
                                                                                                               9       Customer collaboration and influence
          50                                     12                                                           10       Privacy considerations
                                     13
                                                                                                              11       Global outsourcing
                                                                Factors impacting
                                                                marketing                                     12       Regulatory considerations
          40                                                    Percent of CMOs selecting
                                                                as “Top five factors”                         13       Corporate transparency
               0                    20                     40                  60                                     Mean

       9
    Source: Q7 Which of the following market factors will have the most impact on your marketing organization over the next 3 to 5 years? n1=1733; Q8 How prepared are you to
            manage the impact of the top 5 market factors that will have the most impact on your marketing organization over the next 3 to 5 years?
            n2=149 to 1141 (n2 = number of respondents who selected the factor as important in Q7)
                                                                                                                                                                 © 2011 IBM Corporation
IBM investments in Analytics and Big Data

      More than $14B in Acquisitions
       Since 2005                                               Hadoop
      More than 10,000 Technical
       Professionals
      More than 7,500 Dedicated           Information                          Stream
       Consultants                          Integration                         Computing
      Largest Math Department
       in Private Industry
      More than 27,000 Business
       Partner Certifications
      Source: IBM BAO                                         Data Warehouse




            Analyze            Analyze            Analyze          Discover &         Manage
         Information         Information          Extreme          Experiment          & Plan
        of any Variety        in Motion         Volumes of
10                                              Information                       © 2012 IBM Corporation
Complementary Analytics
                     Traditional Approach                                  New Approach
                     Structured, analytical, logical                 Creative, holistic thought, intuition




                                 Data                                   Hadoop
                              W arehouse                                Streams
       Transaction Data                                                                                 Web Logs


    Internal App Data                                                                                        Social Data
                      Structured
                           Structured                                         Unstructured
                     Repeatable                        Enterprise
                                                                        Unstructured
                                                                              Exploratory
    Mainframe Data
                          Repeatable
                          Linear                       Integration      Exploratory
                                                                              Iterative   Text Data: emails
                                 Linear
              Monthly sales reports                                         Iterative sentiment
                                                                                 Brand
               Profitability analysis                                               Product strategy
       OLTP System Data surveys
                 Customer                                                           Maximum asset utilization images
                                                                                                Sensor data:


          ERP data              Traditional                               New                            RFID
                                 Sources                                 Source
                                                                           s



                                                                                                                © 2012 IBM Corporation
Applications for Big Data Analytics
Smarter Healthcare   Multi-channel     Finance     Log Analysis
                         sales




Homeland Security    Traffic Control   Telecom     Search Quality




  Manufacturing       Trading          Fraud and   Retail: Churn,
                      Analytics           Risk         NBO




   12                                                 © 2012 IBM Corporation
Three key trends are driving this movement:




     The emergence of   The shift of power to   Pressure to do more
         Big Data          the consumer              with less


13                                                       © 2012 IBM Corporation
Big Data Customer Examples

 Big Data for the CMO             Big Data for
                                 Smarter Planet        Big Data for Telco


                Financial                    Modern                    Telco
                Services                     Energy
                  Group




 ”Listen to the voice of        Reduced modeling      Latency reduced from
        clients”                time by 97%              12 hrs to 1 sec


5.8 terabytes of Internet   2.8 petabytes of public   6 billion Call Detail
and Social Media               and private weather    Records per day
                            data
Fix negative opinions and                             Personalized marketing
build on positive ones      Modeling time reduced     to individual customers
                            from weeks to hrs.

                                                                     © 2012 IBM Corporation
Correlate combined risk and
     impending weather threats to
        optimize inventory and      Dynamically updated
        determine supply chain       risk assessment
           recommendations              for assets in
                                       projected path



                                       Real-time projections
                                        of hurricane path




15                                                 © 2012 IBM Corporation
Business Analytics software

                                “The People’s Oscar”? - IBM Big Data Analytics at Work
                                 IBM Infosphere Streams used to process hundreds of tweets per minute in real time
                                 IBM Cognos Consumer Insight implemented on Hadoop cluster provides parallel analysis of
                                  tens of thousands of blogs and tweets for sentiment and emerging topics of discussion
                                 Partnership with LA Times to publish social insights in an interactive graphical environment
                                  for the general public to use
                                 Show case for big data analytics in media and entertainment, with future applications in film
                                  marketing, demand forecasting and release window optimization




  “Celebrities tweet their dismay and
   delight with the nominations”
  “the Twitterverse lit up with
   messages from movie fans excited
   about — and upset about — the
   picks in the best picture, lead actor
   and lead actress categories”
  “You might be surprised about
   which performers and movies got
   the most tweets — and who had
   the most positive buzz”


Powered by




                                                                                                                       © 2010 IBM Corporation
On February 14, 2011, IBM Watson changed history on the TV
 show Jeopardy.




       Word spread virally of the victory with
       Twitter reaching 11.7M, 30,121 blog
                   On the TV show Jeopardy



        mentions, and 15,025 forum posts




17
                                                          © 2012 IBM Corporation
Healthcare industry is beset with some of the most complex information
challenges we collectively face


    Medical information is
    doubling every 5 years,
    much of which is
    unstructured



    81% of physicians
    report spending 5
    hours or less per
    month reading medical
    journals


  “Medicine has become too complex. Only about 20% of the knowledge clinicians
    use today is evidence-base.”     Leading Chief Medical & Scientific Officer

                                                                              © 2012 IBM Corporation
Putting the pieces together at point of impact
     can be life changing




                                                                                                                               Fam toms


                                                                                                                               Med istor y
                                                                                                                                Pat story
                                                                                                                                 Sy m




                                                                                                                                   Fin ions
                                                                                                                                   .H
                                                                                                                                   . Hi
                                                                            difficulty swallowing




                                                                                                                                    ica
  Patient
 Symptoms
   Family
Medications
 Findings




                                                                                                                                      p
                                                      Symptoms
                                                                                fever                      Diagnosis Models




                                                                                                                                       din
                                                                                                                                                    Confidence




                                                                                                                                        t
                                                                              dry mouth




                                                                                                                                          gs
                                                                               thirst

