Podcasts about classification guru

Join Susan Walsh, the Classification Guru, as she defines dirty data, describes how to organize and normalize it, and details the data cleaning process so you can straighten up your spreadsheets and boost ROI.  SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-data-cleaning-fix-dirty-data-and-boost-roi  © 2025, NinjaCat

Susan Walsh, The Classification Guru, joins us to chat about dirty data. Susan sheds light on how unclassified and inaccurate data can lead to significant, often hidden, business expenses and operational disruptions. From supply chain procurement challenges to missed opportunities in data governance, Susan walks us through the common pitfalls and offers actionable tips to help organizations clean up their data efficiently.Panelists: Susan Walsh, The Classification Guru - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Supply Chain Starter KitBetween the Spreadsheets: Classifying and Fixing Dirty Data Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music and Mike Cusic for the for our album artwork.

In this podcast episode, Susan Walsh, known as the Classification Guru, offers a preview of her upcoming workshop, The Dirty Spend Data Clinic, which takes place at the Global Executive Summit on October 7th in Palm Desert, CA.  She delves into the critical role of clean and accurate data in procurement. Susan identifies common issues like duplicate suppliers, incorrect categorizations, typos, and discrepancies in language and unit measurements, all of which can hinder effective procurement processes. She stresses the importance of everyone in the procurement chain, from assistants to CPOs, being aware of and addressing dirty data. Make sure to join Susan Walsh at the Omni Rancho Las Palmas Resort and Spa on October 7th.

How much is dirty data costing your organisation? If inaccurate or incomplete data has obscured your true spending, are you missing out on potential savings in negotiations?   Today, I had the privilege of speaking with the iconic Susan Walsh, Founder of The Classification Guru and fixer of Dirty Data, to explore her innovative approach to the data industry. Susan stands out for her authentic personal brand, built on engaging content and a unique take on marketing, including her memorable lip-sync performances.   Susan shares her journey of rediscovery after stepping away from corporate norms, her insights on tackling 'Dirty Data', and her venture into the world of data following an initial business setback.    Seven years into her business, Susan discovered the challenges of growth, leadership responsibilities, and managing finances in small business life. She emphasises viewing data problems through a human lens and expresses her passion for making her work in the data space enjoyable and impactful. Susan teased her plans to expand her business into product offerings, hinting at exciting developments ahead.   For more information head to https://www.miraitalent.com/   Exploring Data's Impact on Life and Business: Insight, Innovation, and Inspiration for the Curious Mind. Join host Emma Crabtree on 'Let's Talk Data,' where data meets life. Dive into the world reshaped by AI and data, exploring its impact from business, health, wealth to relationships with experts across fields. Discover data's untapped potential in our everyday and professional lives. For anyone from data enthusiasts to the simply curious, this is your hub for light-hearted yet insightful conversations on data-driven innovation. Tune in to 'Let's Talk Data' for your dose of insights and laughs, making the future of data both accessible and engaging.

In this insightful episode of the Data Team Success Podcast, Ross Webb is joined by Susan Walsh, also known as The Classification Guru. With a unique journey into the world of data, Susan shares her expertise on transforming businesses through effective data classification and management. Why Listen? Exclusive Insights: Gain valuable insights from Susan's journey from a career hiccup to becoming a pioneer in data classification. Practical Solutions: Discover practical solutions for tackling the challenges of dirty data and the balance between AI and human insight. Strategic Data Use: Learn about the significance of data accuracy, governance, and the surprising impacts of data quantity on decision-making. Episode Highlights: Introduction to Susan Walsh: Learn about Susan's accidental entry into the data world and her mission with The Classification Guru. The Dirty Secrets Behind Dirty Data: Susan discusses the origins of data issues and the opportunities they present for businesses willing to address them. The Value of Data Classification: Discover how global companies leverage data classification for better spending visibility and supplier management. The Evolving Data Landscape: Insights into how the data world has changed over the last 6 years and why human involvement remains crucial. Garbage In, Garbage Out: A discussion on the critical importance of data quality over quantity and the pitfalls of proceeding with poor data. Making Decisions with Imperfect Data: Strategies for using data to inform decisions, emphasizing the need for quality and strategic insight. Susan's Insights on Data Management: The persistent challenge of ensuring data quality and the importance of human oversight in an AI-driven world. Strategies for overcoming common data management pitfalls, including prioritizing data accuracy and governance. The role of intuition and experience in complementing data-driven decision-making. Closing Thoughts: Susan's journey and insights offer a roadmap for data leaders looking to navigate the complexities of data management and drive business transformation. Her emphasis on the human element in data processes serves as a valuable reminder of the balance required in the tech-heavy landscape of today. Connect with Susan Walsh on LinkedIn to dive deeper into her data classification courses and continue the conversation on effective data management.

