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Growth and Approach towards Analytics
Analytics growing as a business mandate.
Data is Growing Performance Gap Widens Capability Gap Exists..
4.4x
2.7x
2.4x
2.4...
Major themes for Analytics
Customer Insight
Business Risk
Operations /
Service Warranty
Service /
Warranty
 Customer micr...
Analytics Value to Business
Business
outcome
Operations
Transformation
Insights Data
•Strategic themes
•Customer Insight
•...
Changing Landscape .. Analytic Techniques ..
MIT SMR – IBM Study – The New path to Value 2012
Thanks to Teradata
Thanks to Teradata
Analytics Services Maturity Model
ALIGNED INTEGRATED OPTIMIZINGFRAGMENTED
DATAANALYTICSVISUALIZATIONPROCESS[ACTIONS]
SCALE...
How are Businesses acquiring Analytics
Inhouse /
Captive
Solution
Utilities
Services /
Resources
Platforms /
Products
1. A...
Delivering Analytics Value to Business
Business
outcome
Operations
Transformation
Insights Data
SolutionsservicesToolsPlat...
Typical Analytics Practice
Strategic Eco-system Alliances
1051
Analytics [ 140 – 60 USD ]
BI [ 100 - 40 USD ]
Data / Integ...
Analytics Shifting Trends
Rapid Outsourcing
Growth
Bringing Data
together
Capabilities, Scale, =
purchase
Management End
U...
How to Buy $$ Analytics
Business
outcomes
Partnering
Vendor
Total Cost of
Operation
Future
Proofing
• Deep integration wit...
Solution Capability Development
Business Value Modeling.
Analytics Program Model..
Business Value and thereby Performance ...
Business Themes and Analytics COE
Marketing RoI & Growth analytics
Customer acquisition analytics
Customer retention analy...
Vishwanath Ramdas
Head Analytics FCC Compliance , Large MNC Bank
8 years in the industry with 17 Y experience in Business ...
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20150118 s snet analytics vca

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the State of Analytics within the Enterprise and how to adopt Analytics.. a Perspective being shared

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20150118 s snet analytics vca

  1. 1. Growth and Approach towards Analytics
  2. 2. Analytics growing as a business mandate. Data is Growing Performance Gap Widens Capability Gap Exists.. 4.4x 2.7x 2.4x 2.4x 2x Investment in Data and Analytics Top Performer Bottom Performer Sources: IBM Breakaway Now with Business Analytics and Optimization 17% 42% 28% 10% USE OF DATA BY BUSINESS* 75% or more 50-74% 25-49% 0-24% ++ There is a skill gap 60% executives say they “have more information than we can effectively use”** [IBM Report] . McKinsey Report on Big Data estimates 50-60% gap in the supply of deep analytical talent; equaling 140,000 to 190,000 unfilled positions. 40% growth in global data annually Globally 2.5 quintillion bytes of data per day 90 % of the data in the world today has been created in the last two years alone. Customer Transactions Customer records through device ubiquity and better data mgmt.. 1 Customer Interactions Social Unstructure, semantics.. 20B events / Day – Facebook 2 Machine Interactions Logs sensors intelligence on all equipment 3 IBM Report  Global Business Analytics market size is pegged around $105 billion and growing at CAGR 8%. Shifting Priorities for Management in Analytics..
