This document discusses how an organization transitioned from an idea of data-driven decision making to a practice of it within a few months by adopting the self-service business intelligence tool Metabase. It provides a case study comparing Metabase to Tableau in terms of user access, usability, data discovery capabilities, and facilitating data democratization. Key benefits of Metabase included its ease of use, low cost, and ability for any employee to create and share dashboards and metrics without needing specialized training or tool expertise. While not perfect, Metabase was effective for the organization's needs and helped increase weekly active usage among approximately 200 employees.
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Confused about how to ensure data management activities get accomplished as you organizations transitions from a traditional software development and management methodologies to agile ones? This presentation explains the key differences in integration points between traditional and agile processes, provides tactical approaches to inserting data governance work into the agile flow. It provides an overview of agile organizational structures, enabling you to ensure they account for data governance roles performed in your organization.
3 Key Takeaways
1. An understanding of how traditional checkpoints or gateways leveraged by the data governance community map to new agile processes and workflows
2. How and when to engage agile teams
3. How to ensure your data governance staff and activities are accounted for in agile organizations
A summary of the philosophy and approach taken by the TravelBird Data Science team (and company as a whole) that allows rapid development of new machine learning algorithms, data insights, and integration into production and operations.
BDT has moved from SAS-based workflow a cloud-based workflow leveraging tools like BigQuery, Looker, and Apache Airflow. Originally presented at the 2018 Pennsylvania Data Users Conference: https://pasdcconference.org/
Data Warehouses & Deployment By Ankita dubeyAnkita Dubey
This document contains the notes about data warehouses and life cycle for data warehouse deployment project. This can be useful for students or working professionals to gain the basic knowledge about Data warehouses.
Engaging Agile Teams for Data Governance ProfessionalsJoe McFadden
Confused about how to ensure data management activities get accomplished as you organizations transitions from a traditional software development and management methodologies to agile ones? This presentation explains the key differences in integration points between traditional and agile processes, provides tactical approaches to inserting data governance work into the agile flow. It provides an overview of agile organizational structures, enabling you to ensure they account for data governance roles performed in your organization.
3 Key Takeaways
1. An understanding of how traditional checkpoints or gateways leveraged by the data governance community map to new agile processes and workflows
2. How and when to engage agile teams
3. How to ensure your data governance staff and activities are accounted for in agile organizations
A summary of the philosophy and approach taken by the TravelBird Data Science team (and company as a whole) that allows rapid development of new machine learning algorithms, data insights, and integration into production and operations.
BDT has moved from SAS-based workflow a cloud-based workflow leveraging tools like BigQuery, Looker, and Apache Airflow. Originally presented at the 2018 Pennsylvania Data Users Conference: https://pasdcconference.org/
Data Warehouses & Deployment By Ankita dubeyAnkita Dubey
This document contains the notes about data warehouses and life cycle for data warehouse deployment project. This can be useful for students or working professionals to gain the basic knowledge about Data warehouses.
Power BI Governance and Development Best Practices - Presentation at #MSBIFI ...Jouko Nyholm
Selected slides from presentation regarding Power BI Governance and Development Best Practices. Presentation was held at MS BI & Power BI User Group Finland event 12.6.2018 at Microsoft Flux, Helsinki.
Without the animations & hands-on demos the slides do not tell the whole story, but hopefully valuable to some nevertheless.
Business Intelligence is more than just pretty visualsVincent Woon
Holistics is cloud BI that powers the data operations for businesses. We are self-funded, and our customers in the region include both young startups to large tech companies like Grab, Traveloka, Line Games, 99co, e27 and ShopBack.
We want to help people learn how to work with data, and make data work for them.
Companies ask questions from their data in the form of charts or numbers on a regular or adhoc basis. However, the process of preparing these data and reports is repetitive and time consuming. Data is also stored across different online applications which makes it difficult to have a single view of reporting.
Holistics automates the data pipeline process from source data to insights, reducing the time data teams spend preparing reports. Users can schedule email reports to be sent, or setup thresholds to notify them about changes in their business data.
