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Start Storck Slide So set up the context. I will be talking with the data chief office from a German company called Storck. They are a candy and chocolate producer active around the world. During the pandemic time, they have decided to improve their own e-commerce platform in order to increase online sales and reduce dependency on retailers. Still, they have to make sense of all the data that they have available and start doing the first baby steps to get value from the investment they have done in. At the moment they cannot show much benefit to the board member. This is a big issue for the chief data officer. Analytics for all slide The main challenges at the moment are: • Data is coming from different sources and employees are frustrated aggregating data. They spent a lot of hours with excel. • Finding data talents is becoming more difficult in Germany than before. • Real-time sales predictions are still not possible. The opportunity of improving the top and the bottom line remains uncovered. • A lot of insecurities in the supply chain because of post covid situation and the war in Ukrainian. Data remain unused. • Not strategic use of data. • We believe the power of analytics and data-driven decision making shouldn’t just be for the experts – the data scientists, the quants, the developers, et cetera. We believe “Analytics is for All.” From finance and HR, to sales, marketing, and business operations; we see breakthroughs and transformations happening across every department and every industry around the world. • Alteryx helps organizations democratize analytics at scale, and we can help your company create breakthrough moments. IDC slide • We are living in a new economy. An economy where analytics, automation, and AI provide the fuel to new, digitally enabled business models. • Data, analytics, and AI are at the heart of this transformation. With the COVID pandemic and geopolitical instability, digital resiliency is no longer a nice-to-have, it’s now paramount for your organization’s success. • Some organizations have stated that 5 years of digital transformation plans were accomplished in 6 months, and the need for analytics-based decision making is stronger than ever. • But transformation without analytics is just digitization. Analytics is what makes it truly transformative. New vantara slide • The world is awash in data; there’s a digital exhaust that permeates our business. The key is to be able to process and find the insight within that data so your organization can make smarter, faster, better business decisions. • Unfortunately, we see an ANALYTICS GAP today. A recent survey from NewVantage Partners indicated that 92% of organizations continue to invest heavily in analytics, yet only 19% feel that they’re truly being data driven. • This widening analytics gap conspires to impede organizational progress. The main factors causing this gap are lack of analytic skills, poor access to data, slow and error-prone manual processes, and a shortage of knowledge workers. • This gap fundamentally boils down to one thing: a lack of analytics capacity within your organization. Stage of analytic slide • Let’s get a bit more specific... • The International Institute of Analytics (the IIA) has been collecting benchmark data on analytic maturity for many years. • They’ve developed a 5-stage model that assesses “analytics maturity” for an enterprise, showing where organizations are on their journey to becoming a true, data- and analytics-driven enterprise. • It turns out, across 1000s of companies, most orgs score pretty low in their analytics maturity. Out of a 5-point scale, the average score was just a 2.2: “Localized Analytics” and reporting. • This score is so low because many organizations still run their business with 30-year-old spreadsheet technology. • Most companies have some people who can execute advanced analytics—folks like data scientists. However, even at “analytics focused” enterprises, most knowledge workers lack capabilities beyond basic spreadsheet manipulations. For example, a typical accountant, or tax professional, or Marketing Operations expert typically struggles to give data-driven answers to most questions. • Where would you place yourself on this continuum? • The IIA has shown strong correlation between moving up the analytic maturity curve and profit, growth, and shareholder value generation. The companies that invest in data and analytics maturity are the ones winning in the marketplace. • If you’d like to discover where you stand in this maturity model, Alteryx offers a simple tool to help you score yourself on Alteryx.com Need to change slide • If we look at how most organizations operate, analytic processes are based off legacy tools, waterfall methods, and manual steps that can’t keep pace with the modern economy. • Accelerated transformation timelines have forced business users to take matters into their own hands, using tools like spreadsheets. IDC estimates that there are 78 million advanced data workers (such as business analysts) who waste more than 7 hours a week repeating manual data tasks in spreadsheets. • Complexity, constraints, skills, and lack of analytics automation is hurting productivity: 1/3 of workers’ time is lost because activities cannot be completed in a reasonable and expected time. Add this all up, and 62.4 BILLION data and analytic hours are lost annually worldwide. This lost productivity pours out from across your business—from the data engineers who prepares the data, to analysts who work to generate insights, to business leaders who need to make informed decisions. • This lack of automation also causes errors in the analytics process. For example, a major bank lost Billions of dollars because of an analyst’s error. Plus, according to the BBC, the UK’s National Health Service misreported 16,000 COVID cases because of limitations in spreadsheet automation (https://www.bbc.com/news/technology-54423988). • How much time is lost in your organization? How many analytics errors are introduced because of manual processes within your organization? Is there a better way? • There’s a NEW Way, one that spans all people within your organization, one that surfaces insights to the decision makers automatically, one with end-to-end analytics, tools, and all data. • All data, this is important. Ironically, much of our digital economy still runs on paper. Can you automatically extract data from PDFs, Invoices, Shipping forms? • Your organization ultimately, needs to move from error prone, insecure, slow insights to real-time, automated, accurate insights.