This week we're looking at why Procurement suffers from dodgy data - how it affects the function and what we can do to solve it.Rich is joined by Susan Walsh - the Classification Guru and Natasha Brown Group Procurement Director of Harland & Wolff.We cover:0:46 - Why does Procurement suffer from dodgy data?10:53 - What are the key steps in cleansing your data?13:11 - Examples of where poor data has affected procurement decision making15:43 - Importance of being data driven as a core procurement soft skill17:46 - AI vs humans in the next phase of data management21:58 - How do we foster a data driven culture?25:03 - What advice would you give to Procurement teams that are struggling with legacy data?29:56 - How do we influence other parts of the business to get the data we need? 35:43 - The panel's data wishes 39:00 - Data dumping grounds

According to Susan Walsh, “The quality of your data determines the quality of your negotiation.” Procurement professionals need a classification system in place to ensure that they're not relying on dirty data. Your data needs to be consistent, organized, accurate, and trustworthy (COAT). If it isn't, you're likely costing your business money. Susan Walsh—i.e. The Classification Guru—shares the biggest problem with procurement data (and what to do about it) in this throwback episode of Negotiations Ninja. 

Susan Walsh, AKA the The Classification Guru about her advice on how to improve, classify and normalise ‘data data' and why it's so important. “Data is the foundation of everything that you do in procurement, whether that is reviewing contracts, negotiating with supplier or looking for fraud.” In this episode she discusses her C.O.A.T. framework for better quality procurement data, including the importance of normalisation and classification is so important for actionable procurement insights. Normalisation vs Classification Normalisation and classification are both important to extract usable insights from your data. “If you don't normalise your suppliers, you're going to end up with10 versions of PwC, IBM or Dell. As a procurement professional, you just need to know ‘how much did I spend with Dell' you don't need to know the financial and financial or legal entity. “ “Normalising data means is when you go to those companies, whether that be on a global or a regional level, you have more accurate data and potentially more bargaining and leverage to get better prices, better contracts with these suppliers, because you have the right information. If you don't do that you could be missing out on on really good opportunities. You might think you've got a great deal. But your supplier on the other side is laughing because they've got the correct data and they know that you don't have the right data. It's also important to be able to searching for company information such as ESG or Diversity, to make sure that the companies in your supply chain are ethical responsible. If you haven't normalised you might miss out on a company, that's actually a subsidiary of something else. It can be quite tricky, because there's companies like Microsoft, that also own LinkedIn. We would always normalise LinkedIn to LinkedIn, not Microsoft because otherwise inevitably ends up getting classified as software. “ Classification The next area is to arrive at correctly classified data. “Classification can tell you things like the number of suppliers you have per category per country per business unit. It can tell you how much you're spending with them. For example, if you've got suppliers you've spent $50 with, do you need them on your systems at all? Or are they diverse suppliers and you need them there for a reason? The only way you'll know that is if you have the suppliers classification as detailed as possible. You need to have a good taxonomy”

This week on S4 E74, my guest is my colleague - the self-proclaimed "Classification Guru" - Susan Walsh. She's from "across the pond" and is uber cheeky on LinkedIn while getting her point across (think: lip-syncing, boas and cardboard cut outs..!) One aspect of Data Integrity we both agreed on is that no matter what the industry, "dirty data" must be addressed to minimize numerous impacts downstream.  Susan takes us thru her handy acronym C.O.A.T. which serves as a checklist to keep in mind when it comes to ultimately building trust around the use of your data. So do listen out for those elements she shares.!!   And Susan shares tips on how you can clean your data using scrappy basic Excel as your tool...and she shares the higher-end tool her team uses to clean data. Her team has cleaned and classified data for many large organizations we've heard of -- but she can't share with us...! Susan's non-profit organization shout-out goes to the Royal National Lifeboat Institute (www.RNLI.org) which is at the ready to provide safety & assistance 24/7 in the event of peril at sea. Susan's an original and savvy businesswoman. Thanks again, Susan! #mycuriouscolleague #CPGCX #theclassificationguru #customerservice