  History
  History
                                                                              anorexia
     A AA medications were levothyroxine,
       Her urine dipstick was complains of
         58-year-old woman presented forher
           58-year-old woman positive to                                    frequent urination                Renal Failure
      hydroxychloroquine, pravastatin, and
        primary care anorexia, dry mouth,
          dizziness, physician after several                                  dizziness
       leukocyte esterase and nitrites. The                                   no abdominal pain
     dayshistory was notable for cutaneous
     Her increased thirst, andgiven amouth,
            of dizziness,patient frequent
                     alendronate. dry
                           anorexia,                                          no back pain                               UTI
        Herincreased thirst,also hadoral and
             familyShefo ciprofloxacin for a
                    history included a fever.
         prescription had and frequent
        urination.                                                            no cough
       lupus, hyperlipidemia, osteoporosis,
     She reported no pain mother, fever
     bladder cancer in her in 3 had a later,
        urination. She had also daysGraves'
      frequent tract infection. her abdomen,
        urinary urinary tract infections, a left                              no diarrhea
                                                                                                                   Diabetes
         and reported for two sisters, andand
         back,disease in weakness
      oophorectomy thatafood would “get
                and no cough, or diarrhea.
           patient reported benign cyst,                                        Oral cancer
                                                   History
                                                                                 Bladder cancer
                                                   Family


     stuck” when she was onediagnosed a
       hemochromatosis in swallowing. She
                                    sister, and
      dizziness. Her supine blood pressure
      primary hypothyroidism,                                                   Hemochromatosis                   Influenza
      idiopathic thrombocytopenic purpura
        was 120/80 mm Hg, and abdomen,
         reported noyear earlier pulse was
                        pain in her                                             Purpura
            back, orin oneand no cough,
                      flank sister
                           88.                                                  Graves’ Disease
                                                                                                              Hypokalemia
                                                                               (Thyroid Autoimmune)
          shortness of breath, diarrhea, or
                                                                                cutaneous lupus
                         dysuria
                                                      Findings Medications History
                                                   Patient




                                                                                osteoporosis
                                                                                hyperlipidemia                 Esophagitis
                                                                                frequent UTI
                                                                                hypothyroidism
                                                                                                            • Extract Symptoms from record
                                                                                     Alendronate           Most Confident Diagnosis: UTI to handle
                                                                                                           • Most Confident Diagnosis: text
                                                                                                             Use paraphrasings mined from Influenza
                                                                                                                                         Diabetes
                                                                                                                                         Esophagitis
                                                                                     pravastatin           ••• Extract Medications and variants
                                                                                                             • Extract Patient History
                                                                                                                Identify negative Symptoms
                                                                                                                 Extract Family
                                                                                                                alternate phrasings
                                                                                     levothyroxine         • • Use database Taxonomies to generalize medical
                                                                                                             • Reason with mined relations to explain away
                                                                                                                 Use Medical of drug side-effects
                                                                                                                Perform broad search for possible diagnoses
                                                                                      hydroxychloroquine   • • Together, multiple is consistent w/best the models
                                                                                                                symptoms (thirst diagnoses may UTI) explain
                                                                                                                Score Confidence granularity used by
                                                                                                                 conditions to the in each diagnosis based on
                                                                                 urine dipstick:               symptomsso far
                                                                                                                evidence
                                                                                 leukocyte esterase        • Extract Findings: Confirms that UTI was present
                                                                                 supine 120/80 mm HG
                                                                                  heart rate: 88 bpm
                                                                                 urine culture: E. Coli

19                                                                                                                                                  © 2012 IBM Corporation
Cancer is an insidious disease and the second highest
cause of death

       1 in 3                                    1.5M+
 individuals will die                    were diagnosed
    from cancer                         with cancer in the
                                            US in 2011

           X



      50 yr.+                                 $263.8B
the time current cancer               overall costs of cancer
 treatments have been                    in the US in 2010
around (chemotherapy,
   radiotherapy, etc.)                       $$$$$$$$$$$$
                                             $$$$$$$$$$$$
                                             $$$$$$$$$$$$
                                             $$$$$$$$$$$$

      Source: American Cancer Society, National Health Institute
20                                                                 © 2012 IBM Corporation
From battling humans on Jeopardy! to changing the way the world
thinks, acts, and operates


         Healthcare                            Financial Services
         Diagnostic/treatment                  Investment and retirement
         assistance, evidenced-based           planning, institutional trading
         insights, collaborative medicine      and decision support


         Contact Center                        Government
         Call center and tech support          Public safety, improved
         services, enterprise knowledge        information sharing, security,
         management, consumer insight          fraud and abuse prevention




             IBM Watson has the capabilities to address grand
                   business and societal challenges
                                                                        © 2012 IBM Corporation
Business Analytics software




                              ibm.com/bigdata




22                                              © 2011 IBM Corporation

More Related Content

What's hot

Telco Big Data 2012 Highlights
Telco Big Data 2012 HighlightsTelco Big Data 2012 Highlights
Telco Big Data 2012 HighlightsAlan Quayle
 
Big Data Infrastructure and Analytics Solution on FITAT2013
Big Data Infrastructure and Analytics Solution on FITAT2013Big Data Infrastructure and Analytics Solution on FITAT2013
Big Data Infrastructure and Analytics Solution on FITAT2013Erdenebayar Erdenebileg
 
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...Impetus Technologies
 
IBM InfoSphere Data Replication for Big Data
IBM InfoSphere Data Replication for Big DataIBM InfoSphere Data Replication for Big Data
IBM InfoSphere Data Replication for Big DataIBM Analytics
 
Big Data vs Data Warehousing
Big Data vs Data WarehousingBig Data vs Data Warehousing
Big Data vs Data WarehousingThomas Kejser
 
1524 how ibm's big data solution can help you gain insight into your data cen...
1524 how ibm's big data solution can help you gain insight into your data cen...1524 how ibm's big data solution can help you gain insight into your data cen...
1524 how ibm's big data solution can help you gain insight into your data cen...IBM
 
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
 
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...StampedeCon
 
Integrating Hadoop Into the Enterprise
Integrating Hadoop Into the EnterpriseIntegrating Hadoop Into the Enterprise
Integrating Hadoop Into the EnterpriseDataWorks Summit
 
Protecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UKProtecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
 
Apache hadoop bigdata-in-banking
Apache hadoop bigdata-in-bankingApache hadoop bigdata-in-banking
Apache hadoop bigdata-in-bankingm_hepburn
 