  3. 3. Major themes for Analytics Customer Insight Business Risk Operations / Service Warranty Service / Warranty  Customer micro Segments – Delivering personalization  Customer propensities for action, Cross sell, preferences, Next Best Action  Digital Marketing, Below the line & Discovery  Pricing Models / Sensitivity Especially in BFSI where financial Risk coverage for regulation and internal business Portfolio Management & Ops Risk management Worldwide financial services OpRisk and GRC technology market will grow to $2 billion by 2013 [ @ CAGR 6.5% ]  Inventory, Parts Supply,  Service Management  Geo-Loc coordination for Logistics, Users, & producers  Predicting failure of service and business components,  Customer contact, sentiment and intent  Resource Allocation and Triaging  New Product Design  Pharma, Automobile, Hi Tech  Smart Pricing  utilites and Energy  Claims And Litigation  Insurance
  4. 4. Analytics Value to Business Business outcome Operations Transformation Insights Data •Strategic themes •Customer Insight •Digital Marketing •Pricing / Risk •Product Design •Service / Operations •BI / Dashboards •Manual Operations •Embedded Analytics •CEP / Rules Engines •RT Integration •Analysis / Methods •Prediction / Data Mining •Machine Learning •Sample vs Large Data •Parameterized and NON •Volume, Variety, Velocity •Data Sources { External, Unstructured } •Data Integration {ETL} •Data Lineage {Metadata} •Data Preparation {Index, Search} •Customer Segmentation, Behavior based models in all industry •Price Sensitivity analysis •NPD / Molecule research in Pharma •Risk in BFSI •Driving Digital Initiatives like Mobile •Triaging / Routing in Contact centers •Running a Analytics KPO that provides insights for Operations •Methods like Segmentation, Regression based scoring, • Sensitivity Scenarios , What-if •Text and media mining capabilities [ PCA ] •Semantic Search •70% of the effort is spelt out in Data •External sources, public and paid.. •Text, media processing / Index
  5. 5. Changing Landscape .. Analytic Techniques .. MIT SMR – IBM Study – The New path to Value 2012
  6. 6. Thanks to Teradata
  7. 7. Thanks to Teradata
  8. 8. Analytics Services Maturity Model ALIGNED INTEGRATED OPTIMIZINGFRAGMENTED DATAANALYTICSVISUALIZATIONPROCESS[ACTIONS] SCALE / STRUCTURE SOURCE / RETRIEVE CONFIG - CONTROL INTERACTION ALGORITHM MODELING DESIGN EXECUTE MANAGE PRESENTATION STRUCTURE Simple 2-Dimensional Graphs and reports including Types of Visuals supported? Static simple play out Simple structure, numeric [ cardinal] and non-numeric- [ Ordinal] Internal Local Files, federated Ad-hoc Customer opportunity Operational Changes > Basic Functions and statistics User Configuration, Data Security Structured Data with metadata support, Integrated data sets through DB- DWH, SQL based retrieve Single Iteration playout Computational Flows Process Maps, Kpi- Metrics Breakdowns, Manual Process Change / Actions Tactical Changes – re-structure to Business operations, processes.. Linear Functions, Regression, Statistics, Strategy Changes - New services models, synthesis of business value Integrated Partner Actions, Automation into systems, scenario analysis, what -if analysis, Complex Statistics [econometrics] , Numerical Method, Clustering Analysis, System Generation-Automation , visual re-formation, Compliance and traceability effort in adding new data sources external connectors – API, Composite Visuals, infographics Unstructured text, Data Scale – Size and time Value Chain Analysis , Benchmark Data New Revenue Models Sense and response mechanisms, Simulation, optimization, Text & Analytics, Neural Networks, fractals, Actions integration - external systems. Storyboards, Virtual Reality late binding – auto discovery of structure Access to non standard data, late structure binding Real time search Data as Media like Voice, Image and Video Bigdata Management pivot based interaction – User self service Maps, Multi-dimensional Graphs,
  9. 9. How are Businesses acquiring Analytics Inhouse / Captive Solution Utilities Services / Resources Platforms / Products 1. A Typical Bank would have a 1Bn USD budget 2. 80% spend inhouse and in Captive 3. 1200 Person = 600Mn $ Value / 100 Mn $ Cost 4. Slow, lethargy, internal Constraints, IPR 1. Small Boutique companies getting seeded 2. Focusing on either large platforms [ splunk ] or a very specific Business use Case [ Mydrive ] 3. Scale issues, pricing, 1. Large resource houses, with 80% $ from staff Aug 2. Fragmented delivery, water fall, change is a challenge , Utilisation is key , security & leakage 3. Can Scale, some can partner, 1. Best complement to Inhouse / Captive 2. Developing the foundations for the next gen, 3. Focused more on tech rather than business 4. Partner to all above entities,
  10. 10. Delivering Analytics Value to Business Business outcome Operations Transformation Insights Data SolutionsservicesToolsPlatforms 300 400 7000 wipro Other players  CTS, TCS, Big 4, musigma TeraData Pivotal Opera Cloudera Tableau Clikview RevoR Mydrive InfoChimp 70 1200 500Bank captive
  11. 11. Typical Analytics Practice Strategic Eco-system Alliances 1051 Analytics [ 140 – 60 USD ] BI [ 100 - 40 USD ] Data / Integration [ 100 – 30 USD] 1. 80% of the business is still Staff Augmentation 2. 80% of the business in BI / MI and low end data services.. 3. Large players like Wipro / TCS / MuSigma in the range of 5000- 10000 resources 4. Lot of SME consulting Smaller players 5. Clients are slower than the vendor.. 1. Staff Augmentation in various Skill Areas 2. Partnering and COE development for clients 3. Project based Delivery – Agile Waterfall 4. Embedded Analytics in Operations and other initiatives like Digital, mobile etc.. 5. Service Transformational Analytics – CTS 6. Very weak in industry / Business domain For Every Analytics Resource.
