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Building A Data-Driven Company #3
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Which Analytics Tool Should You Use Or Not Use in 2024?
About the BI Toolbox Talk
If dinosaurs used dashboards, they would have the same question. Which BI tool should I use for my company?
Most experts will tell you that there is no right or wrong answer to this question. That is true. But you can certainly learn which tool is the right choice for YOUR company. Or, maybe more importantly, which one is not?
Many factors should drive this decision:
Do I want business people to build their own reports, or use dashboards delivered by the analysts?
How to make sure that your data is secure?
What are the apparent and hidden costs of each option?
Any mistake at this point is expensive. From wasted resources and lost opportunities to unhappy users in your inbox. If you want to learn how to make the right decision in the first shot, watch now our webinar!
You will learn about the crucial criteria for finding the right match. You will learn the process of selecting a BI tool in a way that ensures your users are seamlessly onboarded, fully aligned, and satisfied with the final choice.
Finally, our expert speakers, with years of experience in major BI tools will show you some of the top tools in action (PowerBI, Tableau, Looker, Looker Studio).
Most experts will tell you that there is no right or wrong answer to this question. That is true. But you can certainly learn which tool is the right choice for YOUR company. Or, maybe more importantly, which one is not?
Many factors should drive this decision:
Do I want business people to build their own reports, or use dashboards delivered by the analysts?
How to make sure that your data is secure?
What are the apparent and hidden costs of each option?
Any mistake at this point is expensive. From wasted resources and lost opportunities to unhappy users in your inbox. If you want to learn how to make the right decision in the first shot, watch now our webinar!
You will learn about the crucial criteria for finding the right match. You will learn the process of selecting a BI tool in a way that ensures your users are seamlessly onboarded, fully aligned, and satisfied with the final choice.
Finally, our expert speakers, with years of experience in major BI tools will show you some of the top tools in action (PowerBI, Tableau, Looker, Looker Studio).
You will learn:
Why is important to choose the right tool?
What criteria for BI Tool selection you should think about?
Live Demo of PowerBI, Tableau, Looker, Looker Studio
Q&A
About the Speakers
Meet some of our experts who will guide you through your data-driven journey
- Anna WnuczkoBI DeveloperOver the course of several years, Anna has actively engaged in the Business Intelligence field, both developing solutions from the ground up and maintaining existing systems. She has traversed a career path, progressing from a data analyst to a BI Engineer.
BI Tool: Looker - Piotr MenclewiczData Analytics & Data SciencePiotr helps companies to make better and more data-driven decisions. He's worked with startups and big corporations and supported all kinds of stakeholders (from operational teams to management and executives). He mainly focuses on value-driven analytics, reporting, and machine learning, often at the intersection of business and technical teams.
BI Tool: Looker Studio, Tableau, Looker, Power BI - Przemysław BaranPower BI SpecialistCertified expert in Microsoft Power BI, leverages his analytical expertise from the advisory industry to create tailored Business Intelligence solutions. Over the last few years, he has been developing comprehensive BI solutions for firms and also dedicated the past year to mentoring, imparting his knowledge and skills to others seeking to master Power BI.
BI Tool: Power BI
Sign up and get access to Building Data-Driven Company #1, #2, and #3!
Register for the upcoming webinar and get access to the previous session, where we drove you through some of the core aspects of the Modern Data Platform and showed you how to build or adapt your data strategy to make the most of the AI innovations.
The link to the recording you will find in a dedicated email.
The link to the recording you will find in a dedicated email.
Check out our video
Building an analytics platform from scratch while developing production solutions on top of it
In this webinar, we shared our story of a year-long journey with an Asian telecom of creating a positive feedback loop between building a data analytics platform and moving analytics into it.
This story includes real-world analytics use-cases such as: cost of network incidents, ARPU (Average Revenue Per User), NBO (Next Best Offer), cost of service, RFM (Recency, Frequency, Monetary Value), churn and a few more. Everything seasoned with open-source (Spark, Presto, Nbdev) and latest ML Ops technologies (KubeFlow, Feast).
This is the performance given by our team during the Big Data Technology Warsaw Summit on February 2021.
Speakers:
Borys Sobieraj - Head of Analytics
Piotr Menclewicz - Data Scientist and Data Analyst
Data-Driven Fast Track: Introduction to data-drivenness with Piotr Menclewicz
In this webinar, Piotr talked about GetInData's Data-Driven Fast Track, the 3-step framework for data transformation.
You will learn:
➡ How to assess how data-driven your company is
➡ How to generate ideas for new initiatives to push your company towards better decisions
➡ How to think about implementing these initiatives to increase your chances of success If you miss it live don't despair.
Watch the video and feel free to diagnose your company by filling out the survey prepared by our team here! After completing the survey, you will receive a tailored summary report with insights from one of our experts. Below you'll find links to all the materials mentioned in the workshop needed for exercises.
Speaker:
Piotr Menclewicz - Data Scientist and Data Analyst
GetInData | Part of Xebia is a leading expert company delivering cutting-edge Big Data, Cloud, Analytics, and ML/AI solutions. The company was founded in 2014 by data engineers and today brings together 120+ big data specialists. We work with international clients from many industries, e.g. media, e-commerce, retail, fintech, banking, and telco, such as Truecaller, Spotify, ING, Acast, Volt, Play czy Allegro. Our clients are both fast-growing scaleups and large corporations that are leaders in their industries.
We maintain laser focus on data technologies, cultivate a very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences and contributions to open-source.
We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give competitive advantage and unlock the full business potential of their data.
We maintain laser focus on data technologies, cultivate a very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences and contributions to open-source.
We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give competitive advantage and unlock the full business potential of their data.
GetInData | Part of Xebia is a leading expert company delivering cutting-edge Big Data, Cloud, Analytics, and ML/AI solutions. The company was founded in 2014 by data engineers and today brings together 120+ big data specialists. We work with international clients from many industries, e.g. media, e-commerce, retail, fintech, banking, and telco, such as Truecaller, Spotify, ING, Acast, Volt, Play czy Allegro. Our clients are both fast-growing scaleups and large corporations that are leaders in their industries.
We maintain laser focus on data technologies, cultivate a very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences and contributions to open-source.
We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give competitive advantage and unlock the full business potential of their data.
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