Excited to share the last and final part of my three-episode series on BI data storytelling accelerator lessons learned. We’ll be digging into the last but most exciting step in our BI Data Storytelling Mastery Framework, 'What you Draw'. Useless visualizations are everywhere!
This episode will give you seven things to avoid and ways to fix them to ensure you bring your A-game when it comes to visualizing your storyboard. Tune in for knowledge bombs galore!
- [05:53] Never skip the mock-up stage: 90% of us make the mistake of getting directly into drawing without a mock-up. Always make sure you a client signs off before you start on the mock-up and you have some sample data
- [09:34] Doing mock-up before getting a sign off on the storyboard and the analytics data dictionary. Without a sign-off, you should never go into the drawing board
- [11:44] Starting from scratch all the time: Nothing wastes more time than having to start from scratch all the time. To save on time, always treat every project you build like an asset. Every template you build as a team should be repurposed as a template for the users.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/72
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Tune in as I recap lessons learned from our latest accelerator class. This part two in the series of three podcasts, which deep dives into our BI data storytelling framework, where we tackle three parts of storytelling. 1) What You Say, 2) What You Write, and 3) What You Draw.
I dive into some of the biggest mistakes people make when working with users and writing down their requirements, including why so many get confused with the different story parts and how to fix it. Tune in to this amazing BI masterclass!
- [04:36] - How to become a better master storyteller.
- [13:20] - Changing your questions and process to create an effective data story.
- [14:25] - Biggest mistakes people make when working with users to gather requirements and create an amazing data story.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/71
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Welcome to the first part of a three-part podcast, with each episode touching on the part of our data storytelling framework. You’ll find a deep dive into each part of the framework and find out what lessons were learned and the big takeaways from our last data telling accelerator workshop, which was a huge success.
Even though there are other data telling stories schools of thought, one element our followers love is how we tackle the three parts of storytelling: what you say, what you write, and what you draw. As we’ve learned, this starts with your conversation.
Find out what feedback I received from the workshop post-survey, the biggest mistakes people make when trying to sell to end-users, and why most people don’t know that 99% of questions you ask your client are data-related and why they shouldn’t be.
- [03:53] Storytelling starts with your conversation and with the content that you write. If you get that part right, the part that you have to visualize becomes very easy. We teach this process and also implement this process at big companies around the world.
- [07:25] Guessing off the top of your head what you think is going to happen is a waste of time. The biggest value of our framework is breaking down the storytelling process into parts for you to be able to quickly see what a story truly is, how to bring it together, and to see the gaps in your current story to remedy those holes in your story and bring your story together.
- [13:28] Humans make decisions with their emotions and then they use logic to justify it. So if you are one that is using ginormous words that are not visual or thinking that the more data you give to your end users is going to make them better users, you are grossly mistaken.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/70
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Today’s episode features Tiankai Feng, Global Director and Voice of Consumer Analytics at Adidas. Tiankai is going to help you decide if you need an analytics Quarantune. A Quarantune is music or a song that is created for quarantine. The best part about this one is that it is all about data and analytics. Trust me - it’s not only fun but it literally speaks to our daily lives in this field!!
In this super fun episode, my amazing co-host Lillian Pierson and myself discuss Tiankai’s unique talent for combining analytics and music and how it plays into his day-to-day roll at Adidas. He also shares his Digital Analytics Anthem while dropping a number of knowledge bombs right in the song. Tune in to find out if you could use an analytics Quarantune. Knowledge bombs galore!
- [26:03] - Tiankai on working with analysts: Analysts are great collaborators and not only service functions that have to follow your guidance, but we have to work together to make an impact.
- [34:54] - Tiankai on the pandemic: You can predict and plan the most things possible, but when really big unexpected things happen like a pandemic or a huge society issue then none of those plans can actually work as you planned before. Having data and timely insights is even more important now so you can act timely and the right way.
- [41:01] - Tiankai on the Perfect Job: It is always easy to complain, but it is so much harder to solve the issues. If you are not happy with the situation then try to change it.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/69
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You don’t want to miss Vincent share the three steps he took after he left Lillian’s class that led to his success in 90 days. He discussed how he chose the right problem to solve, and the challenges he faced while setting expectations, and most importantly how he measures success! Tune in and be sure to share with others that struggle with their data strategy. Knowledge bombs galore!
- [17:03] Vincent’s takeaways from Lillian’s course: “What I learned from the workshop really inspired me and was really insightful. We have a lot of data in our company. We have to ask: ‘What can we do with that data? How can we monetize it better? How we can drive revenue from the data?’”
- [23:06] Vincent on understanding the data you have: “Once you understand your data you can move on to implement the right models and generate the right insights.”