Welcome back to the Procuretech podcast! We're continuing our  third series of interviews with industry experts and thought leaders.  Today we're talking to someone with a unique niche perspective, to hear their thoughts on all things digital procurement.   Why Data is the Bedrock of Digital - Susan Walsh is The Classification Guru My guest needs absolutely no introduction to most of you: Susan Walls, the classification, Guru herself. Susan was one of our first guests in series one, all the way back in April 2020. A lot has changed in the world since then, but before we dive into that, let's get a quick reminder of Susan's background.   Susan Walsh – A brief background on the Classification Guru Susan has been running The Classification Guru for just over five years now. She started working for a spend analytics company, before deciding to go it alone. Susan thought there must be companies out there who just want their data classified and normalised, without the analytics part. And she was right. Spend analytics is being increasingly brought in-house – most departments have some kind of analyst now. But people still struggle with classification. That's where Susan comes in, bringing a human touch and years of experience to classification. The Classification Guru can help with things like supplier cleansing for PT implementations and CRM systems. Susan is also currently working on an exciting project outside of the procurement space for retail category management. Basically, if you've got a data problem, Susan can help with it. Because Susan's service isn't a tech solution, it's not the sort of thing we'd usually cover here on procurementsoftware.site. But Susan's niche is a really interesting perspective from which to view procurement. So how has her business been impacted by the rise of procurement technology over the last few years?   The impact of procurement and technology Susan thinks that the expansion of procurement tech has helped her business. There are so many solutions saying “buy our software, it'll fix your data”. But the reality is, you have to clean that data before a tool can do anything with it. People are realising the importance of data, but at the same time they don't have the know how to manage it. They don't fully understand the tools they're using. There's an assumption that this process will be 100% automated, but that's often not the case. It's so important to get it right, and clean the data before you automate it. There are hybrid solutions out there. These either offer consultancy alongside automation, but are usually more focused on enterprise level complex material master data more than vendor master data. There are also solutions that use AI to scrape, clean and sort the data - Tealbook and Scoutbee for example. But they're not classifying data, they're essentially just supplier discovery platforms that can help to categorise data as part of that offering. But where's that data coming from? How do you know it's valid? Is there a human behind it? You should always have someone who knows the industry double check data. Verify whatever you're buying in with what you know, just to make sure it's right. Automation can be successful and accurate when you focus on a specific area. But if you're buying a tool that tries to cover every single industry in the world, it's not going to hit the mark as well, because it's trying to be everything to everyone.   Bigger data, bigger problem Generally, the bigger the organisation, the bigger the dirty data problem. Because they've grown through acquisition, big companies often have multiple ERP systems. That can very easily lead to a real tangle of complicated data. But mid market businesses also have an issue here. Their data is not going to be as dirty as an enterprise company that's grown through acquisition over the years, but a smaller company might not...

Observability allows businesses to measure the internal state of a system by assessing its output. Credited with improving the performance of distributed IT systems, observability uses metrics, logs and traces to allow teams to get to the root cause of an issue. In this episode of the EM360 Podcast, Analyst Susan Walsh, Founder and MD of The Classification Guru speaks to Martin Mao, Co-Founder and CEO at Chronosphere, to explore: Observability and its history Adopting observability when becoming cloud-native Use cases

In this week's episode of the Business of Data podcast, host Catherine King talks with Founder and Managing Director of data quality consultancy The Classification Guru about her personal journey into the data and analytics industry, and how she found her calling as a 'fixer of dirty data'. In the discussion this week: The importance of fun in data culture Walsh's personal journey into the data and analytics industry The dangers of 'dirty data' and how to avoid them

Susan Walsh, The Classification Guru, joins us to talk about the importance of clean data, getting started with data classification, and her book "Between the Spreadsheets." Get her book today: Download on Amazon

Digital twins are virtual models designed to accurately reflect a physical object or process. The real-world applications of this are endless - from city planning to construction and decoration, digital twins can help you visualise concepts within spaces with ease. When it comes to processes a digital twin can represent measurements of flows that are difficult to show such as wind direction, or temperature of flows within pipes. What's more, the twinned object can be outfitted with sensors and produce performance data that can be applied to the digital copy. This offers a valuable insight into how the physical object will perform in real life. How do digital twins relate to spatial data? In the second episode of a three-part EM360 Podcast with Safe Software, President Don Murray speaks to Susan Walsh, Founder and MD of The Classification Guru, about: Digital twins and the evolution of spatial data What expertise and requirements are needed to create a digital twin The potential that lies in digital twins for the future and how they can move society forward

Digital twins are virtual models designed to accurately reflect a physical object or process. The real-world applications of this are endless - from city planning to construction and decoration, digital twins can help you visualise concepts within spaces with ease. When it comes to processes a digital twin can represent measurements of flows that are difficult to show such as wind direction, or temperature of flows within pipes. What's more, the twinned object can be outfitted with sensors and produce performance data that can be applied to the digital copy. This offers a valuable insight into how the physical object will perform in real life. How do digital twins relate to spatial data? In the second episode of a three-part EM360 Podcast with Safe Software, President Don Murray speaks to Susan Walsh, Founder and MD of The Classification Guru, about: Digital twins and the evolution of spatial data What expertise and requirements are needed to create a digital twin The potential that lies in digital twins for the future and how they can move society forward

