The document discusses consumable analytics and Kavaii, a company that provides such analytics. It asks baseline questions about data usage and needs. Kavaii offers right-sized, easy to deploy analytics solutions as an alternative to traditional costly BI systems. The document outlines Kavaii's products, approach, and case studies demonstrating ROI for clients in industries like manufacturing, IT and telecom. Sample KPIs, engagement models, and the company's innovation process are also covered.

1. passion for data
Consumable Analytics
Provable ROI. Informed & Timely Decision-making.
http://kavaii.com | sales@kavaii.com
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2. Some Baseline Questions
 Do you use data analysis in your organization ?
 What BI and analysis systems do you use today ?
 Are you able to get the analysis you desire ?
 What are today’s shortcomings, if any ?
 Is data-driven analysis a priority in the organization ?
 What could be done to improve the status quo ?
 Have you considered deploying consumable analytics
 Data analysis that provides actionable insights in real time.
 Do you see the role of data analysis expanding in your
organization ?
 How do you forecast outcomes for future planning ?
 Do you usually differentiate between BI and predictive
analytics ?
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3. Right-sized for You
EXCEL BASED
ANALYTICS
TRADITIONAL
BI SOLUTION KAVAII
EASY
TRANSITION CONSUMABLE
5 MBAs ANALYTICS
GENERATING
ANALYSIS
NO DATA OR
NO DATA
ANALYSIS
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4. Delivering Consumable Analytics
Microstrategy
SAS
Replaced Kavaii Analytics
Informatica by Portal Platform
IBM Netezza  Consumable analytics
 Big data analytics appliance
Oracle DB
Demonstrable
10x - 1000x ROI
NoSQL
Disparate products, Expensive licenses, Long time to deploy,
High training cost, Technology and Tool mindset
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5. Performance Management
Where you’ve been.
KPIs on a
Where you want to go.
Dashboard
© 2011 Kavaii Kavaii Confidential 5

6. Webinar – Aug 17, 2012
Others is a series.
WEBINAR
data updates drill down forecasts
Automated CxO Dashboards
business KPIs alerts triggers big data
All Industries | Business Performance Analytics (BPA)
ANALYTICS = DATA + (REPORTING + ANALYSIS) + PREDICTIVE
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7. Kavaii Mission
Simplify data analysis to enable
informed and timely decision-
making.
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8. What is Consumable Analytics?
Makes decision making more secure.
ANALYTICS = DATA + (REPORTING + ANALYSIS) + PREDICTIVE
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9. What is Business Performance?
Business Performance Analytics (BPA)
Sales Business
Growth
Finance Dashboards
Marketing
HR KPIs Monitors Alerts Scenario planning
Operations Insights  Actions Risks  Confidence
Metrics Reporting Forecast
Operating Planning
Excellence Excellence
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10. The Kavaii Difference
1/10th the time to actionable insights | 1/10th the time | 1/10th the cost
SAP-Predictive Oracle R
MS BI SAP-BO SAP-HANA OBIEE
Analysis Enterprise
MS Excel IBM-Cognos IBM-SPSS SAS SAS-BI
Vicious
Traditional Business Intelligence Cycle
BI Team + BI Tool + BI Consulting + Time = High Cost & Few Results
“In-memory analytics”
Little Innovation “Real-time analytics”
TECH HYPE
Product Innovation + Delivery Shop
The Kavaii Products | Expertise | Experience
Difference Reduced Time to Actionable Insights
Virtuous
Cycle
Quick Deployment
“Right-time and Right-sized analytics”
REAL INFORMED DECISIONS
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11. Kavaii | kPortal Innovation
Music
Innovation
Innovation.
CD’s Clear. Crisp.
iPod
Data analysis
Innovation
Innovation.
Excel/Tabular analysis Clear. Crisp.
kPortal
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12. Kavaii | kPortal analytics TM
http://healthcare.port.al Exit
Revenue Expenses Profits Cash Flow Resources Patient Satisfaction Clinical Portal
Admitting Doctor Referring Doctor Specialty Geography Revenue Stream Payer Service
Summary Inpatient Outpatient Diagnostics Pharmacy
Actionable Insights
Ease of Use | Quick Deployment | Low Cost
Kavaii SMARTE Analytics Framework
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13. Case Study: Intel (Hi Tech) - PPA
 About Intel
 Intel is a $40B US company leader in microprocessors and related products that power
80%+ computers across the world
 Business Situation/Problem
 Customer pain point of not having ready performance numbers for the global sales team to
realize deal margins dictated by Moore's law, resulting in delayed closure and lower
margins
 Intel team in charge of real applications stuck with manual process with Excel which is
manual, highly time consuming, inflexible, and error prone
 How Performance Analytics solution from Kavaii solved the problem and helps grow topline
 Performance portal to demonstrate high performance dictated by Moore's law to its
customers.