- [41:43] Vincent on what is most important: “What is most important is actually transforming your data into relevant insights. Don’t jump quickly into the solution. Sit down, narrow down your problem, find the real cost, and seek out different solutions. Only then you can find the most effective solution.”
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/68
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Data isn’t just relevant in the US, it’s important all over the world. And currently, the Caribbean is experiencing something of a movement in relation to data. In today’s episode, you’ll hear from Raquel Seville, the CEO of BI Brainz Caribbean. Learn what’s happening in the Caribbean on the data scene, how data innovation is taking center stage, and how you can be a part of it.
- [13:49] - What’s happening with data in the Caribbean right now
- [21:07] - What the rest of the world can learn from the data work happening in the Caribbean
- [21:07] - What the rest of the world can learn from the data work happening in the Caribbean
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/67
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Data literacy is one of the most sought after cultural transformations of 2020. In episode #47 we discussed ‘Why we should stop saying ’data literacy’. Today’s guest, Jordan Morrow, shared the episode on Linkedin sparking off some very interesting and even defensive responses from the data literacy social media mafia.
Today, Jordan joins the podcast to share his unique point of view on the topic. Known as the pioneer of data literacy, tune in to learn how to start a data literacy practice, the best audience for data literacy skills, and what the most important data literacy skills are. Knowledge bombs galore!
- [16:43] - Key Quote: “Not everyone needs to be a data scientist, but everyone should develop skills in data analytics in today’s day and age.” – Jordan Morrow
- [22:53] - The order that data literacy skills should be taught in
- [29:25] - Other phrases that could be used instead of data literacy
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/66
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Are you a BI/Analytics leader who is tired of creating useless reports or dashboards? Are you struggling to get users over to your BI portal? Ever thought about embedding your analytics? If so, then you have to check out Logi Composer, the first ever out of the box development experience for teams who want to get up and running fast! Logi Analytics is offering AoF Listeners a special 14-day trial to get up and running fast! Just visit - logianalytics.com/aof
Just a few years can be a lifetime in the data world, but there’s reason to expect that PowerBI, which has already taken the business intelligence world by storm, is set up for at least a ten-year reign? Why is that? What do you need to know about PowerBI?
That’s exactly what today’s guest Patrick Leblanc is going to cover! As the co-host of the famous Guy in a Cube YouTube channel (with over 100,000 followers), and Principal Program Manager at Microsoft, Patrick share’s his unbiased view of whether or not he feels that PowerBI is here to stay. He also shares practical ways to embrace PowerBI in your organization and gives some of his thoughts about the future about PowerBI! Whether you have Power BI or your considering it this episode is a must listen and share! Enjoy!
- [32:41] - Patrick on getting started in Power BI: “I say you take a really slow step toward that solution, and the first thing you need to do is really look at your data.”
- [33:50] - Patrick on Power BI Adoption: “That’s the big tip, you have to be gradual with these people.”
- [43:58] - Patrick on trying Power BI: “You can honestly just get into PowerBI desktop, which is free, do everything you need globally, kick the tires on it if it doesn’t work, it cost you some time, because of your human resource cost, but for the most part, you’re going to pay them anyway. So it costs you nothing.”
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/65
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Many companies want to use data to gain a competitive edge in their industries--this can pose a challenge for organizations whose core business is not inherently technical. To make things worst lots of providers and consulting firms push unproven strategies and technical solutions that don't work. My guest today, Heather Smith is a data leader who has over 15 years of experience in the data science field, including recognition as one of Seattle's Top 5% of Women Engineers by Women Impact Tech.
As co-founder of Rove Technologies, Heather teaches how to set realistic expectations, when it comes to senior management and why it’s so important. She shares real-world examples of where expectations were set, and unfortunately when they were not. In a more personal tone, she discusses how her female appearance has impacted her professionally. Listen in to hear Heather talk about the role of executive expectation management in data science and how you can start managing expectations correctly!
- [26:51] - The role of executives in data management
- [29:54] - Heather on Data Literacy: “Often very smart people including executives, become dumb in the face of data.”
- [45:48] - Whether the team that built the successful model should own the model
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/64
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Are you a BI/Analytics leader who is tired of creating useless reports or dashboards? Are you struggling to get users over to your BI portal? Ever thought about embedding your analytics? If so, then you have to check out Logi Composer, the first ever out of the box development experience for teams who want to get up and running fast! Logi Analytics is offering AoF Listeners a special 14-day trial to get up and running fast! Just visit - logianalytics.com/aof
In Ep 50 with Jurgen Faiist, I discussed why we need a new data visualization language. In today’s episode, we return to debate that topic with my good Suisse buddy Raphael Branger who is a Principal Data & Analytics Consultant at IT-Logix in Switzerland. Raphael is an IBCS Certified Consultant (he introduced me to it) as well as a Certified Disciplined Agile Practitioner with more than 18 years of experience in business intelligence and data warehousing. I met Raphael almost a decade when he invited to keynote their epic BI event in Zurich. As one of the most passionate people I’ve met around requirements gathering ‘engineering’ is he calls it, his feedback was instrumental to the ongoing enhancement of our BI Dashboard Formula methodology!