Akshay Toshniwal speaks with Susan Walsh from The Classification Guru Ltd about Data Science careers, challenges, and more. About AI Time Journal: Sign up for AI Time Journal's weekly newsletter: https://www.aitimejournal.com/subscribe/ Visit the AI Time Journal WEBSITE: https://www.aitimejournal.com/ Follow AI Time Journal on LINKEDIN: https://www.linkedin.com/company/ai-time-journal/ Follow AI Time Journal on TWITTER: https://twitter.com/AITimeJournal/ Follow AI Time Journal on FACEBOOK: https://www.facebook.com/aitimejournal/ Download the podcasts on all your favorite platforms: https://anchor.fm/aitimejournal Do you want to be interviewed by AI Time Journal? Get in touch with us at https://www.aitimejournal.com/interview-inquiries.

This week, Karen is joined by Susan Walsh, The Classification Guru. In a field that gets excited by buzzwords, Susan used her sparkling personality to increase her visibility and make data cleansing fun. In this episode, she talks about how being authentic and visible helped her grow her business, along with the impact it has on the upcoming generation of data professionals. An extrovert by nature, she recognises that increasing visibility comes as a challenge to introverts and provides tips for them to do so without feeling uncomfortable. You will hear about how she keeps her content authentic despite the fear of judgment and negative experiences, as well as how the shift to in-house data analytics made organisations more aware of the challenges related to data quality, providing her with a space to start a business in the field. Enjoy!   *********************** Show notes: *********************** Susan's LinkedIn: https://www.linkedin.com/in/susanewalsh/

Are you struggling to get reliable insights from your data? Do you have duplicates, multiple versions of the same supplier or customer, and multiple date and address formats? And is it saved in multiple different systems? The Classification Guru can help. We have the absolute privilege to listen to her insights to make you an even better data user to find fraud. Show Notes:https://www.linkedin.com/in/susanewalsh/https://www.theclassificationguru.com/https://twitter.com/ClassificationGhttps://www.theclassificationguru.com/our-services/coat/https://www.theclassificationguru.com/videos/https://www.oliverburkeman.com/https://pnklr.co/3MjaIx5 Hidden Brain

The data-driven revolution has enabled brands to achieve true customer centricity — but only if they have the right data analysis and experience orchestration capabilities. Whether creating a single customer view, generating predictive insights, or orchestrating seamless omnichannel experiences, organisations must work to make sure their customer data is accurate, accessible, and actionable. The data-driven revolution is transforming the customer experience Hosting this episode of the EM360 Podcast is Susan Walsh, Founder, and MD of The Classification Guru. Joining her is the Head of Martech Strategy at ActionIQ, James Meyers, who will be sharing his insight on the data-driven revolution and its growing impact on the customer journey and customer experience (CX) as a whole. With an ever-growing number of competitors entering the market, it's vital for businesses to grow and retain their customer relationships by ensuring they have a polished, data-driven CX strategy. Tune in to learn about: Why siloed data continues to be one of the biggest pain points, for organisations looking to create seamless CX The types of valuable insights marketers can obtain if their company's data is de-siloed Use cases of customer data platforms and how they're helping to power CX strategies today Decisions organisations face when choosing between building a CPD in-house or licensing from a vendor

Advanced analytics is the next step for organisations that want to be at the cutting edge of data analysis. For decades, organisations have been generating reports, primarily documenting 'What happened?' or 'What is happening?'. Essentially, it was once solely about descriptive analytics reporting, until some decided to take it to the next level with diagnostic analytics - i.e. looking at why things happen. Fast forward to more recent years and the evolution of technologies like data lake and warehouse have led to explosive growth in data volume, velocity, and variety and increased the demand for organisations to garner greater insights from data. This is how advanced analytics was born. Advanced analytics: the next stage in data evolution On this podcast, Susan Walsh, Founder and MD of The Classification Guru, joins Jack Lambert, Technical Partnerships Manager at Jaguar TCS Racing. and Mark Whalley, Manager at Vertica. The trio of data experts shed light on the use cases of advanced analytics through the lens of Vertica's technology partnership with Jaguar TCS Racing. From looking at the current state of the industry to analysing the technical implementation of software into an organisation, you can expect a deep dive into the advanced analytics methods and tools driving the future of data. Discover: How Vertica is using advanced analytics to help businesses accelerate their data analysis The birth, journey, and growth of the technology partnership between Vertica and Jaguar TCS Racing Top tips on how to implement advanced analytics

