Claim OwnershipDriven by Data: The Podcast
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Description
Orbition Group is delighted to bring you this podcast series, which is designed for Data Enthusiasts, to hear from some of the most high-profile Data, Analytics and AI thought leaders from around the globe.
Each episode will detail the guests journey to the top while bringing unique insights, drawn from first-hand experience on the industry’s most trending topics.
This podcast was created as a way for our industry's most respected leadership figures from across the world to give back to the Data & Analytics community, by sharing; knowledge, experiences and ideas, to inspire, innovate and provide real-life use cases on the industries most pressing topics/challenges.
Each episode will detail the guests journey to the top while bringing unique insights, drawn from first-hand experience on the industry’s most trending topics.
This podcast was created as a way for our industry's most respected leadership figures from across the world to give back to the Data & Analytics community, by sharing; knowledge, experiences and ideas, to inspire, innovate and provide real-life use cases on the industries most pressing topics/challenges.
247 Episodes
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Why a Podcast?
In Episode 1 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Ed Child, Head of Enterprise Data at Studio Retail, where they discuss how Experimentation has added value to the businesses he has worked, while developing his team in the process.Ed provides some really great insight and tangible advice on how organisations can benefit from adopting an experimentation culture, which includes:Why having a growth mindset is a mustHow to empower your team to be creativeWhy it aids the teams development and performanceHow to execute within controlled parametersThe investment requiredHow to structure for best resultsImpact on engagement scoresThe business value
In Episode 2 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Rachel Pillsbury, Head of Insight at Riviera Travel, where they discuss how she has built, best in class analytics teams.Fresh off the back of her triumph at the 'Data IQ Awards' where she collected the award for 'Data Analytics Team of the Year', Rachel provides fantastic insight and tangible advice into the key considerations of how to build great Data & Analytics teams, which includes:How she built the team from scratchWhy (she thinks) they won the awardThe importance of ExperimentationHow to build a well-rounded analytics teamAcquiring talent in a remote locationSourcing talent from within & when to go externalUpskilling internal talentThe importance of your degreeWhy our education system is creating a problemAlternative areas of study to exploreWhy you shouldn't focus solely on knowledge-based skillsWhat skills are often overlooked?The business value
In Episode 3 of Driven by Data: The Podcast, Kyle Winterbottom is joined by James Miller, Head of Data, Analytics & Insight at Intu, where they discuss how to build a Data Strategy in a (Data) greenfield environment.Having found himself leading various Data & Analytics capabilities in greenfield data environments over the years, James provides some really great insight and tangible advice on how to design and deliver on a data strategy, which includes:How to get a seat at the top tableWhy the business strategy must come firstThe need to be a salespersonWhy a data strategy is about actionHow to focus on culture & literacyWhy you need a multidisciplinary teamHow to utilise Data GovernanceThe key things to avoidWhat makes a good 'data pioneer'
In Episode 4 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Kate Sargent, Director of Data & Insight at Collinson, where they discuss how to maximise value by combining research and analytics.Having had success by combining the two throughout her career, Kate was able to provide great insight into the key considerations of merging these two capabilities, which includes:The purpose of a research teamHow it aids the wider Data & Analytics capabilityWhy they are often housed separatelyHow to identifying the gap (between what customers do & what they say they do & why)The potential of leveraging these two disciplines 'under one roof'The common challenges of using this hybrid modelThe specific opportunities to add valueWhere to begin
In Episode 5 of Driven by Data: The Podcast, Kyle Winterbottom is joined by (Best Selling Author) John Thompson, Global Head of Advanced Analytics & Artificial Intelligence at CSL Behring, where they discuss the competitive advantage that businesses who have adopted Data & Analytics have and how they are leaving their competitors behind.Having worked on both sides of the pond, and wrote two best selling books, John articulates how to get the most of Data & Analytics within your organisation, which includes:The realistic cost/investment required to get it right, first timeThe timescales to see genuine business valueHow to manage stakeholders to ensure action is takenWhy analytics professionals are fundamentally differentHow to manage high-performance analytics teams/peopleWays to test if you're organisation is ready to adoptWhy it's difficult to move analytical models and applications from development into productionWhether speed of adoption determines successIf there is such thing as first mover advantageWhy he decided to write his booksIf you're interested in purchasing John's books then please use these links:Building Analytics Teams - https://www.amazon.com/Building-Analytics-Teams-intelligence-improvement/dp/1800203160/ref=cm_cr_arp_d_product_top?ie=UTF8Analytics: How to win with Intelligence – https://www.amazon.com/Analytics-How-Intelligence-John-Thompson/dp/1634622375/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=