 Kavaii automated the end-to-end workflow of generating results to reporting them in real
time across the world through a web portal
 Post G0-Live Results - ROI on analytics
 Streamlined and automated performance delivered and in production use
 Analyst productivity improved by focusing on generating better results and not on
reporting reducing time to produce reports from 2 days to 2 minutes for any combination of
parameters.
 Product helps analyst focus on internal stakeholders and groups for upcoming processor
designs and performance experiments using the same platform
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14. Ex: Hi Tech Reporting
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15. Case Study: Integra (IT) - BPA
 About Integra
 Integra is an IT services company based in Bangalore with solution services, product
selling revenue of Rs 100 crores
 Business Situation/Problem
 Insights were not available on a regular basis to corporate management
 Revenue and cost management was ad hoc with little view into project execution and
profit
 Data regime is not an established practice, let alone automated.
 How Performance Analytics solution from Kavaii solved the problem and helps achieve more
efficiency
 Kavaii automates the end-to-end workflow of generating results to reporting them in
real time
 Rule-based insights flag alerts and anomalies that are not possible by ad hoc means
 Post GO-Live Results - ROI on analytics
 Timely Monday morning reports and analysis available to CEO and management team.
 Critical actionable insights have been foreseen to provide better pipeline
management, better utilization of assets, and flag sales misses ahead of time
 Clear ROI of > 10x demonstrated on the investment made on the analytical
sys tem
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16. Ex: Kavaii BPA Product
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17. Case Study: AT&T (Telecom) - PPA
 About AT&T
 Intel is a $40B US company leader in telecom and wireless services
 Business Situation/Problem
 Forecasting of capacity planning of wireless towers is error prone with 40%+
error
 AT&T team using Tibco tools (Splus) but unable to streamline the production of
analytics and data workflow to generate meaningful analysis
 How Performance Analytics solution from Kavaii Solved the problem and helps grow
topline
 Kavaii delivered a streamlined interface to run the analysis and data sourcing in a
single platform; contributing to analysis cycles to be in days instead of weeks
 Project based flexible engagement allowed for customization based on workflow
 Post G0-Live Results - ROI on analytics
 Streamlined and automated performance experiments by analysts, while also
having management view results and consume analytics in real time
 Analyst productivity improved by focusing on generating better results
 Management productivity improved by being able to up level results to drive
company goals
 30x ROI delivered.
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18. Ex: Telecom Modeling
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19. How can you start BI initiative?
Traditional BI in Medium Enterprises (~ 2 years, Rs 5 to 15 cr. / 3 year TCO)
Evaluation Scoping Team Build Products Search KPI Consulting Implementation
1 month 2 months 3 months 3 months 3 months 9-12 months
Pure Services Firm 17-20 Months, Rs 5-15 Cr
Evaluation Scoping Team Build Products Fit KPI Consulting Implementation
1 month 2 months 1 month 1 months 3 months 9-12 months
Project Based 13-16 Months, Rs 5-10 Cr
Evaluation Scoping Team Build Products Fit KPI Consulting Implementation
1 month 2 months 1 month 1 months 3 months 6-9 months
Product Based 2 Months, Rs 25L- 1 Cr
Evaluation + Scoping + KPI Fitting Product Deployment
1 month 1 month
• Time to deploy - 1/10th
• Time to actionable insights - 1/10th
• Cost - 1/10th
• ROI - 1000x
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20. Kavaii | Analytics Flow
Client
Kavaii Analytics Shop
User experience
Mobile
Design
Shop Ideation/
Analytics Portal
Report
Design
KPIs
SIMPLIFY
Dashboards Creation
Portal
Report Generation Layer App Site Inputs
INNOVATE
OLAP & Query
Analysis
Design
R
Shop
Predictive
execution Analytics Constraints
Solution
Database Blueprints
Design
Database Layer
Big Data
Shop
Performance
Design
VERTICALIZE Kavaii Analytics
Hardware Platform Cloud kPortal
(Datacenter, Cloud) Shop Vertical
Expertise (Products)
Best of breed Technology
(open source based)
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21. Analytics Maturity Model
1. STANDARD REPORTS
Less mature
Answer the questions: What happened? When did it happen?