Analytical data is the beating heart of enterprise. It's the critical information we collect to improve customer relations, make better business decisions, and find growth opportunities. But to get it business-ready requires careful consideration and preparation for the right analytics solution. Where There's Data, There's Growth and Profitability In this podcast, Susan Walsh, Founder and MD of The Classification Guru, walks through the practice of transforming business data through analytics with Glen Rabie, CEO at Yellowfin, and Dan Schafer, Senior Database Administrator at Rocknel. Learn from the experts how to simplify complex data and transform spreadsheet data for better business use, ways to approach different data sets more effectively, and how to tackle user-adoption problems head-on. Key Learnings: What organisations should pay most attention to when selecting a data analytics tool, especially from an implementation perspective The importance of supporting an organisation after an analysis tool has been implemented Want to find out more about Yellowfin's approach to transforming business through data? Click here!

Data sharing plays a vital role in ensuring organisations can generate insights, manage risk, and understand their customers. It can, however, be a highly complex and labour-intensive endeavour, with differing regulations across jurisdictions around how financial organisations review, approve and track data sharing activities. In this podcast, Susan Walsh, Founder and MD of The Classification Guru, speaks with Kate Platonova, Group CDO at HSBC, and Lorraine Waters, CDO at Solidatus, about how HSBC is modernising data sharing with their DataVisa initiative. Kate and Lorraine explore the history of data sharing and how HSBC and Solidatus are revolutionising the industry from a digital transformation, ROI, and automation perspective. The two also lend their expert advice on what organisations need to consider when allowing legal experts access to information in a single repository.

The data-driven revolution has enabled brands to achieve true customer centricity — but only if they have the right data analysis and experience orchestration capabilities.  Whether creating a single customer view, generating predictive insights, or orchestrating seamless omnichannel experiences, organisations must work to make sure their customer data is accurate, accessible, and actionable. Hosting this episode of the EM360 Podcast is Susan Walsh, Founder, and MD of The Classification Guru. Joining her is the Head of Martech Strategy at ActionIQ, James Meyers, who will be sharing his insight on the data-driven revolution and its growing impact on the customer journey and customer experience (CX) as a whole. With an ever-growing number of competitors entering the market, it's vital for businesses to grow and retain their customer relationships by ensuring they have a polished, data-driven CX strategy. Tune in to learn about: Why siloed data continues to be one of the biggest pain points, for organisations looking to create seamless CX The types of valuable insights marketers can obtain if their company's data is de-siloed Use cases of customer data platforms and how they're helping to power CX strategies today Decisions organisations face when choosing between building a CPD in-house or licensing from a vendor

This week on Data Bytes, Susan Walsh discusses data governance. What is it, how can you make sure your data governance strategy stays up to date and who is responsible for maintenance. She not only shares her data insights but also her tips on being yourself on social media. With over 26,000 followers on LinkedIn, Susan knows how to present herself in a positive and professional way. About Susan Walsh Susan is Founder and Managing Director of The Classification Guru ltd - a specialist data classification, taxonomy customization and data cleansing consultancy. She is an industry thought leader, TEDx speaker and author. Susan has more than a decade of industry experience and used her platform to educate others on all things data. Susan is passionate about helping you find the value in cleaning your ‘dirty data' and raises awareness of the consequences of ignoring issues through her blogs, vlogs, webinars and speaking engagements. Overview Susan takes us through way all data governances don't last or stay up to date. She shares her advice on keeping data up to date. There is a great cost benefit from having a good data governance practice. Susan also gives insight to another area she is passionate about - Social Media. She talks about putting yourself out there and experiences she has overcome through the pushback she has received. Looking to start sharing more on social media? Susan has you covered, she shares her best tips! Social Handles Linkedin https://www.linkedin.com/in/susanewalsh/ Facebook https://www.facebook.com/TheClassificationGuru Instagram https://www.instagram.com/classificationg/ Twitter https://twitter.com/ClassificationG YouTube https://www.youtube.com/channel/UCfrWRbL-zeEZsHwjYhj3v_A Website www.theclassificationguru.com Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://anchor.fm/women-in-data/support

Our today's guest is Susan Walsh, the Classification Guru, the Founder and Managing Director of The Classification Guru Ltd, and the author of "Between the Spreadsheets: Classifying and Fixing Dirty Data." In this episode we address: Tips on fixing dirty data; The perfect date format; Normalization, standardization, and taxonomies; Procurement and spend data; Mixing fruits with savory; What is dirty data and how can you fix it? You're expected to cleanse data, but very few are trained on how to do it so here are some tips to get you started.

