THOMAS DE CLERCKCCO & FOUNDER

GLAD YOU ARE HERE

CUMUL.IODATA TALKS Thanks o omin : APROPLAN, B-Hi e, Boo ook, Clea Fa ts, C un h Anal ti s, Cu i o, Customs T ade, Data Minded, Di ipolis, d!nk, D opsolid, E i ado, E entPulse, Field&Con ept, FOD E onomie, Fo anise , Glo is, Halito!, Hat h So t a e, Hint!, HRlinkIT, Hu en i, I omet i , In The Po ket, iRea hm, JSM, KBC, Mede i, Mo ieT ain, M lène, ne o ks, Omni asa, OnlineWe k ooste . e, openthe o . e, Pen il , Plenion, P oSo e Data, Rialto, SD Wo , Selli ent, Semko, Skedi , Sma t in, Stad Ant e pen, Stad Gent, Sta in Jane, Sta tit@KBC, Suppl Sta k, Su e An pla e, Teamleade , Telenet, The P i a Fa to , Tomo o land, TopSpo tsLa , T entt, T ustteam, Ve te a, Wate leau, Wo ke o

1

Lea n a out all Thin s Data:

om ke note speake s andom ea h othe

in a laid- a k settin

3

DATA TALKS TIMELINEWhat to e pe t

D opsolid Ap oplan B eakData-D i en

De ision Makinh - h

D ink, Min le,

& Sha eh - h

Data Inte ation

in SaaSh - h

4

DATA TALKS TIMELINEWhat to e pe t

Cumul.ioP odu t Roadmap

Ou SaaSChe klist

HAROENh - h

KARELh - h

Net o kin

CONVERSATION STARTERSLea n om ea h othe

7

THE FREEDOM TO MAKE DIGITAL

BUSINESS EASY

DOMINIQUE DE COOMAN

CEO & FOUNDER

DROPSOLID WITH CUMUL.IOHo to make data d i en

de isions

DOMINIQUE DE COOMAN• CEO & Founde D opsolid

• Ba k ound• D upal de elopment + j• D upal opensou e ommunit + j• Sta tup/S ale up ommunit SaaS/PaaS + j

• Inte ests• Di ital usiness models• Di ital te hnolo ies• Helpin ustome s and ommunit

T itte : domini uedLinkedin: .linkedin. om/in/domini uede ooman

DROPSOLID• D opsolid – Di ital usiness ompan

• Founded • + emplo ees• Mission: Makin di ital usiness eas• Vision: C eatin alue, time & eedom

• P odu ts & Se i es• St ate • De elopment se i es • PaaS • SaaS

• D opsolid. om• Hosts + e appli ations• ma ket se ments Ente p ise, mid ma ket, SME/ind• + ustome s• o i es Ghent, Hasselt

SUMMARY• Wh is data so impo tant?• Multiple usiness models• Data E e he e

• Sales• Ma ketin• Finan e• Ope ations• Custome suppo t• HR

• Con lusion

Why data?Vision mission alues

Summary

WHY DATA?

Multiple business modelsData e ery here

Why data?

MULTIPLE BUSINESS MODELS

FOCUS• Data is a out ans e in uestions• Fo us it is a out keepin o us• Kno hat is oin on e p esent• Colla o ation ein t anspa ent• E e od an unde stand the plan• You an make it a s stem

Data e ery hereQuestions

Multiple business models

SALES

MARKETING

OPERATIONS

INFRASTRUCTURE

CUSTOMER SUCCESS

FINANCE

CONCLUSION• Data is u ial to d i e ou usiness• Data allo s a mo e omple usiness model• Comple usiness models allo s to se e mo e ustome s pe sonalised• Data ins time• Data eates t anspa en in the ompan

✓ Data moti ates✓ Data eates en a ement✓ Data eates t ust

Flying Dropsolid feels like this nowInstead of flying blind …

Flying Dropsolid feels like this now

END - FOLLOW UST itte :