Example: Monthly or quarterly financial reports.
2. AD HOC REPORTS
Answer the questions: How many? How often? Where?
Example: Custom reports that describe the number of hospital patients for every diagnosis code for each day of the week.
3. QUERY DRILLDOWN (OR OLAP)
Answers the questions: Where exactly is the problem? How do I find the answers?
Example: Sort and explore data about different types of cell phone users and their calling behaviors.
4. ALERTS
Answer the questions: When should I react? What actions are needed now?
Example: Sales executives receive alerts when sales targets are falling behind.
5. STATISTICAL ANALYSIS
Answers the questions: Why is this happening? What opportunities am I missing?
Example: Banks can discover why an increasing number of customers are refinancing their homes.
6. FORECASTING
Answers the questions: What if these trends continue? How much is needed? When will it be needed?
Example: Retailers can predict how demand for individual products will vary from store to store.
7. PREDICTIVE MODELING
Answers the questions: What will happen next? How will it affect my business?
Example: Hotels and casinos can predict which VIP customers will be more interested in particular vacation packages. More mature
8. OPTIMIZATION
Answers the question: How do we do things better? What is the best decision for a complex problem?
Example: Given business priorities, resource constraints and available technology, determine the best way to optimize your IT platform to satisfy the needs
of every user.
Source: SAS
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22. SMARTE Analytics framework
 Specific • Relevant
 What: What do I want to o Does this seem worthwhile?
 S Specific 
accomplish?
Why: Specific reasons, purpose or • Timely
benefits of accomplishing the goal. o When?
 M Measurable  Who: Who is involved? o What can I do 6 months from
now?
 Which: Identify requirements and
 A Attainable constraints. o What can I do 6 weeks from
now?
 Measurable o What can I do today?
 R Relevant 

How much?
How many?
• Evaluate
 o Who is being measured against
 T Time-bound
How will I know when it is
accomplished? these goals
o Rewards on goals met
 Attainable
 E Evaluate
o Consequences
 How can the goal be accomplished?
7-10 KPIs, others are PIs
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23. Kavaii | Business Performance Analytics
Revenue Analysis
Customer Analysis
Profitability Analysis
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24. Kavaii Product Line
Consumable Analytics Delivered
 Business Performance Analytics (BPA)
 Quality Performance Analytics (QPA)
 Sales Performance Analytics (SPA)
 Project Performance Analytics (PPA)
 HR Performance Analytics (HRPA)
 Hospital Analytics Platform
 PhenomicPredictor™ Platform
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25. Sample list of KPIs
 BPA
 PPA
 QPA
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26. Engagement Model | 2x2x2
Engage Architect Deliver
Business metrics
KPI overview Solution Design
Relevant KPIs Early prototyping
Solution
Data sources
Development and
2 hour Proof of Concept
Deployment
presentation SOW preparation
2-3 months
Product fit 2-3 weeks
Data gathering
“Training 2”
2 day workshop
“Training 1”
Products
Customization
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27. Kavaii | Product Innovation
Kavaii Data Analytics Shop
Manufacturing | Healthcare | Infrastructure | Hi Tech | Telecom | Banking
Kavaii Blueprints Kavaii Engineering Kavaii Innovation Center
SimpleAnalyticsTM Database BI Stack Cloud Shop Big Data Shop
User
Darwin Galileo Analytics R Shop Mobile Shop
Interface
ScalableAnalytics TM
Da Vinci
“Kavaii App Portal” complete solution
Business Intelligence | Predictive Modeling | Big Data
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28. Kavaii | Consulting
Solutions
Kavaii Intelligent Solutions Practice
Retail | Healthcare | Infrastructure | Hi Tech | Financials| Government
Business Intelligence Data Analytics
Consulting Consulting
Oracle IBM KPIs Dashboards
BIDW Cognos
Big Data Cloud
Microsoft
SAP-BO SAS
BI R
“In-sourcing” expertise
End-to-end data analytics | Data consulting |
Solution Implementation | On going support
Design Think + SMARTE Analytics Framework
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29. Demo
 BPA – IT Demo
 BPA – Mfg Demo
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30. Q&A
passion for data
sales@kavaii.com | http://kavaii.com
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31. Impact of Kavaii® SPA
Impact of Kavaii® SPA actions
Current methods Future Forecast Surety
are inadequate and
80%
not based on data analysis
90%
Linear Models
Today 2013 Today 2013
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