February 1, 2022 Buffalo State Data Talk Episode 15: Data Cleaning and Classification an interview with Susan Walsh Founder and Managing Director of The Classification Guru   In this episode Susan Walsh, the Managing Director of The Classification Guru, talks about how her company specializes in cleaning and classifying data for their clients. Susan shares how she works to make data fun and relatable through her company and her LinkedIn presence.    0:00 Intro  0:36 What Susan's company does   2:50 A week in the life of Susan Walsh  4:11 The data and what needs to be cleaned  8:16 Susan's book Between the Spreadsheets  10:01 Benefits from cleaning your data  10:49 Susan's favorite part of her job  11:34 Growing her business on LinkedIn  15:55 Susan's advice for new data scientists  17:57 Does your data have a COAT?  18:52 Outro    Resources Follow Susan on LinkedIn   Buy Susan's Book Between the Spreadsheets   Learn more about data science and stay up to date with the podcast by connecting with us on LinkedIn. https://www.linkedin.com/school/buffa... Interested in a career in data science? Visit https://dataanalytics.buffalostate.edu/ to learn more.

Data is an unbelievable asset, but needs to be cleaned, or it is useless. In this episode, we hear from Susan Walsh, The Classification Guru, on how she runs a data cleaning business. We learn what data cleaning is, how it's useful, and what's important to have structured data. Enjoy! Enter The Twelve Days of Data Christmas Giveaway: https://www.datacareerjumpstart.com///giveaway Connect with Susan Walsh: https://www.linkedin.com/in/susanewalsh/ Between the Spreadsheets Book: https://www.facetpublishing.co.uk/page/detail/between-the-spreadsheets/?k=9781783305032 --- Send in a voice message: https://anchor.fm/datacareerpodcast/message Support this podcast: https://anchor.fm/datacareerpodcast/support

If you're selling something niche, how do you find customers? You need to stand out and really create a demand for it. Susan Walsh's business is on data quality and most people don't even know what that is. Susan is the founder of The Classification Guru and she is a specialist in spend data classification. Learn from the Mistress of Data herself on how she created demand through speaking. Elizabeth Bachman gets Susan on the show to share how she thrives in a niche industry. Find out if you're spending the right amount for something, no matter where you bought it. Discover the Coat system and how Susan uses that when it comes to data management. Learn all of that and more today!

In this episode of the AI Time Journal Podcast, Melissa Drew speaks with Susan Walsh, Founder of The Classification Guru about where humans fit into the subjective nature of Data Classification. ---- Susan Walsh, Founder of The Classification Guru The Classification Guru Melissa Drew, Associate Editor at AI Time Journal Our website --- Sponsor our podcast! With options of sponsoring your own podcast interview or multiple episodes with your 30-second ad featured pre, mid, and post-roll throughout your sponsored episode(s), this is a great opportunity to invite listeners to explore your company and brand. To learn more, please visit https://store.aitimejournal.com --- Do you want to be interviewed by AI Time Journal? Complete the Interview Inquiry Form and we will contact you if you are a good fit!

Susan Walsh joins us to discuss the importance of data cleaning and normalization and how clean procurement data can save companies money. In this episode you will learn: • Susan's “COAT” system [7:16] • The Classification Guru [15:39] • Case studies [22:46] • Susan's book [30:26] Additional materials: www.superdatascience.com/487