In Episode 6 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Helen Tanner, Founder and CEO of Data Cubed, where they discuss how organisations can get to the eternal, single source of truth. Having helped numerous organisations to establish a single source/view of their reality, Helen takes us through how she guides her clients to get there and some of the common challenges/findings she uncovers, which includes: Why it's become the "holy grail"What the key benefits of obtaining it areThe obstacles/challenges in getting thereWhat the process of establishing it looks like How much investment is required The timescales to do so Why most executives have misconceptions about their businessHow to overcome those difficult conversations Why it's nice to be bale to tell executives things they don't know about their business
In Episode 7 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Oguzhan Gencoglu, Head of AI at Top Data Science, (a Data Science Consultancy that is ranked as one of the best Artificial Intelligence consultancies in Finland) where they talk about how to go beyond the proof of concept cycle with Artificial Intelligence. Oguzhan has given over 40 "talks" on the subject of AI, has numerous publications and has delivered over 60 AI solutions into production, and he shared the key considerations of productionising AI, which includes:How FOMO is a driver behind many AI projectsThe importance of how data is collected How to check the pulse of commitment within the businessWhy "top down" commitment is key How the cost implications are more than just the implementation costWhy POC failure is a good thing How to build a production level solution even in a disparate environmentWhy most POC's are successful but rarely make it to production Why you need more than just Data Scientists & ML EngineersHow mindset and culture determine success
In Episode 8 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Caroline Carruthers, CEO of Carruthers and Jackson, where they discuss the key components of a successful Data Transformation.Caroline shares how she helps organisations to transform to be "data enabled" which includes:Why taking the first step is the hardestHow the focus should be on our people and literacyWhy "looking in the mirror" is so importantHow to find the balance between "the foundations" and the "sexy stuff"The need to define what value means to your organisationHow to fix the wrong behavioursThe importance of starting with the purposeThe power of curiosityHow "what's in it for them" is the all important questionWhy most data strategies focus on technology and governanceThe importance of celebrating successWhy the 2nd edition the CDO Playbook
In Episode 9 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Alex Golbin, Chief Data Officer at Morningstar, where they discuss how to maximise value by connecting Data & Analytics to a business.Having worked for a number of high-profile financial institutions including Lehman Brother, BlackRock and now Morningstar, Alex articulates the key components of how a CDO connects an organisations Data & Analytics initiative to the core business, which includes:Why you always to start with your "clients"How everyone that comes into contact with your data is a "client"The importance of defining "moments that matter"Why a CDO function is an internal service providerWhy data should "tell the truth" and "predict the future"How to define Defence V OffenseHow to connect disparate data to tell a storyWhy data should be available, discoverable and trustedHow to create zones of readiness for data discoveryWhy data quality isn't always about accuracyThe importance of creating data quality dimensions/taxonomiesWhy creating business partnerships is the key to being a great CDO
In Episode 10 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Lisa Allen, Head of Data & Analytical Services at Ordnance Survey, where they discuss how to execute upon the data strategy once it's been formulated. Lisa gives us a fantastic insight into the process she has followed in relation to executing a data strategy and some of the key considerations, which includes:Why having a plan is so important How to implement your data principles against your data strategyWhy your data needs to be trustable, accessible and useableHow to make it as easy as possible for people to "do the right thing" Why people are key to executing on the strategy The framework of; Data, Process/Policy, People and TechnologyWhy our people should be the last line of defence not the first Achieving a balance between control and innovation How to prioritise where to start Identifying what good looks like and a process to do soWhy it's imperative to show progress quickly The major challenges that you'll face How to obtain buy-in