✓ @d opsolid✓ @domini ued

Linkedin✓ https:// .linkedin. om/ ompan /d opsolid/✓ https:// .linkedin. om/in/domini uede ooman/

We site✓ https://d opsolid. om✓ https://domini uede ooman. om

28BRINGING TOGETHER ALL THE SITE

STAKEHOLDERS AROUND THE OBJECTIVES

OLIVIER GILLINCHIEF PRODUCT OFFICER

29

The po er o inte ration in SaaSOur Cumul.io integration journey

Olivier Gillin

CHIEF PRODUCT OFFICER (CPO)

APROPLAN

Data > In ormation > Con lusion > A tionaproplan.com

• Engineer by training

• Product guy by passion

• BE > US > UK > SG/CN > BE

• Apply B2C UX to B2B products

• Like disrupting with tech

Cost o han eaproplan.com

● Constant changes are a reality

● The sooner the cheaper

● Pen and Paper is a burden

From Pen and Paper to di ital olla orationaproplan.com

PEN AND PAPERCOLLABORATION

DIGITAL COLLABORATION

YESTERDAY TODAY

Onsite most processes always start with Pen and paper making collaboration difficult

Starting process digitally allows centralisation of data keeping everyone on the same page

E er da li e o a Site Mana eraproplan.com

COMMUNICATION CHANNELS

ACTIVITIES

GROUND FLOOR V4.PDF

PMForeman

INTERNAL TODO

GCAdvisers

Client

Site Diary QUALITY CONTROL

PLAN

VCA SECURITY

3RD PARTY VISITS

(PRE) HANDOVER

GCSubC.

3-WEEK PLANNING

PMInt. SecuForeman

GCAdvisers

ClientSubC.

- GC- Advisers

- Client- SubC.

- GC- SubC.

To Do

Checklists

Planning

% O er ie

Focus on your core

Leverage existing & ongoing innovation

Require smooth integration and high level of availability

Balance customisation with readily available large feature set

Best o reed strateaproplan.com

+/- 3 months

Plugin with a C# backend

○ Early days of the plugin > Brainstorming with Cumul.io team for the best fit

○ Plugin API directly to our backend as Data sources

Challenge Display

○ data based on visibility rights define in APROPLAN

Kudos to Cumul.io for

○ Documentation and the SDK

○ Flexibility in branding/styling using CSS

A short Inte ration pathaproplan.com

Dash oard to De ide and A t

Same authentication flow

Fully customized styling & branding

User credentials only in Aproplan

www.aproplan.com

Creating insights across many projects

○ to generate learnings and more efficiencies …

○ will require managing larger sets of data

Enhance User experience using embedded charts

○ as visual reporting to transition PDF to online

○ as navigation tool to go from insights to actions on the field

Ne t hallen esaproplan.com

Thank ou

Olivier Gillin

CPO APROPLAN

ogi@aproplan.com

KAREL CALLENSCEO & FOUNDER

CUMUL.IO

OUR SaaS CHECKLISTappea .in, asana, a s, Bit u ket, u e , Cumul.io, E ent ite, Fa e ook,

ithu , Gmail, Goo le Ads, Goo le Anal ti s, Goo le alenda , Goo le D i e, inspe tlet, lastpass, LinkedIn, mail himp, pin dom, Repl , send id, sk pe, slaask, sla k, st ipe, Teamleade , t a kjs, T ello, T itte , Wo dp ess, Youtu e, Yuki & man mo e

39

FACT

CUMUL.IOLOVES SAAS

MOVE FAST GROW TOGETHER EVERYWHERE IMPROVES OVER TIME

No installNo maintenanceBuilding blocksFaster time-to-market

Scale worrilessCosts in line with usageAdd features on the goOnboard new users fast

Mac, Win, LinuxDesktop, mobile, …Real-timeWork on any device

Seamless auto updates Grows on feedback of manyBest of breed

HIGHLY OPINIONATED

42OUR SAAS CHECKLIST

# The Fit

Solution? Fle i le?

Is the e a t ial? See it in a tion!

Does it sa e ou time/mone ?