In today's episode of Women In Supply Chain, I'm joined by Susan Walsh: the self-confessed Mistress of Data who uses her expertise in spend data classification, supplier normalisation, and taxonomy customisation to help procurement and data teams across the industry to work more effectively. After working in sales and customer account management for big names like Philips and Colgate Palmolive, Susan discovered a passion, and talent, for data. And, having held management positions in various companies, she eventually decided to go it alone. Susan founded The Classification Guru in 2017 and now brings clarity and accuracy to data and procurement; helping teams work more effectively and efficiently by cleaning up their dirty data. Today Susan will be talking to us about her career so far, her passion for data, how the industry's approach to data has changed over the years; and she'll be sharing her words of advice for all of the up and coming women following in her footsteps. SHOW SPONSOR: Apex Logistics are proud to sponsor Let's Talk Supply Chain's Women in Supply Chain podcast and blog series. Our leadership team actively works to empower an industry as diverse as our workforce with a focus on inclusion, and we're passionate about promoting the voices of women leaders to drive visibility around their achievements. Find out more over on the Apex Logistics website. IN THIS EPISODE WE DISCUSS: [07.42] Susan's background, and the varied career history that led her to her passion. “I'm envious of those people who've always known what they wanted to do, because I've never known.” [16.49] The ups and downs of growing The Classification Guru over the last four years. [21.00] The role of digital marketing in Susan's success. “Work with what you're comfortable with… and don't do what you think other people want you to do or say or be – just be yourself.” [25.47] Why Susan's positive approach and free spirit was sometimes at odds with male-oriented work environments. “I've never felt, even growing up, that there wasn't anything I couldn't do, or that I was restricted because of who I am.” [29.28] The turning point in Susan's career that helped her find her voice. “When I found what I really loved, and I had the self-belief and self-confidence, then I felt ‘you can't take me down, I know I'm good.' ” [32.31] The pitfalls of managing data, and why you need to make sure data always has its COAT on. “There's a massive misconception that you can buy some off the shelf software that will fix all of your data problems and you don't have to do a thing… Automation can help to a point, but it would be naïve to think it can solve all your problems.” [38.50] What Susan has learned about herself over the course of her journey so far. [40.30] Susan's words of advice for the girls and women looking to follow in her footsteps. RESOURCES AND LINKS MENTIONED: You can connect with Susan over on LinkedIn; head over to The Classification Guru's website or follow them on Twitter or Instagram to find out more. Check out our other podcasts HERE.

''Make sure the data has its coat on!'' Susan's idiom is all about data maintenance and highlights the importance of continued data quality management; to make sure it's always consistent, organized, accurate, and trustworthy. In this episode of our The Data Heroes Podcast, Susan Walsh (Founder at The Classification Guru Ltd) gives tips about getting on top of your data issues through normalization, deduplication, segmentation, and categorization.“Ultimately, I want them to take back responsibility and ownership of their data and manage it.” Susan talks about client challenges faced and how she trains teams to develop database health strategies to ensure data is always as actionable as possible. Susan discusses supplier normalization, taxonomy development, and her upcoming book ‘Between the Spreadsheets: Classifying and Fixing Dirty Data'.“If you've never classified data in your life, you could pick it up, read it and follow the instructions in it and classify data!”

Now—more than ever—data is becoming a focus in the procurement and supply chain industry. The global pandemic led to every business tightening their spending and attempting to track every penny and every piece of data. That's where Susan Walsh i.e. The Classification Guru steps in. We've never had anyone on this show that specializes in data like Susan Walsh. Listen to this episode of The Sourcing Hero to hear why a focus on data is so important.

Susan Walsh - The Classification Guru (DATAcated Conference Feb 2021) - Dirty Data --- Support this podcast: https://anchor.fm/datacated/support

Susan Walsh joined us in the Habitz Podcast studio and was talking all things data classification. A lot of businesses don't realise the importance of keeping data clean until it's really far gone and expensive to fix. Businesses waste so much money from paying attention to the details in their data. You could be spending huge amounts more with any supplier just because you're not logging it properly. Then you need to pay even more for people like Susan to come in and classify it for you, when you could have had her there from the beginning and the job would have been way smaller.

Data Scientists are in demand and that's why becoming a data scientist is also in demand. Though many times what people have in mind when they think of becoming a data scientist is working at a company, with a boss. This doesn't have to be the case for everyone though. Ways you can do data science and in general, careers in data are too many to count. If you're really passionate about what you're doing and you value freedom above all else, like Susan, you might even start your own business and become your own boss. Susan, also known as, The Classification Guru started her business after she realised that there is a gap in the market for people who would tidy up your data for you and make it ready for analysis. And now, her business is flourishing. She gets to work with fun use cases, have fun making marketing content for her work and make money on top of it. In this episode we talk about her journey building her business, how she came up with an idea, what kind of services she offers to her clients, how she likes her job and many more things! Tune in to learn more about the possibility of starting your own business and to get some inspiration! The Classification Guru website - https://www.theclassificationguru.com/ The Classification Guru YouTube channel - https://www.youtube.com/channel/UCfrWRbL-zeEZsHwjYhj3v_A/videos --- Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course

Susan Walsh is the fixer of dirty data, an expert in spend data classification, taxonomies, and data accuracy. In addition to all of this, Susan improves your Procurement Data to create savings both financially and in time. Susan is the Founder of The Classification Guru, an Organisation that takes the pain out of data issues to make your life easier. In this episode we cover: How COVID has affected Corporate Culture Changes in behaviours with Managers and Staff Why Meeting Culture needs to shift Saying No, more Our Views on Thinkers 360 as a Platform and how Susan is being recognised an Industry Leader The COAT Acronym Origin Story Don't google Dirty Susan How to use COAT for your Data The Story of 840 spreadsheets that needed to be merged Practical Steps to get basic Data Management in place with Excel in Procurement Excel horror stories for Data Management You can find Susan Walsh here: LinkedIn - Personal - https://www.linkedin.com/in/susanewalsh/ LinkedIn - The Classification Guru - https://www.linkedin.com/company/theclassificationguru/ The Classification Guru - https://www.theclassificationguru.com