  12. 12. Analytics Shifting Trends Rapid Outsourcing Growth Bringing Data together Capabilities, Scale, = purchase Management End User Multiple Delivery focused on Captive Data Driven Business Partnership, Eco- system, Speed Business End User • Past helped ISV Grow Business [+30% CAGR ] • Analytics == IPR  Captives • Talent and Skills still a big shortage • From structured to unstructured • IOT / sensors, new external data • Unstructured Data Media = Big Data • Large Data – Lakes, Metadata • Shift from Model to Compute • Show & Tell + 0 consulting + Action • Partnerships, COE, Investments, Utilities = Value Add • Utilities and Plug-n-Play • Generating Business Use Cases Keeping managers charmed = BI Sophistication + Cool Tools • Integrate Analytics within Digital Initiatives • Management  Ops  Customer • Privacy + Security Past 5 years Next 5 Years
  13. 13. How to Buy $$ Analytics Business outcomes Partnering Vendor Total Cost of Operation Future Proofing • Deep integration with a Business outcome [ MyDrive] • Charging and Collection Model [RDC] • Time to deploy and transform [ Splunk ] • Agile Delivery Models • Show and Tell / Productized services • Ability to Partner / Co-innovate • Non-Linear Scale in the Business Model • Easy to Consume, Utility, Pricing • Eco System Partnerships • Application potential across the Economy [ MyDrive] • Keeping it simple.
  14. 14. Solution Capability Development Business Value Modeling. Analytics Program Model.. Business Value and thereby Performance Hotspots drive solutions and messages Sales & Marketing Member Mgmt & UW Provider Mgmt Claims Mgmt Customer Service Medical Mgmt Revenue - GTM Business Case Account Intel Pitch / Proposal Partnership / POC Events / ABM Engagements Quote Generation Broker Mgmt Campaig n Mgmt Market Research Member Retention 1. Brand Perception / Perf Ratio 2. Influence Ratio 3. Number of leads 4. Cost per lead 5. Medium Conversion Rate 6. Avg Premium Val 7. Days visit to purchase 8. Task Completion Rate SOLUTION CATALOG KEY OUTCOMES Key Resources Partnership Algorithm Training Research LAB/ COE Understand Business Landscape: What value is business after? Key pain points in decision making / operations Leverage Internal Capability: No duplication of work already done / capability already in existence In Sight of the Customer: Develop capability through the customer, interface, POC / Pilots Develop Ecosystem for delivery: Relationships with established & emergent OEM who will drive the market Time Bound: Ensure outcomes with time frame. 3 months to customer and 6 months to pilot Develop Systemic Solutions: Consulting to understand customer, quick entry, low change and capital…. 1 2 3 4 5 6Data Process Actions Analytics Visualization Capability Framework 1 2 3 Key principles Program Status
  15. 15. Business Themes and Analytics COE Marketing RoI & Growth analytics Customer acquisition analytics Customer retention analytics Social media driven analytics Customer/Employee fraud & risk Competitive intelligence analytics Supply chain analytics MFG process quality & compliance Early warning analytics Asset Perf. Maint. & warranty Network analytics Service Problem Analysis Service Logistic & Resource Alloc. Governance, Risk & compliance Integrated financial perf. - EPM Store operations Analytics Merchandising & Pricing analytics Claims analytics Pre-Trade Post Trade Analytics Drug discovery analytics Post market analytics (Pharma) Care & Safety analytics Care analytics Member Retention Analytics Smart meter analytics Technology Business Automation Modeling Data Analysis Visuals Process People Methods Tools Vertical Themes Customer Lifecycle Service & Warranty GRC EPM/WIPM • Product Mgrs [10] • Clustered  Solution Themes + verticals • Teams for Verticals program mgmt • Modelers & Technologist report in. • Business Consulting • Innovation & Transformation Client Pitch / Engagement • Analytics Program Management • Long term  look at business Automation solutions • Modelers • Cluster  Solution Themes • Exploring Analysis Tools • Develop Models/Methods • # Of experiments • Play with data • Information Technologist • Cluster  1 • All Data Gather & Aggregation technologies • Solution Warranty / Scale • Speed, Variety – API • # Of experiments • Manage COEEnv.
  16. 16. Vishwanath Ramdas Head Analytics FCC Compliance , Large MNC Bank 8 years in the industry with 17 Y experience in Business Transformation.

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