In today’s episode, Raphael gives examples of why a new data viz language is needed and explains the International Business Communication Standards (IBCS) SUCCESS poster and how those standards can help. So much knowledge bombs in this one! Be sure to tune in!
- [03:01] The pros and cons of whether a new data visualization language is needed
- [03:15] - User Expectations: Real-world experiences using the IBCS standards
- [24:45] - How to ease communication between consumer and creator
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/63
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Mike Bugembe is a speaker, consultant, and Amazon best selling author of the book Cracking the Data Code. He joins today’s podcast to talk about the things that you can do that will help create successful analytics projects. After being the head of business intelligence for one of the largest diamond companies in the world, and seeing project struggle or fail, Mike went on a journey to find out why some unicorn companies like Netflix were succeeding in analytics, which traditional companies were not. In today's interview, he discusses the five key traits of a successful project and why 90% of enterprises data are missing most of them. Listen in to hear what Mike has to say about finding use cases for AI, learning how to ask data questions, and the biggest obstacles companies face when trying to unlock the value of their data.
- [03:42] - Cracking the Data Code: 5 Things that successful unicorn companies are doing that you are not for your data projects
- [24:43] - Key Quote: “Around 75% of investments in data fail to see any return on investment.” –Mike Bugembe
- [31:18] - How to offer a skillshare to teammates
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/62
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Are you a BI/Analytics leader who is tired of creating useless reports or dashboards? Are you struggling to get users over to your BI portal? Ever thought about embedding your analytics? If so, then you have to check out Logi Composer, the first ever out of the box development experience for teams who want to get up and running fast! Logi Analytics is offering AoF Listeners a special 14-day trial to get up and running fast! Just visit - logianalytics.com/aof
Lewis Temares is a former Dean at the University of Miami, and though he’s retired now, he still has a lot to say and a lot of knowledge to contribute. As one of the most beloved leaders I’ve ever met, he has managed large and very successful teams in IT. Not only was he my first mentor in the technical industry, but his influence and continual guidance have been instrumental in my career path.
Given recent world events, I brought him on to discuss how techies can stand out at work during unusual circumstances like a pandemic, what advice he’d give to tech leaders, workers, and students, and how to deal with the obstacles that accompany being laid off or furloughed. Tune in to gain some real-world wisdom and practical steps you can take to ensure you are standing out even while working from home!
- [13:17] - Key Quote: I mean, there’s nothing comparable to this, but yes, we’ve seen other occurrences, we’ve seen economic depressions, we’ve seen a lot of things that have been negative and have negative effects on organizations, but nothing to this extent. –Lewis Temares
- [13:53] - Lewis’s perspective on where listeners should be focused right now
- [24:01] - Advice Lewis would give to IT students
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/61
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Why is the business missing in BI? And how can you get the business back into BI? That’s what today’s guest is here to talk about. Cliff Alper is Director of Product Development at Analysis Factory, and in today’s episode, you’ll hear what he has to say about how you can tell if you’re someone who’s missing out on the business part of BI, why it’s so important to ask a lot of questions, and how to talk to end-users.
- [18:40] - What Cliff means when he says that the business is missing from BI
- [30:25] - Advice for BI analytics leaders who struggle with confidence and knowledge
- [40:35] - How to teach BI folks how to notice the unsaid things that happen in meetings
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/60
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Are your subconscious beliefs causing difficulties in your life? Are they holding you back from overcoming challenges that you’re facing? Today’s guest can help you understand how your subconscious beliefs may be holding you back and what you can do about it.
Julie Cairns is the author of the book The Abundance Code. In today’s episode, you’ll hear her talk about dealing with uncertainty, how to shift to an abundance mindset, and the three steps that can help you shift your subconscious beliefs.
- [08:35] User Expectations: How to shift to an abundance mindset
- [10:59] - Coping with the current level of uncertainty
- [30:15] - Three things that you need to do to change subconscious beliefs
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/59
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What do you know about emotional intelligence? Today’s guest is going to answer a lot of questions about emotional intelligence, EQ, when you should have your EQ assessed, and what you should do with that information.
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[01:13] What to expect in Season Five of AoF
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[08:55] User Expectations: What emotional intelligence is and when you should take an emotional intelligence test
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/58
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Register before it sells out again! Our BI Data Storytelling Mastery Accelerator 3-Day Live Workshop new dates are finally available. Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of the workshop, you’ll leave with a clear BI delivery action plan. Register today!