Real-Time Analytics for Industries
Real-Time Analytics for IndustriesReal-Time Analytics for Industries
Real-Time Analytics for IndustriesAvadhoot Patwardhan
 
NextGen Infrastructure for Big Data
NextGen Infrastructure for Big DataNextGen Infrastructure for Big Data
NextGen Infrastructure for Big DataEd Dodds
 
Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...
Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...
Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...Vasu S
 
Monitizing Big Data at Telecom Service Providers
Monitizing Big Data at Telecom Service ProvidersMonitizing Big Data at Telecom Service Providers
Monitizing Big Data at Telecom Service ProvidersDataWorks Summit
 
Big Data World Forum
Big Data World ForumBig Data World Forum
Big Data World Forumbigdatawf
 

What's hot (20)

Telco Big Data 2012 Highlights
Telco Big Data 2012 HighlightsTelco Big Data 2012 Highlights
Telco Big Data 2012 Highlights
 
Big Data Infrastructure and Analytics Solution on FITAT2013
Big Data Infrastructure and Analytics Solution on FITAT2013Big Data Infrastructure and Analytics Solution on FITAT2013
Big Data Infrastructure and Analytics Solution on FITAT2013
 
Big Data Overview
Big Data OverviewBig Data Overview
Big Data Overview
 
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
Big Data Use Cases for Different Verticals and Adoption Patterns - Impetus We...
 
IBM InfoSphere Data Replication for Big Data
IBM InfoSphere Data Replication for Big DataIBM InfoSphere Data Replication for Big Data
IBM InfoSphere Data Replication for Big Data
 
Big Data vs Data Warehousing
Big Data vs Data WarehousingBig Data vs Data Warehousing
Big Data vs Data Warehousing
 
1524 how ibm's big data solution can help you gain insight into your data cen...
1524 how ibm's big data solution can help you gain insight into your data cen...1524 how ibm's big data solution can help you gain insight into your data cen...
1524 how ibm's big data solution can help you gain insight into your data cen...
 
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...
 
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...
 
GE’s Industrial Data Lake Platform
GE’s Industrial Data Lake PlatformGE’s Industrial Data Lake Platform
GE’s Industrial Data Lake Platform
 
Integrating Hadoop Into the Enterprise
Integrating Hadoop Into the EnterpriseIntegrating Hadoop Into the Enterprise
Integrating Hadoop Into the Enterprise
 
Protecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UKProtecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UK
 
Big Data Forum - Phoenix
Big Data Forum - PhoenixBig Data Forum - Phoenix
Big Data Forum - Phoenix
 
Apache hadoop bigdata-in-banking
Apache hadoop bigdata-in-bankingApache hadoop bigdata-in-banking
Apache hadoop bigdata-in-banking
 
Real-Time Analytics for Industries
Real-Time Analytics for IndustriesReal-Time Analytics for Industries
Real-Time Analytics for Industries
 
NextGen Infrastructure for Big Data
NextGen Infrastructure for Big DataNextGen Infrastructure for Big Data
NextGen Infrastructure for Big Data
 
Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...
Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...
Case Study - Spotad: Rebuilding And Optimizing Real-Time Mobile Adverting Bid...
 
Monitizing Big Data at Telecom Service Providers
Monitizing Big Data at Telecom Service ProvidersMonitizing Big Data at Telecom Service Providers
Monitizing Big Data at Telecom Service Providers
 
Big Data World Forum
Big Data World ForumBig Data World Forum
Big Data World Forum
 
Haven 2 0
Haven 2 0 Haven 2 0
Haven 2 0
 

Viewers also liked

Business analytics
Business analyticsBusiness analytics
Business analyticsSilla Rupesh
 
Ibm presentation ppt
Ibm presentation pptIbm presentation ppt
Ibm presentation pptravish28
 
Next Generation Business Analytics Technology Trends
Next Generation Business Analytics Technology TrendsNext Generation Business Analytics Technology Trends
Next Generation Business Analytics Technology TrendsLightship Partners LLC
 
Frank marino presentation
Frank marino presentationFrank marino presentation
Frank marino presentationMassTLC
 
MassTCL rapid development summit Kayak keynote
MassTCL rapid development summit Kayak keynoteMassTCL rapid development summit Kayak keynote
MassTCL rapid development summit Kayak keynoteMassTLC
 
Mobile Summit Fast Pitch
Mobile Summit Fast Pitch Mobile Summit Fast Pitch
Mobile Summit Fast Pitch MassTLC
 
Mobile Summit Mobilization of Workforce
Mobile Summit Mobilization of WorkforceMobile Summit Mobilization of Workforce
Mobile Summit Mobilization of WorkforceMassTLC
 
SolidWorks MassTLC video presentation
SolidWorks MassTLC video presentationSolidWorks MassTLC video presentation
SolidWorks MassTLC video presentationMassTLC
 
Brightcove presentation on Automated Testing
Brightcove presentation on Automated TestingBrightcove presentation on Automated Testing
Brightcove presentation on Automated TestingMassTLC
 
MassTLC Cloud summit keynote presentation from CTO of VMWare, Scott Davis
MassTLC Cloud summit keynote presentation from CTO of VMWare, Scott DavisMassTLC Cloud summit keynote presentation from CTO of VMWare, Scott Davis
MassTLC Cloud summit keynote presentation from CTO of VMWare, Scott DavisMassTLC
 
Mobile Summit Content is King!
Mobile Summit Content is King!Mobile Summit Content is King!
Mobile Summit Content is King!MassTLC
 
Boundless Continuous Delivery
Boundless Continuous DeliveryBoundless Continuous Delivery
Boundless Continuous DeliveryMassTLC
 
Dyn, Cory von Wallenstein
Dyn, Cory von WallensteinDyn, Cory von Wallenstein
Dyn, Cory von WallensteinMassTLC
 
Development teams: an untapped source of innovation that you must unlock!
Development teams: an untapped source of innovation that you must unlock!Development teams: an untapped source of innovation that you must unlock!
Development teams: an untapped source of innovation that you must unlock!MassTLC
 
Damon poole, Intro to Continuous Delivery
Damon poole, Intro to Continuous DeliveryDamon poole, Intro to Continuous Delivery
Damon poole, Intro to Continuous DeliveryMassTLC
 
Thoughtbot continuous delivery
Thoughtbot continuous deliveryThoughtbot continuous delivery
Thoughtbot continuous deliveryMassTLC
 
