ConnectIn Munich: No big data_Right questions

•

0 gefällt mir•760 views

Many thanks to our guests at ConnectIn Munich 2015. We hope you enjoyed the conference as much as we did. We have collected all presentations for you to download and to share with your peers. See you soon! Your team from LinkedIn.

Personalbeschaffung & Personalwesen

No Big Data -
But Right Questions!
by Lutz Finger

Philosophy of Today: Data’ism
source:googetrends
Search
Frequency
Time

Success Stories All Over...
Benchmark Recommendation & Filter Predict

“Big Data is bullshit.”
Harper Reed, CTO at Obama for America
Despite that…

No! We want Small Data!
Petabyte
Byte
We want actionable
Insights!

?
Actionable
Insights
Is the
Hardest
Part

Data by
itself
is
USELESS
Information by
itself
is
USELESS
Only Action Counts!

Disruption through Data - Where to Hire
Biz Development & Relationship Management Skills
DatabyLinkedIn

Disruption through Data:
Who To Market to
Databy
LinkedIn

Disruption through Data:
Who To Market to
Only in Finance
DatabyLinkedIn

Disruption through Data:
Who To Market to
Only in Finance
DatabyLinkedIn
Only in Business Development
DatabyLinkedIn

Career Planning
330+ Million Member at LinkedIn
60.000 with a Job Title that might fit
1.000 who switched after 3 to 8 years
500 who had the same career path

DATA IS KING
Photo by Pablo Silveira de Noronha Ribeiro under Creative Commons

Data Scientist
BI Analyst
Engineer
Product Manager

Data Scientist
BI Analyst
Engineer
Product Manager
Communication Skills Domain Knowledge

Weitere ähnliche Inhalte

Was ist angesagt?

Great Failures in Competitive Intelligence

Rand Fishkin

HARgh Matey, Network Traffic Validation Made Easy by Aaron Wolford

Sauce Labs

All Things Open 2016 Talk | BFFs: UX & SEO Partnering to Build Better Products

Hillary Pitts

1637 copy

rahulmore7477

15 Ways to Stand Out on Your IT Team

All Things Open

SearchLove London 2017 | Kirsty Hulse | The Campaign Flop: What to do When Yo...

Distilled

Artificial Intelligence from the Business perspective

Jen Stirrup

Sales executives deal with a daily barrage of data - forecast numbers, pipeline velocity, lead volume, territory effectiveness, win/loss reports. The biggest challenge is figuring out how to consume the data and translate it into better decision-making. How is this accomplished? The answer for an increasing number of successful sales leaders is an effective sales dashboard. Discussion Topics include: · The Explosion of Sales and Marketing Data · Key Metrics Sales Leaders are Tracking · Lessons Learned from a Sales Veteran · New Sales Dashboard Technologies

4 Steps to Creating an Effective Sales Dashboard

Domo

The Future for Marketers - Strategy, Creativity and Technology

Paddy Moogan

State of search

Dan London

In House SEM: How to Get What You Want

Dan London

It Shouldn't Be Scary to Go Digital

Kyle Lacy

Charles Cunningham - Capture the Essence of Your Brand Using Instagram Stories

Julia Grosman

SEJ Summit 2017: The Rise of Intelligent Search and Tomorrow's Consumers by D...

Search Engine Journal

SEO at Microsoft: "Insights Engine" By Derrick Wheeler

Search Marketing Expo - SMX

New Options Summit Presentation 11 4-10

Matt Moog

Actionable Web Analytics For E Government

Emagination ®

SparkToro Beta Sneak Peek

Rand Fishkin

Presented at Kansas Library Association (KLA) Annual Conference 2017 and 2017 KWM/SLA Fall Conference. Basecamp vs. Trello; Google Drive vs. Dropbox; Hootsuite vs. Tweetdeck—it can be difficult to get everyone on your team operating from the same cloud. There are a lot of options when it comes to survey and analysis tools, online storage spaces, social media platform strategies, project management tools, etc. Your library could also be paying for multiple subscriptions to premium tools that accomplish the same objectives. This session will focus on comparing popular cloud-based tools to improve your efficiency and ability to innovate in the cloud at your library. Attendees will leave with ideas for better engagement of patrons and co-workers as well as collaborative tools they may not have considered before that save time and energy. Attendees will also be better prepared to identify which tools would be most appropriate in any given situation. Topics to be addressed include: • Cloud offices: G Suite & O365 • Social Media Management • Webforms, surveys, polls, etc. • Re-imagining the intranet • Intro to automation

"Libraries in the Cloud: Transforming the way we work" co-presented with Will...