There is a workspace for SQL analysts and data scientists to query, transform, and share datasets easily with each other. They can also troubleshoot slow-running queries on the fly without technical help.
Each Holistics dashboard can also be embedded in your in-house application, which reduces the time and effort for engineers to provide dashboards for their customers.
Business intelligence- Components, Tools, Need and Applicationsraj
As part of the research project for the course Technical Foundations of Information Systems at the University of Illinois, our team worked on the topic, Business Intelligence. The presentation focuses on what is Business Intelligence, its various components, latest tools, the need of BI as well as applications of this technology. This project deals with the latest development of BI technologies (hardware or software) and includes comprehensive literature survey from Journals, and the Internet.
Using OBIEE and Data Vault to Virtualize Your BI Environment: An Agile ApproachKent Graziano
First we interview the users, then we design a reporting model based on those interviews. We follow that up with mounds of ETL development to load the new model, basically keeping the user community in the dark during all that development. Does this sound familiar?
This presentation will demonstrate an alternative approach using the Data Vault Data Modeling technique to build a flexible, easily-extensible “Foundation” layer in our data warehouse with an Agile, iterative methodology. Relying on the Business Model and Mapping (BMM) functionality of OBIEE, we can rapidly virtualize a dimensional reporting model using the pattern-based Data Vault Foundation layer to decrease the time, and money, it takes to get BI content in front of end users. Attendees will see a sample Data Vault model designed iteratively and deployed to the semantic model of OBIEE.
Northern New England Tableau User Group (TUG) May 2024patrickdtherriault
Join us live in Portland or over the wire for networking and two fantastic presentations! Data viz freelancer Desireé Abbott will demonstrate how adding interactivity to your dashboards will delight and spark curiosity in your users. Then, Charlotte Taft & Laurie Rugemer will reprise their TC24 presentation on the keys to building a successful analytics team.
Northern New England TUG May 2024 - Abbott, Taft, Rugemerpatrickdtherriault
Join us live in Portland or over the wire for networking and two fantastic presentations! Data viz freelancer Desireé Abbott will demonstrate how adding interactivity to your dashboards will delight and spark curiosity in your users. Then, Charlotte Taft & Laurie Rugemer will reprise their TC24 presentation on the keys to building a successful analytics team.
Watch this webinar in full here: https://buff.ly/2MVTKqL
Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy.
Attend this session to learn why data virtualization:
• Is a must for implementing the right self-service BI
• Makes self-service BI useful for every business user
• Accelerates any self-service BI initiative
Using sharepoint to solve business problems #spsnairobi2014Amos Wachanga
Using sharepoint to solve business problems #spsnairobi2014. This presentation was done by Amos Wachanga of Techno Brain Ltd at Sharepoint Saturday Nairobi event on 18th Oct 2014, held at Techno Brain HQ in Nairobi, Kenya.
The presentation creates a business scenario at start, then introduces Sharepoint and mentions some key features that would solve identified business problems, and finally using the case study and examples, ties it all down through a typical solution creation for the business scenario.
North American Collaboration Summit: Analyzing Teams engagement & adoption - ...panagenda
Speaker: Ben Menesi (https://www.panagenda.com/team/ben-menesi/)
Abstract: For most organizations deploying Teams, only about 16% of employees turn out to be early adopters – arguably a wasted adoption budget.
In this hybrid technical & adoption session, you will learn from real-world customer examples where usage and engagement analysis has helped others like you conquer common adoption problems.
You will see how Admin Center, Office 365 Activity Reports, Microsoft Graph & PowerShell can serve as data goldmines for your organization's usage patterns. The insights you gain can be used to increase and sustain user adoption rates beyond what you thought possible.
At the end of this seminar, you will be thoroughly prepared to achieve your adoption goals by understanding:
- the strengths and limitations of the data available to you
- how to interpret and instantly use this data to maximize and sustain user engagement
- how to generate the best possible return on your investment
Salma Karina Hayat is Conscious Digital Transformation Leader at Kudos | Empowering SMEs via CRM & Digital Automation | Award-Winning Entrepreneur & Philanthropist | Education & Homelessness Advocate
Power BI Governance and Development Best Practices - Presentation at #MSBIFI ...Jouko Nyholm
Selected slides from presentation regarding Power BI Governance and Development Best Practices. Presentation was held at MS BI & Power BI User Group Finland event 12.6.2018 at Microsoft Flux, Helsinki.