SmartBear marketing data preso
SmartBear marketing data presoSmartBear marketing data preso
SmartBear marketing data presoMassTLC
 
MassTLC seminar: Connecting Marketing to Revenue through Sales Analytics, En...
MassTLC seminar:  Connecting Marketing to Revenue through Sales Analytics, En...MassTLC seminar:  Connecting Marketing to Revenue through Sales Analytics, En...
MassTLC seminar: Connecting Marketing to Revenue through Sales Analytics, En...MassTLC
 
Holland Mark presentation
Holland Mark presentationHolland Mark presentation
Holland Mark presentationMassTLC
 
Rally Software on Distributed Agile Development
Rally Software on Distributed Agile DevelopmentRally Software on Distributed Agile Development
Rally Software on Distributed Agile DevelopmentMassTLC
 

Viewers also liked (20)

Business analytics
Business analyticsBusiness analytics
Business analytics
 
Ibm presentation ppt
Ibm presentation pptIbm presentation ppt
Ibm presentation ppt
 
Next Generation Business Analytics Technology Trends
Next Generation Business Analytics Technology TrendsNext Generation Business Analytics Technology Trends
Next Generation Business Analytics Technology Trends
 
Frank marino presentation
Frank marino presentationFrank marino presentation
Frank marino presentation
 
MassTCL rapid development summit Kayak keynote
MassTCL rapid development summit Kayak keynoteMassTCL rapid development summit Kayak keynote
MassTCL rapid development summit Kayak keynote
 
Mobile Summit Fast Pitch
Mobile Summit Fast Pitch Mobile Summit Fast Pitch
Mobile Summit Fast Pitch
 
Mobile Summit Mobilization of Workforce
Mobile Summit Mobilization of WorkforceMobile Summit Mobilization of Workforce
Mobile Summit Mobilization of Workforce
 
SolidWorks MassTLC video presentation
SolidWorks MassTLC video presentationSolidWorks MassTLC video presentation
SolidWorks MassTLC video presentation
 
Brightcove presentation on Automated Testing
Brightcove presentation on Automated TestingBrightcove presentation on Automated Testing
Brightcove presentation on Automated Testing
 
MassTLC Cloud summit keynote presentation from CTO of VMWare, Scott Davis
MassTLC Cloud summit keynote presentation from CTO of VMWare, Scott DavisMassTLC Cloud summit keynote presentation from CTO of VMWare, Scott Davis
MassTLC Cloud summit keynote presentation from CTO of VMWare, Scott Davis
 
Mobile Summit Content is King!
Mobile Summit Content is King!Mobile Summit Content is King!
Mobile Summit Content is King!
 
Boundless Continuous Delivery
Boundless Continuous DeliveryBoundless Continuous Delivery
Boundless Continuous Delivery
 
Dyn, Cory von Wallenstein
Dyn, Cory von WallensteinDyn, Cory von Wallenstein
Dyn, Cory von Wallenstein
 
Development teams: an untapped source of innovation that you must unlock!
Development teams: an untapped source of innovation that you must unlock!Development teams: an untapped source of innovation that you must unlock!
Development teams: an untapped source of innovation that you must unlock!
 
Damon poole, Intro to Continuous Delivery
Damon poole, Intro to Continuous DeliveryDamon poole, Intro to Continuous Delivery
Damon poole, Intro to Continuous Delivery
 
Thoughtbot continuous delivery
Thoughtbot continuous deliveryThoughtbot continuous delivery
Thoughtbot continuous delivery
 
SmartBear marketing data preso
SmartBear marketing data presoSmartBear marketing data preso
SmartBear marketing data preso
 
MassTLC seminar: Connecting Marketing to Revenue through Sales Analytics, En...
MassTLC seminar:  Connecting Marketing to Revenue through Sales Analytics, En...MassTLC seminar:  Connecting Marketing to Revenue through Sales Analytics, En...
MassTLC seminar: Connecting Marketing to Revenue through Sales Analytics, En...
 
Holland Mark presentation
Holland Mark presentationHolland Mark presentation
Holland Mark presentation
 
Rally Software on Distributed Agile Development
Rally Software on Distributed Agile DevelopmentRally Software on Distributed Agile Development
Rally Software on Distributed Agile Development
 

Similar to IBM Business Analytics software optimizes decisions

IBM CEC Big Data 2011 06-11 final
IBM CEC Big Data 2011 06-11 finalIBM CEC Big Data 2011 06-11 final
IBM CEC Big Data 2011 06-11 finalCOMMON Europe
 
IBM Confidently Provide Guidance with IBM Cognos TM1 and What-if Analysis
IBM Confidently Provide Guidance with IBM Cognos TM1 and What-if AnalysisIBM Confidently Provide Guidance with IBM Cognos TM1 and What-if Analysis
IBM Confidently Provide Guidance with IBM Cognos TM1 and What-if AnalysisIBM Sverige
 
EDF2012 Wolfgang Nimfuehr - Bringing Big Data to the Enterprise
EDF2012   Wolfgang Nimfuehr - Bringing Big Data to the EnterpriseEDF2012   Wolfgang Nimfuehr - Bringing Big Data to the Enterprise
EDF2012 Wolfgang Nimfuehr - Bringing Big Data to the EnterpriseEuropean Data Forum
 
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...IBM Sverige
 
2011 Consumer Survey France
2011 Consumer Survey France2011 Consumer Survey France
2011 Consumer Survey FranceRob Van Den Dam
 
Integrated marketing for the customer journey
Integrated marketing for the customer journeyIntegrated marketing for the customer journey
Integrated marketing for the customer journeyIBM
 
Consumer Survey United States
Consumer Survey United StatesConsumer Survey United States
Consumer Survey United StatesRob Van Den Dam
 
Emergence of Big Data in Digital Marketing
Emergence of Big Data  in Digital MarketingEmergence of Big Data  in Digital Marketing
Emergence of Big Data in Digital MarketingKrishnan Parasuraman
 
CeBIT Keynote: Rethinking Work. The Next Chapter in Social Collaboration
CeBIT Keynote: Rethinking Work. The Next Chapter in Social CollaborationCeBIT Keynote: Rethinking Work. The Next Chapter in Social Collaboration
CeBIT Keynote: Rethinking Work. The Next Chapter in Social CollaborationSameer Patel
 