Nate Chamberlain

Ask any CEO what they want from their marketing team and they'll all say the same thing: growth. But with so many different things you could do, how do you know what you should do to unlock new growth? The answers you're looking for are hiding in your data. In this presentation we'll cover exactly how you can analyze your data to uncover new growth opportunities and achieve your goals. You'll learn how to: Slice your data to find new growth opportunities Validate ideas with simple tests before committing to expensive initiatives Use data to drive product changes that maximize growth You'll see real-world examples of how the growth teams at Airbnb, GrowthHackers and Facebook use this same process to unlock new growth from smart data insights.

How to Find the Big Growth Opportunities Hiding in Your Data

Kissmetrics on SlideShare

Was ist angesagt? (20)

Great Failures in Competitive Intelligence

HARgh Matey, Network Traffic Validation Made Easy by Aaron Wolford

All Things Open 2016 Talk | BFFs: UX & SEO Partnering to Build Better Products

1637 copy

15 Ways to Stand Out on Your IT Team

SearchLove London 2017 | Kirsty Hulse | The Campaign Flop: What to do When Yo...

Artificial Intelligence from the Business perspective

4 Steps to Creating an Effective Sales Dashboard

The Future for Marketers - Strategy, Creativity and Technology

State of search

In House SEM: How to Get What You Want

It Shouldn't Be Scary to Go Digital

Charles Cunningham - Capture the Essence of Your Brand Using Instagram Stories

SEJ Summit 2017: The Rise of Intelligent Search and Tomorrow's Consumers by D...

SEO at Microsoft: "Insights Engine" By Derrick Wheeler

New Options Summit Presentation 11 4-10

Actionable Web Analytics For E Government

SparkToro Beta Sneak Peek

"Libraries in the Cloud: Transforming the way we work" co-presented with Will...

How to Find the Big Growth Opportunities Hiding in Your Data

Ähnlich wie ConnectIn Munich: No big data_Right questions

HR Big Data: Fact or Fiction? | Talent Connect San Francisco 2014

LinkedIn Talent Solutions

Get Data Smart

Tableau Software

The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere. The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data. Join Cloudera and Forrester to learn: - What we mean by pervasive analytics, how it impacts your organization, and how to get started - How leading organizations are using pervasive analytics for competitive advantage - How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster

The Value of Pervasive Analytics

Cloudera, Inc.

2017 06-14-getting started with data science

Thinkful

Career_Jobs_in_Data_Science.pptx

HarpreetSharma14

Too often data myths lead to inefficient processes in CRM, broken systems and/or paralysis analysis. You don’t need to wield the hammer of Thor to make progress with your data management strategy, you just have to separate fact from fable. On this recorded webinar, Donato Diorio (@idonato) and Michael Farrington (@michaelforce), two experts in CRM and marketing automation technology, dispel several common data myths providing tangible and actionable advice to ensure good fortune for all who rely on your data.

CRM Data Myths

RingLead

Thinkful - Intro to Data Science - Washington DC

TJ Stalcup

Big Data for the Retail Business I Swan Insights I Solvay Business School

Laurent Kinet

Building data science teams

Gülşah Gürük, MSc, PMP®

Thinkful DC - Intro to Data Science

TJ Stalcup

Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This tutorial covers design assumptions, design principles, and how to approach the architecture and planning for multi-use data infrastructure in IT. Long: The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This session will discuss hidden design assumptions, review design principles to apply when building multi-use data infrastructure, and provide a reference architecture to use as you work to unify your analytics infrastructure. The focus in our market has been on acquiring technology, and that ignores the more important part: the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform then it should be a designed rather than accidental architecture. Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. What are the design principles that lead to good design and a functional data architecture? What are the assumptions that limit older approaches? How can one integrate with, migrate from or modernize an existing data environment? How will this affect an organization's data management practices? This tutorial will help you answer these questions. Topics covered: * A brief history of data infrastructure and past design assumptions * Categories of data and data use in organizations * Data architecture * Functional architecture * Technology planning assumptions and guidance

Architecting a Data Platform For Enterprise Use (Strata NY 2018)

mark madsen

Big data

promediakw

MapR apache drill

The Fiction Tribe ®

td-ameritrades-journey-from-data-warehouses-to-data-lakes_237777

Lindy-Anne Botha

D92-198gstindspdx

Thinkful

10 min guide to Marketing Automation: What is the one common threat all marke...