Without the animations & hands-on demos the slides do not tell the whole story, but hopefully valuable to some nevertheless.
Business Intelligence is more than just pretty visualsVincent Woon
Holistics is cloud BI that powers the data operations for businesses. We are self-funded, and our customers in the region include both young startups to large tech companies like Grab, Traveloka, Line Games, 99co, e27 and ShopBack.
We want to help people learn how to work with data, and make data work for them.
Companies ask questions from their data in the form of charts or numbers on a regular or adhoc basis. However, the process of preparing these data and reports is repetitive and time consuming. Data is also stored across different online applications which makes it difficult to have a single view of reporting.
Holistics automates the data pipeline process from source data to insights, reducing the time data teams spend preparing reports. Users can schedule email reports to be sent, or setup thresholds to notify them about changes in their business data.
There is a workspace for SQL analysts and data scientists to query, transform, and share datasets easily with each other. They can also troubleshoot slow-running queries on the fly without technical help.
Each Holistics dashboard can also be embedded in your in-house application, which reduces the time and effort for engineers to provide dashboards for their customers.
Business intelligence- Components, Tools, Need and Applicationsraj
As part of the research project for the course Technical Foundations of Information Systems at the University of Illinois, our team worked on the topic, Business Intelligence. The presentation focuses on what is Business Intelligence, its various components, latest tools, the need of BI as well as applications of this technology. This project deals with the latest development of BI technologies (hardware or software) and includes comprehensive literature survey from Journals, and the Internet.
Using OBIEE and Data Vault to Virtualize Your BI Environment: An Agile ApproachKent Graziano
First we interview the users, then we design a reporting model based on those interviews. We follow that up with mounds of ETL development to load the new model, basically keeping the user community in the dark during all that development. Does this sound familiar?
This presentation will demonstrate an alternative approach using the Data Vault Data Modeling technique to build a flexible, easily-extensible “Foundation” layer in our data warehouse with an Agile, iterative methodology. Relying on the Business Model and Mapping (BMM) functionality of OBIEE, we can rapidly virtualize a dimensional reporting model using the pattern-based Data Vault Foundation layer to decrease the time, and money, it takes to get BI content in front of end users. Attendees will see a sample Data Vault model designed iteratively and deployed to the semantic model of OBIEE.
Northern New England Tableau User Group (TUG) May 2024patrickdtherriault
Join us live in Portland or over the wire for networking and two fantastic presentations! Data viz freelancer Desireé Abbott will demonstrate how adding interactivity to your dashboards will delight and spark curiosity in your users. Then, Charlotte Taft & Laurie Rugemer will reprise their TC24 presentation on the keys to building a successful analytics team.
Northern New England TUG May 2024 - Abbott, Taft, Rugemerpatrickdtherriault
Join us live in Portland or over the wire for networking and two fantastic presentations! Data viz freelancer Desireé Abbott will demonstrate how adding interactivity to your dashboards will delight and spark curiosity in your users. Then, Charlotte Taft & Laurie Rugemer will reprise their TC24 presentation on the keys to building a successful analytics team.
Watch this webinar in full here: https://buff.ly/2MVTKqL
Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy.
Attend this session to learn why data virtualization:
• Is a must for implementing the right self-service BI
• Makes self-service BI useful for every business user
• Accelerates any self-service BI initiative
Using sharepoint to solve business problems #spsnairobi2014Amos Wachanga
Using sharepoint to solve business problems #spsnairobi2014. This presentation was done by Amos Wachanga of Techno Brain Ltd at Sharepoint Saturday Nairobi event on 18th Oct 2014, held at Techno Brain HQ in Nairobi, Kenya.
The presentation creates a business scenario at start, then introduces Sharepoint and mentions some key features that would solve identified business problems, and finally using the case study and examples, ties it all down through a typical solution creation for the business scenario.