Big data cloud cloud circle keynote_final laura colvine 8th november 2012
Big data cloud cloud circle keynote_final laura colvine 8th november 2012Big data cloud cloud circle keynote_final laura colvine 8th november 2012
Big data cloud cloud circle keynote_final laura colvine 8th november 2012IBM
 
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM USSmarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM USIBM Danmark
 
The BrainYard Webcast - Social Business & Social Analytics - 3/1/12
The BrainYard Webcast - Social Business & Social Analytics - 3/1/12The BrainYard Webcast - Social Business & Social Analytics - 3/1/12
The BrainYard Webcast - Social Business & Social Analytics - 3/1/12Mark Heid
 
Competitive advantage through data management terry jabali v.01
Competitive advantage through data management terry jabali v.01Competitive advantage through data management terry jabali v.01
Competitive advantage through data management terry jabali v.01tjabali
 
Leveraging Analytics to achieve your Customer Experience Objectives
Leveraging Analytics to achieve your Customer Experience ObjectivesLeveraging Analytics to achieve your Customer Experience Objectives
Leveraging Analytics to achieve your Customer Experience ObjectivesJj HanXue
 
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...Real-World Data Governance - Tools of Data Governance - Purchased and Develop...
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...DATAVERSITY
 
Worldwide Business Research
Worldwide Business ResearchWorldwide Business Research
Worldwide Business Researchwbr_marketing
 
How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...
How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...
How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...iCrossing
 
Business Optimization Thru Information Analytics
Business Optimization Thru Information AnalyticsBusiness Optimization Thru Information Analytics
Business Optimization Thru Information AnalyticsStrategy Advisory Group
 
201203 Analytics in Insurance Webinar
201203 Analytics in Insurance Webinar201203 Analytics in Insurance Webinar
201203 Analytics in Insurance WebinarSteven Callahan
 

Similar to IBM Business Analytics software optimizes decisions (20)

IBM CEC Big Data 2011 06-11 final
IBM CEC Big Data 2011 06-11 finalIBM CEC Big Data 2011 06-11 final
IBM CEC Big Data 2011 06-11 final
 
IBM Confidently Provide Guidance with IBM Cognos TM1 and What-if Analysis
IBM Confidently Provide Guidance with IBM Cognos TM1 and What-if AnalysisIBM Confidently Provide Guidance with IBM Cognos TM1 and What-if Analysis
IBM Confidently Provide Guidance with IBM Cognos TM1 and What-if Analysis
 
EDF2012 Wolfgang Nimfuehr - Bringing Big Data to the Enterprise
EDF2012   Wolfgang Nimfuehr - Bringing Big Data to the EnterpriseEDF2012   Wolfgang Nimfuehr - Bringing Big Data to the Enterprise
EDF2012 Wolfgang Nimfuehr - Bringing Big Data to the Enterprise
 
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...
 
2011 Consumer Survey France
2011 Consumer Survey France2011 Consumer Survey France
2011 Consumer Survey France
 
Integrated marketing for the customer journey
Integrated marketing for the customer journeyIntegrated marketing for the customer journey
Integrated marketing for the customer journey
 
Consumer Survey United States
Consumer Survey United StatesConsumer Survey United States
Consumer Survey United States
 
Emergence of Big Data in Digital Marketing
Emergence of Big Data  in Digital MarketingEmergence of Big Data  in Digital Marketing
Emergence of Big Data in Digital Marketing
 
CeBIT Keynote: Rethinking Work. The Next Chapter in Social Collaboration
CeBIT Keynote: Rethinking Work. The Next Chapter in Social CollaborationCeBIT Keynote: Rethinking Work. The Next Chapter in Social Collaboration
CeBIT Keynote: Rethinking Work. The Next Chapter in Social Collaboration
 
Big data cloud cloud circle keynote_final laura colvine 8th november 2012
Big data cloud cloud circle keynote_final laura colvine 8th november 2012Big data cloud cloud circle keynote_final laura colvine 8th november 2012
Big data cloud cloud circle keynote_final laura colvine 8th november 2012
 
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM USSmarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM US
 
The BrainYard Webcast - Social Business & Social Analytics - 3/1/12
The BrainYard Webcast - Social Business & Social Analytics - 3/1/12The BrainYard Webcast - Social Business & Social Analytics - 3/1/12
The BrainYard Webcast - Social Business & Social Analytics - 3/1/12
 
Competitive advantage through data management terry jabali v.01
Competitive advantage through data management terry jabali v.01Competitive advantage through data management terry jabali v.01
Competitive advantage through data management terry jabali v.01
 
Leveraging Analytics to achieve your Customer Experience Objectives
Leveraging Analytics to achieve your Customer Experience ObjectivesLeveraging Analytics to achieve your Customer Experience Objectives
Leveraging Analytics to achieve your Customer Experience Objectives
 
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...Real-World Data Governance - Tools of Data Governance - Purchased and Develop...
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...
 
Worldwide Business Research
Worldwide Business ResearchWorldwide Business Research
Worldwide Business Research
 
How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...
How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...
How DMPs Make Connectedness More Personal - An iCrossing Webinar Featuring Fo...
 
Business Optimization Thru Information Analytics
Business Optimization Thru Information AnalyticsBusiness Optimization Thru Information Analytics
Business Optimization Thru Information Analytics
 
201203 Analytics in Insurance Webinar
201203 Analytics in Insurance Webinar201203 Analytics in Insurance Webinar
201203 Analytics in Insurance Webinar
 
FirstRain Delivers
FirstRain DeliversFirstRain Delivers
FirstRain Delivers
 

More from MassTLC

MassIntelligence 2018: Intelligent Connected Cities
MassIntelligence 2018: Intelligent Connected CitiesMassIntelligence 2018: Intelligent Connected Cities
MassIntelligence 2018: Intelligent Connected CitiesMassTLC
 
MassIntelligence 2018: How to Rapidly Prototype an AI Solution
MassIntelligence 2018: How to Rapidly Prototype an AI SolutionMassIntelligence 2018: How to Rapidly Prototype an AI Solution
MassIntelligence 2018: How to Rapidly Prototype an AI SolutionMassTLC
 
MassIntelligence 2018: Connecting the Nation's Top Fishing Port
MassIntelligence 2018: Connecting the Nation's Top Fishing PortMassIntelligence 2018: Connecting the Nation's Top Fishing Port
MassIntelligence 2018: Connecting the Nation's Top Fishing PortMassTLC
 