In Episode 11 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Andrew Jones, Founder of Data Science Infinity, where they discuss how to be successful with Data Science. Andrew comes from a non-technical background but established himself as a very credible Data Scientist, eventually taking leadership roles at organisations such as Amazon and Sony where he was responsible for building Data Science teams. In this episode, Andrew outlines the key considerations of success for both Data Scientists and organisations that are on that Data Science journey, which includes:Why he started Data Science InfinityThe disconnect between DS courses and the needs of the real worldWhat skills you need as Data Scientist to land a great job Why the tech you use is somewhat irrelevant How the real art is learning how to problem solve The importance of being able to translate & story tellWhat differentiates a good data scientist and great data scientist Why nobody will pay you JUST to code and build ML models The “Grey Area” between Data Engineering and Data Science What organisations should expect of Data Science Why having a minimal viable product is great to manage expectations Why you’ll never attract the best talent by advertising solely on technical skills The questions you need to ask when interviewing Data Scientists Link to the Data Science Infinity page: https://data-science-infinity.teachable.com/
In Episode 12 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Bill Schmarzo (The Dean of Big Data) the Former Chief Innovation Officer at Hitachi Vanatara.Bill is a published author, honorary professor and executive fellow, as well as holding influencer status across a number of industry subject matters.Bill specialises in the field of Data Monetisation and talks us through the key considerations (plus we chat about a bunch of other things) which includes:How "Forest Gump" moments defined his careerWhy he wrote his 4th bookWhy organisations need a Chief Data Monetisation OfficerThat empowerment is the secret to unlocking value in Data AnalyticsCultural transformation is the key to Data/Digital TransformationWhy everyone should think like a Data ScientistHow Data Science is like a game of Final Fantasy IIWhy value created by selling data is minuscule in comparison to the value you get from using itHow Data is an economics problem, not an accounting oneWhy use cases are the only way to generate valueWhy economies of learning are greater than economies of scaleLink to book:https://www.amazon.co.uk/Economics-Data-Analytics-Digital-Transformation/dp/1800561415
In Episode 13 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Scott Taylor, Founder of MetaMeta Consulting, where they discuss the importance of Storytelling for Data Management.Scott has recently released a book on this subject and consults on how to raise the profile/importance of Data Management within an organisation, which includes:How it differs from traditional Data Storytelling Why obtaining support for Data Management is a challengeWhy 60% of business objectives won't happen without better Data Management How the vocabulary/terminology needs to change The need for Data Science & Data Management to collaborate betterWhy Data isn't useless without Analytics How you can SEE Analytics, but FEEL Data Management How "scale" immediately brings you into the conversationWhy customer relationships are the most important thing to your businessThe similarities between the CDO and CMOWhy your story is a "sales pitch" designed to drive actionThe three V's of Data Management and how to use themLink to Book: https://www.amazon.co.uk/Telling-Your-Data-Story-Storytelling/dp/1634628950/ref=asc_df_1634628950/?tag=googshopuk-21&linkCode=df0&hvadid=463023885319&hvpos=&hvnetw=g&hvrand=15561163113273700392&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9046663&hvtargid=pla-1032186806364&psc=1&th=1&psc=1
In Episode 14 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Susan Walsh, The Classification Guru.Susan is one of the industry's most recognisable faces when it comes to fixing dirty data. She talks us through the key considerations which allow organisations to drive more value from their data, which includes: Why quality is a people issue and not a data issueWhy you should always start with the end in mindThe benefits of customised taxonomies Why it is an investment and not a cost The importance of standardisation Why maintenance is one of the biggest issues The benefits of classification Why data cleansing is viewed as a low-skilled job but isn'tThe importance of making it as easy as possible How showing your staff the path of the data and how their input affects the journey Why the different data sets need to be the right version of accurate for the people that are using it