Anders Lindgren

Day 2: AI components

Martin Polozadeh

Startds9.19.17sd

Thinkful

Big Data - Harisfazillah Jamel - Startup and Developer 4th Meetup 5th Novembe...

Linuxmalaysia Malaysia

Chief data-officer-to-big-data-officer

Gary Allemann

Ähnlich wie ConnectIn Munich: No big data_Right questions (20)

HR Big Data: Fact or Fiction? | Talent Connect San Francisco 2014

Get Data Smart

The Value of Pervasive Analytics

2017 06-14-getting started with data science

Career_Jobs_in_Data_Science.pptx

CRM Data Myths

Thinkful - Intro to Data Science - Washington DC

Big Data for the Retail Business I Swan Insights I Solvay Business School

Building data science teams

Thinkful DC - Intro to Data Science

Architecting a Data Platform For Enterprise Use (Strata NY 2018)

Big data

MapR apache drill

td-ameritrades-journey-from-data-warehouses-to-data-lakes_237777

D92-198gstindspdx

10 min guide to Marketing Automation: What is the one common threat all marke...

Day 2: AI components

Startds9.19.17sd

Big Data - Harisfazillah Jamel - Startup and Developer 4th Meetup 5th Novembe...

Chief data-officer-to-big-data-officer

Mehr von LinkedIn D-A-CH

Key Note Jochen Kleinknecht - Unlock your Power of Data with LinkedIn

LinkedIn D-A-CH

LinkedIn Executive Summit: From Data Driven to the Data Revolution

LinkedIn D-A-CH

LinkedIn Executive Summit in Munich: Digital Transformation @ Scale

LinkedIn D-A-CH

LinkedIn Executive Summit in Munich: Digital is not a Project

LinkedIn D-A-CH

Die Candidate Journey auf LinkedIn

LinkedIn D-A-CH

Nehmen Sie Kontakt mit uns auf, wenn Sie mehr über die LinkedIn Lösungen für die Personalbeschaffung erfahren möchten: http://bit.ly/KontaktLNKD. Ein Kollege aus dem Beratungsteam wird sich bei Ihnen zurückmelden. Egal, ob Sie ein Unternehmen mit kleiner Anzahl von Mitarbeitern sind, oder ein großer Konzern - eine effektive und gelungene Onboarding-Phase für neue Mitarbeiter ist ein wesentlicher Erfolgsfaktor für die Mitarbeiterzufriedenheit und -bindung an Ihr Unternehmen. Wir wissen, wie schwierig es sein kann, einen guten ersten Eindruck zu hinterlassen, wenn man tagtäglich mit begrenzten Mitteln oder zeitlichen Ressourcen konfrontiert ist. In unserem Praxis-Webinar zeigen wir Ihnen, was Sie tun können, um neue Mitarbeiter erfolgreich an "Bord" zu nehmen und Absprungraten zu senken.

Wie Unternehmen und neue Mitarbeiter die ersten 100 Tage erfolgreich meistern!

LinkedIn D-A-CH

Lynda.com - Webinar: Glücklicher im Beruf. Umfrage und Tipps für die Weiterbi...

LinkedIn D-A-CH

The Next Generation of Recruiter- Product Webinar

LinkedIn D-A-CH

Webinar-Serie mit LinkedIn: Social Recruiting einsetzen (Suchfilter)

LinkedIn D-A-CH

Webinar-Serie mit LinkedIn: Social Recruiting anwenden (Product)