Free Data Storytelling Training
Register before it sells out again! Our BI Data Storytelling Mastery Accelerator 3-Day Live Workshop new dates are finally available. Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of the workshop, you’ll leave with a clear BI delivery action plan. Register today!
In this episode, you'll learn:
- [00:40] Transformational Stories and Lessons Learned: 3 ways to use data storytelling in data science
- [19:50] Storytelling as a means of visualization.
- [26:52] How to think about answering the questions with data storytelling.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/56
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Sponsor
Our episode today is sponsored by Data-Mania! In record time, Winning With Data will lead you to identify the #1 data use case that’s the absolute quickest win for your organization - so you can get on with the process of building and executing your winning data strategy today. https://www.data-mania.com/winning-with-data-case-collections/
In this episode, you'll learn:
- [01:01] Lessons Learned: How to build a business-centric data use framework
- [01:35] User Expectations: What a data strategy is and who should own it (Hint: It’s not who you think)
- [02:10] User Expectations: Why a data use case framework is important and how you can use it
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/55
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In this episode, you'll learn:
- [01:50] Transformational Stories and Lessons Learned: Yves’s 3 things you can do to become irreplaceable.
- [06:39] User Expectations: The importance of making yourself stick in your role during the pandemic and lockdowns.
- [22:47] - How consulting allows Yves to bypass age discrimination.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/54
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Note: Upcoming BI Data Storytelling Mastery Accelerator 3-Day Live Workshops have been canceled due to the COVID-19 crisis. However, 2-Day Online Workshops (Livestream recordings) will be available. Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of the workshop, you’ll leave with a clear BI delivery action plan. Register today!
In this episode, you'll learn:
- [08:07] User Expectations: Why are they important to set?
- [18:05] Key Quote: For me, it was obviously a needed skill set to add. - Brent Warren
- [18:45] Swiss Knife: Unappreciated, underpaid, and non-existent type that rebuilt metrics and reports without help.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/53
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Attend our FREE 'How to be the Chief Data Storyteller in your Org - Part 2 using our Analytics Design Guide' training at webinars.bidatastorytelling.com and download the FREE 50-page Guide!
In this episode, you'll learn:
- [09:08] Key Quote: It’s really changing how we think about management, how we think about working together as a team. - Nick Caldwell
- [19:37] Today’s Topic: Where analytics is today, where it’s going, and a future forecast?
- [21:58] Data Experiences Defined: Moving beyond static dashboards to build experiences that allow anyone in a company to get their job done.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/52
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Attend our FREE 'How to be the Chief Data Storyteller in your Org - Part 2 using our Analytics Design Guide' training at webinars.bidatastorytelling.com and download the FREE 50-page Guide!
In this episode, you'll learn:
- [02:30] Extra Step: Why quality assurance (QA) and substantive storytelling matters.
- [03:16] Key Quote: Data scientists are brilliant, but I see a lot of struggle with how to communicate that brilliance.-Mico Yuk
- [07:50] Kristen and Company: Working together to communicate and transform ML marketing and storytelling.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/51
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In this episode, you'll learn:
- [03:21] New Language, New Book for Reporting: Music to your ears!
- [05:24] Keys to Success: Visual Consistency, Certified Tools, and Management Support.
- [17:55] Hichert’s impact and influence on how dashboards and reports are created.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/50
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In this episode, you'll learn:
- [12:10] Programming Powers: Liza got into tech to be a winner and take things apart.
- [24:45] Why did Liza decide to sign-up for BIDF course? Learn from mistakes made when projects failed.
- [41:28] Step 3 - KPIs: Clearly define and develop skills to capture data metrics.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/49
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Attend our FREE 'How to be the Chief Datastoryteller in your Org - Part 2 using our Analytics Design Guide' training at webinars.bidatastorytelling.com and download the FREE 50-page Guide!
In this episode, you'll learn:
- [02:18] Three key takeaways and five free headlines to get a response from Linkedin recruiters.
- [08:14] Benefits of Lock-down: No distractions, increased productivity.
- [01:09:10] How to prepare for Zoom interviews:
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/48
Enjoyed the Show?
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Attend our FREE 'How to be the Chief Datastoryteller in your Org - Part 2 using our Analytics Design Guide' training at webinars.bidatastorytelling.com and download the FREE 50-page Guide!
In this episode, you'll learn:
- [04:00] Are you literate or illiterate? The terminology is insulting and degrading.
- [09:25] Natural Rebel: Think differently about established ideas to get a new perspective.
- [47:44] “If you want your team to be data literate, the number one thing you can do is communicate with them using data.” Donald Farmer
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/47
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