North American Collaboration Summit: Analyzing Teams engagement & adoption - ...panagenda
Speaker: Ben Menesi (https://www.panagenda.com/team/ben-menesi/)
Abstract: For most organizations deploying Teams, only about 16% of employees turn out to be early adopters – arguably a wasted adoption budget.
In this hybrid technical & adoption session, you will learn from real-world customer examples where usage and engagement analysis has helped others like you conquer common adoption problems.
You will see how Admin Center, Office 365 Activity Reports, Microsoft Graph & PowerShell can serve as data goldmines for your organization's usage patterns. The insights you gain can be used to increase and sustain user adoption rates beyond what you thought possible.
At the end of this seminar, you will be thoroughly prepared to achieve your adoption goals by understanding:
- the strengths and limitations of the data available to you
- how to interpret and instantly use this data to maximize and sustain user engagement
- how to generate the best possible return on your investment
Salma Karina Hayat is Conscious Digital Transformation Leader at Kudos | Empowering SMEs via CRM & Digital Automation | Award-Winning Entrepreneur & Philanthropist | Education & Homelessness Advocate
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Explore Tradeasia’s brochure for eco-friendly textile chemicals. Enhance your textile production with high-quality, sustainable solutions for superior fabric quality.
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- How to SHUT DOWN the revolving door of Income Stagnation… you know, where new sales come into your magazine while at the same time existing sponsors exit.
- How to transform your magazine business by fixing the 4 “DON’Ts”...
#1 LEADS Don’t Book
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- How to identify which leak to fix first so you get the biggest bang for your income.
- Get actionable strategies you can use right away to improve your bookings, sales and retention.
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Reflect Festival Limassol May 2024.
Michael Economou is an Entrepreneur, with Business & Technology foundations and a passion for Innovation. He is working with his team to launch a new venture – Exyde, an AI powered booking platform for Activities & Experiences, aspiring to revolutionize the way we travel and experience the world. Michael has extensive entrepreneurial experience as the co-founder of Ideas2life, AtYourService as well as Foody, an online delivery platform and one of the most prominent ventures in Cyprus’ digital landscape, acquired by Delivery Hero group in 2019. This journey & experience marks a vast expertise in building and scaling marketplaces, enhancing everyday life through technology and making meaningful impact on local communities, which is what Michael and his team are pursuing doing once more with Exyde www.goExyde.com
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Also Intelisync, our cutting-edge service designed to streamline and optimize your marketing efforts, leveraging data-driven insights and innovative strategies to drive growth and visibility for your project.
With a data-driven approach, transparent communication, and a commitment to excellence, InteliSync is your trusted partner for driving meaningful impact in the fast-paced world of Web3. Contact us today to learn more and embark on a journey to crypto marketing mastery!
Ready to elevate your Web3 project to new heights? Contact InteliSync now and unleash the full potential of your crypto venture!
2. Why am I presenting this?
Because a data driven culture, where management and operational personnel
consume data to optimise what they are doing is a goal, not a reality.
In our mission to help organisations make data driven decisions, there are many
obstacles.
Data access, tool knowledge, and acceptance of data are 3 obstacles where
metabase is particularly good at helping organisations in their journey.
Onward, I present how this tool was used to bring an organisation from an idea of data
usage, to a practice of data usage in the space of a few months.
3. Requirements for making data driven decisions
The Fogg behaviour model
dictates that in order to take
action, a motive, opportunity and
means are necessary.
In data this translates to:
● Goals (quantifiable goals)
● Ability (to analyze data)
● Availability (access to data)
4. What can you (the data person) do to facilitate data
driven decision making?
Goals Ability Availability
● Track goals and
process steps
● Make analysis easy
● Educate decisionmaker
in analysis techniques
● Teach self service tools
● Choose easy to use
self service tools
● Access for everyone
● Easy access
● Data marts or easy to
use reports
● Also non conformed
data access for the
exploratory analysis
inclined (eg, product
team can QA directly
on a production dump)
5. The usual suspects that prevent data
democratisation● High complexity to use the tools which leads to difficult training
● Lack of accessible documentation of data or complexity to access documentation (dictionary link not
easily reachable from point of data consumption
● Lack of or out of date documentation of tool (eg, tableau)
● Management slow to approve expense for licenses, since management is not the direct stakeholder
of data access for the masses.