LinkedIn D-A-CH

Webinar-Serie mit LinkedIn: Social Recruiting verstehen

LinkedIn D-A-CH

[LinkedIn] Die vernetzte Arbeitskraft - Handelszeitung

LinkedIn D-A-CH

Next Generation Recruiting Workshop @Zalando HQ: Employer Branding with LinkedIn

LinkedIn D-A-CH

Sie haben konkrete Fragen über die Rekrutierung mit den LinkedIn Lösungen für die Personalbeschaffung? Klicken Sie: http://bit.ly/DemoLNKD und ein Experte wird sich kurzfristig mit Ihnen in Verbindung setzen. 75% der Berufstätigen sind offen für ein Gespräch über ihren nächsten Karriereschritt – selbst wenn sie nicht aktiv auf Stellensuche sind. Ein idealer Zeitpunkt, sich näher mit dem Thema Social Recruiting zu befassen. Mit sozialen Plattformen wie LinkedIn erhalten Sie Zugang zu diesen passiven Kandidaten und können Stellen schneller denn je mit den richtigen Personen besetzen. Als Einsteiger im Bereich Social Recruiting, sehen Sie hier, wie Sie: • ein überzeugendes Profil erstellen • Ihre Unternehmensmarke entwickeln • Ihre Kandidaten-Pipeline nachverfolgen und verwalten • die besten Kandidaten für Stellen finden, die schwer zu besetzen sind

Webinar LinkedIn 101 - Einstieg in Social Media Recruiting

LinkedIn D-A-CH

Networking Event: Von 0 auf 100 mit Salesforce - Ein Ratgeber für Ihr Wachstum

LinkedIn D-A-CH

Networking Event: Employer Branding für junge Unternehmen

LinkedIn D-A-CH

Networking Event: No Culture – No Employer Brand linked?

LinkedIn D-A-CH

Referral Tool auf LinkedIn

LinkedIn D-A-CH

Mit LinkedIn auch mobil die richtigen Kandidaten finden

LinkedIn D-A-CH

Built for the future with Workday #inZurich

LinkedIn D-A-CH

Mehr von LinkedIn D-A-CH (20)

Key Note Jochen Kleinknecht - Unlock your Power of Data with LinkedIn

LinkedIn Executive Summit: From Data Driven to the Data Revolution

LinkedIn Executive Summit in Munich: Digital Transformation @ Scale

LinkedIn Executive Summit in Munich: Digital is not a Project

Die Candidate Journey auf LinkedIn

Wie Unternehmen und neue Mitarbeiter die ersten 100 Tage erfolgreich meistern!

Lynda.com - Webinar: Glücklicher im Beruf. Umfrage und Tipps für die Weiterbi...

The Next Generation of Recruiter- Product Webinar

Webinar-Serie mit LinkedIn: Social Recruiting einsetzen (Suchfilter)

Webinar-Serie mit LinkedIn: Social Recruiting anwenden (Product)

Webinar-Serie mit LinkedIn: Social Recruiting verstehen

[LinkedIn] Die vernetzte Arbeitskraft - Handelszeitung

Next Generation Recruiting Workshop @Zalando HQ: Employer Branding with LinkedIn

Webinar LinkedIn 101 - Einstieg in Social Media Recruiting

Networking Event: Von 0 auf 100 mit Salesforce - Ein Ratgeber für Ihr Wachstum

Networking Event: Employer Branding für junge Unternehmen

Networking Event: No Culture – No Employer Brand linked?

Referral Tool auf LinkedIn

Mit LinkedIn auch mobil die richtigen Kandidaten finden

Built for the future with Workday #inZurich

Kürzlich hochgeladen

HRM PPT on placement , induction and socialization

Rishik53

Arjan Call Girl Service #$# O56521286O $#$ Call Girls In Arjan

parisharma5056

Call Girl In Dwarka ☎92055#41914 ¶¶ Indian,Russian Best Quality full Educated And Full Cooperative Independent Call Girls Escort Services In New Delhi- I Have Extremely Beautiful Broad Minded Cute Sexy & Hot Call Girls and Escorts, We Are Located in 3* 4* 5* Hotels in Delhi. Safe & Secure High Class Services Affordable Rate 100% Satisfaction, Unlimited Enjoyment. Any Time for Model/Teens Escort in Delhi High class luxury and premium escorts agency Indian Russian Call Girls In Delhi Booking Good High Profile Escorts (Call Girls) In Delhi 5 Star Hotel ,Incall Service,OutCall Service, We provide services by Call Girls,College Girls,Modals Get High Profile queens,Well Educated,Good Looking,Full Cooperative Model, Russian Models,Punjabi Girls Kashmeri Girls Services etc… We Provide Hottest Female With Safe And Consensual With Most Limits Respected Complete Satisfaction Guaranteed…Service. Call Me Spacial For Including Incall//outcall Service In New Delhi Indian Russian Escorts Service,

2k Shots ≽ 9205541914 ≼ Call Girls In Vinod Nagar East (Delhi)

Delhi Call girls

RecruZone - Your Recruiting Bounty marketplace

Davide Donghi

Webinar - How to set pay ranges in the context of pay transparency legislation

PayScale, Inc.