MassIntelligence 2018: Transportation & Mobility, Alex Wyglinski
MassIntelligence 2018: Transportation & Mobility, Alex WyglinskiMassIntelligence 2018: Transportation & Mobility, Alex Wyglinski
MassIntelligence 2018: Transportation & Mobility, Alex WyglinskiMassTLC
 
Andres Corrada-Emmanuel - Ground Truth Problems in Business
Andres Corrada-Emmanuel - Ground Truth Problems in BusinessAndres Corrada-Emmanuel - Ground Truth Problems in Business
Andres Corrada-Emmanuel - Ground Truth Problems in BusinessMassTLC
 
MassTLC product launch campaign strategies, Jason Baudreau, NetBrain
MassTLC product launch campaign strategies, Jason Baudreau, NetBrainMassTLC product launch campaign strategies, Jason Baudreau, NetBrain
MassTLC product launch campaign strategies, Jason Baudreau, NetBrainMassTLC
 
MassTLC product launch campaign strategies, ben austin, Carbon Black
MassTLC product launch campaign strategies, ben austin, Carbon BlackMassTLC product launch campaign strategies, ben austin, Carbon Black
MassTLC product launch campaign strategies, ben austin, Carbon BlackMassTLC
 
Forget about A.G.I. Let's Build Useable Ai Tools!
Forget about A.G.I. Let's Build Useable Ai Tools!Forget about A.G.I. Let's Build Useable Ai Tools!
Forget about A.G.I. Let's Build Useable Ai Tools!MassTLC
 
Cloud Edge Computing: Beyond the Data Center
Cloud Edge Computing: Beyond the Data CenterCloud Edge Computing: Beyond the Data Center
Cloud Edge Computing: Beyond the Data CenterMassTLC
 
Old Company - New Technology, Elixir @ the MBTA
Old Company - New Technology, Elixir @ the MBTAOld Company - New Technology, Elixir @ the MBTA
Old Company - New Technology, Elixir @ the MBTAMassTLC
 
Lisa seacat deluca io t robotics presentation
Lisa seacat deluca io t robotics presentationLisa seacat deluca io t robotics presentation
Lisa seacat deluca io t robotics presentationMassTLC
 
Smart cities thinking outside the box
Smart cities thinking outside the boxSmart cities thinking outside the box
Smart cities thinking outside the boxMassTLC
 
Lily lim data privacy ownership and ethics
Lily lim data privacy ownership and ethicsLily lim data privacy ownership and ethics
Lily lim data privacy ownership and ethicsMassTLC
 
Abbas bagasra smart ag
Abbas bagasra smart agAbbas bagasra smart ag
Abbas bagasra smart agMassTLC
 
Ben goodman cybersecurity in the iiot
Ben goodman cybersecurity in the iiotBen goodman cybersecurity in the iiot
Ben goodman cybersecurity in the iiotMassTLC
 
MassTLC Opening Slides and Simulation Session
MassTLC Opening Slides and Simulation SessionMassTLC Opening Slides and Simulation Session
MassTLC Opening Slides and Simulation SessionMassTLC
 
Tom Hopcroft: State of the Tech Economy Key Findings
Tom Hopcroft: State of the Tech Economy Key FindingsTom Hopcroft: State of the Tech Economy Key Findings
Tom Hopcroft: State of the Tech Economy Key FindingsMassTLC
 
Michael Goodman: The State of the State Economy
Michael Goodman: The State of the State EconomyMichael Goodman: The State of the State Economy
Michael Goodman: The State of the State EconomyMassTLC
 
MassTLC summit_amacleod_predictiveanalytics
MassTLC summit_amacleod_predictiveanalyticsMassTLC summit_amacleod_predictiveanalytics
MassTLC summit_amacleod_predictiveanalyticsMassTLC
 
Brainshark mass tlc brand revitalizaion_final for distribution
Brainshark mass tlc brand revitalizaion_final for distributionBrainshark mass tlc brand revitalizaion_final for distribution
Brainshark mass tlc brand revitalizaion_final for distributionMassTLC
 

More from MassTLC (20)

MassIntelligence 2018: Intelligent Connected Cities
MassIntelligence 2018: Intelligent Connected CitiesMassIntelligence 2018: Intelligent Connected Cities
MassIntelligence 2018: Intelligent Connected Cities
 
MassIntelligence 2018: How to Rapidly Prototype an AI Solution
MassIntelligence 2018: How to Rapidly Prototype an AI SolutionMassIntelligence 2018: How to Rapidly Prototype an AI Solution
MassIntelligence 2018: How to Rapidly Prototype an AI Solution
 
MassIntelligence 2018: Connecting the Nation's Top Fishing Port
MassIntelligence 2018: Connecting the Nation's Top Fishing PortMassIntelligence 2018: Connecting the Nation's Top Fishing Port
MassIntelligence 2018: Connecting the Nation's Top Fishing Port
 
MassIntelligence 2018: Transportation & Mobility, Alex Wyglinski
MassIntelligence 2018: Transportation & Mobility, Alex WyglinskiMassIntelligence 2018: Transportation & Mobility, Alex Wyglinski
MassIntelligence 2018: Transportation & Mobility, Alex Wyglinski
 
Andres Corrada-Emmanuel - Ground Truth Problems in Business
Andres Corrada-Emmanuel - Ground Truth Problems in BusinessAndres Corrada-Emmanuel - Ground Truth Problems in Business
Andres Corrada-Emmanuel - Ground Truth Problems in Business
 
MassTLC product launch campaign strategies, Jason Baudreau, NetBrain
MassTLC product launch campaign strategies, Jason Baudreau, NetBrainMassTLC product launch campaign strategies, Jason Baudreau, NetBrain
MassTLC product launch campaign strategies, Jason Baudreau, NetBrain
 
MassTLC product launch campaign strategies, ben austin, Carbon Black
MassTLC product launch campaign strategies, ben austin, Carbon BlackMassTLC product launch campaign strategies, ben austin, Carbon Black
MassTLC product launch campaign strategies, ben austin, Carbon Black
 
Forget about A.G.I. Let's Build Useable Ai Tools!
Forget about A.G.I. Let's Build Useable Ai Tools!Forget about A.G.I. Let's Build Useable Ai Tools!
Forget about A.G.I. Let's Build Useable Ai Tools!
 