43OUR SAAS CHECKLIST

# Cost / P o it

● P o it o Cost

● TCO SaaS lo e TCO on a e a e*

● Oppo tunit ost

* Source: https://thesaasreport.com/saas/

OUR SAAS CHECKLIST

# Futu e p oo

SCALESEAMLESS

MODULARPRICING

FITS INOWN FUTURE

IMPROVESOVER TIME

OUR SAAS CHECKLIST

# Data 45

Who o ns the data?

Can I e t a t the data?

Whe e is it sto ed?

OUR SAAS CHECKLIST

# API46

Can I p o ammati all inte a t?

Inte ation in ompan sta k

En i h ou data

47OUR SAAS CHECKLIST

# Do s & Suppo t

Qualit o the do s

E amples ode, tuto ial

Ho is suppo t? du in & a te t ial

OUR SAAS CHECKLIST

# Build s Bu48

O ompanies st u le to ind ood de elope s

Sa en inee in time has e ome the

onst aint to inno ate

Fo us on o e

Time to ma ket

Limit maintenan e

* Source: Stripe at SaaStr Europe 2018

49

CUMUL.IO

Ou SaaS Che klist

KAREL CALLENSCEO & FOUNDER

WHERE ARE WE

CUMUL.IOIN & ONWARDS+ dash oa ds. + datasets. + plu ins unnin . Team has

o n to . P esen e in ount ies. Quad upled e enue in estimated to do this ea . St en thened the inte ated anal ti s o e in . Laun hed the Cumul.io A adem . Un eiled de elope . umul.io. Rollin elease + . ne ha ts. Faste inte ation. P esen e in NYC. Laun hed ne onne to s. T o- a indin . open jo positions. E ited o the utu e.

50

51VISION

DATA DRIVENGut eelin in an

e e - han in o ld is la ed.

API WORLD CLIENT INSIGHTS

BEST OF BREEDBusiness ill keep mo in

to a ds est-o - eed solutions.

CLOUD IS STANDARDA essi ilit is ke : an time, an he e in the o ld and on an de i e

When data is dispa ate a ood & open API

is u ial

Clients o so t a e plat o ms no ada s

e pe t in o mation in a isual a

DEVELOPERDe elope time is s a e.

Use it o ou o e o e in

MISSION

B in data d i en de ision makin to all, ith an e t emel

sho t time-to-insi ht

53

CUMUL.IO THROUGH TIMEA SHORT RECAP

Q Q O to e

Founded + suppo ted

sta tIt@KBC, Telenet

Ki ksta t & Ime

COMMERCIALISATIONFi st lients & Inte nationalisation

BBNY

INTEGRATIONOFFERING

A Buildin lo k to add

dash oa ds to ou

plat o m

PLUGINSConne t an datasou e:

API, e oti DB s, a oss

datasou es, ...

Conne t. C eate. Inte ate!

54

CUMUL.IO THROUGH TIMEA SHORT RECAP

Q Q Q TodaQ

E ited o the utu e!

INVESTMENT

SMARTFINSt on elie e s in

Cumul.io, ena lin o th

on a ds

DEVELOPER.CUMUL.IOOu API ompletel

do umented ith ode

samples in lan ua es

ACADEMYThe o to pla e to et up

and unnin in a ji

Conne t. C eate. Inte ate!

55WHERE ARE WE

FUN FACTS

SMB, Ente p ise, Go e nment

+ DASHBOARDS

ompa ed to last ea pu li & se u e

+CLIENTS

BE, NL, US, UK, SE, DK, FR, ES, IT, AUS, TR,

NZ, BR, BG

COUNTRIES

56

KAREL CALLENSCEO & FOUNDER

HAROEN VERMYLENCTO & FOUNDER

BRUNO VERBRUGGENCUSTOMER RELATIONS

MEET OUR AWESOME TEAMWE ARE HERE FOR YOU!