Mercer Global Talent Trends 2024 - Human Resources

mnavarrete3

Whatsapp (+971)558539980 We have Abortion Pills / Cytotec Tablets /mifegest kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, buy cytotec in Dubai (+971)558539980“”Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” (+971)558539980“BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE” Contact me now via whatsapp…… Abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol).

100%Safe delivery(+971558539980)Abortion pills for sale..dubai sharjah, abu d...

hyt3577

Cleared Job Fair Handbook | May 2, 2024

ClearedJobs.Net

The success of global payroll is a combination of the right internal team, their processes, and the right help from external vendors and partners. In this presentation, you will discover: 1. How to assess your organisation's payroll needs and match them to the right vendor services 2. Key strategies for evaluating potential vendors 3. How to get buy-in from senior management 4. The nuances of sustaining effective vendor partnerships, from setting clear expectations and communication channels to regular performance evaluations 5. Real-world insights into overcoming common pitfalls in global payroll management Tailored for payroll professionals looking to improve their global payroll operations by finding the right partners.

Mastering Vendor Selection and Partnership Management

Boundless HQ

Kürzlich hochgeladen (9)

HRM PPT on placement , induction and socialization

Arjan Call Girl Service #$# O56521286O $#$ Call Girls In Arjan

2k Shots ≽ 9205541914 ≼ Call Girls In Vinod Nagar East (Delhi)

RecruZone - Your Recruiting Bounty marketplace

Webinar - How to set pay ranges in the context of pay transparency legislation

Mercer Global Talent Trends 2024 - Human Resources

100%Safe delivery(+971558539980)Abortion pills for sale..dubai sharjah, abu d...

Cleared Job Fair Handbook | May 2, 2024

Mastering Vendor Selection and Partnership Management

ConnectIn Munich: No big data_Right questions

1. No Big Data - But Right Questions! by Lutz Finger

2. Philosophy of Today: Data’ism source:googetrends Search Frequency Time

3. It’s all about Patterns

4. Success Stories All Over... Benchmark Recommendation & Filter Predict

5. “Big Data is bullshit.” Harper Reed, CTO at Obama for America Despite that…

6. We could have predicted this…

7. Do we want Big Data? Petabyte

8. No! We want Small Data! Petabyte Byte We want actionable Insights!

9. ? Actionable Insights Is the Hardest Part

10. Your Companies company_name profile_viewer_ l1m non_employee_follow er_cnt cmp_page_view er_l1m inmails_s l1m Amazon - profile views 456805 1078127 31686 89 Salesforce - non employee follower 229050 405356 19610 9 Intel Corporation - page views 251278 485120 14433 6 Siemens - employee follower count 293901 697984 Logos to be done..

11. Your Skills

12. Your Connections

13. Your Connections

14. Data by itself is USELESS Information by itself is USELESS Only Action Counts!

15. Disruption through Data - Where to Hire Biz Development & Relationship Management Skills DatabyLinkedIn

16. Disruption through Data - Where to Hire Biz Development & Relationship Management Skills Data by LinkedIn

17. Disruption through Data: Who To Market to Databy LinkedIn

18. Disruption through Data: Who To Market to Databy LinkedIn

19. Disruption through Data: Who To Market to Data by LinkedIn

20. Disruption through Data: Who To Market to Only in Finance DatabyLinkedIn

21. Disruption through Data: Who To Market to Only in Finance DatabyLinkedIn Only in Business Development DatabyLinkedIn

22. Career Planning 330+ Million Member at LinkedIn 60.000 with a Job Title that might fit 1.000 who switched after 3 to 8 years 500 who had the same career path

23. THE ECONOMIC GRAPH

24. DATA IS KING Photo by Pablo Silveira de Noronha Ribeiro under Creative Commons

25. Data Creates Innovation ByAlistairCroll

26. How to build a Data Team

27.

28. Data Scientist

29. Data Scientist BI Analyst

30. Data Scientist BI Analyst Engineer

31. Data Scientist BI Analyst Engineer Product Manager

32. Data Scientist BI Analyst Engineer Product Manager Communication Skills Domain Knowledge

33. Thank You