Look at how one of India largest travel portal is using QlikView Business Discovery for fact-based decision making. The CIO of Make My Trip shares his views on how Qlik is enabling them in their Business Intelligence, Data Discovery & Analytics approach.
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Business Discovery @ Make My trip
1. QlikView Case Study @ MakeMytrip
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Sanjay Kharb
Vice President – Business Intelligence and Infra
2. Vision and Requirements
• Make Data Hub rather than DataWareHouse
• Single source of truth for serving needs of reports,
dashboard, analysis for MMT
• Automation, Reconciliation, Trends & Predictive
Analytics
• Integration of Big Data platform
• Help Business User by Self BI
• Easy, accurate access to information
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3. What were the Challenges
• Reporting and Analysis existed in silos
• Data analysis & tracking trends was nearly
impossible
• Inconsistency issues with stale/offline data
• Heavy dependency on Excels
• Unable to process large amount of transactional
data
• TAT was more, due to the use of MS Excel
• Predictive analysis was missing
• SOX compliance does not favor core Financial tasks
to be done on Excel
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4. Why Qlik View?
• Association Model suited our data integration
• Feature set matched our needs for rapid development
and information availability
• Best fit Single stack for entire BI requirement
• It provisions for multi geography, multi lingual options
for MMT group of companies
• We could tailor it for Actions- postings, workflow, hooks
to our other systems
• Jan 2012 – implementation kick-off Qlikview in MMT
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7. •Bucketed in 4 Areas
–Finance
–Marketing
–Operations
–Management
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Focus Areas
8. Finance – Air Operations
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• Background
• Reconcile data from Airlines,
Banks and Payment gateways
• ETL from multitude sources like
API’s Web crawling, Emails, CSV
dumps
• Auto posting of reconciled data
into ERP
• MIS, Leakage, Predictive Reports
10. Finance – Land Operations
• Tracking booking during life cycle from
sales till operations to mmt agents
• Typical Analytics
– Product ,Vendor Payment tracking system
– Customer outstanding Alert System
– Outstanding Debtors
– MTD, YTD , QoQ and DoD trendings
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11. Finance - Statuary Report System
• Ratios allocation for different
entities
• LOB wise Dimension Analysis for
Different Entities
• Chart of Account Analysis for
Different Entities
• Trail Balance Analysis for Different
Entities
• Profit & Loss Analysis based on LOB
• Historic data analysis and trending
• Operating Matrix for Quarter
earning/growth
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12. Marketing - Demand Calendar
• Search and Travel Hotspot
Analyzer
• Hooked with Events
• Real time demand in
upcoming months by
– destinations, dates/
events, origin cities and
LOB(s)
– Predictive analysis based
on booking & search
analytics
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13. Marketing - Loyalty Decision System
• Prediction analysis on WoW, MoM based on points
earned/redeemed
• Trending of earn/burn points per booking by LOB,
Activity, Tier, Date
• Tier activity tracking system
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14. Marketing – Campaign Management
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• Automation of segments & bucketing of customers
• Identifying New Acquisitions
• Handling Reactivation Base
• Promoting Mobile App Downloads
• Data management(standardize and normalize)
• Preference Management
16. Operations -Call Center WorkFlow Automation
• WorkFlow For Call Center
Operations
• Help to resolve VISA,
Payment, Vouchers,
Customer Queries
• Integerated with CRM
• Streamlined the Call
Centers Queues
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17. Management Dashboard
• Single View for Finance, Operations, Business,
Marketing and Technical Performance
• Daily, Weekly Dashboards for overall Performance,
trend Analysis
• ROI, Margin Dashboard
• Outliers
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18. Learning
• Needs patience, first victory will seem far fetched
• Build incrementally
• Have a long term view on Data Model and Design
• Functionality first, data representation later
• Savvy Engineers - Inhouse or SI
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19. What can Qlik can do better
• Use of Flash Disks a/w In-memory
• More Qlik’s Consultants in India
• More Flexible Licencing
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