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Alteryx 2020 Predictions: Digital Transformation in 2020

VMblog Predictions 2020 

Industry executives and experts share their predictions for 2020.  Read them in this 12th annual VMblog.com series exclusive.

By Ashley Kramer, Senior Vice President of Product Management, Alteryx

Digital Transformation in 2020

Digital transformation initiatives made their way into the mainstream enterprise in the last decade, as access to higher levels of data and new analytics tools made digital growth a necessity for businesses to compete. We can expect to see that trend dramatically increase in the next few years, however, driven by still greater access to data management tools, new self-service data science initiatives, and increasing buy-in from C-level executives to instill change at every level of their companies.

Companies who embrace the modern analytics journey will drive digital transformation

According to a recent IDC report, by 2025 worldwide data will grow 61% to 175 zettabytes, with as much data residing in the cloud as in data centers. As these volumes continue to grow and become more disparate by the day, organizations need to implement ways to efficiently leverage this critical data. Traditional tools typically deliver one operation at one phase of the analytic process for one type of user - which often creates silos among processes, people and technology. The simple answer is to find the right platform to replace legacy and often time-consuming operations, and redirect that time saved into centralizing data and analytics. Doing so allows organizations to come together and make data-driven decisions more easily. When modern analytic platforms are deployed, silos break down and collaboration increases among analysts, data scientists and IT alike. Organizations who modernize their analytic journey and unify their data landscape will have a better chance of success in driving a true digital transformation. 

Self-service data science to the rescue

For years we've heard about self-service analytics capabilities and how they empower people to create insights and drive change. However, descriptive and diagnostic analytics - finding out what happened and why - is just the beginning. How do organizations address high-impact, future-facing questions, such as predicting what may happen next and prescribing the next best action? Historically these steps in the analytic journey required data scientists with specialized model building skills. Yet research shows there are simply not enough of these individuals to keep pace with the advanced analytics needs of an organization. Introducing self-service data science platforms and practices will enable a broader analytic workforce to up-level their skillsets, build models in a code free-way and become the heroes who will fill the data science talent gap and drive advanced analytics within organizations forward.

Top down C-level support is a requirement in creating a culture of data science and analytics

As companies progress in their analytic journey, there will be an impetus for executive management to drive self-service data science and analytics from the top down. Leadership must commit with conviction to evolve beyond the antiquated approach to analytics and propel a cultural shift within their organization. This will be required for buy-in from all lines of the business. Successful executives will identify and champion employees who demonstrate innovative thinking and embrace new technologies, as breaking away from entrenched legacy practices becomes critical in creating this new culture. With the proper C-level support, these innovative employees will be able to embrace new technologies, advance those technologies across their teams and apply them to internal organizational processes to achieve greater business outcomes.

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About the Author

Ashley Kramer 

Ashley Kramer is the senior vice president of product management at Alteryx, responsible for product vison, strategy and roadmap to drive innovation in the Alteryx Platform. Ashley's vision and direction in scaling the product organization, integrating both technology and talent from acquisitions, facilitating the development of cloud-based offerings and strengthening technology partnerships are critical components of the company's success. Under Ashley's leadership, the Alteryx product suite has evolved to a modern, end-to-end platform-the only platform on the market that simultaneously addresses the needs of the data analyst, data scientist and citizen data scientist.

Published Wednesday, January 22, 2020 7:15 AM by David Marshall
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