6 things to make analytics work
Post on 07-Jan-2017
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SIX THINGS TO MAKE ANALYTICS WORK
JOZO KOVACFOUNDER & HEAD OF PRODUCT
ANALYTICS IS MAGIC
E-COMMERCE EXAMPLE Company A Company B Investment €1 000 000 €1 000 000 CPC 0.50 € 0.5€ Profit 5 € 6 € Visit - To cart 10% 15% Cart - Buy 60% 66% Buy - Buy 20% 25% Company A Company B Visitors 2 000 000 2 500 000 Carts 200 000 300 000 Purchases 120 000 198 000 Extra purchases 24 000 49 500 Revenue 720 000 € 1 485 000 € Change -280 000 € 485 000 €
Extra purchases
Purchases
Carts
0 100,000 200,000 300,000
Company Performance
Company B Company A
Company A Company B
-400 000 €
-300 000 €
-200 000 €
-100 000 €
0 €
100 000 €
200 000 €
Profit / Loss
TOP 3 EU TELCO OPERATOR
OTHER EXAMPLES
WHAT MAKES ANALYTICS WORK?
#1 VISION
VISIONARY LEADERS ALWAYS PUSH THE LIMITS
EXAMPLES
• Set expectations, never satisfied with status quo
• Want hard insights, not opinions
• Create conditions for success• Try new things to improve
products
• Simon Sicko, CEO PixelFederation
• Michal Stencl, CEO Sygic• Oliver Dlouhy, CEO Skypicker• Tomas Bella, CPO DennikN• Jeff Weiner, CEO LinkedIn
CHARACTERISTICS
#2 EXPERTS
EVERY COMPANY NEEDS AN INTERNAL ANALYTICS HERO
EXAMPLES
• Curiosity• Drive• Problem solving ability• Any specialization• Ability to push the team
• Tomas Bella, CPO DennikN• Patrik Dragula, CEO Pelikan,
Topankovo• Roman Paulen, CPO Sygic• Martin Janovcik, CMO Skypicker• Gábor Szénási, Producent Pixel
Federation
ANALYTICS HEROES
#3 USE CASES
TO SUCCEED, YOU NEED TO START WITH A GOOD USE
CASEEXAMPLES
• Measurable and significant value
• Positive return on investment• Implementable in <1 month• High importance/visibility• Support from top management• Simple to explain
• Acquisition, Activation, Retention, Revenue, Referral (AARRR)
• Web or app personalization• Contact optimizations• Churn / sales / uninstall
predictions• Segmented offers
WHAT IS A GOOD USE CASE
#4 BUSINESS TOOLS
CHOOSING THE RIGHT TOOL IS CRITICAL FOR SUCCESS
EXAMPLES
Specialized software for end-users what boost productivity & deliver value in best possible time: • Business intelligence • Marketing automation tools• Various online solutions
Top vendors: IBM, SAS, Oracle,
Salesforce, Adobe
Tableau, Clickview,
WHAT A MAKES A TOOL GREAT
#5 DATABASES
LAMBDA ARCHITECTURE ENABLES TOP PERFORMANCE AT
AFFORDABLE COST
#6 DATA
RELIABLE AND WELL STRUCTURED DATA ARE KEY
EXAMPLESThere’s too much data. It’s art to distinguish what’s important.• What data should we capture?• What’s important & what’s
noise? • What data should we buy?• How long should we keep
data?
The most important and the easiest to collect are data about:1. your users and customers2. your business performance &
KPI3. external APIs4. market trends
HOW TO THINK ABOUT DATA
Vision
Experts
Use cases
Tools
Databases
Data
• Customer Analytics & Marketing Automation Platform
• Fastest time-to-value on the market
Achieve exponential growth by:• Platform effect– Each new customer makes platform better
• Viral effect– Each customer brings 2+ new customers
Strategy of Exponea
OUR EXECUTIVE TEAM COMBINES EXPERIENCE FROM BUSINESS AND
TECHNOLOGY WORLDPeter Irikovsky – CEOFormer CEO @ Slevomat (100M+ EUR revenue, strongly analytical, fastest growing internet firm in CZ), Regional Director @ Groupon UK and Consultant @ McKinsey & Company, currently MP @ LRJ CAPITAL (SK VC),
Jozo Kovac – Head of Product Company founder and chief analyst, former Business Intelligence Consultant @ IBM, Data Mining Specialist @ Adastra
Martin Strycek – Head of Technology Former Product owner @ RSD (IT Systems governance), Head of Development @ Piano Media (world leading media pay-wall solution)
Michal Pastier – Head of MarketingCreative Director and Co-Founder @ Zaraguza Digital (Ogilvy, the only winner of Silver Facebook Studio Award in the region), featured in Forbes SK cover page, 1st SK copywriter who won Cyber Cannes Young Lions Award
Michal Novovesky – Head of SalesSales & Marketing Manager @ Relbit (among top 10 at Slush, world leading startup conference), voted 2x as the best participant of Nexteria Leadership Academy
... DEMO ...
TECHNICAL CHALLENGES
WE FACE
FRONTEND• How to make user interaction with data a great and
enjoyable experience?– Discover & implement new visualisation libs?
• How to visualize really big data?– Rendering performance of JS?
• How to make complex use cases “noob proof”?– Simple user interface >> hard-core?
• Real-time vs. slow?• Scalability • Security• Platform open to all developers
BACKEND
• What are the best algorithms?• How strongly should ML be automated?• Can we combine ML with other
techniques?
MACHINE LEARNING
ONE MORE THING…• Intelligent analytics built from Slovakia
competing with the whole world• To succeed we just need great frontend,
backend and machine learning
Thank you!
Visualize Conversion Funnels- Deep dive into analytics- Practical coding example- Use JavaScript skills
Tuesday 8th MARCH 2016 5pm - 8pm
REGISTER ON FEEDBACK FORMS
Exponea Front-end Workshop - 8th March
Martin Strýček Head of IT
Marián GálikFull-stack Lead SW Engineer
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