wisdom of crowds webinar deck

Download Wisdom of Crowds Webinar Deck

If you can't read please download the document

Post on 07-Jan-2017

60 views

Category:

Technology

0 download

Embed Size (px)

TRANSCRIPT

Information Democracy

Connect. Describe. Explore.

Wisdom of Crowds WebinarWisdom of Crowds Webinar

1

This webinar will be recorded

We will take questions at the end

Welcome & Webinar Overview

Without further ado, I would like you to introduce you to Colin and Zach.

Russ GarnerData AnalystLookerHoward DresnerChief Research OfficerDresner Advisory Services

Meet our Presenters

Dresner Advisory Services

Wisdom of Crowds

Copyright 2016 Dresner Advisory Services, LLCwww.dresneradvisory.com

4

AgendaSuccess with Business IntelligenceState of Data and Action on InsightTargets, Objectives & PenetrationPrioritized Technologies and Initiatives Industry Ratings

Copyright 2016 Dresner Advisory Services, LLC

5

Success with Business Intelligence

Copyright 2016 Dresner Advisory Services, LLC

6

Copyright 2016 Dresner Advisory Services, LLC

7

Why BI Succeeds

Copyright 2016 Dresner Advisory Services, LLC

8

Why BI Fails

Copyright 2016 Dresner Advisory Services, LLC

9

The State of Data

Copyright 2016 Dresner Advisory Services, LLC

10

Copyright 2016 Dresner Advisory Services, LLC

11

Copyright 2016 Dresner Advisory Services, LLC

12

Action on Insight

Copyright 2016 Dresner Advisory Services, LLC

13

Copyright 2016 Dresner Advisory Services, LLC

14

Copyright 2016 Dresner Advisory Services, LLC

15

User Targets for Business Intelligence

Copyright 2016 Dresner Advisory Services, LLC

16

Copyright 2016 Dresner Advisory Services, LLC

17

Copyright 2016 Dresner Advisory Services, LLC

18

Business Intelligence Objectives

Copyright 2016 Dresner Advisory Services, LLC

19

Copyright 2016 Dresner Advisory Services, LLC

20

Copyright 2016 Dresner Advisory Services, LLC

21

Business Intelligence Penetration

Copyright 2016 Dresner Advisory Services, LLC

22

Copyright 2016 Dresner Advisory Services, LLC

23

Copyright 2016 Dresner Advisory Services, LLC

24

Copyright 2016 Dresner Advisory Services, LLC

25

Prioritized Technology and Initiatives

Copyright 2016 Dresner Advisory Services, LLC

26

Copyright 2016 Dresner Advisory Services, LLC

27

Copyright 2016 Dresner Advisory Services, LLC

28

Copyright 2016 Dresner Advisory Services, LLC

29

Copyright 2016 Dresner Advisory Services, LLC

30

Copyright 2016 Dresner Advisory Services, LLC

31

Copyright 2016 Dresner Advisory Services, LLC

32

Copyright 2016 Dresner Advisory Services, LLC

33

Copyright 2016 Dresner Advisory Services, LLC

34

Industry Ratings

Copyright 2016 Dresner Advisory Services, LLC

35

Copyright 2016 Dresner Advisory Services, LLC

36

BI Customer Experience Model

Copyright 2016 Dresner Advisory Services, LLC

37

BI Vendor Credibility Model

Copyright 2016 Dresner Advisory Services, LLC

38

Dresner Advisory Services

Wisdom of Crowds

Copyright 2016 Dresner Advisory Services, LLCwww.dresneradvisory.com

39

Connect. Describe. Explore.

Wisdom of Crowds WebinarRuss GarnerData Analyst

40

Traditional Approach

SUMMARY

OLAP / Data SummariesSILOEDRestricted Q&ALIMITED

DIFFICULT & CUMBERSOMEETL - Heavy TransformationEND USERBI TEAMETL TEAMEDW TEAMWANT TO ASK NEW QUESTIONS?A

B

?

C

IGJMHNFLDKQBZCPERSQFXEBZAXEVENT DATA

TRANSACTIONAL DATA

A quick visual into what this world looks like, data needed to be gathered and heavily transformed. Then it had to be prepared and summarized. Even then, the tools which accessed the data were often expensive installed software and their distribution was limited. If a person needed to ask a new question they may need to go all the way back to the summary or transformation steps. 41

% of Company UsersTechnical EffortTraditional BI Implementation CurveImplementationAdoptionMaturity

In reading the Dresner report, one of the most crucial takeaways was: the BI landscape is changing, user penetration (adoption), whos using it. Self Service reporting ranked near the top of companies priority lists. And even if the need is present, do those companies have an ability to implement and distribute it?