In Episode 15 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Peggy Tsai, VP of Data Solutions at BigID, where we discuss how Artificial Intelligence is being used to drive governance, management and privacy initiatives.Having spent 18 years working for some of the biggest names in the financial services industry, Peggy decided she wanted to join a business where she could build products which would have solved a lot of the problems which she encountered throughout her career.In this episodes she highlights:How they have built a product which;Uses AI to discover all data that an organisation hasHow it can classify data automaticallyHow it provides a single source of referenceWhy every business wants to know:what data they havewhere it isthe quality of itWhy everyone's version of the truth is differentHow 80% of your data is below the surface and not visibleWhy every business is trying to create a complete asset inventoryHow AI/ML is being used to expedite that processThe relationship between technology and data governanceWhy focusing on building your data assets allows you to drive more valueHow doing things right from the start allows organisations to be more scalable, flexible and agileWhy analytics often duplicate a lot of work that’s already been doneHow Privacy and Governance should work together
In Episode 16 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Roberto Maranca, VP of Data Excellence at Schneider Electric where they discuss what is required for organisations to achieve Data Excellence. Roberto is one of the most influential people in Data (Data IQ 100 Top 10) and provides fantastic insight and an abundance of metaphors to outline what it takes to truly win with Data, which includes: Why achieving Data Excellence is exactly the same as working outWhy the traditional way of doing things isn’t delivering How organisations have become subject to peer-pressure Why as a data professional you’re a change agent & disruptor The importance of the element of faith to believe in something better Why Data has to go viral to change the DNA of a company The 3 "M’s" you need to address to achieve Data ExcellenceWhy tribal data is; inconsistent, unmeasurable and unmanageable How to erode a portion of the “data debt”Why we are on the second wave on failed digital transformationHow data accessibility is an issue but why no one wants ownership Why quality can only be measured through the eye of the consumer The importance of agreed Data Meanings How you'll know you’re moving in the right directionHappy New Year! We wish you all a very prosperous and safe 2021!
In Episode 17 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Robert Bond, Senior Counsel at Bristows Law, where they discuss what really happens when Privacy, Compliance and Ethics issues arise within an organisation. Robert is not our atypical guest, but with over 20 years of experience in working within Data Protection law, Robert is able to give us some truly unique insights into the consequences of getting this wrong. This includes: How being kept awake by his next-door neighbour at 3am resulted in his career to date How companies have been collecting data since the early 80's The importance of being able to articulate to your customers what the value exchange is of having their data Why recent breaches have made the public more aware of the value of their data How the sum of the fine doesn’t come close to the damage to brand and reputation Why the “I Accept” button is built on lies That a single notice on your website won’t suffice Why you don’t necessarily require consent to legally collect and use peoples data Why your data in the public domain (social media) is fair game The impacts your data estate can have on investment Real-life examples of the common mistakes and the consequences they caused How to translate compliance into ROIWhy there will be increasingly more focus on governance and ethics over the next 5 years
In Episode 18 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Annie Hou, SVP of Data Science at GroupM, where they discuss bias in data science; which includes: Why data isn't a commodity Where bias comes from and how to mitigate it Why we need a call to arms of critical modellingHow data is not the sole answer to all our questions, nor can it ever beThe importance of human judgement & critical thinking The need for better design of data collectionReal-life use cases of bias The commercial impact of bias within an organisation The importance of understanding the context by which the data existsWhy ML/DS degrees aren't helping How we are starting to understanding the impacts of Data Ethics Why we shouldn't automate everything
In Episode 19 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Simon Hayter, Partner & Group Head of Data at Knight Frank, where they discuss some of the major problems the Data & Analytics industry is currently facing.In a world where most organisations require data professionals to be many things to many people, Simon outlines some of his concerns and the role which academia plays, which includes:Why you should be customer-driven, not data-drivenWhy you need to understand what you need from your data function The importance of "pulling" and not "pushing"How all data roles are equal Why most organisations put "big-tech" companies on a pedestalWhy you should view data as you do money That the grass isn't always greener Why you'll never have a finished product How the lines have become blurred in regards to skill-sets Why the same person can't own Analytics & Compliance The need to bring data literacy to all academic subjects Why "data courses" are setting up the future generations for failure How consultancies instigated the data hype
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