“Get it right now and you're saving yourself some more time down the line.” Susan Walsh Classification Guru set up her own company three years ago when she left her job in data classification, and wasn't sure where to turn next. Her confidence and ability to classify spend data for businesses solidified her decision to start up on her own. In episode 15 of Talent Talks, Martin and Susan Walsh dive deep into the meaning of spend data and classification, as well as winding back to last weeks' topic of personal branding, which Susan has worked on a lot over the last year… this includes talk of her love of pyjamas and pink. This Episode of Talent Talks covers: The definition of Spend Data Money saving in monitoring and data entryFuture of the procurement industryUnderestimating procurement as a skill Importance of data qualityGet in touch: martin@talentdrive.co.uk

Susan Walsh is the fixer of dirty data, an expert in spend data classification, taxonomies, and data accuracy. In addition to all of this, Susan improves your Procurement Data to create savings both financially and in time. Susan is the Founder of The Classification Guru, an Organisation that takes the pain out of data issues to make your life easier. In this episode, Susan gives a deep dive into Procurement Data, why most Businesses have issues with their data and some practical steps to improve your data. Susan is super passionate about Data and provides so much value that you can implement within your World of Procurement to start seeing results immediately. Make sure you take a screenshot when you're listening to the show, post it on LinkedIn and tag @World of Procurement so show you some love. You can find Susan Walsh here: LinkedIn - Personal - https://www.linkedin.com/in/susanewalsh/ LinkedIn - The Classification Guru - https://www.linkedin.com/company/theclassificationguru/ The Classification Guru - https://www.theclassificationguru.com

Susan Walsh is The Classification Guru, bringing you affordable solutions to clean up your data before undertaking any digital transformation project. Dirty data is the scourge of most organisations, both large and small. We discuss the approach, the root causes of poor data, what to do about it, and how maintaining key data is the key. Doing it once and then washing your hands of the problem is a recipe for disaster! Fixing your Dirty Data - Get your data classified, so you can deliver savings opportunities or commence your digital transformation 2:05 Susan's story of how she became a data specialist, from quite an unconventional work experience history! 6:45 Why starting with the basics and making data FUN is core to Susan's approach to data. 7:25 Where to get started if you're a complete beginner to the topic of cleaning your data. A "Data 101" of how to get the basics in place and what the best first steps to take should be. 9:20 Consistency is key - the first rule of data classification. Using a master taxonomy that sits above any local level data classification. 10:12 The first step: Supplier normalisation (vendor master harmonisation) to remove duplicate records of the same vendor. 11:31 Once vendor records have been harmonised, Susan then explains how the next steps are really dependent upon the client's setup and to what level of detail they wish to categorise their data. 13:32 What is the recommended programme for ongoing follow-up and data cleansing reviews? We dig in to how much ongoing maintenance is necessary, depending on the specifics of each case. 15:49 Proactive roles which can be playes to ensure data governance is given the necessary importance in roles and responsibilities throughout teams. 18:58 Susan gives her best answer to anyone facing the conundrum of how to put together a business case for senior leaders to sign off on the costs of a data cleansing initiative. 20:58 The opportunity cost question: Is it more cost effective to do this in-house? Why would you task your category managers or procurement analysts with this, when it's not their core job? 22:30 Ownership of data (or lack of!) Why this conundrum scuppers most organisations, and what can be done to change this. Where should data ownership sit, especially in a larger organisation? 24:29 The role that a Chief Data Officer could play in future, and how this could disarm some of the politics of "who's data is this anyway"? Useful Links: https://artofprocurement.com/episode301/ (Art of Procurement Episode 301) How to connect with Susan: https://www.theclassificationguru.com/ (The Classification Guru website) https://www.linkedin.com/in/susanewalsh (Susan's LinkedIn profile) How to connect with James: https://jamesmeadsconsulting.com/ (James Meads Consulting website) https://linkedin.com/in/james-meads/ (James' LinkedIn profile) https://bookme.name/jamesmeads/lite/initial-consultation (Book a Call with James) https://linkedin.com/showcase/procuretechpodcast (Follow The Procuretech Podcast on LinkedIn)