I wanted to talk for a minute about the BI implementation lifecycle Ive seen in the industry, and how reorienting the focus on web technology makes this much more achievable. Then well show you how Looker is designed to take advantage of this.

What were looking at here is an abstract/general case BI implementation lifecycle from the not-too distant past broken out into three phases. Implementation, adoption (making the reports available to users), and maturity

The initial setup was expensive and challenging. The adoption had to be limited to users sophisticated enough to work with the tools, and they required lots of installation.

When the project was complete, reports still needed to mostly be curated by experts and distributed, meaning the technical effort stayed relatively high (job security).

The number of people utilizing the data and taking action on insight stays relatively constant (if youre lucky), and it may even decline as users become frustrated with the inability to self serve.

Ideal BI Implementation Curve

Technical Effort% of Company UsersImplementationAdoptionMaturity

In reading the Dresner report, one of the most crucial takeaways was: the BI landscape is changing, user penetration (adoption), whos using it. Self Service reporting ranked near the top of companies priority lists. And even if the need is present, do those companies have an ability to implement and distribute it?

I wanted to talk for a minute about the BI implementation lifecycle Ive seen in the industry, and how reorienting the focus on web technology makes this much more achievable. Then well show you how Looker is designed to take advantage of this.

What were looking at here is an abstract/general case BI implementation lifecycle from the not-too distant past broken out into three phases. Implementation, adoption (making the reports available to users), and maturity

The initial setup was expensive and challenging. The adoption had to be limited to users sophisticated enough to work with the tools, and they required lots of installation.

When the project was complete, reports still needed to mostly be curated by experts and distributed, meaning the technical effort stayed relatively high (job security).

The number of people utilizing the data and taking action on insight stays relatively constant (if youre lucky), and it may even decline as users become frustrated with the inability to self serve.

A New Approach to BI

Transformation at QueryAGILE/SELF-SERVICE

3RD PARTY APPAPIANY DEVICEAnywhere for AnyoneWEB-BASEDCONSOLIDATEDSimple Extract & LoadMPP | REDSHIFT | MYSQLData Modeling LayerGOVERNEDDATA TEAMEND USERSINNOVATIONIGMHNFDKQACPERSQTUWXGHQZHUSAZK

TRANSACTIONAL DATA

EVENTDATAZBQA

AZ

LookMLThe Looker ApproachMaturity

45

Ideal BI Implementation Curve

Technical Effort% of Company UsersImplementationAdoptionMaturity

In reading the Dresner report, one of the most crucial takeaways was: the BI landscape is changing, user penetration (adoption), whos using it. Self Service reporting ranked near the top of companies priority lists. And even if the need is present, do those companies have an ability to implement and distribute it?

I wanted to talk for a minute about the BI implementation lifecycle Ive seen in the industry, and how reorienting the focus on web technology makes this much more achievable. Then well show you how Looker is designed to take advantage of this.

What were looking at here is an abstract/general case BI implementation lifecycle from the not-too distant past broken out into three phases. Implementation, adoption (making the reports available to users), and maturity

The initial setup was expensive and challenging. The adoption had to be limited to users sophisticated enough to work with the tools, and they required lots of installation.

When the project was complete, reports still needed to mostly be curated by experts and distributed, meaning the technical effort stayed relatively high (job security).

The number of people utilizing the data and taking action on insight stays relatively constant (if youre lucky), and it may even decline as users become frustrated with the inability to self serve.

100% In DatabaseLeverage all your dataAvoid summarizing or moving it

Modern Web Architecture Access from anywhereShare and collaborateExtend to anyone LookML Intelligent Modeling LayerDescribe the dataCreate reusable and shareable business logic

The Technical Pillars That Make It Possible

47

Lets See The Demo!

Q&A

THANK YOU FOR JOINING

Recording and slides will be posted.We will email you the links tomorrow.

See you next time!Next from Looker Webinars: BigQuery + Looker at Infectious MediaSee how Looker works on your data. Visit looker.com/free-trial or email discover@looker.com.

Connect. Describe. Explore.

Wisdom of Crowds WebinarThank You!

51

Recommended

View more >