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For all slide • Organizations leading in digital transformation have taken a completely different approach to how they manage data access, analytics platforms, and data-driven decision making. They’ve shifted to a democratized approach, an “Analytics for All” approach. • Analytics for All may sound like a lofty goal, but it’s realizable. The keys to success are what we call the “4 E’s.” • Easy: You must make analytics easy – you have to go from data to insights in minutes and hours instead of days or weeks. The platform should be easy enough for anyone to use and have built-in smarts to increase efficiency. • Everything: The platform needs to cover the entire analytic lifecycle, including data access, ELT, prep & blend, data enrichment, analytics, geospatial, automated machine learning, and business insights – everything! • Everywhere: The platform needs to be available everywhere. For every data type and source, from your legacy on-prem databases to modern cloud data warehouses, cloud applications, and RPA bots. • Everyone: No matter your job role, skill level, department, or industry, the platform must enable everyone to participate and drive value in the analytics process. We aim to “meet people where they are” (in terms of skill level), from the meticulous data engineer wrangling huge datasets to the impatient executive needing simple insights now, and everyone in between. • This is the key to unlocking your organization’s potential through data. Now, let’s take a look at what unlocking that kind of potential has translated to for real companies. Customer slide Today, Alteryx Designer and Alteryx Server help 1000s of organizations supercharge their analytics pipelines. Roquette is a French company in the starch production. Ingredients for food nutrition, pharma and other industries. • Roquette Roquette was spending a lot of time using a complicated SQL wizard to produce separate Excel files for each database. No ability to rapidly process and unlock insights from large datasets .Frustrated employees spending too much time interrogating data and not enough time deriving insights. Roquette automated its processes to dramatically reduce the time it takes to complete workloads.Used Alteryx to consolidate, process, analyze disparate data sources, and replicate tasks to prevent repeated manual work.As well as data preparation automation, machine learning is providing new and vital insights into factors that affect manufacturing performance.Limited transparency for leadership teams preventing data-led decisions McLaren , British manufacturer for supercars for the formula 1 . • McLaren: With F1 teams subject to strict budget caps, McLaren Racing realized they needed to consolidate their disparate data sources to maintain a competitive edge through the new racing season. The team also wanted to introduce a culture of scalable data-driven decision-making in order to process and correlate thousands of telemetry points—both on race day and in testing. With Alteryx, the team can now bring together millions of data points in any format, combining production, race day, and testing data to optimize race car efficieny and performance. Signet World ´s largest retailer of diamonds, luxury necklace, gemstones and jewerlery. • When the COVID pandemic hit, retail stores were scrambling to adapt. Signet, parent company of jewelers like Kay and Jared and Sterling and the world's largest retailer of diamond jewelry, used Alteryx to create AI and ML predictive models that helped them adapt to the rapidly-changing global conditions. The results speak for themselves, with a 10% same-store sales increase, a 66% e-commerce sales increase, and 0.6% brick-and-mortar sales increase by the end of 2020. 45 of global 2000 slide Hello Fresh We helped Hello Fresh to speed time to data and make their employees happy. Specially, we helped them to do more with less. In a market we is very difficult to find data talents. Coca Cola is big champion of us, they use alteryx to predict which components will require maintenance in their production. Kellogs we helped them with their data transformation, optimizing its analysis processes with more efficient and centralized results.   Automation slide • How does Alteryx make this happen? With our Analytics Automation platform. Our platform provides a unified, end-to-end analytics experience, enabling everyone to easily create transformative business outcomes. • The Alteryx platform also serves all personas who need to collaborate to turn data into insights – from Data Engineers and IT, who need to collect, manage, and curate data for use across the business, to business analysts and data scientists, who run analytics and create predictions with the data, to business users and owners who leverage the data’s insights to drive business actions and outcomes. • And as you can see, no matter where your data resides, Alteryx analytic automation can refine it into impactful business outcomes delivered across a wide variety of enterprise systems. Porfolio slide • So, what is this Analytics Automation platform made up of? It’s a suite of products that support every stage of the journey from raw data to business outcomes, and every persona it encounters along the way. • Alteryx Designer Cloud powered by Trifacta rescues your data from a variety of silos, transforms it, and loads it to your data warehouse of choice—uniquely designed for the needs of data engineers generating trusted data pipelines. Analytics partner for big query, azure and aws deployments • Alteryx Designer Desktop is the visual analytics automation experience for analysts. It accesses your data for preparation, blending, and analytics, with drag-and-drop capabilities that speed up every step of the analytic process. • To scale, share, and automate your analytic processes lights-out we have Alteryx Server. You create workflows with Alteryx Designer and publish them to Alteryx Server to schedule reporting and automated outcomes. • To uncover hidden signals in your data, turn to Alteryx Machine Learning for accurate and approachable data science. Easily build machine learning models that turn data into future-facing predictions. • Finally, Alteryx Auto Insights accelerates speed-to-insight for everyone across your business. Automated data storytelling for business users creates breakthroughs everywhere in minutes. And of course, supporting these offerings is a platform of built-in data connectors, APIs, collaboration tools, governance, and intelligent, AI-driven capabilities. Everyone slide • #4, Alteryx provides Analytics for Everyone. No matter your job role, skill level, department, or industry, Alteryx allows Everyone to participate in the analytics process. • True analytic transformation can’t happen for an organization just in a few select pockets or silos. Unless everyone is ready to go on the journey together, the dream to become data-driven remains just that—a dream. That’s why the Alteryx platform is designed to be approachable and to meet every user wherever they are in terms of analytic and technical sophistication. • Whether your HR team is looking to identify potential causes of employee churn, your finance team is trying to close the books accurately and quickly, or your supply chain team is working to ensure your inventory is where it needs to be, the Alteryx platform offers the analytic automation that makes it possible. • You’ll see the “Alteryx is for everyone” ethos in the variety of Alteryx visual drag-and-drop interfaces, plus code-friendly and customizable capabilities. From data engineer to data scientist to data analyst to business leader; analytics truly are “for all” with Alteryx. Community slide • We also have an active and vibrant user community with over 300,000 members. There are trainings, certifications, and starter kits available. But the key value of the community that our users tell us about is the peer-to-peer networking. The ability to share tips, best practices, and help one another solve complex business challenges is a game-changer for them.