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Advanced analytics
1) Advanced analytics uses predictive, proactive, and forecasting capabilities to gain insights from large amounts of structured and unstructured data from various sources. 2) By 2014, 30% of analytic applications will use advanced analytic techniques and the global market for analytics software is expected to reach $34 billion. 3) Enablers of advanced analytics include in-memory databases, data mining, real-time data warehouses, and analytics-as-a-service to process large volumes of data and provide faster results.
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Presentation introduction on advanced analytics as the future of business intelligence.
Outline of key discussion points: analytics landscape, maturity levels, market indicators, and enablers.
Strategies for analytics involving marketing, applications, and support systems, covering various platforms.
Importance of collecting data driven by ROI, customer retention, and analytics for building relationships.
Introduction to the concept of maturity levels in analytics without detailed content.
Predictions from Gartner on the rise of predictive analytics and its impact across industries.
Continued insights from Gartner on the evolution of BI and projections for the analytics software market.
Overview of text-based analytics focusing on social analytics, sentiment analysis, and brand reputation.
Comparison of Facebook and Twitter demographics highlighting crucial social media insights from 2010.
Uses of predictive analytics in forecasting, fraud detection, and understanding price elasticity.
Focus on customer segmentation strategies including churn analysis and behavioral segmentations.
Trends in mobile analytics and its applications in digital delivery and user relevance.
Explanation of data strategies involving structured, semi-structured, and unstructured data.
Discussion on processing models, including data mining and various forms of real-time analytics.
Service models in analytics including analytics-as-a-service and the benefits of faster results.
Focus on big data challenges and strategies such as data volume, retention, and open frameworks.
Wrap-up statement emphasizing the importance of analytics in decision making with a quote from Ebay.
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Advanced analytics
- 1. Advanced Analytics Thenext wave of Business Intelligence Shankar Radhakrishnan Senior Solutions Architect HCL Technologies
- 2. Agenda Analytics LandscapeMaturity Level Market Indicators Advanced Analytics Enablers
- 3. Analytics Landscape StrategiesSocial, Email, Blogs, Video, Mobile Marketing, Sales - Product Listing, Promotions Applications ERP, CRM, Databases, Internal Applications, Customer/Consumer facing applications Context Web, Customers, Products, Business Systems, Processes and Services Support Systems CRM, Recommendation Systems Data warehouses, Business Intelligence
- 4. Collect More, MineMore Drivers ROI, Customer Retention, Product Affinity Market Trends, Research Analysis Customer/Consumer Analytics Build Relationships Insights
- 5.
- 6. Market Indicators “By 2014, 30% of analytic applications will use proactive, predictive and forecasting capabilities” “ The market for BI and analytics is undergoing gradual evolution. ” Gartner. Feb 1 st , 2011 “ In 2011, the use of analytics as a competitive differentiator in selected industries will explode” “ The roles of marketing, sales, human resources, IT management, and finance will continue to be transformed by the use of analytics” International Institute for Analytics. Dec 3 rd , 2010
- 7. Market Indicators (continued) “ By 2014, the metamorphosis of BI from IT-owned and report-centric will be virtually complete for a large number of organizations. ” Gartner. Jan 6 th , 2011 “ These organizations will change what types of BI and analytics they use. They will change how they procure them and where they procure them from, and they will modify how information feeds decision making.” Gartner. Jan 6 th , 2011 “ By 2014, global market for Analytics software will grow to $34Billion” IDC. Nov 9 th , 2010
- 8. Text Analytics SocialAnalytics Sentiment Analysis Brand Identity Product & Brand Affinity Reputation Driven Online-Economy
- 9. Facebook vs. TwitterBreakdown of 2010 Social Demographics
- 10. Predictive Analytics ForecastingTargeting Fraud Detection, Anti-Fraud Analytics Regression, Predictive, Multivariate Propensity Price Elasticity
- 11. Segmentation Analytics CustomerSegmentation in real-time Churn Analysis, Attrition Funnel Analysis Behavioral Segmentations
- 12. Mobile Analytics DigitalDelivery Channels and Services Property Effectiveness Application Analytics Ad Analytics Geo-Spatial Analytics User profile and Relevance Identify New Opportunities
- 13. Data Strategy Structured,Semi-Structured Unstructured User generated System generated Interactive ‘pipes’ Enterprise Data
- 14. Enablers : ProcessingModels Data Mining In-memory Database Analytics In-database Analytics Real-time Data warehouses Process-at-the-source Distributed Databases Clustered Databases Columnar Databases
- 15. Enablers: Service ModelsAnalytics-as-a-service Data Provisioning Data Ownership Localized Process Faster Results Dynamic Scaling Increased ROI
- 16. Enablers : BigData Data volume explosion Data Retention (Long Tail Analysis) Data Appliance Distributed Data Open Development Frameworks
- 17. Thank You! “Every decision we make is based on Analytics ” Oliver Ratzesberger, Ebay