MIEKE HOUBRECHTSMARKETING

YANNICK CRABBEFRONTEND

SHUBHAM SHRIVASTAVPLUGINS

NATALIIA DEINEHA OUTBOUND SALES

HELA KACEMINBOUND SALES

BRECHT DE ROOMSFULL STACK

THOMAS DE CLERCKCCO & FOUNDER

CHARLOTTE GREANTBUSINESS DEVELOPMENT NYC

57

PRESALES &CUSTOMER SUCCESS

A ja k o all t ades om inin data, dash oa ds, and a ustome - ent i mindset.

?JOIN OUR TEAM

58

SOLUTIONSENGINEERSOLUTIONSENGINEER

A data an le that makes it happen , no-nonsense & lient

o used

?JOIN OUR TEAM

59

SALESEXECUTIVE

Al a s sha p & ith an inte nal ompass set on the

eation o oppo tunities

?

JOIN OUR TEAM

HAROEN VERMYLENCTO & FOUNDER

THE ROAD AHEAD

CUMUL.IOPRODUCT ROADMAPRollin elease + . Bette APIs. Imp o ed anal ti al po e . Easie data inte ation. E ited o the utu e.

60

tested & deplo ed eleases

61

62

LET S REWIND

Plu in APIFle i le data adapte to ou o n APIs & e oti data sto es

Desi ne UI / UXRe amped Hie a h Edito , Template Dash oa ds, Undo, ne Cha t T pes

Metadata S n h onizationAutomati dataset olumn st u tu e s n h onization

plu ins up & unnin

A e ation Pushdo nQue Pe o man e Booste

63

64

65

66

67 —

MAIN FOCUS AREAS

S ala ilit & Pe o man e

In eased Anal ti al

Po e

Ease o Inte ation

68

—

Ease o Inte ation

69Dependen Mana ementA u ate Metadata Dependen G aph

Soon

Dataset C

Dataset A

Dashboard

Dataset B

Dataset D

Dataset C

Dataset B

Used in chart

Used in filter

Used in expression

Used in expression

70Inte ation Imp o ementsInte ate name, e sion & end-use

In-p odu tion p ote tion

D nami dash oa d oute

Suppo t multiple en i onmentsWo k ith ou e sion ont ol & deplo ments

Planned

71Plu in Imp o ementsPlu in spe

Lo in & Monito in

Plu in Hie a h

✔ Plu in We hooksSoon

72URL Filte inLi ht ei ht inte ation ~ manipulate ilte s ia URL

PlannedPlanned

73

—

In eased Anal ti al Po e

74Post-a e ationMo e ad an ed a e ations and indo in un tions

● What is the a e a e ma imum t a i jam len th pe da ?

● What is the a e a e % in ease o su se uent measu ements o a senso ?

● What is the umulati e num e o si n-ups?

● What is the eek-o e - eek % han e o a tual hou s illed om dataset A s. ud eted hou s om dataset B ?

Up omin

75Timezone Imp o ementsWo k hassle- ee ith omple mi ed timezone data

Lo al File Upload Timezone Re o nition

Timezone-a a e De i ed ColumnsFo mat dates & times in a i ed o d nami timezone

O anization TimezoneA e ate data a oss a sin le timezone to et onsistent epo tin

Up omin

76Dash oa d Imp o ements

E po t ithRuntime Filte s

Linked Filte in

Continuall

Ne ha ts

Desi ne UX

Up omin

77

—

S ala ilit & Pe o man e

78Multi- e ion deplo mentDe eased laten ies to load dash oa ds o ld ide

Cu entl :- Du lin, I eland + F ank u t a ea, Ge man

Futu e:- Ohio, USA + O e on, USA- CDN at all AWS Ed e lo ations o pu lished dash oa ds

✔ Dedi ated VPC Soon

79G ouped Que iesIn-memo a hin + statisti al optimization o ue ies

= su s iptions= SQL ue ies

Planned

80G ouped Que iesIn-memo a hin + statisti al optimization o ue ies

= su s iptions= SQL ue

Planned

81

Follo ou Jou nehttps:// oadmap. umul.io

82

Don t unde estimate theompoundin a esomeness

o ontinuall i insmall oken thin s.