Cloud Edge Computing: Beyond the Data Center
Cloud Edge Computing: Beyond the Data CenterCloud Edge Computing: Beyond the Data Center
Cloud Edge Computing: Beyond the Data Center
 
Old Company - New Technology, Elixir @ the MBTA
Old Company - New Technology, Elixir @ the MBTAOld Company - New Technology, Elixir @ the MBTA
Old Company - New Technology, Elixir @ the MBTA
 
Lisa seacat deluca io t robotics presentation
Lisa seacat deluca io t robotics presentationLisa seacat deluca io t robotics presentation
Lisa seacat deluca io t robotics presentation
 
Smart cities thinking outside the box
Smart cities thinking outside the boxSmart cities thinking outside the box
Smart cities thinking outside the box
 
Lily lim data privacy ownership and ethics
Lily lim data privacy ownership and ethicsLily lim data privacy ownership and ethics
Lily lim data privacy ownership and ethics
 
Abbas bagasra smart ag
Abbas bagasra smart agAbbas bagasra smart ag
Abbas bagasra smart ag
 
Ben goodman cybersecurity in the iiot
Ben goodman cybersecurity in the iiotBen goodman cybersecurity in the iiot
Ben goodman cybersecurity in the iiot
 
MassTLC Opening Slides and Simulation Session
MassTLC Opening Slides and Simulation SessionMassTLC Opening Slides and Simulation Session
MassTLC Opening Slides and Simulation Session
 
Tom Hopcroft: State of the Tech Economy Key Findings
Tom Hopcroft: State of the Tech Economy Key FindingsTom Hopcroft: State of the Tech Economy Key Findings
Tom Hopcroft: State of the Tech Economy Key Findings
 
Michael Goodman: The State of the State Economy
Michael Goodman: The State of the State EconomyMichael Goodman: The State of the State Economy
Michael Goodman: The State of the State Economy
 
MassTLC summit_amacleod_predictiveanalytics
MassTLC summit_amacleod_predictiveanalyticsMassTLC summit_amacleod_predictiveanalytics
MassTLC summit_amacleod_predictiveanalytics
 
Brainshark mass tlc brand revitalizaion_final for distribution
Brainshark mass tlc brand revitalizaion_final for distributionBrainshark mass tlc brand revitalizaion_final for distribution
Brainshark mass tlc brand revitalizaion_final for distribution
 

Recently uploaded

Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Scott Andery
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 

Recently uploaded (20)

Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 

IBM Business Analytics software optimizes decisions

  • 1. Business Analytics software IBM Business Analytics Deepak Advani VP, Business Analytics Products & Solutions February 7, 2012 © 2011 IBM Corporation
  • 2. Imagine if you could… … track disease outbreaks across country borders in real time? © 2009 IBM Corporation
  • 3. Imagine if you could… …catch money laundering before it happens? © 2009 IBM Corporation
  • 4. Imagine if you could… … apply social relationships of customers to prevent churn? © 2009 IBM Corporation
  • 5. Imagine if you could… …identify at-risk students before they drop out of school? © 2009 IBM Corporation
  • 6. Business Analytics software Our world is becoming smarter Instrumented Interconnected Intelligent 6 © 2011 IBM Corporation
  • 7. Business Analytics software With this change comes an … Yet organizations are explosion in information … operating with blind spots Lack of Insight 1 in 3 managers frequently make critical decisions without the information they need Volume of Digital Data Inefficient Access 1 in 2 don’t have access to the information across their organization needed to do their jobs Variety of Information Inability to Predict 3 in 4 business leaders say more predictive information would drive better decisions Velocity of Decision Making © 2011 IBM Corporation Source: IBM Institute for Business Value
  • 8. Opportunity for value creation is significant, and growing Data AVAILABLE to an organization Missed ity opportun data an organization can PROCESS Organizations are able to Enterprises are “more blind” process less and less of the to new opportunities. available data. 8 © 2009 IBM Corporation
  • 9. Business Analytics software hanging Business Imperatives The Vast Majority of CMOs are Underprepared Marketing Priority Matrix 1 Data explosion Underpreparedness Percent of CMOs reporting 2 Social media underprepared 1 3 Growth of channel and device choices 70 2 4 Shifting consumer demographics 3 5 Financial constraints 4 6 Decreasing brand loyalty 60 5 7 Growth market opportunities 6 10 7 8 9 8 ROI accountability 11 9 Customer collaboration and influence 50 12 10 Privacy considerations 13 11 Global outsourcing Factors impacting marketing 12 Regulatory considerations 40 Percent of CMOs selecting as “Top five factors” 13 Corporate transparency 0 20 40 60 Mean 9 Source: Q7 Which of the following market factors will have the most impact on your marketing organization over the next 3 to 5 years? n1=1733; Q8 How prepared are you to manage the impact of the top 5 market factors that will have the most impact on your marketing organization over the next 3 to 5 years? n2=149 to 1141 (n2 = number of respondents who selected the factor as important in Q7) © 2011 IBM Corporation
  • 10. IBM investments in Analytics and Big Data  More than $14B in Acquisitions Since 2005 Hadoop  More than 10,000 Technical Professionals  More than 7,500 Dedicated Information Stream Consultants Integration Computing  Largest Math Department in Private Industry  More than 27,000 Business Partner Certifications Source: IBM BAO Data Warehouse Analyze Analyze Analyze Discover & Manage Information Information Extreme Experiment & Plan of any Variety in Motion Volumes of 10 Information © 2012 IBM Corporation
  • 11. Complementary Analytics Traditional Approach New Approach Structured, analytical, logical Creative, holistic thought, intuition Data Hadoop W arehouse Streams Transaction Data Web Logs Internal App Data Social Data Structured Structured Unstructured Repeatable Enterprise Unstructured Exploratory Mainframe Data Repeatable Linear Integration Exploratory Iterative Text Data: emails Linear Monthly sales reports Iterative sentiment Brand Profitability analysis Product strategy OLTP System Data surveys Customer Maximum asset utilization images Sensor data: ERP data Traditional New RFID Sources Source s © 2012 IBM Corporation
  • 12. Applications for Big Data Analytics Smarter Healthcare Multi-channel Finance Log Analysis sales Homeland Security Traffic Control Telecom Search Quality Manufacturing Trading Fraud and Retail: Churn, Analytics Risk NBO 12 © 2012 IBM Corporation
  • 13. Three key trends are driving this movement: The emergence of The shift of power to Pressure to do more Big Data the consumer with less 13 © 2012 IBM Corporation
  • 14. Big Data Customer Examples Big Data for the CMO Big Data for Smarter Planet Big Data for Telco Financial Modern Telco Services Energy Group ”Listen to the voice of Reduced modeling Latency reduced from clients” time by 97% 12 hrs to 1 sec 5.8 terabytes of Internet 2.8 petabytes of public 6 billion Call Detail and Social Media and private weather Records per day data Fix negative opinions and Personalized marketing build on positive ones Modeling time reduced to individual customers from weeks to hrs. © 2012 IBM Corporation
  • 15. Correlate combined risk and impending weather threats to optimize inventory and Dynamically updated determine supply chain risk assessment recommendations for assets in projected path Real-time projections of hurricane path 15 © 2012 IBM Corporation
  • 16. Business Analytics software “The People’s Oscar”? - IBM Big Data Analytics at Work  IBM Infosphere Streams used to process hundreds of tweets per minute in real time  IBM Cognos Consumer Insight implemented on Hadoop cluster provides parallel analysis of tens of thousands of blogs and tweets for sentiment and emerging topics of discussion  Partnership with LA Times to publish social insights in an interactive graphical environment for the general public to use  Show case for big data analytics in media and entertainment, with future applications in film marketing, demand forecasting and release window optimization  “Celebrities tweet their dismay and delight with the nominations”  “the Twitterverse lit up with messages from movie fans excited about — and upset about — the picks in the best picture, lead actor and lead actress categories”  “You might be surprised about which performers and movies got the most tweets — and who had the most positive buzz” Powered by © 2010 IBM Corporation
  • 17. On February 14, 2011, IBM Watson changed history on the TV show Jeopardy. Word spread virally of the victory with Twitter reaching 11.7M, 30,121 blog On the TV show Jeopardy mentions, and 15,025 forum posts 17 © 2012 IBM Corporation
  • 18. Healthcare industry is beset with some of the most complex information challenges we collectively face Medical information is doubling every 5 years, much of which is unstructured 81% of physicians report spending 5 hours or less per month reading medical journals “Medicine has become too complex. Only about 20% of the knowledge clinicians use today is evidence-base.” Leading Chief Medical & Scientific Officer © 2012 IBM Corporation
  • 19. Putting the pieces together at point of impact can be life changing Fam toms Med istor y Pat story Sy m Fin ions .H . Hi difficulty swallowing ica Patient Symptoms Family Medications Findings p Symptoms fever Diagnosis Models din Confidence t dry mouth gs thirst History History anorexia A AA medications were levothyroxine, Her urine dipstick was complains of 58-year-old woman presented forher 58-year-old woman positive to frequent urination Renal Failure hydroxychloroquine, pravastatin, and primary care anorexia, dry mouth, dizziness, physician after several dizziness leukocyte esterase and nitrites. The no abdominal pain dayshistory was notable for cutaneous Her increased thirst, andgiven amouth, of dizziness,patient frequent alendronate. dry anorexia, no back pain UTI Herincreased thirst,also hadoral and familyShefo ciprofloxacin for a history included a fever. prescription had and frequent urination. no cough lupus, hyperlipidemia, osteoporosis, She reported no pain mother, fever bladder cancer in her in 3 had a later, urination. She had also daysGraves' frequent tract infection. her abdomen, urinary urinary tract infections, a left no diarrhea Diabetes and reported for two sisters, andand back,disease in weakness oophorectomy thatafood would “get and no cough, or diarrhea. patient reported benign cyst, Oral cancer History Bladder cancer Family stuck” when she was onediagnosed a hemochromatosis in swallowing. She sister, and dizziness. Her supine blood pressure primary hypothyroidism, Hemochromatosis Influenza idiopathic thrombocytopenic purpura was 120/80 mm Hg, and abdomen, reported noyear earlier pulse was pain in her Purpura back, orin oneand no cough, flank sister 88. Graves’ Disease Hypokalemia (Thyroid Autoimmune) shortness of breath, diarrhea, or cutaneous lupus dysuria Findings Medications History Patient osteoporosis hyperlipidemia Esophagitis frequent UTI hypothyroidism • Extract Symptoms from record Alendronate Most Confident Diagnosis: UTI to handle • Most Confident Diagnosis: text Use paraphrasings mined from Influenza Diabetes Esophagitis pravastatin ••• Extract Medications and variants • Extract Patient History Identify negative Symptoms Extract Family alternate phrasings levothyroxine • • Use database Taxonomies to generalize medical • Reason with mined relations to explain away Use Medical of drug side-effects Perform broad search for possible diagnoses hydroxychloroquine • • Together, multiple is consistent w/best the models symptoms (thirst diagnoses may UTI) explain Score Confidence granularity used by conditions to the in each diagnosis based on urine dipstick: symptomsso far evidence leukocyte esterase • Extract Findings: Confirms that UTI was present supine 120/80 mm HG heart rate: 88 bpm urine culture: E. Coli 19 © 2012 IBM Corporation
  • 20. Cancer is an insidious disease and the second highest cause of death 1 in 3 1.5M+ individuals will die were diagnosed from cancer with cancer in the US in 2011 X 50 yr.+ $263.8B the time current cancer overall costs of cancer treatments have been in the US in 2010 around (chemotherapy, radiotherapy, etc.) $$$$$$$$$$$$ $$$$$$$$$$$$ $$$$$$$$$$$$ $$$$$$$$$$$$ Source: American Cancer Society, National Health Institute 20 © 2012 IBM Corporation
  • 21. From battling humans on Jeopardy! to changing the way the world thinks, acts, and operates Healthcare Financial Services Diagnostic/treatment Investment and retirement assistance, evidenced-based planning, institutional trading insights, collaborative medicine and decision support Contact Center Government Call center and tech support Public safety, improved services, enterprise knowledge information sharing, security, management, consumer insight fraud and abuse prevention IBM Watson has the capabilities to address grand business and societal challenges © 2012 IBM Corporation
  • 22. Business Analytics software ibm.com/bigdata 22 © 2011 IBM Corporation