● Management view that data should be hidden from employees for fear of leaks.
What to do?
Get a free, easy to use tool, with built in data dictionary and good documentation.
7. Case Study: Urban Sports Club
Tableau vs Metabase access
● 5 user accounts
● 4 of them for management
● ... of which 3 never logged in
● Further accounts pending
management approval, to be
discussed when it becomes of
interest to management.
● 200 view users + some
analyst/admin accounts cost
40k/year
● Accounts for all operational users
● User generated content
● 200 full access users cost 1-2k/year
in hosting cost
● Account creation and tool training
during employee onboarding.
● No approval needed, no
bottlenecks
● Management joined last (with
exceptions)
Tableau Metabase
8. Case Study: Urban Sports Club
Tableau vs Metabase Usability for analysts
● Offline files
● No versioning - people can and do fuck up.
● 5-10 min to save/upload turns into a 20min
watercooler chat/reddit binge
● Random crashes resulting in 30min lost
work
● 1-2h to create/download 12 dimension/filter
splits of a tabular view
● License management, user management
● Account types (viewers cannot edit)
● Outdated documentation
● Fully online
● Versioning and rollbacks
● Seconds to save
● Random crashes, work not lost
● 15min to create/download 12 splits
● Easy user management, no
licenses etc (just access/rights
groups)
● Up to date documentation
Tableau Metabase
9. Case Study: Urban Sports Club
Tableau vs Metabase usability for business
user
● 3-4 people 2x 60min sessions for
basic usage
● Designated analyst accounts can
create dashboards and charts
● No documentation/data dictionary
● Drill down
● Filters keep getting changed by
analysts
● 6-8 people 45min for basic usage
(including slack/email alerts
creation)
● Anyone can create charts, publicly
or privately
● Centralised metric definition with
documentation
● Data dictionary for reports
● No drill down, need to add other
dimension.
● Versioning for filters
Tableau Metabase
10. Case Study: Urban Sports Club
Tableau vs Metabase data discovery
● Search curated dashboards, find
topics
● Useful for finding something you
know exists
● Find questions among thousands
user generated questions, from
custom sql to various pivots with
auto naming
● Useful for searching by keyword in
large amounts of user generated
questions (discovery, eg, search for
‘churn’ and find everything about it)
● Centrally defined metrics accessible
through ask question wizard
Tableau Metabase
11. Case Study: Urban Sports Club
Tableau vs Metabase data democratisation
● Only analyst users can create
content
● Anyone can create and save
content in private or public spaces.
● Admins can curate data
dictionaries, segments and metrics,
to have an organisation-wide metric
definition
Tableau Metabase
12. Case Study: Urban Sports Club
Tableau vs Metabase usage statistics
● Can access own server usage
statistics after some configuration
heavy process
● Accessible by admin
● Postgres db containing:
● Users
● Refreshes
● Query duration
● Queries per day
● Downloads
● Top questions
● Queries or objects created by users
● Basically anything that exists in the
db
● Can create usage competitions :)
Tableau Metabase
13. How did we do it?
● Bottom up
● Ninja slack pushes
● Usage competitions with rewards
● Regular training sessions upon introduction (to 30% of
company, the rest picked it up from the trained ones)
● Training on onboarding to new employees
● Remainder of company followed
14. When did we
do it?
Approx 6
months span
*cumulative metrics are vanity,
feelgood metrics,
** they feel pretty good
15. How did we do?
We did pretty well, and so did the approx 200 employees. 30% of
company active weekly.
16. Is Metabase perfect?
No, but in data we learned to live with what works
● It crashes regularly on heavy loads, but comes back by itself. Work progress
is not lost because of URL parameterization.
● Basic visualisations only, but covers the vast majority of cases of
visualisation that add value. The trade-off for speciality visualisation is
probably not worth the extra complexity of something like tableau on an
organisation level.
● Has occasional bugs in axis labels, etc, that can be a little annoying, but not
game breaking.